98-20878. Medicare Program; Schedules of Per-Visit and Per-Beneficiary Limitations on Home Health Agency Costs for Cost Reporting Periods Beginning On or After October 1, 1998  

  • [Federal Register Volume 63, Number 154 (Tuesday, August 11, 1998)]
    [Notices]
    [Pages 42912-42938]
    From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
    [FR Doc No: 98-20878]
    
    
    
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    Part II
    
    
    
    
    
    Department of Health and Human Services
    
    
    
    
    
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    Health Care Financing Administration
    
    
    
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    Medicare Program; Schedules of Per-Visit and Per-Beneficiary 
    Limitations on Home Health Agency Costs for Cost Reporting Periods 
    Beginning On or After October 1, 1998; Notice
    
    Federal Register / Vol. 63, No. 154 / Tuesday, August 11, 1998 / 
    Notices
    
    [[Page 42912]]
    
    
    
    DEPARTMENT OF HEALTH AND HUMAN SERVICES
    
    Health Care Financing Administration
    [HCFA-1035-NC]
    
    
    Medicare Program; Schedules of Per-Visit and Per-Beneficiary 
    Limitations on Home Health Agency Costs for Cost Reporting Periods 
    Beginning On or After October 1, 1998
    
    AGENCY: Health Care Financing Administration (HCFA), HHS.
    
    ACTION: Notice with comment period.
    
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    SUMMARY: This notice with comment period sets forth revised schedules 
    of limitations on home health agency costs that may be paid under the 
    Medicare program for cost reporting periods beginning on or after 
    October 1, 1998. These limitations replace the limitations that were 
    set forth in our January 2, 1998 notice with comment period (63 FR 89) 
    and our March 31, 1998 final rule with comment period (63 FR 15718).
    
    DATES: Effective Date: These schedules of limitations are effective for 
    cost reporting periods beginning on or after October 1, 1998.
        Comment Date: Written comments will be considered if we receive 
    them at the appropriate address, as provided below, no later than 5 p. 
    m. on October 13, 1998.
    
    ADDRESSES: Mail written comments (one original and three copies) to the 
    following address: Health Care Financing Administration, Department of 
    Health and Human Services, Attention: HCFA-1035-NC, P.O. Box 7517, 
    Baltimore, Maryland 21207-0517.
        If you prefer, you may deliver your written comments (one original 
    and three copies) to one of the following addresses:
    
    Room 309-G, Hubert H. Humphrey Building, 200 Independence Avenue, SW., 
    Washington, DC 20201, or
    Room C5-09-26, Central Building, 7500 Security Boulevard, Baltimore, 
    Maryland 21244-1850.
    
        Comments may also be submitted electronically to the following E-
    mail address: [email protected] E-mail comments must include the 
    full name and address of the sender and must be submitted to the 
    referenced address in order to be considered. All comments must be 
    incorporated in the E-mail message because we may not be able to access 
    attachments.
        Because of staffing and resource limitations, we cannot accept 
    comments by facsimile (FAX) transmission. In commenting, please refer 
    to file code HCFA-1035NC. Comments received timely will be available 
    for public inspection as they are received, generally beginning 
    approximately 3 weeks after publication of a document, in Room 309-G of 
    the Department's offices at 200 Independence Avenue, SW, Washington, 
    DC, on Monday through Friday of each week from 8:30 a.m. to 5:00 p.m. 
    (Phone: (202) 690-7890).
    
    FOR FURTHER INFORMATION CONTACT: Michael Bussacca, (410) 786-4602.
    
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    I. Background
    
        Section 1861(v)(1)(A) of the Social Security Act (the Act) 
    authorizes the Secretary to establish limitations on allowable costs 
    incurred by a provider of services that may be paid under the Medicare 
    program, based on estimates of the costs necessary for the efficient 
    delivery of needed health services. Under this authority, we have 
    maintained limitations on home health agency (HHA) costs since 1979. 
    Additional statutory provisions specifically governing the limitations 
    applicable to HHAs are contained at section 1861(v)(1)(L) of the Act.
        Section 1861(v)(1)(L)(i)(IV) of the Act specifies that the per-
    visit limits shall not exceed 105 percent of the median of the labor-
    related and nonlabor per-visit costs for freestanding HHAs. The 
    reasonable costs used in the per-visit calculations will be updated by 
    the home health market basket excluding any change in the home health 
    market basket with respect to cost reporting periods that began on or 
    after July 1, 1994 and before July 1, 1996.
        Section 1861(v)(1)(L)(v)(I) of the Act requires the per-beneficiary 
    annual limitation be a blend of: (1), an agency-specific per-
    beneficiary limitation based on 75 percent of 98 percent of the 
    reasonable costs (including nonroutine medical supplies) for the 
    agency's 12-month cost reporting period ending during Federal fiscal 
    year (FY) 1994, and (2), a census region division per-beneficiary 
    limitation based on 25 percent of 98 percent of the regional average of 
    such costs for the agency's census division for cost reporting periods 
    ending during FY 1994, standardized by the hospital wage index. The 
    reasonable costs used in the per-beneficiary limitation calculations in 
    1 and 2 above will be updated by the home health market basket 
    excluding any changes in the home health market basket with respect to 
    cost reporting periods that began on or after July 1, 1994 and before 
    July 1, 1996. This per-beneficiary limitation based on the blend of the 
    agency-specific and census region division per-beneficiary limitations 
    will then be multiplied by the agency's unduplicated census count of 
    beneficiaries (entitled to benefits under Medicare) to calculate the 
    HHA's aggregate per-beneficiary limitation for the cost reporting 
    period subject to the limitation.
        For new providers and providers without a 12-month cost reporting 
    period ending in fiscal 1994, the per-beneficiary limitation will be a 
    national per-beneficiary limitation which will be equal to the median 
    of these limitations applied to other HHAs as determined under section 
    1861(v)(1)(L)(v) of the Act.
        Payments by Medicare under this system of payment limitations must 
    be the lower of an HHA's actual reasonable allowable costs, per-visit 
    limitations in the aggregate, or a per-beneficiary limitation in the 
    aggregate.
        This notice with comment period sets forth cost limitations for 
    cost reporting periods beginning on or after October 1, 1998. As 
    required by section 1861(v)(1)(L)(iii) of the Act, we are
    
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    using the area wage index applicable under section 1886(d)(3)(E) of the 
    Act determined using the survey of the most recent available wages and 
    wage-related costs of hospitals located in the geographic area in which 
    the home health service is rendered. For purposes of this notice, the 
    HHA wage index is based on the most recent published final hospital 
    wage index, that is, the preclassified hospital wage index effective 
    for hospital discharges on or after October 1, 1997, which uses FY 1994 
    wage data. As the statute also specifies, in applying the hospital wage 
    index to HHAs, no adjustments are to be made to account for hospital 
    reclassifications under section 1886(d)(8)(B) of the Act, decisions of 
    the Medicare Geographic Classification Board (MGCRB) under section 
    1886(d)(10) of the Act, or decisions by the Secretary.
    
    II. Analysis of and Responses to Public Comments to the January 2, 
    1998 Per-Visit Limitation Notice
    
        We received 24 items of timely correspondence on the January 2, 
    1998 notice with comment period. A large percentage of the commenters 
    also expressed concern over various aspects of the BBA `97 including 
    the per-beneficiary limitations and the surety bond requirement which 
    are not pertinent to the January 2, 1998 notice. Nonetheless, we will 
    address the comments regarding the per-beneficiary limitations under 
    section IV. of this notice. The issues not related to the limitations 
    will be taken into account under separate notices specific to those 
    issues. The comments pertaining to the per-visit limitations and our 
    responses are discussed below.
        Comment: The hospital wage indices do not include wages and wage-
    related data for home health services. The most appropriate measure 
    would be a home health agency specific wage index by geographic area.
        Response: The use of the hospital wage indices is required by 
    statute. Section 1861(v)(1)(L)(iii) of the Act specifically states, in 
    part, ``the Secretary shall establish limits under this subparagraph 
    for cost reporting periods beginning on or after such date by utilizing 
    the area wage index applicable under section 1886 (d)(3)(E) and 
    determined using the survey of the most recent available wages and 
    wage-related costs of hospitals located in the geographic area in which 
    the home health service is furnished * * * '' Furthermore, in 1989 we 
    published a schedule of per-visit limitations using a home health 
    agency-specific wage index in the Federal Register (54 FR 27742). Even 
    though we placed a limit of 20 percent on the amount that HHAs cost 
    limitation may increase or decrease when compared to the prior year's 
    cost limitation which applied the hospital wage indices, the HHA 
    industry questioned the validity of the data used in developing the 
    HHA-specific wage indices. A change in legislation was pursued to 
    prohibit the use of a HHA-specific wage index. In 1991 we had to 
    republish the 1989 per-visit limitations in the Federal Register at 56 
    FR 12934 using the hospital wage indices as required by section 6222 of 
    the Budget Reconciliation Act of 1989, Pub. L. 99-239. From that time 
    forward we have been required to use the hospital wage indices in 
    developing the per-visit limitations.
        Comment: Agencies may be forced into more stringent evaluations of 
    what patients are suitable for home care, rejecting those whose needs 
    are going to make them candidates for lengthy and expensive visits. 
    Overall quality of care to patients will fall as field staff are placed 
    under greater pressure to perform more visits in a given time at a 
    lower cost.
        Response: We recognize that there will be valid circumstances not 
    anticipated by the per-visit limitation methodology that will cause an 
    agency to incur cost in excess of that allowed by the per-visit 
    limitation. We provide for those unique situations through the 
    exceptions process as ``atypical'' home health services at 42 CFR 
    413.30(f)(1). It is desirable for all agencies to monitor continually 
    the cost of providing each discipline and to take steps to control the 
    cost of any discipline as soon as there are indications that costs are 
    increasing. We believe that a per-visit limitation of 105 percent of 
    the median will give all agencies an added incentive to improve their 
    management controls with immediate and ongoing benefit to the Medicare 
    program and its beneficiaries through a reduction in cost and a 
    moderation in the future rate of increase in costs.
        Comment: There are additional costs which the home health industry 
    must bear in order to meet new HCFA requirements such as implementation 
    of the home health patient Outcome and Assessment Information Set 
    (OASIS). There should be an add-on to the per-visit limitations in 
    recognition of the costs associated with implementing OASIS 
    requirements.
        Response: We recognize that when agencies are required to implement 
    OASIS, the agencies will incur training costs that they would not have 
    otherwise incurred for this activity. These costs are almost 
    exclusively associated with training staff in the disciplines (skilled 
    nursing, physical, speech pathology, and occupational therapy) that 
    will be performing OASIS assessments at the start of care and on a 
    continuing basis. Accordingly, we have calculated for these disciplines 
    an adjustment factor to be applied to the labor portion of the per-
    visit limitations applicable to these disciplines. This adjustment is 
    intended as an offset to foregone patient care time that will be 
    required for the necessary OASIS training and for gaining experience in 
    performing assessments during the year of implementation. This offset 
    is applied as an adjustment factor to be applied to the labor portion 
    of the affected disciplines. See section III.G. for a discussion of the 
    methodology used to calculate the adjustment factor.
        Comment: The rise in utilization of home health has been due, in 
    part, to the implementation of the hospital prospective payment system 
    by hospitals which now discharge the patient quicker and sicker knowing 
    that the patient can be treated adequately at home and the realization 
    by physicians that home health care is useful, desirable, and 
    economical alternative to institutionalization.
        Response: There are several reasons why home health utilization has 
    grown. Although it has been said that the hospital prospective payment 
    system has resulted in patients being discharged sicker and quicker, 
    and transferred to the home health setting, this is not the case 
    overall. A study published in The New England Journal of Medicine in 
    August 1996 found, ``less than a quarter of home health visits (22 
    percent) were preceded by a hospital stay within 30 days. Nearly half 
    the visits (43 percent.) were unassociated with an inpatient stay in 
    the previous six months.'' Also, the hospital prospective payment 
    system has been in existence since October 1983. Any impact on the 
    costs of services of providing home health care should have already 
    been reflected in our data base which is approximately ten years after 
    the implementation of the hospital prospective payment system.
        Comment: The per-visit limitations should not be published and 
    applied on a retroactive basis.
        Response: The statute is quite explicit in establishing both the 
    effective date of the per-beneficiary limitation, as well as the date 
    by which the per-visit limitations were to be published. As much 
    information as possible was disseminated to the home health trade 
    organizations regarding the impact of the limitations without 
    jeopardizing our rulemaking process. We were aware that
    
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    these home health trade organizations had been forwarding this 
    information to their home health care members as quickly as possible so 
    that agencies could estimate the effect of the per-visit on their 
    financial operations. To the extent possible we made as much 
    information available to the home health industry as we could for 
    preparation to the revised per-visit limitations.
        Comment: The update factors proposed by HCFA appear to be 
    understated by approximately 4.5 percent.
        Response: The update factors displayed in the notice which are 
    applied to the data used in developing the per-visit limitations are 
    reduced update factors as mandated by the statute. Section 
    1861(v)(1)(L)(iv) of the Act specifically prohibits the Secretary from 
    taking into account any changes in the home health market basket with 
    respect to cost reporting periods which began on or after July 1, 1994 
    and before July 1, 1996. Therefore, the update factors displayed in the 
    notice do not include the changes for this period of time.
        Comment: A seventh discipline should be established to set out 
    chronic illness (such as insulin dependent diabetic and wound care) 
    skilled nursing services from other skilled nursing visits. This would 
    assist the definition of patient acuity and would create significant 
    savings to the Medicare program by developing a lower level of skilled 
    nursing visit category that would account for reduced time and effort 
    associated with chronic illness.
        Response: The home health benefit as set forth in 1861(m) of the 
    Act sets forth the disciplines covered for home health services and 
    does not provide for a seventh discipline along the lines suggested by 
    the commenter.
        Comment: The total impact on home health agencies of the reduction 
    in per-visit cost limitations has been understated due to HCFA's 
    separate analysis of the per-visit and the per-beneficiary limitations.
        Response: The impact analysis on the revised per-visit limitation 
    notice is correct in that the analysis can only address the limitations 
    addressed in that notice. At the time the notice was published, the 
    per-beneficiary limitations were not calculated and the impact of both 
    the per-visit and the per-beneficiary limitations was unknown. We did, 
    however, address the dual impact of the revised per-visit limitations 
    and the new per-beneficiary limitations in the final rule with comment 
    for the per-beneficiary limitation which was published on March 31, 
    1998. This impact is addressed in the Federal Register published on 
    March 31, 1998 at 63 FR 15736.
        Comment: After the adjustment of the labor and nonlabor portions 
    from 112 percent of the mean to 105 percent of the median, the amount 
    that would be paid under the labor portion is significantly smaller 
    than what the 1982 wage-index would indicate. Therefore, in order to 
    remain budget neutral, it would appear that a significantly larger 
    budget neutrality factor should be applied to raise the labor-related 
    portion back up to be in line with the 1982 wage-index base.
        Response: Budget neutrality with respect to the wage index requires 
    that aggregate Medicare payments to home health agencies be equal to 
    the payments that would have been made had the 1982 wage index been 
    used. Because the level of the per-visit limitations was adjusted 
    downward from the previous per-visit limitations that were in effect, a 
    different distribution of HHAs are under the revised per-visit 
    limitations. These are the HHAs that largely affect the budget 
    neutrality adjustment factor. These HHAs would have been only slightly 
    better off using the 1982 wage index. Therefore, the adjustment factor 
    reflects the slight increase in payments to obtain budget neutrality.
        Comment: HCFA has stated that fiscal year 1994 is the most current 
    information available for computation of the home health per-visit 
    limitations. Excluding the results of cost reports finalized after 
    October 10, 1995 from the data base seriously skews the cost per-visit 
    limitation calculations with older cost and per-visit data, 
    artificially lowering the median.
        Response: Unlike the per-beneficiary limitations which require the 
    use of Federal FY 1994 as the base period for establishing the 
    limitations, neither the statute nor the Medicare regulations dictate 
    the data base to be used in establishing the per-visit limitations. 
    Moreover, we update the data base by rates of increase in the home 
    health market basket from the end of the FYs of the cost report data 
    used in the data base to the FY end to which the per-visit limitations 
    apply. In keeping with past practices, we updated the data base used 
    for the July 1997 notice in establishing the per-visit limitations. We 
    believe the per-visit limitations reflect the per-visit costs reported 
    by HHAs and these per-visit limitations have been updated appropriately 
    in accordance with the statute.
        Comment: The home health market-basket index does not measure 
    specific costs.
        Response: The home health market-basket is a measurement of costs 
    and inflation overall and is not a measurement of increase in agency-
    specific costs.
    
    III. Update of Per-Visit Limitations
    
        The methodology used to develop the schedule of per-visit 
    limitations in this notice is the same as that used in setting the 
    limitations effective October 1, 1997. We are using the latest settled 
    cost report data from freestanding HHAs to develop the per-visit cost 
    limitations. We have updated the per-visit cost limitations to reflect 
    the expected cost increases between the cost reporting periods in the 
    data base and September 30, 1999 excluding any changes in the home 
    health market basket with respect to cost reporting periods which began 
    on or after July 1, 1994 and before July 1, 1996.
    
    A. Data Used
    
        To develop the schedule of per-visit limitations effective for cost 
    reporting periods beginning on or after October 1, 1998, we extracted 
    actual cost per-visit data from the most recent settled Medicare cost 
    reports for periods beginning on or after January 1, 1994 and settled 
    by May 1998. The majority of the cost reports were from Federal fiscal 
    year 1996. We then adjusted the data using the latest available market 
    basket indexes to reflect expected cost increases occurring between the 
    cost reporting periods contained in our data base and September 30, 
    1999, excluding any changes in the home health market basket with 
    respect to cost reporting periods which began on or after July 1, 1994 
    and before July 1, 1996. Therefore, we excluded this time period when 
    we adjusted the database for the market basket increases.
    
    B. Wage Index
    
        A wage index is used to adjust the labor-related portion of the 
    per-visit limitation to reflect differing wage levels among areas. In 
    establishing the per-visit limitation, we used the FY 1998 hospital 
    wage index, which is based on 1994 hospital wage data.
        Each HHA's labor market area is determined based on the definitions 
    of Metropolitan Statistical Areas (MSAs) issued by the Office of 
    Management and Budget (OMB). Section 1861(v)(1)(L)(iii) of the Act 
    requires us to use the most recently published hospital wage index 
    (that is, the FY 1998 hospital wage index, which was published in the 
    Federal Register on August 29, 1997 (62
    
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    FR 46070)) without regard to whether such hospitals have been 
    reclassified to a new geographic area, to establish the HHA cost 
    limitations. Therefore, the schedule of per-visit limitations reflects 
    the MSA definitions that are currently in effect under the hospital 
    prospective payment system.
        We are continuing to incorporate exceptions to the MSA 
    classification system for certain New England counties that were 
    identified in the July 1, 1992 notice (57 FR 29410). These exceptions 
    have been recognized in setting hospital cost limitations for cost 
    reporting periods beginning on and after July 1, 1979 (45 FR 41218), 
    and were authorized under section 601(g) of the Social Security 
    Amendments of 1983 (Public Law 98-11). Section 601(g) of Public Law 98-
    21 requires that any hospital in New England that was classified as 
    being in an urban area under the classification system in effect in 
    1979 will be considered urban for purposes of the hospital prospective 
    payment system. This provision is intended to ensure equitable 
    treatment under the hospital prospective payment system. Under this 
    authority, the following counties have been deemed to be urban areas 
    for purposes of payment under the inpatient hospital prospective 
    system:
         Litchfield County, CT in the Hartford, CT MSA
         York County, ME and Sagadahoc County, ME in the Portland, 
    ME MSA.
         Merrimack County, NH in the Boston-Brockton-Nashua, MA-NH 
    MSA
         Newport County, RI in the Providence Fall-Warwick, RI MSA
        We are continuing to grant these urban exceptions for the purpose 
    of applying the Medicare hospital wage index to the HHA per-visit 
    limitations. These exceptions result in the same New England County 
    Metropolitan Area definitions for hospitals, skilled nursing 
    facilities, and HHAs. In New England, MSAs are defined on town 
    boundaries rather than on county lines but exclude parts of the four 
    counties cited above that would be considered urban under the MSA 
    definition. Under this notice, these four counties are urban under 
    either definition, New England County Metropolitan Area or MSA.
        Section 1861(v)(1)(L)(iii) requires the use of the area wage index 
    applicable under section 1886(d)(3)(E) of the Act and determined using 
    the survey of the most recently published wages and wage-related costs 
    of hospitals located in the geographic area in which the home health 
    service is furnished without regard to whether such hospitals have been 
    reclassified to a new geographic area pursuant to section 1886(d)(8)(B) 
    of the Act. The wage-index, as applied to the labor portion of the per-
    visit limitation, must be based on the geographic location in which the 
    home health service is actually furnished rather than the physical 
    location of the HHA itself.
    
    C. Updating the Wage Index on a Budget-Neutral Basis
    
        Section 4207(d)(2) of the Omnibus Budget Reconciliation Act of 1990 
    (OBRA '90) (Public Law 101-508) requires that, in updating the wage 
    index, aggregate payments to HHAs will remain the same as they would 
    have been if the wage index had not been updated. Therefore, overall 
    payments to HHAs are not affected by changes in the wage index values.
        To comply with the requirements of section 4207(d)(2) of OBRA '90 
    that updating the wage index be budget neutral, we determined that it 
    is necessary to apply a budget neutrality adjustment factor of 1.03 to 
    the labor-related portion of the per-visit limitations effective for 
    cost reporting periods beginning on or after October 1, 1998. This 
    adjustment ensures that aggregate payments to HHAs are not affected by 
    the change to a wage index based on the hospital wage index published 
    on August 29, 1997.
        To determine the adjustment factor, we analyzed both the data 
    obtained from the freestanding agencies used to determine the per-visit 
    limitations and the settled cost report data covering the same time 
    period for the provider-based agencies. For each agency in this data 
    base, we replaced their current wage index with the one corresponding 
    to the 1982 hospital wage index. Some Metropolitan Statistical Areas 
    (MSAs) that currently exist did not exist at the time this index was 
    created and therefore have no matching 1982 wage index. In the data 
    base we are currently using, these unmatchable MSAs represented 1.3 
    percent of the total visits. Since this percentage was small, we 
    deleted these agencies from the analysis. We then determined what 
    Medicare program payments would be using the 1982 wage index. Next, we 
    determined payments using the new wage index and adjusted the labor 
    portion of the payment by the factor necessary to match program 
    payments if the 1982 wage index was used. (See the example in section 
    VIII.B. of this notice regarding the adjustment of per-visit 
    limitations by the wage index and the budget neutrality factor.)
    
    D. Standardization for Wage Levels
    
        After adjustment by the market basket index, we divided each HHA's 
    per-visit costs into labor and nonlabor portions. The labor portion of 
    cost (77.668 percent as determined by the market basket) represents the 
    employee wage and benefit factor plus the contract services factor from 
    the market basket. We then divided the labor portion of per-visit cost 
    by the wage index applicable to the HHA's location to arrive at an 
    adjusted labor cost.
    
    E. Adjustment for ``Outliers'
    
        We transformed all per-visit cost data into their natural 
    logarithms and grouped them by type of service and MSA, NECMA, or non-
    MSA location, in order to determine the median cost and standard 
    deviation for each group. We then eliminated all ``outlier'' costs 
    which were all per-visit costs less than 10 dollars and per-visit costs 
    more than 800 dollars, retaining only those per-visit costs within two 
    standard deviations of the median in each service.
    
    F. Basic Service Limitation
    
        We calculate a basic service limitation to 105 percent of the 
    median labor and nonlabor portions of the per-visit costs of 
    freestanding HHAs for each type of service. (See Table 3a in section 
    VIII.)
    
    G. Offset Adjustment for the Implementation of the Home Health Outcome 
    Assessment Information (OASIS)
    
        When HHAs are required to use an assessment tool, such as OASIS, 
    for ongoing collection of quality of care data, they will incur costs 
    associated with this requirement. Any costs associated with a new type 
    of reporting system are not reflected in the database used to calculate 
    the per-visit limitations. We have, therefore, decided to provide an 
    offset adjustment factor to be applied to the labor-related component 
    of the per-visit limitations for skilled nursing, physical therapy, 
    speech pathology, and occupational therapy which should be the only 
    disciplines affected by this new requirement.
        Since any new assessment performance tool will replace or be 
    integrated into an agency's existing assessment activities, we believe 
    that there will be no permanent ongoing incremental costs associated 
    with these types of assessment systems. This has been shown through 
    data derived from the ongoing Medicare Quality and Improvement 
    Demonstration using OASIS as an assessment tool. This demonstration 
    shows that the OASIS assessment requires either the same amount of time 
    or less time than the
    
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    patient assessment methods currently in use.
        Absent other types of data, we are using the information from this 
    demonstration to derive an offset adjustment for any new assessment 
    tool that may be imposed on the HHAs effective during the per-visit 
    limitations effective for cost reporting periods beginning on or after 
    October 1, 1998. Data from the OASIS demonstration show that OASIS 
    implementation burden consists of foregone staff time that would 
    otherwise be devoted to patient care activities. There are three types 
    of costs associated with staff time for a typical 18-person staff. The 
    first would be training time for an agency coordinator who conducts 
    training or supervision of the clinical staff. This individual would 
    probably need to spend four hours reading the assessment tool training 
    manual and eight hours attending an assessment tool training session. 
    Training would also be necessary for staff who will be performing the 
    assessment process. The affected disciplines are skilled nursing, 
    physical therapy, speech pathology, and occupational therapy. Each 
    member of these disciplines would probably require four to six hours of 
    training. Since agencies currently conduct inservices for clinical 
    staff, usually on a monthly basis, the training for a new assessment 
    tool would replace at least one of these sessions. The incremental 
    training costs would be approximately half of the total costs, or two 
    to three hours per trained staff member.
        The second type of costs would be increases in assessment time 
    during initial implementation. Experience from the demonstration 
    indicates that total visit time increases by approximately 15 minutes 
    during the first six to seven visits when newly trained staff have 
    begun to perform OASIS assessments. After this initial period of 
    becoming familiar with and acquiring experience with the new assessment 
    tool, there is no net increase in visit duration.
        The third type of costs would be the costs associated with the 
    staff time to revise assessment forms and integrate OASIS elements. For 
    a typical 18-person professional staff this is estimated to require 
    sixteen hours of staff time: twelve hours of professional staff time 
    (skill nursing, physical therapy, etc. * * *) and 4 hours of clerical 
    time.
        The adjustment factor is calculated in terms of per-FTE foregone 
    staff time spent on these training and form revision activities as 
    follows: (a) One hour for the agency coordinator--based on twelve hours 
    total training time allocated over an 18-person professional staff, (b) 
    three hours per staff for training, (c) two hours for increased 
    assessment time during the initial implementation--based on fifteen 
    minutes additional time for each of the first eight visits (rounded up 
    from 7) during which the assessments are performed, and (d) one hour of 
    supervisory time--based on sixteen hours of time spent revising 
    assessment forms allocated over an 18-person professional staff. These 
    four items total seven hours of time per-FTE during the year of OASIS 
    implementation. Using a normal work year of 2000 hours (50 weeks times 
    40 hours) less the seven hours for additional training time for a new 
    assessment program, the offset adjustment for foregone patient care 
    would be .35 percent (2000 hours divided by 1993 hours less one equals 
    .003513). This offset factor will be applied to the labor portion of 
    the skilled nursing, physical therapy, speech pathology and 
    occupational therapy per-visit limitations for both urban and nonurban 
    areas. This factor will only be applied to the labor portion of these 
    per-visit limitations for cost reporting periods beginning on or after 
    October 1, 1998 if HHAs are required to implement OASIS.
        In addition to training and forms revision, agencies will incur 
    printing costs for the revised assessment forms. Data from the OASIS 
    demonstration show that for the typical HHA, i.e., one that has 486 
    admissions per year and an 18-person professional staff, printing the 
    new assessment forms will cost $280. Cost report data for 1994 and 1995 
    show that an HHA with 486, plus or minus 50, admissions, provides a 
    total of thirty thousand visits of all types annually to patients. 
    Allocating the $280 over 30 thousand visit yields an incremental cost 
    of .93 cents per visit, which for estimation purposes is rounded up to 
    one cent per visit for all disciplines.
        The total offset adjustment is applied by first multiplying the 
    labor portion of the per-visit limitation for skill nursing, physical 
    therapy, speech pathology, and occupational therapy by the factor of 
    1.003513 for training and forms revision (the labor-portion is also 
    adjusted by the appropriate wage index and budget neutrality factor), 
    second, the non-labor portion is added to the adjusted labor-portion, 
    and third, one cent is added for printing costs. The OASIS adjustment 
    is only done after the implementation of OASIS is effective.
        Because we believe that there will be no ongoing incremental costs 
    to perform assessments under a new protocol, this adjustment offset 
    will only apply to the labor component of the specified per-visit 
    limitations in the first year of implementation of a new assessment 
    tool.
        While we have based this adjustment on the best data we have 
    available to us, we are concerned that we may not have captured all 
    relevant costs, particularly ongoing and automation costs. In part, 
    this is because our data is based on agencies whose costs in this 
    regard may not have been fully representative of agency costs 
    generally. Therefore, we are asking for specific comments, including 
    documented data, which would inform future decision making on this 
    issue.
    
    IV. Analysis of and Responses to Public Comments to the March 31, 
    1998 Per-Beneficiary Final Rule
    
        We received 125 comments with respect to the March 31, 1998 Federal 
    Register final rule with comment addressing the implementation of the 
    per-beneficiary limitations. A number of comments were on the statutory 
    requirements for which we do not have discretionary authority to change 
    or not implement. These included comments such as: do not apply the 
    per-beneficiary limitations for cost reporting periods beginning on or 
    after October 1, 1997, delay implementation of the per-beneficiary 
    limitations to October 1, 1998, repeal the statutory provisions 
    requiring the application of the per-beneficiary limitations, and the 
    use of fiscal year 1994 as a base year for establishing the per-
    beneficiary limitations is inadequate and should not be used in 
    establishing the per-beneficiary limitations. These comments cannot be 
    adopted without legislative amendments to the Act pertaining to the 
    per-beneficiary limitations. The remaining comments are given below.
        Comment: Agencies that have a per-beneficiary limitation lower than 
    the national per-beneficiary limitation should be allowed to have the 
    higher national per-beneficiary limitation apply.
        Response: The statute is very specific with respect to how the per-
    beneficiary limitations are to be calculated for agencies that have a 
    12-month cost reporting period ending in Federal fiscal year 1994 
    (``clause v'' agencies) and new agencies (``clause vi'' agencies). Once 
    the agency is classified as either a ``clause v'' or ``clause vi'' 
    provider, the per-beneficiary limitation is established by statute. We 
    have no discretion to apply a most beneficial test.
        Comment: The requirement to prorate the unduplicated census count 
    of Medicare beneficiaries when a beneficiary is serviced by more than 
    one HHA for cost reporting periods beginning on or after October 1, 
    1997
    
    [[Page 42917]]
    
    should also apply in determining the unduplicated census count of 
    Medicare beneficiaries for the base year, i.e., cost reporting periods 
    ending during Federal FY 1994.
        Response: The statute does not provide for this. Section 
    1861(v)(1)(L)(vi)(II) of the Act, as added by section 4602(c) of the 
    BBA '97, states, ``For beneficiaries who use services furnished by more 
    than one home health agency, the per-beneficiary limitation shall be 
    prorated among the agencies.'' This provision is specific for services 
    furnished by HHAs for cost reporting periods beginning on or after 
    October 1, 1997. It applies to the application of the per-beneficiary 
    limitation and not the calculation of the per-beneficiary limitation.
        Comment: Many agencies were required to operate under a new system 
    of reimbursement for a full six months before being told precisely what 
    the system was. HCFA should provide some form of leniency for those 
    agencies which have large overpayments due to the delay in publishing 
    the new limitations.
        Response: We recognize that providers with cost reporting periods 
    that began prior to the publication of the per-beneficiary limitations 
    may have experienced some uncertainty in budgeting their costs. 
    Nonetheless, the BBA '97 is quite explicit in establishing both the 
    effective date of these provisions and the date by which these 
    limitations needed to be established. We made as much information as 
    possible available to the home health industry prior to the publication 
    of the limitations. We tried to make a smooth transition into the 
    interim payment system (IPS) for HHAs by providing such information 
    through major home health trade organizations. The IPS was highly 
    publicized through home health trade news articles such that the effect 
    of the IPS should have been anticipated by the home health industry. 
    While there were certain technical issues which could only be addressed 
    through the publication of the limitations, agencies could, to a large 
    degree, estimate the effect of the new limitations on the financial 
    operations. In fact, a trade organization developed computer software 
    packages for estimating the impact of the IPS. Even though the 
    limitations were not available prior to publication, we believe the 
    home health industry had sufficient advanced knowledge to properly 
    react to an estimated impact of the limitations on their operations. If 
    an agency had suspected that overpayments might result from the interim 
    payments received prior to the publication of the limitations, a 
    prudent agency would set the estimated overpayment aside as a potential 
    liability. This way, the agency would not put itself in a financial 
    hardship to pay back any overpayments resulting from the newly 
    published limitations.
        Comment: The 1994 base period is not reflective of the sicker 
    patients being released from the hospitals due to the hospital 
    prospective payment system.
        Response: As stated in the comments addressing the per-visit 
    limitations, although it has been said that the hospital prospective 
    payment system has resulted in patients being discharged quicker and 
    sicker and transferred to a home health setting, this is not the case 
    overall. A study published in The New England Journal of Medicine in 
    August 1996 found , ``less than a quarter of home health visits (22 
    percent) were preceded by a hospital stay within 30 days. Nearly half 
    the visits (43 percent) were unassociated with an inpatient stay in the 
    previous six months.'' Also, the hospital prospective payment system 
    has been in existence since October 1983. Any impact on the costs of 
    services of providing home health care should have already been 
    reflected in our data base which is approximately ten years after the 
    implementation of the hospital prospective payment system.
        Comment: The IPS per-beneficiary limitation puts a cap on the 
    expenses a beneficiary can receive in one year.
        Response: We cannot stress enough that the per-beneficiary 
    limitation is not a cap on an individual beneficiary's amount of 
    services or the costs of services. The per-beneficiary limitation is an 
    aggregate limitation on each agency's total costs. Agencies now have a 
    global budget that increases with the number of beneficiaries served 
    and promotes efficiency in planning and delivering total services to 
    all patients throughout the entire home health episodes. Applying the 
    per-beneficiary limitation in the aggregate, not just to an individual 
    patient, allows HHAs to balance the costs of caring for one patient 
    against the cost of caring for other patients. HHAs have the 
    flexibility to provide the appropriate amount of care (duration of 
    visits, number of visits, and skill level of care given) for all 
    patients within the aggregate per-beneficiary limitation.
        Comment: Do not apply the freeze to inflation for the 1994-1996 
    period. This freeze should only apply to the per-visit limitations.
        Response: The statute applies the freeze to both the per-visit and 
    the per-beneficiary limitations. Section 1861(v)(1)(L)(iv) of the Act 
    states, ``In establishing limits under this subparagraph for cost 
    reporting periods beginning after September 30,1997, the Secretary 
    shall not take into account any changes in the home health market 
    basket, as determined by the Secretary, with respect to cost reporting 
    periods which began on or after July 1, 1994, and before July 1, 
    1996.'' The amendment in section 4601 of the B.B.A. '97 to amend 
    section 1861(v)(1)(L) of the Act encompasses all limits established 
    under section 1861(v)(1)(L) of the Act, including the per-beneficiary 
    limitations. Therefore, the application of the freeze in the market 
    basket increases to both the per-visit limitations and the per-
    beneficary limitations is in accordance with the statutory language.
        Comment: The requirement to apply the wage-index based on the 
    location of the service furnished rather than the location of the HHA 
    should only apply to the per-visit limitations.
        Response: Again the statute requires the wage index based upon the 
    location of the service furnished be applied to both the per-visit and 
    the per-beneficiary limitations. Section 1861(v)(1)(L) of the Act, 
    states in part, `` * * * the Secretary shall establish limits under 
    this subparagraph for cost reporting periods beginning on or after such 
    date by utilizing the area wage index applicable under section 
    1886(d)(3)(E) and determined using the survey of the most recent 
    available wages and wage-related costs of hospitals located in the 
    geographic area in which the home health service is furnished * * * '' 
    This language encompasses all the limitations noted under section 
    1861(v)(1)(L) of the Act, which includes both the per-visit and the 
    per-beneficiary limitations.
        Comment: HCFA should utilize the median amount for each census 
    region for new providers. This will be the best reflection of both 
    wages and utilization for agencies in a given area.
        Response: Section 1861(v)(1)(L)(vi) of the Act as added by section 
    4602(c) of the B.B.A. '97, states, ``For new providers and those 
    providers without a 12-month cost reporting period ending in fiscal 
    year 1994, the per beneficiary limitation shall be equal to the median 
    of these limits (or the Secretary's best estimates thereof) applied to 
    other home health agencies as determined by the Secretary.'' The 
    statute clearly contemplates the use of a single, and therefore 
    national, median as the basis for the new provider limitation. The 
    statute requires the per-beneficiary limitation to be ``the median'' of 
    all the per-beneficiary limitations applied to the other HHAs, i.e., 
    the per-beneficiary
    
    [[Page 42918]]
    
    limitations of the old providers. The statutory language refers to a 
    single median and not several medians, which would be the case if the 
    statute required a regional system suggested by commenters. Moreover, 
    in direct contrast to the language governing the per-beneficiary 
    limitation for old providers, section 1861(v)(1)(L)(vi) does not 
    contain any reference to a calculation based upon the home health 
    agency's census division.
        Comment: The base year for the surviving provider number should be 
    utilized in computing the per-beneficiary limitation. Because the 
    agency still carries assets and liabilities of the agency it purchased, 
    the base year and resulting per-beneficiary limitation should be 
    considered an asset or a liability, as applicable.
        Response: The per-beneficiary limitation is neither an asset nor a 
    liability for an HHA. The per-beneficiary limitation is a limit on the 
    amount of payments made by Medicare. The limitations are not intended 
    to be used as bargaining tools for selling or buying agencies.
        Comment: Extend authorizations for exceptions to the new interim 
    payment system per-beneficiary limitations as well as the per-visit 
    limitations.
        Response: As we stated in the March 31, 1998 Federal Register, we 
    do not believe that Congress intended the general rules at 42 CFR 
    413.30 to apply to the establishment of the per-beneficiary 
    limitations. The statute does not provide any such exceptions or 
    exemptions to the per-beneficiary limitations.
        Comment: On page 15725 of the Federal Register the example 
    references index levels for the period of July 1998 through December 
    1998 from Table 6 for calculating the market basket increase. Table 6 
    in the March 31, 1998 Federal Register stops at November 1997.
        Response: We apologize for the inadvertent omission of the index 
    levels for the months of December 1997 through September 1999. Table 6 
    at 63 FR 103 published on January 2, 1998 contains the same index 
    levels that are appropriate in calculating the applicable market basket 
    increase and the index levels for the months of December 1997 through 
    September 1999 can be obtained from that table.
        Comment: Under section 112 of the Provider Reimbursement Manual, 
    Part I, State health department home health agencies with subunits or 
    branches are permitted to file a combined cost report under the 7800 
    series of provider numbers. (1) How will those subunits and branches 
    that have separate provider numbers and separately bill that previously 
    filed a combined cost report be treated if some decide to no longer 
    file with the combined cost report? (2) How will the remaining agencies 
    that wish to file a combined report be treated? As clause ``v'' or 
    clause ``vi'', and will there be any adjustment to costs for the 
    agency-specific portion? (3) If combined State department home health 
    agencies that file a combined cost report has subunits, and a 
    beneficiary moves from one subunit to another, is that beneficiary 
    counted as one beneficiary in each of the subunits, or is it prorated?
        Response: (1) State health departments with subunits are allowed to 
    file a combined Medicare cost report because of the administrative and 
    financial burden in filing separate Medicare cost reports for all the 
    agencies within the department. The State health departments were 
    allowed to obtain subunit provider numbers for the purposes of tracking 
    revenue and claims processing. Also, it is our understanding that the 
    State health departments did have the capability to segregate the costs 
    for each individual agency within the department. If State health 
    departments decide to start submitting individual Medicare cost reports 
    for the agencies within their department, they will not be allowed to 
    pick and choose individual agencies for which they would like to report 
    separately. The State agency health would have to rescind the 7800 
    series number and submit separate cost reports for all the agencies.
        (2) Since the State health department filed a single cost report 
    for all the agencies under a 7800 number series, and the individual 
    subunits did not file a separate Medicare cost report for which an 
    agency-specific per-beneficiary limitation can be calculated, if the 
    units start filing separate Medicare cost reports under their own 
    numbers, they will be considered clause ``vi'' type providers. 
    Therefore, they will be subject to the national per-beneficiary 
    limitation.
        (3) State health departments that file a single cost report under 
    the 7800 number for all its units will count a single beneficiary in 
    its unduplicated census count for the cost reporting period regardless 
    of the number of units that service that beneficiary. However, if the 
    subunits report separately and the beneficiary is serviced by more than 
    one subunit, the beneficiary must be prorated among the subunits 
    servicing the beneficiary.
        Comment: How do you determine prorating between agencies when you 
    have one agency that was working hard and saw a patient on a limited 
    basis versus the other agency who maximized visits to reach the ceiling 
    of the beneficiary limitation and then discharged the patient?
        Response: We cannot emphasize enough that the per-beneficiary 
    limitation is not a limitation on the amount of services a beneficiary 
    may receive or a limitation on the costs of an individual beneficiary. 
    The per-beneficiary limitation is applied to the total unduplicated 
    census count of the agency and compared to the lesser of the agency's 
    actual costs or per-visit limitation in the aggregate plus nonroutine 
    medical supplies. If an agency discharges a beneficiary with the 
    assumption that the beneficiary has exhausted its per-beneficiary 
    limitation and that beneficiary receives services from another agency, 
    each agency will have less than one beneficiary in its unduplicated 
    census count. For example, if agency ``A'' treats a Medicare 
    beneficiary and after 60 visits, discharges the patient and 
    subsequently the patient receives 40 visits from agency ``B'', agency 
    ``A'' will count the beneficiary as .60 in its unduplicated census 
    count and agency ``B'' will count the beneficiary as .40 in its 
    unduplicated census count. Under a system based on medians and 
    averages, such as the per-beneficiary limitations, it should be 
    expected that some patients' costs and amount of services will be under 
    the average and some patients' costs and amounts of services will be 
    above the average.
        Comment: The blend of an agency-specific component and a regional 
    census division component rewards agencies that had high costs in 
    Federal FY 1994 and penalizes agencies that had low costs in Federal FY 
    1994.
        Response: By basing the per-beneficiary limitation on the HHA's own 
    cost experience, the per-beneficiary limitation should reflect the mix 
    of patients that the agency has been caring for in the past. This mix 
    of patients should not change drastically as compared to the mix of 
    patients for whom the HHA is currently providing care. While variation 
    does exist between agencies, it is a reflection of their actual cost 
    experience. All agencies were subject to the lower of their actual 
    costs or the aggregate per-visit limitation in FY 1994. It is the lower 
    of these amounts that is incorporated into the calculation of the per-
    beneficiary limitations. If two agencies existing in the same area with 
    1994 base periods did not have a competitive advantage over each other 
    in 1994, it does not follow that one would have a competitive advantage 
    due to the application of a per-beneficiary
    
    [[Page 42919]]
    
    limitation. As stated before, the average per-beneficiary cost is a 
    reflection of the mix of patients that the HHA serviced in the base 
    period.
        Comment: Home health agencies that have reclassified branches to 
    subunits should be allowed to use the parent agency's FY 1994 cost 
    report as the base for establishing the per-beneficiary limitation for 
    the new subunit.
        Response: Branches within home health agencies are not providers as 
    recognized under Medicare principles of reimbursement. Branches within 
    home health agencies are part of and under the administrative control 
    of the parent home health agency. The branch itself does not have its 
    own administrative function or control. They are not independently 
    certified by Medicare as a provider nor are they required to file a 
    Medicare cost report. Because branches are not providers of service but 
    an intricate part of a provider, they will be considered new providers 
    if they become certified by Medicare as an independent provider of home 
    health services subsequent to Federal FY 1994.
        Comment: HCFA should allow agencies which filed more than one cost 
    report during Federal FY 1994 to combine the cost reporting periods 
    when they equal or exceed a 12-month cost reporting period for 
    establishing the agency-specific per-beneficiary limitation.
        Response: We do not agree. Medicare has always applied the 
    terminology of a 12-month cost reporting period as being twelve 
    consecutive months as reported in the Medicare cost report.
        Comment: The impact analysis seems almost entirely focused on total 
    Medicare expenditures. It gives short shrift to the problems that will 
    be experienced by patients, HHAs, and other payers such as Medicaid. In 
    order to maintain costs below the per-beneficiary limitation, HHAs will 
    need to reduce the average number of visits provided to Medicare 
    beneficiaries below the levels patients received in 1997. The size of 
    this reduction was not estimated or its impact on Medicare 
    beneficiaries.
        Response: The impact analysis did not discuss the impact on 
    beneficiaries because this payment system does not limit the amount of 
    services a beneficiary may receive from an agency. It is designed to 
    provide more efficient delivery of services. No beneficiary should be 
    denied services as a result of this payment system. These beneficiaries 
    continue to be eligible for Medicare home health benefits without a 
    specific day limit.
        Comment: The use of a two-thirds offset in estimating the impact of 
    the aggregate per-beneficiary limitation on HHAs was not explained 
    adequately. What analysis was performed to justify such an offset?
        Response: An impact analysis requires that we estimate the impact 
    of a change in policy. While there are questions about whether such an 
    impact analysis is needed for a notice that announces rates for a 
    statutorily mandated policy for which there is virtually no discretion, 
    if we are to estimate the impact of the home health policy, we need to 
    consider not just changes in Medicare payments that would be involved, 
    but also the incentives created by the new policy and how providers are 
    likely to react to the change in policy.
        Home health is the highest cost Medicare service category which has 
    no cost-sharing. As a result, there is no direct financial consequences 
    to beneficiaries for use of home health services. Combined with the 
    fact that home health services are non-invasive and the patient does 
    not have to leave home to receive them, there are not the same kinds of 
    constraints on their use as with other medical services.
        We believe that it is prudent to assume that because of the 
    incentives created by the B.B.A. '97 policy and the demonstrated 
    ability of the industry to respond, that there would be a response. 
    This does not necessarily mean that agencies will go out of business or 
    substitute care of Medicare beneficiaries from other payers or sources 
    of funds. It does mean that there would be changes in behavior to 
    recoup some of the financial effects that would otherwise occur with 
    the policy, such as an increase in users serving particularly low 
    users, or reducing the intensity of care in marginal cases, or reducing 
    services that should not be covered by Medicare. For the purposes of 
    this impact analysis, it is our judgement that a 50 percent offset for 
    the per-visit limitations and a 66 percent offset for the per-
    beneficiary limitations is reasonable. To the extent that actual 
    expenditures differ from projections, after adjusting for other factors 
    affecting expenditure growth, we will review the offsets used for 
    future impact analysis.
        Comment: Using HCFA's own analysis it is clear that agencies will 
    either have to go out of business or subsidize care of Medicare 
    beneficiaries from other payers or sources of funds. Layoffs of staff 
    and closures of HHAs will have a direct impact on access to care that 
    HCFA did not address.
        Response: We did not address the impact on access to care due to 
    agency closures because we were not expecting this to be a necessary 
    reaction to the limitations as stated in the above response. We are 
    currently receiving many new applications from agencies wanting to 
    become Medicare certified. If there are any closures as a result of 
    this payment system, it is expected other new agencies or agency 
    expansions will offset these closures.
        Comment: HCFA mentions that 15 percent of the Medicare savings are 
    attributable to payments to managed care plans in FY 1998 and 20 
    percent in FY 1999. It is unclear what this means. Are home health 
    services to managed care enrollees included in projected expenditures? 
    Does HCFA expect managed care organizations to reduce home health 
    services even though it is far below fee-for-service utilization?
        Response: The impact notice mentions that some of the savings from 
    this system are attributable to payments to managed care plans. 
    Payments to Medicare managed care plans are based on fee-for-service 
    Medicare benefits. If we expect to pay less to home health agencies on 
    a fee-for-service basis, then the managed care rates will decrease. 
    Managed care payments, in total, are included as part of our cost 
    projections. Since payments to managed care plans are based on fee-for-
    service use, there is no need to project managed care payments by type. 
    Since the B.B.A. '97 is directed toward changes in fee-for-service, 
    managed care plans are not expected to reduce home health services as a 
    result of this notice.
        Comment: The impact section did not address the impact on per-visit 
    costs of reducing the average number of visits provided per patient. It 
    would seem logical that agencies' per-visit costs would increase as the 
    average reimbursed cost per patient decreases. This impact on per-visit 
    costs will drive agency per-visit costs higher which will result in a 
    greater proportion of agencies exceeding the per-visit cost limitations 
    than HCFA anticipates in its analysis.
        Response: We believe that this system was implemented, in part, 
    because the number of visits per beneficiary had been increasing at 
    double-digit growth rate until 1996. However, the cost per-visit was 
    not increasing at a similar level. The impact of these limitations was 
    not expected to reduce the cost per-visit significantly.
        Comment: The impact analysis is incomplete for two reasons. First, 
    the Regulatory Flexibility Act is insufficient since it does not 
    consider alternative interpretations of the HHA Interim Payment System 
    provision. Second, section 202 of the Unfunded Mandates Reform Act 
    requires its own assessment of costs and benefits.
    
    [[Page 42920]]
    
        Response: The HHA Interim Payment System provision, generally 
    section 4602 of the Balanced Budget Act of 1997, is narrowly 
    constructed such that it does not provide for exceptions or 
    consideration of options that reduce the burden on small entities. We 
    did not prepare a separate assessment of costs and benefits for 
    purposes of Section 202 of the Unfunded Mandates Reform Act because we 
    believe that this regulation did not meet the threshold requirement of 
    an annual expenditure by State, local, or tribal governments, in the 
    aggregate, or by private sector, of $100 million (adjusted annually for 
    inflation).
        Comment: HCFA describes 1,158 new providers on the database as 
    those with December 1994 or December 1995 FY ends. These agencies may 
    not be representative of all new agencies and thus the database may be 
    limited in its use as a measure of the impact on new agencies.
        Response: In order to meet the statutory dates for establishing the 
    limitation, we had a very limited time in which to collect data, but 
    obtained the most recent data available to assess the impact on new 
    agencies. Because of how new providers are defined, we are limited by 
    our resources in identifying all types of new providers. We believe 
    that the data base was sufficient to conduct a valid impact analysis.
        Comment: We see no justification for the additional two percent 
    reduction to the per-beneficiary limitation for new agencies when 
    determining a specific agency's per-beneficiary limitation as shown on 
    page 15726 of the notice.
        Response: The national per-beneficiary calculations at 63 FR 15726 
    should not be multiplied by 98 percent. The two percent reduction to 
    the per-beneficiary limitations has already been taken into account in 
    the calculations of the national per-beneficiary limitation. The 
    examples of the national per-beneficiary calculations at 63 FR 15726 
    should be $3,279.26 for the Dallas MSA and $2,679.89 for rural Texas. 
    We apologize for any inconveniences this may have caused.
        Comment: The example of two merged agencies at 63 FR 15721 does not 
    explain the new November 1, 1997 beginning cost reporting period. The 
    date does not match either the agencies' previous cost reporting 
    periods or the merger date.
        Response: The date in the example of the two merged agencies should 
    state that the weighted per-beneficiary limitation applies to the cost 
    reporting period which began December 1, 1997.
        Comment: The counties listed for MSA region 8840--Washington, DC in 
    the March 31, 1998 Federal Register includes Charles County but those 
    in the January 2, 1998 Federal Register do not. Is Charles County, 
    Maryland in the Washington, DC region for the wage index for both the 
    per-beneficiary limitations and the per-visit limitations?
        Response: Both Federal Registers at 63 FR 102 and 63 FR 15733 show 
    Charles, MD as part of the Washington, DC MSA.
        Comment: Step 2 of the example at 63 FR 15725 depicts a divisor of 
    seven instead of six. Shouldn't the divisor be six?
        Response: Yes, the divisor at step 2 of the example at 63 FR 15725 
    should be six.
        Comment: HCFA should have made the database available when the 
    notice was published and should do so for all future cost limit or 
    payment rate notices. The database should be available for the full 
    comment period.
        Response: We made every attempt to make the data available shortly 
    after the notice was published. Due to the limited time available after 
    finalizing the limits, we were unable to post the data to the Internet 
    until one month after the notice was published. We believe this allowed 
    sufficient time for analysis.
        Comment: HCFA should make provider numbers and other requested data 
    available immediately.
        Response: We believe it is not necessary to identify individual 
    providers in order to calculate the per-beneficiary limitations and 
    therefore did not include this information in our data base on the 
    public use file.
        Comment: HCFA should provide a detailed explanation of how the 
    database was constructed. The discussion should include the method for 
    choosing agencies to include/exclude, the editing and verification 
    process, and an explanation of how denied claims were matched to 
    claims-based unduplicated census counts.
        Response: We believe the calculations were explained fully in the 
    notice. Because the statute is very explicit about how the per-
    beneficiary limitations are determined, we believe the explanations 
    provided in the notice are adequate.
        Comment: All outlying areas, such as Guam, Puerto Rico, and the 
    Virgin Islands, should be combined into one category for purposes of 
    calculating the census division components.
        Response: The statute did not refer specifically to Guam, Puerto 
    Rico, or the Virgin Islands in establishing per-beneficiary 
    limitations. These areas do not fall within any of the existing census 
    region divisions which are required by statute in establishing the 
    regional per-beneficiary limitations. In order to avoid advantaging or 
    disadvantaging any of the census division regions, we treated these 
    areas as separate areas in establishing the regional per-beneficiary 
    limitations. Puerto Rico and the Virgin Islands were combined as one 
    area and Guam as a separate area. We note that the wage indices for the 
    Virgin Islands and Guam were inadvertently omitted from the notice. The 
    wage index for the Virgin Islands is .4588 and the wage index for Guam 
    is .6516.
        Comment: The standardization of the census division average per-
    beneficiary costs by the appropriate wage indices should only be 
    applied to the labor-related component of the per-beneficiary rates.
        Response: The standardization of the per-beneficiary limitations 
    was applied to the labor-related component of the average costs per 
    beneficiary. This adjustment methodology is explained on page 15723 of 
    the notice with respect to how the adjusted unduplicated census counts 
    of Medicare beneficiaries are used in the calculation of the per-
    beneficiary limitations. We applied the labor-related component 
    percentage before calculating the wage-index weighted unduplicated 
    beneficiary counts.
        Comment: Unless HCFA can provide a reasonable explanation for 
    including nonroutine supplies in the costs that were standardized by 
    the wage index, the cost of nonroutine supplies should have been 
    excluded from the standardization of these costs.
        Response: When doing the standardization of the per-beneficiary 
    limitations, we do not separate out each individual component of costs 
    to determine the labor and nonlabor components. The labor-related and 
    nonlabor percentages are determined with respect to all costs incurred 
    by an HHA, and are applied to total costs accordingly.
        Comment: HCFA should explain the reasons for not computing urban 
    and rural costs separately and weighting by patient rather than agency.
        Response: The statute does not provide for establishing urban and 
    rural per-beneficiary limitations. Since the wage-index is applied 
    based on the location of the services rendered to the beneficiaries, 
    the standardization was done through a weighting of the beneficiaries 
    rather than the location of the HHA.
        Comment: HCFA should ensure that HHAs are reimbursed for additional 
    costs associated with new regulatory requirements, such as OASIS costs.
        Response: The statute requires the per-beneficiary limitations to 
    be based
    
    [[Page 42921]]
    
    upon the costs incurred during a particular base year, the Federal FY 
    1994, and does not contemplate adjustments due to costs incurred 
    subsequent to the base year.
        Comment: We received numerous comments concerning the definition of 
    new providers under the IPS. In particular, there are concerns over the 
    application of national per-beneficiary limitations when there are 
    mergers and consolidations of unlike agencies, i.e. provider-based and 
    freestanding or agencies without a FY ending during Federal year 1994 
    with agencies with a FY ending during Federal FY 1994. Various 
    scenarios were written in with respect to whether HCFA would find if 
    such scenarios constituted a merger or consolidation which took place 
    since Federal FY 1994. It was recommended that HCFA limit new provider 
    status to those agencies without a 12-month cost reporting ending 
    during Federal FY 1994 and providers that did not exist at the time of 
    passage of the B.B.A. '97.
        Response: We do not believe the policies set forth in the Federal 
    Register were unreasonable with respect to new provider status under 
    the interim payment system. The policies are not intended to redefine 
    or impose new policies regarding HCFA's long standing policies 
    regarding mergers and consolidations. With respect to provider-based 
    agencies or freestanding agencies, we have always made a distinction 
    between the two types of providers. In May 1998 we issued a Program 
    Memorandum (Transmittal No. A-98-15) which clarified our policies 
    regarding provider-based and freestanding designation. In that 
    memorandum we state that the main purpose of provider or facility-based 
    designation is to accommodate the appropriate accounting and allocation 
    of costs where there is more than one type of provider activity taking 
    place within the same facility/organization. This cost allocation and 
    cost reimbursement more often than not results in Medicare program 
    payments that exceed what would have been paid for if the same services 
    were rendered by a free-standing entity.
        Even though we believe our policies as stated in the March 31, 1998 
    Federal Register with respect to what is a ``clause vi'' agency are 
    reasonable, we have reevaluated our position based on comments and are 
    revising our interpretation as to what constitutes a new provider by 
    adding an alternative reading. In determining whether an agency is a 
    new or old provider, we will consider whether the agency's provider 
    number existed with a 12-month cost reporting period ending during 
    Federal FY 1994. In such a case, that agency can be considered an old 
    provider/clause v provider regardless of any changes that took place in 
    subsequent years. However, those agencies that did not have a 12-month 
    cost reporting period ending during Federal FY 1994 and those agencies 
    that were certified under Medicare with provider numbers that did not 
    exist with a 12-month cost reporting period ending during Federal FY 
    1994 will continue to be considered new providers/clause vi providers. 
    For greater detail on new providers, see section V.C. ``New 
    Providers.''
    
    V. Update of the Per-Beneficiary Limitations
    
        The methodologies and data used to develop the schedule of per-
    beneficiary limitations set forth in this notice are the same as that 
    used in setting the per-beneficiary limitations that were effective for 
    cost reporting periods beginning on or after October 1, 1997. We have 
    updated the per-beneficiary limitations to reflect the expected cost 
    increases occurring between the cost reporting periods ended during 
    Federal FY 1994 and September 30, 1999, excluding any changes in the 
    home health market basket with respect to cost reporting periods which 
    began on or after July 1, 1994 and before July 1, 1996. Therefore, we 
    excluded this time period when we adjusted the database for the market 
    basket increases.
    
    A. Data Used
    
        The cost report data used to develop the schedule of per-
    beneficiary limitations set forth in this notice are for cost reporting 
    periods ending in Federal FY 1994, as required by section 1861(v)(1)(L) 
    of the Act. We have updated the per-beneficiary limitations to reflect 
    the expected cost increases occurring between the cost reporting 
    periods for the data contained in the database and September 30, 1999 
    (excluding, as required by statute, any changes in the home health 
    market basket for cost reporting periods beginning on or after July 1, 
    1994 and before July 1, 1996).
        The interim payment system sets limitations according to two 
    different methodologies. For agencies with cost reporting periods 
    ending during Federal FY 1994, the limitation is based on 75 percent of 
    98 percent of the agencies' own reasonable costs and 25 percent of 98 
    percent of the average census region division costs. At the end of the 
    agency's cost reporting period subject to the per-beneficiary 
    limitations, the labor component of the census region division per-
    beneficiary limitation is adjusted by a wage index based on where the 
    home health services are rendered.
        For new providers and providers without a cost reporting period 
    ending during Federal FY 1994, the per-beneficiary limitation is based 
    on the standardized national median of the blended agency-specific and 
    census region division per-beneficiary limitations described above. 
    This is done by simply arraying the agencies' per-beneficiary 
    limitations and selecting the median case. This national per-
    beneficiary limitation is then standardized for the effect of the wage 
    index. The wage index is applied to the labor component of the national 
    per-beneficiary limitation at the end of the cost reporting period 
    beginning on or after October 1, 1998, and is based on where the home 
    health services are rendered.
    
    B. Wage Index
    
        A wage index is used to adjust the labor-related portion of the 
    standardized regional average per-beneficiary limitation and the 
    national per-beneficiary limitation to reflect differing wage levels 
    among areas. In establishing the regional average per-beneficiary 
    limitation and national per-beneficiary limitation, we used the FY 1998 
    hospital wage index, which is based on 1994 hospital wage data.
        Each HHA's labor market area is determined based on the definitions 
    of Metropolitan Statistical Areas (MSAs) issued by the Office of 
    Management and Budget (OMB). Section 1861(v)(1)(L)(iii) of the Act 
    requires us to use the current hospital wage index (that is, the FY 
    1998 hospital wage index, which was published in the Federal Register 
    on August 29, 1997 (62 FR 46070)) without regard to whether such 
    hospitals have been reclassified to a new geographic area, to establish 
    the HHA cost limitations. Therefore, the schedules of standardized 
    regional average per-beneficiary limitations and the national per-
    beneficiary limitation reflects the MSA definitions that are currently 
    in effect under the hospital prospective payment system.
        As we did for the per-visit limitations, we are continuing to 
    incorporate exceptions to the MSA classification system for certain New 
    England counties that were identified in the July 1, 1992 notice (57 FR 
    29410). These exceptions have been recognized in setting hospital cost 
    limitations for cost reporting periods beginning on and after July 1, 
    1979 (45 FR 41218), and were authorized under section 601(g) of the 
    Social Security Amendments of 1983 (Public Law 98-11). Section 601(g) 
    of Public Law 98-21 requires that any
    
    [[Page 42922]]
    
    hospital in New England that was classified as being in an urban area 
    under the classification system in effect in 1979 will be considered 
    urban for purposes of the hospital prospective payment system. This 
    provision is intended to ensure equitable treatment under the hospital 
    prospective payment system. Under this authority, the following 
    counties have been deemed to be urban areas for purposes of payment 
    under the inpatient hospital prospective system:
         Litchfield County, CT in the Hartford, CT MSA
         York County, ME and Sagadahoc County, ME in the Portland, 
    ME MSA.
         Merrimack County, NH in the Boston-Brockton-Nashua, MA-NH 
    MSA
         Newport County, RI in the Providence Fall-Warwick, RI MSA
        We are continuing to grant these urban exceptions for the purpose 
    of applying the Medicare hospital wage index to the HHA standardized 
    regional average per-beneficiary limitations and the national per-
    beneficiary limitation. These exceptions result in the same New England 
    County Metropolitan Area definitions for hospitals, skilled nursing 
    facilities, and HHAs. In New England, MSAs are defined on town 
    boundaries rather than on county lines but exclude parts of the four 
    counties cited above that would be considered urban under the MSA 
    definition. Under this notice, these four counties are urban under 
    either definition, New England County Metropolitan Area or MSA.
        Section 1861(v)(1)(L)(iii) requires the use of the area wage index 
    applicable under section 1886(d)(3)(E) of the Act and determined using 
    the survey of the most recent available wages and wage-related costs of 
    hospitals located in the geographic area in which the home health 
    service is furnished without regard to whether such hospitals have been 
    reclassified to a new geographic area pursuant to section 1886(d)(8)(B) 
    of the Act. The wage-index, as applied to the labor portion of the 
    regional per-beneficiary limitation and the labor portion of the 
    national per-beneficiary limitation, must be based on the geographic 
    location in which the home health service is actually furnished.
    
    C. New Providers
    
        Section III. C. at 63 FR 15721 through 15722 provides the policy 
    with respect to the determination of whether an agency is a new agency 
    or an old agency for applying the per-beneficiary limitations. 
    Considering the number of comments and inquiries we have received 
    concerning the policies set forth in this section, particularly with 
    respect to what a ``clause vi'' provider is under the IPS, we have 
    reevaluated our position on this issue and are modifying some of the 
    policies.
        In considering this policy we recognize there are many changes an 
    HHA may undergo including changes due to mergers, consolidations, and 
    changes in ownership. Regardless of what constitutes the change there 
    will be a surviving entity resulting from the change and the status of 
    the surviving entity will dictate how the agency will be treated under 
    the per-beneficiary limitations. We believe that providers fall within 
    the following groupings: (a) An HHA with an existing provider number 
    with a provider agreement with HCFA, (b) an HHA accepts assignment of 
    the provider agreement and provider number which had a FY 1994 base 
    year through a change in ownership after the FY 1994 base year, or, (c) 
    an HHA has gone through the certification process since the FY 1994 
    base period as a new provider and has a new provider number assigned 
    after the applicable FY 1994 base year. Under (a) or (b), if the 
    provider number existed as an HHA with a 12-month cost reporting period 
    ending during Federal FY 1994, that 12-month cost reporting period will 
    be the cost reporting period for calculating the agency-specific 
    component of the per-beneficiary limitation and considered an old 
    provider with an agency-specific per-beneficiary limitation. Under (c), 
    the agency will be a new provider and subject to the national per-
    beneficiary limitation.
        We are permitting providers that would be determined to be new 
    providers under the policies set forth in the March 31, 1998 final 
    notice, to elect to be considered an old provider under the policies 
    set forth above. Furthermore, providers that were determined to be new 
    providers under the March 31, 1998 policies may likewise choose to 
    continue to be considered new providers. These choices must be made and 
    conveyed to the agency's fiscal intermediary by October 1, 1998. We 
    note these designations of provider status is solely for purposes of 
    determining the per-beneficiary limitation. However, those providers 
    that elect to continue to be new providers pursuant to the March 31, 
    1998 final notice are subject to that continued new provider status for 
    so long as there are no changes after their October 1, 1998 election 
    that would affect their elected new provider option.
        Our policy addressing HHA branches that become subunits set forth 
    at 63 FR 15722 is not affected by the change addressed above.
    
    VI. Market Basket
    
        The 1993-based cost categories and weights are listed in Table 1 
    below.
    
     Table 1.--1993-Based Cost Categories, Basket Weights, and Price Proxies
    ------------------------------------------------------------------------
                                                                            
    ------------------------------------------------------------------------
    Compensation including allocated          77.668  ......................
     Contract Services' Labor.                                              
        Wages and Salaries including          64.226  HHA Occupational Wage 
         allocated Contract Services'                  Index.               
         Labor.                                                             
        Employee benefits, including          13.442  HHA Occupational      
         allocated Contract Services'                  Benefits Index.      
         Labor.                                                             
    Operations & Maintenance...........        0.832  CPI-U Fuel & Other    
                                                       Utilities.           
    Administrative & General, including        9.569  ......................
     allocated Contract Services' Non-                                      
     labor.                                                                 
        Telephone......................        0.725  CPI-U Telephone.      
        Paper & Printing...............        0.529  CPI-U Household Paper,
                                                       Paper Products &     
                                                       Stationary Supplies. 
        Postage........................        0.724  CPI-U Postage.        
        Other Administrative & General,        7.591  CPI-Services.         
         including allocated Contract                                       
         Services Non-Labor.                                                
    Transportation.....................        3.405  CPI-U Private         
                                                       Transportation.      
    Capital-Related....................        3.204  ......................
        Insurance......................        0.560  CPI-U Household       
                                                       Insurance.           
        Fixed Capital..................        1.764  CPI-U Owner's         
                                                       Equivalent.          
        Movable Capital................        0.880  PPI Machinery &       
                                                       Equipment.           
    Other Expenses, including allocated        5.322  CPI-U All Items Less  
     Contract Services' Non-Labor.                     Food & Energy.       
                                        -------------                       
          Total........................      100.000  ......................
    ------------------------------------------------------------------------
    
    
    [[Page 42923]]
    
    VII. Update of Data Base
    
        The data used to develop the cost per-visit limitations, the census 
    region per-beneficiary limitations and the national per-beneficiary 
    limitation were adjusted using the latest available market basket 
    factors to reflect expected cost increases occurring between the cost 
    reporting periods contained in our database and September 30, 1999, 
    excluding any changes in the home health market basket with respect to 
    cost reporting periods which began on or after July 1, 1994 and before 
    July 1, 1996. The following inflation factors were used in calculating 
    the per-visit, the census region per-beneficiary limitations, and 
    national per-beneficiary limitations:
    
                          Table 2.--Factors for Inflating Database Dollars to September 30,1999                     
                                           [Inflation Adjustment Factors \1\]                                       
    ----------------------------------------------------------------------------------------------------------------
                         FY end                          1993         1994         1995         1996         1997   
    ----------------------------------------------------------------------------------------------------------------
    October 31.....................................      1.11846      1.08387      1.08361      1.08169      1.05773
    November 30....................................      1.11568      1.08773      1.08361      1.08073      1.05507
    December 31....................................      1.11291      1.08650      1.08361      1.07955      1.05241
    January 31.....................................  ...........      1.11015      1.08553      1.08361      1.07816
    February 28....................................  ...........      1.10741      1.08483      1.08361      1.07656
    March 31.......................................  ...........      1.10475      1.08428      1.08361      1.07477
    April 30.......................................  ...........      1.10215      1.08387      1.08361      1.07279
    May 31.........................................  ...........      1.09963      1.08361      1.08361      1.07064
    June 30........................................  ...........      1.09709      1.08361      1.08361      1.06820
    July 31........................................  ...........      1.09480      1.08361      1.08342      1.06566
    August 31......................................  ...........      1.09276      1.08361      1.08304      1.06303
    September 30...................................  ...........      1.09090      1.08361      1.08246     1.06039 
    ----------------------------------------------------------------------------------------------------------------
    \1\ Source: The Home Health Agency Price Index, produced by HCFA. The forecasts are from Standard and Poor's DRI
      1st QTR 1998; @USSIM/[email protected]/Control981 forecast exercise which has historical data through      
      1998:1.                                                                                                       
    
        Multiplying nominal dollars for a given FY end by their respective 
    inflation adjustment factor will express those dollars in the dollar 
    levels for the FY ending September 30, 1998.
        The procedure followed to develop these tables, based on 
    requirements from BBA '97, was to hold the June 1994 level for input 
    price index constant through June 1996. From July 1996 forward, we 
    trended the revised index forward using the percentage gain each month 
    from the HCFA Home Health Agency Input Price Index.
        Thus, the monthly trend of the revised index is the same as that of 
    the HCFA market basket for the period from July 1996 forward.
    
    A. Short Period Adjustment Factors for Cost Reporting Periods 
    Consisting of Fewer Than 12 Months
    
        HHAs with cost reporting periods beginning on or after October 1, 
    1998 may have cost reporting periods that are less than 12 months in 
    length. This may happen, for example, when a new provider enters the 
    Medicare program after its selected FY has already begun, or when a 
    provider experiences a change of ownership before the end of the cost 
    reporting period. The data used in calculating the limitations were 
    updated to September 30, 1999. Therefore, the cost limitations 
    published in this notice are for a 12-month cost reporting period 
    beginning October 1, 1998 and ending September 30, 1999. For 12-month 
    cost reporting periods beginning after October 1, 1998 and before 
    October 1, 1999, cost reporting period adjustment factors are provided 
    in Table 5. However, when a cost reporting period consists of fewer 
    than 12 months, adjustments must be made to the data that have been 
    developed for use with 12-month cost reporting periods. To promote the 
    efficient dissemination of cost limitations to agencies with cost 
    reporting periods of fewer than 12 months, we are publishing an example 
    and tables to enable intermediaries to calculate the applicable 
    adjustment factors.
        Cost reporting periods of fewer than 12 months may not necessarily 
    begin on the first of the month or end on the last day of the month. In 
    order to simplify the process in calculating ``short period'' 
    adjustment factors, if the short cost reporting period begins before 
    the sixteenth of the month, we will consider the period to have begun 
    on the first of that month. If the start of the cost reporting period 
    begins on or after the sixteenth of the month, it will be considered to 
    have begun at the beginning of the next month. Also, if the short 
    period ends before the sixteenth of the month, we will consider the 
    period to have ended at the end of the preceding month; if the short 
    period ends on or after the sixteenth of the month, it will be 
    considered to have ended at the end of that month.
        Example:
        1. After approval by its intermediary, an HHA that had a 1994 base 
    year changed its FY end from June 30 to December 31. Therefore, the HHA 
    had a short cost reporting period beginning on July 1, 1999 and ending 
    on December 31, 1999. The cost reporting period ending during Federal 
    FY 1994 would have been the cost reporting period ending on June 30, 
    1994. The limitations that apply to this short period must be adjusted 
    as follows:
        Step 1--From Table 6, sum the index levels for the months of July 
    1999 through December 1999: 6.82716.
        Step 2--Divide the results from Step 1 by the number of months in 
    short period:
    
    6.827166=1.13787.
    
        Step 3--From Table 6, sum the index levels for the months in the 
    common period of October 1998 through September 1999: 13.45836.
        Step 4--Divide the results in Step 3 by the number of months in the 
    common period:
    
    13.4583612=1.12153.
        Step 5--Divide the results from Step 2 by the results from Step 4. 
    This is the adjustment factor to be applied to the published per-visit 
    and per-beneficiary limitations:
    
    1.137871.12153=1.0145693.
        Step 6--Apply the results from Step 5 to the published limitations.
        For example:
        a. Urban skilled nursing per-visit labor portion
    
    $88.44 x 1.0145693=$89.73.
        b. Urban skilled nursing per-visit nonlabor portion
    
    $19.73 x .0145693=$20.02.
    
    
    [[Page 42924]]
    
    
        c. West South Central Census region division labor portion per-
    beneficiary limitation
    
    $4,588.26 x 1.0145693=$4,655.11.
        d. West South Central Census region division nonlabor portion per-
    beneficiary limitation
    
    $1,319.27 x 1.0145693=$1,338.49.
    
        Step 7. Also apply the results from Step 5 to the calculated 
    agency-specific per-beneficiary amount which has been updated to 
    September 30, 1999 using Table 2.
    
    B. Adjustment Factor for Reporting Year Beginning After October 1, 1998 
    and Before October 1, 1999
    
        If an HHA has a 12-month cost reporting period beginning on or 
    after November 1, 1998, the per-visit limitation and the adjusted 
    census region division per-beneficiary limitation and the agency-
    specific per-beneficiary limitation or the adjusted national per-
    beneficiary limitations are again revised by an adjustment factor from 
    Table 5 that corresponds to the month and year in which the cost 
    reporting period begins. Each factor represents the compounded rate of 
    monthly increase derived from the projected annual increase in the 
    market basket index, and is used to account for inflation in costs that 
    will occur after the date on which the per-beneficiary limitations 
    become effective.
        In adjusting the agency-specific per-beneficiary limitation for the 
    market basket increases since the end of the cost reporting period 
    ending during Federal year 1994, the intermediary will increase the 
    agency-specific per-beneficiary limitation to September 30, 1999. That 
    way when the limitations need to be further adjusted for the cost 
    reporting period, all elements of the limitation calculations can be 
    adjusted by the same factor. For example, if an HHA providing services 
    in the Dallas MSA only and has a cost reporting period beginning 
    January 1, 1999, its occupational therapy per-visit limitation and its 
    per-beneficiary limitation would be further adjusted as follows:
    
            Computation of Revised Per-Visit for Occupational Therapy       
    ------------------------------------------------------------------------
                                                                            
    ------------------------------------------------------------------------
    Adjusted per-visit limitation...........................      $123.05 \1\
    Adjustment from Table 5.................................         1.00720
    Revised per-visit limitation............................      $123.94   
    ------------------------------------------------------------------------
    \1\ Adjusted by appropriate wage index applicable to the Dallas MSA and 
      the budget neutrality adjustment factor of 1.03.                      
    
    
      Computation of Revised Per-beneficiary Limitations for an HHA With a  
                                1994 Base Period                            
    ------------------------------------------------------------------------
                                                                            
    ------------------------------------------------------------------------
    Agency-specific component inflated through December 31,                 
     1999:                                                                  
        $5400.00  x  .98  x  .75............................    $3,969.00   
    West south central division component adjusted by the                   
     Dallas MSA wage index:                                                 
        $5,771.26  x  .98  x  .25...........................     1,413.96   
    Blended per-beneficiary limitation for Dallas-MSA.......    $5,382.96   
    Adjustment factor from Table 5..........................         1.00720
    Adjusted blended per-beneficiary limitation for Dallas                  
     MSA....................................................    $5,521.72   
    ------------------------------------------------------------------------
    
    
     Computation of Revised Per-beneficiary Limitation for a New Provider in
                                 the Dallas MSA                             
    ------------------------------------------------------------------------
                                                                            
    ------------------------------------------------------------------------
    National per-beneficiary limitation for Dallas MSA......    $3,376.61 \1\
    Adjustment factor from Table 5..........................         1.00720
    Adjusted national per-beneficiary limitation............    $3,400.92   
    ------------------------------------------------------------------------
    \1\ Published limitation reflects 98 percent factor.                    
    
    VIII. Schedules of Per-visit and Per-beneficiary Limitations
    
        The schedules of limitations set forth below apply to cost 
    reporting periods beginning on or after October 1, 1998. The 
    intermediaries will compute the adjusted limitations using the wage 
    index(s) published in Tables 4a and 4b of section X. for each MSA and/
    or non MSA for which the HHA provides services to Medicare 
    beneficiaries. The intermediary will notify each HHA it services of its 
    applicable limitations for the area(s) where the HHA furnishes HHA 
    services to Medicare beneficiaries. Each HHA's aggregate limitations 
    cannot be determined prospectively, but depends on each HHA's Medicare 
    utilization (visits and unduplicated census count) by location of the 
    HHA services furnished for the cost reporting periods subject to this 
    document.
        Section 1861(v)(1)(L)(vi)(II) of the Act, requires the per-
    beneficiary limitations to be prorated among HHAs for Medicare 
    beneficiaries who use services furnished by more than one HHA. The per-
    beneficiary limitation will be prorated based on a ratio of the number 
    of visits furnished to the individual beneficiary by the HHA during its 
    cost reporting period to the total number of visits furnished by all 
    HHAs to that individual beneficiary during the same period.
        The proration of the per-beneficiary limitation will be done based 
    on the fraction of services the beneficiary received from the HHA. For 
    example, if an HHA furnished 100 visits to an individual beneficiary 
    during its cost reporting period ending September 30, 1999, and that 
    same individual received a total of 400 visits during that same period, 
    the HHA would count the beneficiary as a .25 unduplicated census count 
    of Medicare patient for the cost reporting period ending September 30, 
    1999.
        The HHA costs that are subject to the per-visit limitations include 
    the cost of medical supplies routinely furnished in conjunction with 
    patient care. Durable medical equipment orthotic, prosthetic, and other 
    medical supplies directly identifiable as services to an individual 
    patient are excluded from the per-visit costs and are paid without 
    regard to the per-visit schedule of limitations. (See Chapter IV of the 
    Home Health Agency Manual (HCFA Pub. II).) The HHA costs that are 
    subject to the per-beneficiary limitations include the costs of medical 
    supplies routinely furnished and nonroutine medical supplies furnished 
    in conjunction with patient care. Durable medical equipment directly 
    identifiable as services to an individual
    
    [[Page 42925]]
    
    patient are excluded from the per-beneficiary limitations and are paid 
    without regard to this schedule of per-beneficiary limitations.
        The intermediary will determine the aggregate limitations for each 
    HHA according to the location where the services are furnished by the 
    HHA. Medicare payment is based on the lower of the HHA's total 
    allowable Medicare costs plus the allowable Medicare costs of 
    nonroutine medical supplies, the aggregate per-visit limitation plus 
    the allowable Medicare costs of nonroutine medical supplies, or the 
    aggregate per-beneficiary limitation. An example of how the aggregate 
    limitations are computed for an HHA providing HHA service to Medicare 
    beneficiaries in both Dallas, Texas and rural Texas are as follows:
        Example: HHA X, an HHA located in Dallas, TX, has 11,500 skilled 
    nursing visits, 4,300 physical therapy visits, 8,900 home health aide 
    visits and an unduplicated census count of 400 Medicare beneficiaries 
    in the Dallas MSA and 5,000 skilled nursing visits, 2,300 physical 
    therapy visits, 4,300 home health aide visits and an unduplicated 
    census count of 200 Medicare beneficiaries in rural Texas during its 
    12-month cost reporting period ending September 30, 1999. The 
    unadjusted agency-specific per-beneficiary amount for the base period 
    (cost reporting period ending September 30, 1994) is $4,825.00. The 
    aggregate limitations are calculated as follows:
    
                                  Determining the Aggregate Per-Beneficiary Limitation                              
    ----------------------------------------------------------------------------------------------------------------
                                                                                           Unduplicated             
                                                                                           census count   Total per 
                  MSA/Non-MSA area                      Per beneficiary limitation         of Medicare   beneficiary
                                                                                          beneficiaries   limitation
    ----------------------------------------------------------------------------------------------------------------
    Dallas, TX..................................  (4,825.00  x  1.09090  x  .98  x  .75)           400     2,113,080
                                                   plus ((4,588.36  x  .9703) plus                                  
                                                   1,319.21))  x  .98  x  .25.                                      
    Rural, TX...................................  (4,825.00  x  1.09090  x  .98  x  .75)           200     1,004,852
                                                   plus ((4,588.36  x  .7404) plus                                  
                                                   1,319.21))  x  .98  x  .25.                                      
    Aggregate Limitation........................  ......................................  .............    3,117,932
    ----------------------------------------------------------------------------------------------------------------
    
    
                 Determining the Aggregate Per-Visit Limitation             
    ------------------------------------------------------------------------
                                        Number of    Per-visit              
            Area/type of visit            visits     limit \1\   Total limit
    ------------------------------------------------------------------------
    Dallas-MSA:......................                                       
        Skilled nursing..............       11,550       108.12    1,248,786
        Physical therapy.............        4,300       121.08      520,644
        Home health aide.............        8,900        45.14      401,746
    Rural Texas:                                                            
        Skilled nursing..............        5,000        77.37      386,850
        Physical therapy.............        2,300        88.95      204.585
        Home health aide.............        4,300        43.06      185,158
    Aggregate limitation.............  ...........  ...........    2,947,769
    ------------------------------------------------------------------------
    \1\ The per-visit has been adjusted by the appropriate wage-index and   
      the budget neutrality adjustment factor of 1.03.                      
    
        For the cost reporting period ending September 30, 1999, the HHA 
    incurred $2,850,000 in Medicare costs for the discipline services and 
    $325,000 for the costs of Medicare nonroutine medical supplies. 
    Medicare reimbursement for this HHA would be $3,117,932, which is the 
    lesser of the actual costs of $2,850,000 plus the costs of nonroutine 
    medical supplies of $325,000 ($3,175,000) or the aggregate per-visit 
    limitation of $2,947,769 plus the costs of nonroutine medical supplies 
    of $325,000 ($3,272,769) or the aggregate per-beneficiary limitation of 
    $3,117,932.
        Before the limitations are applied during settlement of the cost 
    report, the HHA's actual costs are reduced by the amount of individual 
    items of costs (for example, administrative compensation and contract 
    services) that are found to be excessive under the Medicare principles 
    of provider payment. That is, the intermediary reviews the various 
    reported costs, taking into account all the Medicare payment 
    principles, for example, the cost guidelines for physical therapy 
    furnished under arrangements (see 42 CFR 413.106) and the limitation on 
    costs that are substantially out of line with those of comparable HHAs 
    (see 42 CFR 413.9).
    
                        Table 3A.--Per-Visit Limitations                    
    ------------------------------------------------------------------------
                                        Per-visit      Labor       Nonlabor 
              Type of Visit             limitation    portion    portion \1\
    ------------------------------------------------------------------------
    MSA(NECMA) location:                                                    
        Skilled nursing care.........       108.17        $88.4       $19.73
        Physical therapy.............      $121.14        98.82        22.32
        Speech therapy...............       126.52       103.01        23.51
        Occupational therapy.........       123.10        99.81        23.29
        Medical social services......       167.78       136.78        31.00
        Home health aide.............        45.16        36.88         8.28
    NonMSA location:                                                        
        Skilled nursing care.........        94.97        74.13        20.84
        Physical therapy.............       107.26        83.56        23.70
        Speech therapy...............       107.97        83.99        23.98
        Occupational therapy.........       108.15        84.05        24.10
    
    [[Page 42926]]
    
                                                                            
        Medical social services......       130.69       101.38        29.31
        Home health aides............        43.84        34.21         9.63
    ------------------------------------------------------------------------
    \1\ Nonlabor portion of per-visit limitations for HHAs located in       
      Alaska, Hawaii, Puerto Rico, and the Virgin Islands are increased by  
      multiplying them by the following cost-of-living adjustment factors.  
    
    
    ------------------------------------------------------------------------
                                                                  Adjustment
                              Location                              factor  
    ------------------------------------------------------------------------
    Alaska.....................................................        1.150
    Hawaii:                                                                 
        County of Hawaii.......................................        1.225
        County of Hawaii.......................................        1.150
        County of Kauai........................................        1.200
        County of Maui.........................................       1.2225
        County of Kalawao......................................        1.225
    Puerto Rico................................................        1.100
    Virgin Islands.............................................        1.125
    ------------------------------------------------------------------------
    
    
       Table 3b.--Standardized Per-Beneficiary Limitation by Census Region  
                            Division, Labor/Nonlabor                        
    ------------------------------------------------------------------------
                                                       Labor       Nonlabor 
                Census region division               component    component 
    ------------------------------------------------------------------------
    New England (CT, ME, MA, NH, RI, VT)..........    $2,749.52      $790.58
    Middle Atlantic (NJ, NY, PA)..................     2,037.88       585.96
    South Atlantic (DE, DC, FL, GA, MD, NC, SC,                             
     VA, WV)......................................     3,073.90       883.84
    East North Central (IL, IN, MI, OH, WI).......     2,492.70       716.73
    East South Central (AL, KY, MS, TN)...........     4,726.25     1,358.95
    West North Central (IA, KS, MN, MO, NE, ND,                             
     SD)..........................................     2,394.14       688.39
    West South Central (AR, LA, OK, TX)...........     4,588.26     1,319.27
    Mountain (AZ, CO, ID, MT, NV, NM, UT, WY).....     3,023.85       869.45
    Pacific (AK, CA, HI, OR, WA)..................     2,342.45       673.53
    ------------------------------------------------------------------------
    
    
     Table 3c.--Standardized Per-Beneficiary Limitation for New Agencies and
      Agencies Without a 12-Month Cost Report Ending During Federal FY 1994 
    ------------------------------------------------------------------------
                                                      Labor       Nonlabor  
                                                    component     component 
    ------------------------------------------------------------------------
    National....................................    $2,684.47       $771.87 
    ------------------------------------------------------------------------
    
    
     Table 3d.--Standardized Per-Beneficiary Limitations for Puerto Rico and
                                      Guam                                  
    ------------------------------------------------------------------------
                                                       Labor       Nonlabor 
                                                     component    component 
    ------------------------------------------------------------------------
    Puerto Rico...................................    $1,996.22      $573.97
    Guam..........................................     1,929.22       554.71
    ------------------------------------------------------------------------
    
    IX. Wage Indexes
    
                      Table 4a.--Wage Index for Urban Areas                 
    ------------------------------------------------------------------------
                                                                      Wage  
        Urban area (Constituent counties or county equivalents)       index 
    ------------------------------------------------------------------------
    0040  Abilene, TX.............................................    0.8287
      Taylor, TX                                                            
    0060  Aguadilla, PR...........................................    0.4188
      Aguada, PR                                                            
      Aguadilla, PR                                                         
      Moca, PR                                                              
    0080  Akron, OH...............................................    0.9772
      Portage, OH                                                           
      Summit, OH                                                            
    0120  Albany, GA..............................................    0.7914
      Dougherty, GA                                                         
      Lee, GA                                                               
    0160  Albany-Schenectady-Troy, NY.............................    0.8480
      Albany, NY                                                            
      Montgomery, NY                                                        
      Rensselaer, NY                                                        
      Saratoga, NY                                                          
      Schenectady, NY                                                       
      Schoharie, NY                                                         
    0200  Albuquerque, NM.........................................    0.9309
      Bernalillo, NM                                                        
      Sandoval, NM                                                          
      Valencia, NM                                                          
    0220  Alexandria, LA..........................................    0.8162
    
    [[Page 42927]]
    
                                                                            
      Rapides, LA                                                           
    0240  Allentown-Bethlehem-Easton, PA..........................    1.0086
      Carbon, PA                                                            
      Lehigh, PA                                                            
      Northampton, PA                                                       
    0280  Altoona, PA.............................................    0.9137
      Blair, PA                                                             
    0320  Amarillo, TX............................................    0.9425
      Potter, TX                                                            
      Randall, TX                                                           
    0380  Anchorage, AK...........................................    1.2842
      Anchorage, AK                                                         
    0440  Ann Arbor, MI...........................................    1.1785
      Lenawee, MI                                                           
      Livingston, MI                                                        
      Washtenaw, MI                                                         
    0450  Anniston, AL............................................    0.8266
      Calhoun, AL                                                           
    0460  Appleton-Oshkosh-Neenah, WI.............................    0.8996
      Calumet, WI                                                           
      Outagamie, WI                                                         
      Winnebago, WI                                                         
    0470  Arecibo, PR.............................................    0.4218
      Arecibo, PR                                                           
      Camuy, PR                                                             
      Hatillo, PR                                                           
    0480  Asheville, NC...........................................    0.9072
      Buncombe, NC                                                          
      Madison, NC                                                           
    0500  Athens, GA..............................................    0.9087
      Clarke, GA                                                            
      Madison, GA                                                           
      Oconee, GA                                                            
    0520  Atlanta, GA.............................................    0.9823
      Barrow, GA                                                            
      Bartow, GA                                                            
      Carroll, GA                                                           
      Cherokee, GA                                                          
      Clayton, GA                                                           
      Cobb, GA                                                              
      Coweta, GA                                                            
      DeKalb, GA                                                            
      Douglas, GA                                                           
      Fayette, GA                                                           
      Forsyth, GA                                                           
      Fulton, GA                                                            
      Gwinnett, GA                                                          
      Henry, GA                                                             
      Newton, GA                                                            
      Paulding, GA                                                          
      Pickens, GA                                                           
      Rockdale, GA                                                          
      Spalding, GA                                                          
      Walton, GA                                                            
    0560  Atlantic City-Cape May, NJ..............................    1.1155
      Atlantic City, NJ                                                     
      Cape May, NJ                                                          
    0600  Augusta-Aiken, GA-SC....................................    0.9333
      Columbia, GA                                                          
      McDuffie, GA                                                          
      Richmond, GA                                                          
      Aiken, SC                                                             
      Edgefield, SC                                                         
    0640  Austin-San Marcos, TX...................................    0.9133
      Bastrop, TX                                                           
      Caldwell, TX                                                          
      Hays, TX                                                              
      Travis, TX                                                            
      Williamson, TX                                                        
    0680  Bakersfield, CA.........................................    1.0014
      Kern, CA                                                              
    0720  Baltimore, MD...........................................    0.9689
      Anne Arundel, MD                                                      
      Baltimore, MD                                                         
      Baltimore City, MD                                                    
      Carroll, MD                                                           
      Harford, MD                                                           
      Howard, MD                                                            
      Queen Anne, MD                                                        
    0733  Bangor, ME..............................................    0.9478
      Penobscot, ME                                                         
    0743  Barnstable-Yarmouth, MA.................................    1.4291
      Barnstable, MA                                                        
    0760  Baton Rouge, LA.........................................    0.8382
      Ascension, LA                                                         
      East Baton Rouge, LA                                                  
      Livingston, LA                                                        
      West Baton Rouge, LA                                                  
    0840  Beaumont-Port Arthur, TX................................    0.8593
      Hardin, TX                                                            
      Jefferson, TX                                                         
      Orange, TX                                                            
    0860  Bellingham, WA..........................................    1.1221
      Whatcom, WA                                                           
    0870  Benton Harbor, MI.......................................    0.8634
      Berrien, MI                                                           
    0875  Bergen-Passaic, NJ......................................    1.2156
      Bergen, NJ                                                            
      Passaic, NJ                                                           
    0880  Billings, MT............................................    0.9783
      Yellowstone, MT                                                       
    0920  Biloxi-Gulfport-Pascagoula, MS..........................    0.8415
      Hancock, MS                                                           
      Harrison, MS                                                          
      Jackson, MS                                                           
    0960  Binghamton, NY..........................................    0.8914
      Broome, NY                                                            
      Tioga, NY                                                             
    1000  Birmingham, AL..........................................    0.9005
      Blount, AL                                                            
      Jefferson, AL                                                         
      St. Clair, AL                                                         
      Shelby, AL                                                            
    1010  Bismarck, ND............................................    0.7695
      Burleigh, ND                                                          
      Morton, ND                                                            
    1020  Bloomington, IN.........................................    0.9128
      Monroe, IN                                                            
    1040  Bloomington-Normal, IL..................................    0.8733
      McLean, IL                                                            
    1080  Boise City, ID..........................................    0.8856
      Ada, ID                                                               
      Canyon, ID                                                            
    1123  Boston-Worcester Lawrence-Lowell-Brockton, MA-NH........    1.1506
      Bristol, MA                                                           
      Essex, MA                                                             
      Middlesex, MA                                                         
      Norfolk, MA                                                           
      Plymouth, MA                                                          
      Suffolk, MA                                                           
      Worcester, MA                                                         
      Hillsborough, NH                                                      
      Merrimack, NH                                                         
      Rockingham, NH                                                        
      Strafford, NH                                                         
    1125  Boulder-Longmont, CO....................................    1.0015
      Boulder, CO                                                           
    1145  Brazoria, TX............................................    0.9341
      Brazoria, TX                                                          
    1150  Bremerton, WA...........................................    1.0999
      Kitsap, WA                                                            
    1240  Brownsville-Harlingen-San Benito, TX....................    0.8740
      Cameron, TX                                                           
    1260  Bryan-College Station, TX...............................    0.8571
      Brazos, TX                                                            
    1280  Buffalo-Niagara Falls, NY...............................    0.9272
      Erie, NY                                                              
      Niagara, NY                                                           
    1303  Burlington, VT..........................................    1.0142
      Chittenden, VT                                                        
      Franklin, VT                                                          
      Grand Isle, VT                                                        
    1310  Caguas, PR..............................................    0.4459
      Caguas, PR                                                            
      Cayey, PR                                                             
      Cidra, PR                                                             
      Gurabo, PR                                                            
      San Lorenzo, PR                                                       
    1320  Canton-Massillon, OH....................................    0.8961
      Carroll, OH                                                           
      Stark, OH                                                             
    1350  Casper, WY..............................................    0.9013
      Natrona, WY                                                           
    1360  Cedar Rapids, IA........................................    0.8529
      Linn, IA                                                              
    1400  Champaign-Urbana, IL....................................    0.8824
      Champaign, IL                                                         
    1440  Charleston-North Charleston, SC.........................    0.8807
      Berkeley, SC                                                          
      Charleston, SC                                                        
      Dorchester, SC                                                        
    1450  Charleston, WV..........................................    0.9142
      Kanawha, WV                                                           
      Putnam, WV                                                            
    1520  Charlotte-Gastonia-Rock Hill, NC-SC.....................    0.9710
      Cabarrus, NC                                                          
      Gaston, NC                                                            
      Lincoln, NC                                                           
      Mecklenburg, NC                                                       
      Rowan, NC                                                             
      Union, NC                                                             
      York, SC                                                              
    1540  Charlottesville, VA.....................................    0.9051
      Albemarle, VA                                                         
      Charlottesville City, VA                                              
      Fluvanna, VA                                                          
      Greene, VA                                                            
    1560  Chattanooga, TN-GA......................................    0.8658
      Catoosa, GA                                                           
      Dade, GA                                                              
      Walker, GA                                                            
      Hamilton, TN                                                          
      Marion, TN                                                            
    1580  Cheyenne, WY............................................    0.7555
      Laramie, WY                                                           
    1600  Chicago, IL.............................................    1.0860
      Cook, IL                                                              
      DeKalb, IL                                                            
      DuPage, IL                                                            
      Grundy, IL                                                            
    
    [[Page 42928]]
    
                                                                            
      Kane, IL                                                              
      Kendall, IL                                                           
      Lake, IL                                                              
      McHenry, IL                                                           
      Will, IL                                                              
    1620  Chico-Paradise, CA......................................    1.0429
      Butte, CA                                                             
    1640  Cincinnati, OH-KY-IN....................................    0.9474
      Dearborn, IN                                                          
      Ohio, IN                                                              
      Boone, KY                                                             
      Campbell, KY                                                          
      Gallatin, KY                                                          
      Grant, KY                                                             
      Kenton, KY                                                            
      Pendleton, KY                                                         
      Brown, OH                                                             
      Clermont, OH                                                          
      Hamilton, OH                                                          
      Warren, OH                                                            
    1660  Clarksville-Hopkinsville, TN-KY.........................    0.7852
      Christian, KY                                                         
      Montgomery, TN                                                        
    1680  Cleveland-Lorain-Elyria, OH.............................    0.9804
      Ashtabula, OH                                                         
      Cuyahoga, OH                                                          
      Geauga, OH                                                            
      Lake, OH                                                              
      Lorain, OH                                                            
      Medina, OH                                                            
    1720  Colorado Springs, CO....................................    0.9316
      El Paso, CO                                                           
    1740  Columbia, MO............................................    0.9001
      Boone, MO                                                             
    1760  Columbia, SC............................................    0.9192
      Lexington, SC                                                         
      Richland, SC                                                          
    1800  Columbus, GA-AL.........................................    0.8288
      Russell, AL                                                           
      Chattanoochee, GA                                                     
      Harris, GA                                                            
      Muscogee, GA                                                          
    1840  Columbus, OH............................................    0.9793
      Delaware, OH                                                          
      Fairfield, OH                                                         
      Franklin, OH                                                          
      Licking, OH                                                           
      Madison, OH                                                           
      Pickaway, OH                                                          
    1880  Corpus Christi, TX......................................    0.8945
      Nueces, TX                                                            
      San Patricio, TX                                                      
    1900  Cumberland, MD-WV.......................................    0.8822
      Allegany, MD                                                          
      Mineral, WV                                                           
    1920  Dallas, TX..............................................    0.9703
      Collin, TX                                                            
      Dallas, TX                                                            
      Denton, TX                                                            
      Ellis, TX                                                             
      Henderson, TX                                                         
      Hunt, TX                                                              
      Kaufman, TX                                                           
      Rockwall, TX                                                          
    1950  Danville, VA............................................    0.8146
      Danville City, VA                                                     
      Pittsylvania, VA                                                      
    1960  Davenport-Rock Island-Moline, IA-IL.....................    0.8405
      Scott, IA                                                             
      Henry, IL                                                             
      Rock Island, IL                                                       
    2000  Dayton-Springfield, OH..................................    0.9584
      Clark, OH                                                             
      Greene, OH                                                            
      Miami, OH                                                             
      Montgomery, OH                                                        
    2020  Daytona Beach, FL.......................................    0.8375
      Flagler, FL                                                           
      Volusia, FL                                                           
    2030  Decatur, AL.............................................    0.8286
      Lawrence, AL                                                          
      Morgan, AL                                                            
    2040  Decatur, IL.............................................    0.7915
      Macon, IL                                                             
    2080  Denver, CO..............................................    1.0386
      Adams, CO                                                             
      Arapahoe, CO                                                          
      Denver, CO                                                            
      Douglas, CO                                                           
      Jefferson, CO                                                         
    2120  Des Moines, IA..........................................    0.8837
      Dallas, IA                                                            
      Polk, IA                                                              
      Warren, IA                                                            
    2160  Detroit, MI.............................................    1.0825
      Lapeer, MI                                                            
      Macomb, MI                                                            
      Monroe, MI                                                            
      Oakland, MI                                                           
      St. Clair, MI                                                         
      Wayne, MI                                                             
    2180  Dothan, AL..............................................    0.8070
      Dale, AL                                                              
      Houston, AL                                                           
    2190  Dover, DE...............................................    0.9303
      Kent, DE                                                              
    2200  Dubuque, IA.............................................    0.8088
      Dubuque, IA                                                           
    2240  Duluth-Superior, MN-WI..................................    0.9779
      St. Louis, MN                                                         
      Douglas, WI                                                           
    2281  Dutchess County, NY.....................................    1.0632
      Dutchess, NY                                                          
    2290  Eau Claire, WI..........................................    0.8764
      Chippewa, WI                                                          
      Eau Claire, WI                                                        
    2320  El Paso, TX.............................................    1.0123
      El Paso, TX                                                           
    2330  Elkhart-Goshen, IN......................................    0.9081
      Elkhart, IN                                                           
    2335  Elmira, NY..............................................    0.8247
      Chemung, NY                                                           
    2340  Enid, OK................................................    0.7962
      Garfield, OK                                                          
    2360  Erie, PA................................................    0.8862
      Erie, PA                                                              
    2400  Eugene-Springfield, OR..................................    1.1435
      Lane, OR                                                              
    2440  Evansville-Henderson, IN-KY.............................    0.8641
      Posey, IN                                                             
      Vanderburgh, IN                                                       
      Warrick, IN                                                           
      Henderson, KY                                                         
    2520  Fargo-Moorhead, ND-MN...................................    0.8837
      Clay, MN                                                              
      Cass, ND                                                              
    2560  Fayetteville, NC........................................    0.8734
      Cumberland, NC                                                        
    2580  Fayetteville-Springdale-Rogers, AR......................    0.7461
      Benton, AR                                                            
      Washington, AR                                                        
    2620  Flagstaff, AZ-UT........................................    0.9115
      Coconino, AZ                                                          
      Kane, UT                                                              
    2640  Flint, MI...............................................    1.1171
      Genesee, MI                                                           
    2650  Florence, AL............................................    0.7551
      Colbert, AL                                                           
      Lauderdale, AL                                                        
    2655  Florence, SC............................................    0.8711
      Florence, SC                                                          
    2670  Fort Collins-Loveland, CO...............................    1.0248
      Larimer, CO                                                           
    2680  Ft. Lauderdale, FL......................................    1.0448
      Broward, FL                                                           
    2700  Fort Myers-Cape Coral, FL...............................    0.8788
      Lee, FL                                                               
    2710  Fort Pierce-Port St. Lucie, FL..........................    1.0257
      Martin, FL                                                            
      St. Lucie, FL                                                         
    2720  Fort Smith, AR-OK.......................................    0.7769
      Crawford, AR                                                          
      Sebastian, AR                                                         
      Sequoyah, OK                                                          
    2750  Fort Walton Beach, FL...................................    0.8765
      Okaloosa, FL                                                          
    2760  Fort Wayne, IN..........................................    0.8901
      Adams, IN                                                             
      Allen, IN                                                             
      DeKalb, IN                                                            
      Huntington, IN                                                        
      Wells, IN                                                             
      Whitley, IN                                                           
    2800  Forth Worth-Arlington, TX...............................    0.9979
      Hood, TX                                                              
      Johnson, TX                                                           
      Parker, TX                                                            
      Tarrant, TX                                                           
    2840  Fresno, CA..............................................    1.0607
      Fresno, CA                                                            
      Madera, CA                                                            
    2880  Gadsden, AL.............................................    0.8815
      Etowah, AL                                                            
    2900  Gainesville, FL.........................................    0.9616
      Alachua, FL                                                           
    2920  Galveston-Texas City, TX................................    1.0564
      Galveston, TX                                                         
    2960  Gary, IN................................................    0.9633
      Lake, IN                                                              
      Porter, IN                                                            
    2975  Glens Falls, NY.........................................    0.8386
      Warren, NY                                                            
      Washington, NY                                                        
    2980  Goldsboro, NC...........................................    0.8443
      Wayne, NC                                                             
    2985  Grand Forks, ND-MN......................................    0.8745
      Polk, MN                                                              
      Grand Forks, ND                                                       
    2995  Grand Junction, CO......................................    0.9090
      Mesa, CO                                                              
    3000  Grand Rapids-Muskegon-Holland, MI.......................    1.0147
      Allegan, MI                                                           
    
    [[Page 42929]]
    
                                                                            
      Kent, MI                                                              
      Muskegon, MI                                                          
      Ottawa, MI                                                            
    3040  Great Falls, MT.........................................    0.8803
      Cascade, MT                                                           
    3060  Greeley, CO.............................................    1.0097
      Weld, CO                                                              
    3080  Green Bay, WI...........................................    0.9097
      Brown, WI                                                             
    3120  Greensboro-Winston-Salem-High Point, NC.................    0.9351
      Alamance, NC                                                          
      Davidson, NC                                                          
      Davie, NC                                                             
      Forsyth, NC                                                           
      Guilford, NC                                                          
      Randolph, NC                                                          
      Stokes, NC                                                            
      Yadkin, NC                                                            
    3150  Greenville, NC..........................................    0.9064
      Pitt, NC                                                              
    3160  Greenville-Spartanburg-Anderson, SC.....................    0.9059
      Anderson, SC                                                          
      Cherokee, SC                                                          
      Greenville, SC                                                        
      Pickens, SC                                                           
      Spartanburg, SC                                                       
    3180  Hagerstown, MD..........................................    0.9681
      Washington, MD                                                        
    3200  Hamilton-Middletown, OH.................................    0.8767
      Butler, OH                                                            
    3240  Harrisburg-Lebanon-Carlisle, PA.........................    1.0187
      Cumberland, PA                                                        
      Dauphin, PA                                                           
      Lebanon, PA                                                           
      Perry, PA                                                             
    3283  Hartford, CT............................................    1.2562
      Hartford, CT                                                          
      Litchfield, CT                                                        
      Middlesex, CT                                                         
      Tolland, CT                                                           
    3285  Hattiesburg, MS.........................................    0.7192
      Forrest, MS                                                           
      Lamar, MS                                                             
    3290  Hickory-Morganton-Lenoir, NC............................    0.8686
      Alexander, NC                                                         
      Burke, NC                                                             
      Caldwell, NC                                                          
      Catawba, NC                                                           
    3320  Honolulu, HI............................................    1.1816
      Honolulu, HI                                                          
    3350  Houma, LA...............................................    0.7854
      Lafourche, LA                                                         
      Terrebonne, LA                                                        
    3360  Houston, TX.............................................    0.9855
      Chambers, TX                                                          
      Fort Bend, TX                                                         
      Harris, TX                                                            
      Liberty, TX                                                           
      Montgomery, TX                                                        
      Waller, TX                                                            
    3400  Huntington-Ashland, WV-KY-OH............................    0.9160
      Boyd, KY                                                              
      Carter, KY                                                            
      Greenup, KY                                                           
      Lawrence, OH                                                          
      Cabell, WV                                                            
      Wayne, WV                                                             
    3440  Huntsville, AL..........................................    0.8485
      Limestone, AL                                                         
      Madison, AL                                                           
    3480  Indianapolis, IN........................................    0.9848
      Boone, IN                                                             
      Hamilton, IN                                                          
      Hancock, IN                                                           
      Hendricks, IN                                                         
      Johnson, IN                                                           
      Madison, IN                                                           
      Marion, IN                                                            
      Morgan, IN                                                            
      Shelby, IN                                                            
    3500  Iowa City, IA...........................................    0.9413
      Johnson, IA                                                           
    3520  Jackson, MI.............................................    0.9052
      Jackson, MI                                                           
    3560  Jackson, MS.............................................    0.7760
      Hinds, MS                                                             
      Madison, MS                                                           
      Rankin, MS                                                            
    3580  Jackson, TN.............................................    0.8522
      Madison, TN                                                           
      Chester, TN                                                           
    3600  Jacksonville, FL........................................    0.8969
      Clay, FL                                                              
      Duval, FL                                                             
      Nassau, FL                                                            
      St. Johns, FL                                                         
    3605  Jacksonville, NC........................................    0.6973
      Onslow, NC                                                            
    3610  Jamestown, NY...........................................    0.7552
      Chautaqua, NY                                                         
    3620  Janesville-Beloit, WI...................................    0.8824
      Rock, WI                                                              
    3640  Jersey City, NJ.........................................    1.1412
      Hudson, NJ                                                            
    3660  Johnson City-Kingsport-Bristol, TN-VA...................    0.9114
      Carter, TN                                                            
      Hawkins, TN                                                           
      Sullivan, TN                                                          
      Unicoi, TN                                                            
      Washington, TN                                                        
      Bristol City, VA                                                      
      Scott, VA                                                             
      Washington, VA                                                        
    3680  Johnstown, PA...........................................    0.8378
      Cambria, PA                                                           
      Somerset, PA                                                          
    3700  Jonesboro, AR...........................................    0.7443
      Craighead, AR                                                         
    3710  Joplin, MO..............................................    0.7510
      Jasper, MO                                                            
      Newton, MO                                                            
    3720  Kalamazoo-Battlecreek, MI...............................    1.0668
      Calhoun, MI                                                           
      Kalamazoo, MI                                                         
      Van Buren, MI                                                         
    3740  Kankakee, IL............................................    0.8653
      Kankakee, IL                                                          
    3760  Kansas City, KS-MO......................................    0.9564
      Johnson, KS                                                           
      Leavenworth, KS                                                       
      Miami, KS                                                             
      Wyandotte, KS                                                         
      Cass, MO                                                              
      Clay, MO                                                              
      Clinton, MO                                                           
      Jackson, MO                                                           
      Lafayette, MO                                                         
      Platte, MO                                                            
      Ray, MO                                                               
    3800  Kenosha, WI.............................................    0.9196
      Kenosha, WI                                                           
    3810  Killeen-Temple, TX......................................    1.0252
      Bell, TX                                                              
      Coryell, TX                                                           
    3840  Knoxville, TN...........................................    0.8831
      Anderson, TN                                                          
      Blount, TN                                                            
      Knox, TN                                                              
      Loudon, TN                                                            
      Sevier, TN                                                            
      Union, TN                                                             
    3850  Kokomo, IN..............................................    0.8416
      Howard, IN                                                            
      Tipton, IN                                                            
    3870  La Crosse, WI-MN........................................    0.8749
      Houston, MN                                                           
      La Crosse, WI                                                         
    3880  Lafayette, LA...........................................    0.8206
      Acadia, LA                                                            
      Lafayette, LA                                                         
      St. Landry, LA                                                        
      St. Martin, LA                                                        
    3920  Lafayette, IN...........................................    0.9174
      Clinton, IN                                                           
      Tippecanoe, IN                                                        
    3960  Lake Charles, LA........................................    0.7776
      Calcasieu, LA                                                         
    3980  Lakeland-Winter Haven, FL...............................    0.8806
      Polk, FL                                                              
    4000  Lancaster, PA...........................................    0.9481
      Lancaster, PA                                                         
    4040  Lansing-East Lansing, MI................................    1.0088
      Clinton, MI                                                           
      Eaton, MI                                                             
      Ingham, MI                                                            
    4080  Laredo, TX..............................................    0.7325
      Webb, TX                                                              
    4100  Las Cruces, NM..........................................    0.8646
      Dona Ana, NM                                                          
    4120  Las Vegas, NV-AZ........................................    1.0592
      Mohave, AZ                                                            
      Clark, NV                                                             
      Nye, NV                                                               
    4150  Lawrence, KS............................................    0.8608
      Douglas, KS                                                           
    4200  Lawton, OK..............................................    0.9045
      Comanche, OK                                                          
    4243  Lewiston-Auburn, ME.....................................    0.9536
      Androscoggin, ME                                                      
    4280  Lexington, KY...........................................    0.8390
      Bourbon, KY                                                           
      Clark, KY                                                             
      Fayette, KY                                                           
      Jessamine, KY                                                         
      Madison, KY                                                           
      Scott, KY                                                             
      Woodford, KY                                                          
    4320  Lima, OH................................................    0.9185
      Allen, OH                                                             
      Auglaize, OH                                                          
    4360  Lincoln, NE.............................................    0.9231
    
    [[Page 42930]]
    
                                                                            
      Lancaster, NE                                                         
    4400  Little Rock-North Little Rock, AR.......................    0.8490
      Faulkner, AR                                                          
      Lonoke, AR                                                            
      Pulaski, AR                                                           
      Saline, AR                                                            
    4420  Longview-Marshall, TX...................................    0.8613
      Gregg, TX                                                             
      Harrison, TX                                                          
      Upshur, TX                                                            
    4480  Los Angeles-Long Beach, CA..............................    1.2232
      Los Angeles, CA                                                       
    4520  Louisville, KY-IN.......................................    0.9507
      Clark, IN                                                             
      Floyd, IN                                                             
      Harrison, IN                                                          
      Scott, IN                                                             
      Bullitt, KY                                                           
      Jefferson, KY                                                         
      Oldham, KY                                                            
    4600  Lubbock, TX.............................................    0.8400
      Lubbock, TX                                                           
    4640  Lynchburg, VA...........................................    0.8228
      Amherst, VA                                                           
      Bedford, VA                                                           
      Bedford City, VA                                                      
      Campbell, VA                                                          
      Lynchburg City, VA                                                    
    4680  Macon, GA...............................................    0.9227
      Bibb, GA                                                              
      Houston, GA                                                           
      Jones, GA                                                             
      Peach, GA                                                             
      Twiggs, GA                                                            
    4720  Madison, WI.............................................    1.0055
      Dane, WI                                                              
    4800  Mansfield, OH...........................................    0.8639
      Crawford, OH                                                          
      Richland, OH                                                          
    4840  Mayaguez, PR............................................    0.4475
      Anasco, PR                                                            
      Cabo Rojo, PR                                                         
      Hormigueros, PR                                                       
      Mayaguez, PR                                                          
      Sabana Grande, PR                                                     
      San German, PR                                                        
    4880  McAllen-Edinburg-Mission, TX............................    0.8371
      Hidalgo, TX                                                           
    4890 Medford-Ashland, OR......................................    1.0354
      Jackson, OR                                                           
    4900  Melbourne-Titusville-Palm Bay, FL.......................    0.8819
      Brevard, Fl                                                           
    4920  Memphis, TN-AR-MS.......................................    0.8589
      Crittenden, AR                                                        
      DeSoto, MS                                                            
      Fayette, TN                                                           
      Shelby, TN                                                            
      Tipton, TN                                                            
    4940  Merced, CA..............................................    1.0947
      Merced, CA                                                            
    5000  Miami, FL...............................................    0.9859
      Dade, FL                                                              
    5015  Middlesex-Somerset-Hunterdon, NJ........................    1.1059
      Hunterdon, NJ                                                         
      Middlesex, NJ                                                         
      Somerset, NJ                                                          
    5080  Milwaukee-Waukesha, WI..................................    0.9819
      Milwaukee, WI                                                         
      Ozaukee, WI                                                           
      Washington, WI                                                        
      Waukesha, WI                                                          
    5120  Minneapolis-St. Paul, MN-WI.............................    1.0733
      Anoka, MN                                                             
      Carver, MN                                                            
      Chisago, MN                                                           
      Dakota, MN                                                            
      Hennepin, MN                                                          
      Isanti, MN                                                            
      Ramsey, MN                                                            
      Scott, MN                                                             
      Sherburne, MN                                                         
      Washington, MN                                                        
      Wright, MN                                                            
      Pierce, WI                                                            
      St. Croix, WI                                                         
    5160  Mobile, AL..............................................    0.8455
      Baldwin, AL                                                           
      Mobile, AL                                                            
    5170  Modesto, CA.............................................    1.0794
      Stanislaus, CA                                                        
    5190  Monmouth-Ocean, NJ......................................    1.0934
      Monmouth, NJ                                                          
      Ocean, NJ                                                             
    5200  Monroe, LA..............................................    0.8414
      Ouachita, LA                                                          
    5240  Montgomery, AL..........................................    0.7671
      Autauga, AL                                                           
      Elmore, AL                                                            
      Montgomery, AL                                                        
    5280  Muncie, IN..............................................    0.9173
      Delaware, IN                                                          
    5330  Myrtle Beach, SC........................................    0.8072
      Horry, SC                                                             
    5345  Naples, FL..............................................    1.0109
      Collier, FL                                                           
    5360  Nashville, TN...........................................    0.9182
      Cheatham, TN                                                          
      Davidson, TN                                                          
      Dickson, TN                                                           
      Robertson, TN                                                         
      Rutherford TN                                                         
      Sumner, TN                                                            
      Williamson, TN                                                        
      Wilson, TN                                                            
    5380  Nassau-Suffolk, NY......................................    1.3807
      Nassau, NY                                                            
      Suffolk, NY                                                           
    5483  New Haven-Bridgeport-Stamford-Danbury-Waterbury, CT.....    1.2618
      Fairfield, CT                                                         
      New Haven, CT                                                         
    5523  New London-Norwich, CT..................................    1.2013
      New London, CT                                                        
    5560  New Orleans, LA.........................................    0.9566
      Jefferson, LA                                                         
      Orleans, LA                                                           
      Plaquemines, LA                                                       
      St. Bernard, LA                                                       
      St. Charles, LA                                                       
      St. James, LA                                                         
      St. John Baptist, LA                                                  
      St. Tammany, LA                                                       
    5600  New York, NY............................................    1.4449
      Bronx, NY                                                             
      Kings, NY                                                             
      New York, NY                                                          
      Putnam, NY                                                            
      Queens, NY                                                            
      Richmond, NY                                                          
      Rockland, NY                                                          
      Westchester, NY                                                       
    5640  Newark, NJ..............................................    1.1980
      Essex, NJ                                                             
      Morris, NJ                                                            
      Sussex, NJ                                                            
      Union, NJ                                                             
      Warren, NJ                                                            
    5660  Newburgh, NY-PA.........................................    1.1283
      Orange, NY                                                            
      Pike, PA                                                              
    5720  Norfolk-Virginia Beach-Newport News, VA-NC..............    0.8316
      Currituck, NC                                                         
      Chesapeake City, VA                                                   
      Gloucester, VA                                                        
      Hampton City, VA                                                      
      Isle of Wight, VA                                                     
      James City, VA                                                        
      Mathews, VA                                                           
      Newport News City, VA                                                 
      Norfolk City, VA                                                      
      Poquoson City, VA                                                     
      Portsmouth City, VA                                                   
      Suffolk City, VA                                                      
      Virginia Beach City, VA                                               
      Williamsburg City, VA                                                 
      York, VA                                                              
    5775  Oakland, CA.............................................    1.5068
      Alameda, CA                                                           
      Contra Costa, CA                                                      
     5790  Ocala, FL..............................................    0.9032
      Marion, FL                                                            
    5800  Odessa-Midland, TX......................................    0.8660
      Ector, TX                                                             
      Midland, TX                                                           
    5880  Oklahoma City, OK.......................................    0.8481
      Canadian, OK                                                          
      Cleveland, OK                                                         
      Logan, OK                                                             
      McClain, OK                                                           
      Oklahoma, OK                                                          
      Pottawatomie, OK                                                      
    5910  Olympia, WA.............................................    1.0901
      Thurston, WA                                                          
    5920  Omaha, NE-IA............................................    0.9421
      Pottawattamie, IA                                                     
      Cass, NE                                                              
      Douglas, NE                                                           
      Sarpy, NE                                                             
      Washington, NE                                                        
    5945  Orange County, CA.......................................    1.1605
      Orange, CA                                                            
    5960  Orlando, FL.............................................    0.9397
      Lake, FL                                                              
      Orange, FL                                                            
      Osceola, FL                                                           
      Seminole, FL                                                          
    5990  Owensboro, KY...........................................    0.7480
      Daviess, KY                                                           
    6015  Panama City, FL.........................................    0.8337
    
    [[Page 42931]]
    
                                                                            
      Bay, FL                                                               
    6020  Parkersburg-Marietta, WV-OH.............................    0.8046
      Washington, OH                                                        
      Wood, WV                                                              
    6080  Pensacola, FL...........................................    0.8193
      Escambia, FL                                                          
      Santa Rosa, FL                                                        
    6120  Peoria-Pekin, IL........................................    0.8571
      Peoria, IL                                                            
      Tazewell, IL                                                          
      Woodford, IL                                                          
    6160  Philadelphia, PA-NJ.....................................    1.1398
      Burlington, NJ                                                        
      Camden, NJ                                                            
      Gloucester, NJ                                                        
      Salem, NJ                                                             
      Bucks, PA                                                             
      Chester, PA                                                           
      Delaware, PA                                                          
      Montgomery, PA                                                        
      Philadelphia, PA                                                      
    6200  Phoenix-Mesa, AZ........................................    0.9606
      Maricopa, AZ                                                          
      Pinal, AZ                                                             
    6240  Pine Bluff, AR..........................................    0.7826
      Jefferson, AR                                                         
    6280  Pittsburgh, PA..........................................    0.9725
      Allegheny, PA                                                         
      Beaver, PA                                                            
      Butler, PA                                                            
      Fayette, PA                                                           
      Washington, PA                                                        
      Westmoreland, PA                                                      
     6323  Pittsfield, MA.........................................    1.0960
      Berkshire, MA                                                         
    6340  Pocatello, ID...........................................    0.9586
      Bannock ID                                                            
    6360  Ponce, PR...............................................    0.4589
      Guayanilla, PR                                                        
      Juana Diaz, PR                                                        
      Penuelas, PR                                                          
      Ponce, PR                                                             
      Villalba, PR                                                          
      Yauco, PR                                                             
    6403  Portland, ME............................................    0.9627
      Cumberland, ME                                                        
      Sagadahoc, ME                                                         
      York, ME                                                              
    6440  Portland-Vancouver, OR-WA...............................    1.1344
      Clackamas, OR                                                         
      Columbia, OR                                                          
      Multnomah, OR                                                         
      Washington, OR                                                        
      Yamhill, OR                                                           
      Clark, WA                                                             
    6483  Providence-Warwick-Pawtucket, RI........................    1.1049
      Bristol, RI                                                           
      Kent, RI                                                              
      Newport, RI                                                           
      Providence, RI                                                        
      Washington, RI                                                        
      Statewide, RI                                                         
    6520  Provo-Orem, UT..........................................    1.0073
      Utah, UT                                                              
    6560  Pueblo, CO..............................................    0.8450
      Pueblo, CO                                                            
    6580  Punta Gorda, FL.........................................    0.8725
      Charlotte, FL                                                         
    6600  Racine, WI..............................................    0.8934
      Racine, WI                                                            
    6640  Raleigh-Durham-Chapel Hill, NC..........................    0.9818
      Chatham, NC                                                           
      Durham, NC                                                            
      Franklin, NC                                                          
      Johnston, NC                                                          
      Orange, NC                                                            
      Wake, NC                                                              
    6660  Rapid City, SD..........................................    0.8345
      Pennington, SD                                                        
    6680  Reading, PA.............................................    0.9516
      Berks, PA                                                             
    6690  Redding, CA.............................................    1.1790
      Shasta, CA                                                            
    6720  Reno, NV................................................    1.0768
      Washoe, NV                                                            
    6740  Richland-Kennewick-Pasco, WA............................    0.9918
      Benton, WA                                                            
      Franklin, WA                                                          
    6760  Richmond-Petersburg, VA.................................    0.9152
      Charles City County, VA                                               
      Chesterfield, VA                                                      
      Colonial Heights City, VA                                             
      Dinwiddie, VA                                                         
      Goochland, VA                                                         
      Hanover, VA                                                           
      Henrico, VA                                                           
      Hopewell City, VA                                                     
      New Kent, VA                                                          
      Petersburg City, VA                                                   
      Powhatan, VA                                                          
      Prince George, VA                                                     
      Richmond City, VA                                                     
    6780  Riverside-San Bernardino, CA............................    1.1307
      Riverside, CA                                                         
      San Bernardino, CA                                                    
    6800  Roanoke, VA.............................................    0.8402
      Botetourt, VA                                                         
      Roanoke, VA                                                           
      Roanoke City, VA                                                      
      Salem City, VA                                                        
    6820  Rochester, MN...........................................    1.0502
      Olmsted, MN                                                           
    6840  Rochester, NY...........................................    0.9524
      Genesee, NY                                                           
      Livingston, NY                                                        
      Monroe, NY                                                            
      Ontario, NY                                                           
      Orleans, NY                                                           
      Wayne, NY                                                             
    6880  Rockford, IL............................................    0.9081
      Boone, IL                                                             
      Ogle, IL                                                              
      Winnebago, IL                                                         
    6895  Rocky Mount, NC.........................................    0.9029
      Edgecombe, NC                                                         
      Nash, NC                                                              
    6920  Sacramento, CA..........................................    1.2202
      El Dorado, CA                                                         
      Placer, CA                                                            
      Sacramento, CA                                                        
    6960  Saginaw-Bay City-Midland, MI............................    0.9564
      Bay, MI                                                               
      Midland, MI                                                           
      Saginaw, MI                                                           
    6980  St. Cloud, MN...........................................    0.9544
      Benton, MN                                                            
      Stearns, MN                                                           
    7000  St. Joseph, MO..........................................    0.8366
      Andrews, MO                                                           
      Buchanan, MO                                                          
    7040  St. Louis, MO-IL........................................    0.9130
      Clinton, IL                                                           
      Jersey, IL                                                            
      Madison, IL                                                           
      Monroe, IL                                                            
      St. Clair, IL                                                         
      Franklin, MO                                                          
      Jefferson, MO                                                         
      Lincoln, MO                                                           
      St. Charles, MO                                                       
      St. Louis, MO                                                         
      St. Louis City, MO                                                    
      Warren, MO                                                            
    7080  Salem, OR...............................................    0.9935
      Marion, OR                                                            
      Polk, OR                                                              
    7120  Salinas, CA.............................................    1.4513
      Monterey, CA                                                          
    7160  Salt Lake City-Ogden, UT................................    0.9857
      Davis, UT                                                             
      Salt Lake, UT                                                         
      Weber, UT                                                             
    7200  San Angelo, TX..........................................    0.7780
      Tom Green, TX                                                         
    7240  San Antonio, TX.........................................    0.8499
      Bexar, TX                                                             
      Comal, TX                                                             
      Guadalupe, TX                                                         
      Wilson, TX                                                            
    7320  San Diego, CA...........................................    1.2193
      San Diego, CA                                                         
    7360  San Francisco, CA.......................................    1.4180
      Marin, CA                                                             
      San Francisco, CA                                                     
      San Mateo, CA                                                         
    7400  San Jose, CA............................................    1.4332
      Santa Clara, CA                                                       
    7440  San Juan-Bayamon, PR....................................    0.4625
      Aguas Buenas, PR                                                      
      Barceloneta, PR                                                       
      Bayamon, PR                                                           
      Canovanas, PR                                                         
      Carolina, PR                                                          
      Catano, PR                                                            
      Ceiba, PR                                                             
      Comerio, PR                                                           
      Corozal, PR                                                           
      Dorado, PR                                                            
      Fajardo, PR                                                           
      Florida, PR                                                           
      Guaynabo, PR                                                          
      Humacao, PR                                                           
      Juncos, PR                                                            
      Los Piedras, PR                                                       
      Loiza, PR                                                             
      Luguillo, PR                                                          
      Manati, PR                                                            
      Morovis, PR                                                           
      Naguabo, PR                                                           
      Naranjito, PR                                                         
    
    [[Page 42932]]
    
                                                                            
      Rio Grande, PR                                                        
      San Juan, PR                                                          
      Toa Alta, PR                                                          
      Toa Baja, PR                                                          
      Trujillo Alto, PR                                                     
      Vega Alta, PR                                                         
      Vega Baja, PR                                                         
      Yabucoa, PR                                                           
    7460  San Luis Obispo-Atascadero-Paso Robles, CA..............    1.1374
      San Luis Obispo, CA                                                   
    7480  Santa Barbara-Santa Maria-Lompoc, CA....................    1.0688
      Santa Barbara, CA                                                     
    7485  Santa Cruz-Watsonville, CA..............................    1.4187
      Santa Cruz, CA                                                        
    7490  Santa Fe, NM............................................    1.0332
      Los Alamos, NM                                                        
      Santa Fe, NM                                                          
    7500  Santa Rosa, CA..........................................    1.2815
      Sonoma, CA                                                            
    7510  Sarasota-Bradenton, FL..................................    0.9757
      Manatee, FL                                                           
      Sarasota, FL                                                          
    7520  Savannah, GA............................................    0.8638
      Bryan, GA                                                             
      Chatham, GA                                                           
      Effingham, GA                                                         
    7560  Scranton--Wilkes-Barre--Hazleton, PA....................    0.8539
      Columbia, PA                                                          
      Lackawanna, PA                                                        
      Luzerne, PA                                                           
      Wyoming, PA                                                           
    7600  Seattle-Bellevue-Everett, WA............................    1.1339
      Island, WA                                                            
      King, WA                                                              
      Snohomish, WA                                                         
    7610  Sharon, PA..............................................    0.8783
      Mercer, PA                                                            
    7620  Sheboygan, WI...........................................    0.7862
      Sheboygan, WI                                                         
    7640  Sherman-Denison, TX.....................................    0.8499
      Grayson, TX                                                           
    7680  Shreveport-Bossier City, LA.............................    0.9381
      Bossier, LA                                                           
      Caddo, LA                                                             
      Webster, LA                                                           
    7720  Sioux City, IA-NE.......................................    0.8031
      Woodbury, IA                                                          
      Dakota, NE                                                            
    17760  Sioux Falls, SD........................................    0.8712
      Lincoln, SD                                                           
      Minnehaha, SD                                                         
    7800  South Bend, IN..........................................    0.9868
      St. Joseph, IN                                                        
    7840  Spokane, WA.............................................    1.0486
      Spokane, WA                                                           
    7880  Springfield, IL.........................................    0.8713
      Menard, IL                                                            
      Sangamon, IL                                                          
    7920  Springfield, MO.........................................    0.7989
      Christian, MO                                                         
      Greene, MO                                                            
      Webster, MO                                                           
    8003  Springfield, MA.........................................    1.0740
      Hampden, MA                                                           
      Hampshire, MA                                                         
    8050  State College, PA.......................................    0.9635
      Centre, PA                                                            
    8080  Steubenville-Weirton, OH-WV.............................    0.8645
      Jefferson, OH                                                         
      Brooke, WV                                                            
      Hancock, WV                                                           
    8120  Stockton-Lodi, CA.......................................    1.1496
      San Joaquin, CA                                                       
    8140  Sumter, SC..............................................    0.7842
      Sumter, SC                                                            
    8160  Syracuse, NY............................................    0.9464
      Cayuga, NY                                                            
      Madison, NY                                                           
      Onondaga, NY                                                          
      Oswego, NY                                                            
    8200  Tacoma, WA..............................................    1.1016
      Pierce, WA                                                            
    8240  Tallahassee, FL.........................................    0.8832
      Gadsden, FL                                                           
      Leon, FL                                                              
    8280  Tampa-St. Petersburg-Clearwater, FL.....................    0.9103
      Hernando, FL                                                          
      Hillsborough, FL                                                      
      Pasco, FL                                                             
      Pinellas, FL                                                          
    8320  Terre Haute, IN.........................................    0.8614
      Clay, IN                                                              
      Vermillion, IN                                                        
      Vigo, IN                                                              
    8360  Texarkana, AR-Texarkana, TX.............................    0.8664
      Miller, AR                                                            
      Bowie, TX                                                             
    8400  Toledo, OH..............................................    1.0390
      Fulton, OH                                                            
      Lucas, OH                                                             
      Wood, OH                                                              
    8440  Topeka, KS..............................................    0.9438
      Shawnee, KS                                                           
    8480  Trenton, NJ.............................................    1.0380
      Mercer, NJ                                                            
    8520  Tucson, AZ..............................................    0.9180
      Pima, AZ                                                              
    8560  Tulsa, OK...............................................    0.8074
      Creek, OK                                                             
      Osage, OK                                                             
      Rogers, OK                                                            
      Tulsa, OK                                                             
      Wagoner, OK                                                           
    8600  Tuscaloosa, AL..........................................    0.8187
      Tuscaloosa, AL                                                        
    8640  Tyler, TX...............................................    0.9567
      Smith, TX                                                             
    8680  Utica-Rome, NY..........................................    0.8398
      Herkimer, NY                                                          
      Oneida, NY                                                            
    8720  Vallejo-Fairfield-Napa, CA..............................    1.3754
      Napa, CA                                                              
      Solano, CA                                                            
    8735  Ventura, CA.............................................    1.0946
      Ventura, CA                                                           
    8750  Victoria, TX............................................    0.8474
      Victoria, TX                                                          
    8760  Vineland-Millville-Bridgeton, NJ........................    1.0110
      Cumberland, NJ                                                        
    8780  Visalia-Tulare-Porterville, CA..........................    0.9924
      Tulare, CA                                                            
    8800  Waco, TX................................................    0.7696
      McLennan, TX                                                          
    8840  Washington, DC-MD-VA-WV.................................    1.0911
      District of Columbia, DC                                              
      Calvert, MD                                                           
      Charles, MD                                                           
      Frederick, MD                                                         
      Montgomery, MD                                                        
      Prince Georges, MD                                                    
      Alexandria City, VA                                                   
      Arlington, VA                                                         
      Clarke, VA                                                            
      Culpepper, VA                                                         
      Fairfax, VA                                                           
      Fairfax City, VA                                                      
      Falls Church City, VA                                                 
      Fauquier, VA                                                          
      Fredericksburg City, VA                                               
      King George, VA                                                       
      Loudoun, VA                                                           
      Manassas City, VA                                                     
      Manassas Park City, VA                                                
      Prince William, VA                                                    
      Spotsylvania, VA                                                      
      Stafford, VA                                                          
      Warren, VA                                                            
      Berkeley, WV                                                          
      Jefferson, WV                                                         
    8920  Waterloo-Cedar Falls, IA................................    0.8640
      Black Hawk, IA                                                        
    8940  Wausau, WI..............................................    1.0545
      Marathon, WI                                                          
    8960  West Palm Beach-Boca Raton, FL..........................    1.0372
      Palm Beach, FL                                                        
    9000  Wheeling, OH-WV.........................................    0.7707
      Belmont, OH                                                           
      Marshall, WV                                                          
      Ohio, WV                                                              
    9040  Wichita, KS.............................................    0.9403
      Butler, KS                                                            
      Harvey, KS                                                            
      Sedgwick, KS                                                          
    9080  Wichita Falls, TX.......................................    0.7646
      Archer, TX                                                            
      Wichita, TX                                                           
    9140  Williamsport, PA........................................    0.8548
      Lycoming, PA                                                          
    9160  Wilmington-Newark, DE-MD................................    1.1538
      New Castle, DE                                                        
      Cecil, MD                                                             
    9200  Wilmington, NC..........................................    0.9322
      New Hanover, NC                                                       
      Brunswick, NC                                                         
    9260  Yakima, WA..............................................    1.0102
      Yakima, WA                                                            
    9270  Yolo, CA................................................    1.1431
      Yolo, CA                                                              
    9280  York, PA................................................    0.9415
      York, PA                                                              
    9320  Youngstown-Warren, OH...................................    0.9937
      Columbiana, OH                                                        
      Mahoning, OH                                                          
      Trumbull, OH                                                          
    9340  Yuba City, CA...........................................    1.0324
    
    [[Page 42933]]
    
                                                                            
      Sutter, CA                                                            
      Yuba, CA                                                              
    9360  Yuma, AZ................................................    0.9732
      Yuma, AZ                                                              
    ------------------------------------------------------------------------
    
    
                      Table 4b.--Wage Index for Rural Areas                 
    ------------------------------------------------------------------------
                                                                      Wage  
                            Nonurban area                            index  
    ------------------------------------------------------------------------
    Alabama......................................................     0.7260
    Alaska.......................................................     1.2302
    Arizona......................................................     0.7989
    Arkansas.....................................................     0.6995
    California...................................................     0.9977
    Colorado.....................................................     0.8129
    Connecticut..................................................     1.2617
    Delaware.....................................................     0.8925
    Florida......................................................     0.8838
    Georgia......................................................     0.7761
    Hawaii.......................................................     1.0229
    Idaho........................................................     0.8221
    Illinois.....................................................     0.7644
    Indiana......................................................     0.8161
    Iowa.........................................................     0.7391
    Kansas.......................................................     0.7203
    Kentucky.....................................................     0.7772
    Louisiana....................................................     0.7383
    Maine........................................................     0.8468
    Maryland.....................................................     0.8617
    Massachusetts................................................     1.0718
    Michigan.....................................................     0.8923
    Minnesota....................................................     0.8179
    Mississippi..................................................     0.6911
    Missouri.....................................................     0.7205
    Montana......................................................     0.8302
    Nebraska.....................................................     0.7401
    Nevada.......................................................     0.8914
    New Hampshire................................................     0.9717
    New Jersey \1\...............................................  .........
    New Mexico...................................................     0.8070
    New York.....................................................     0.8401
    North Carolina...............................................     0.7937
    North Dakota.................................................     0.7360
    Ohio.........................................................     0.8434
    Oklahoma.....................................................     0.7072
    Oregon.......................................................     0.9975
    Pennsylvania.................................................     0.8421
    Puerto Rico..................................................     0.3939
    Rhode Island \1\.............................................  .........
    South Carolina...............................................     0.7921
    South Dakota.................................................     0.6983
    Tennessee....................................................     0.7353
    Texas........................................................     0.7404
    Utah.........................................................     0.8926
    Vermont......................................................     0.9314
    Virginia.....................................................     0.7782
    Washington...................................................     1.0221
    West Virginia................................................     0.7938
    Wisconsin....................................................     0.8471
    Wyoming......................................................     0.8247
    Guam.........................................................     0.6516
    Virgin Islands...............................................     0.4588
    ------------------------------------------------------------------------
    \1\ All counties within the State are classified urban.                 
    
    
              Table 5.--Cost Reporting Year--Adjustment Factor \1\          
    ------------------------------------------------------------------------
                                                                      The   
               If the HHA cost reporting period begins            adjustment
                                                                   factor is
    ------------------------------------------------------------------------
    November 1, 1998............................................     1.00239
    December 1, 1998............................................     1.00478
    January 1, 1999.............................................     1.00720
    February 1, 1999............................................     1.00964
    March 1, 1999...............................................     1.01210
    April 1, 1999...............................................     1.01456
    May 1, 1999.................................................     1.01702
    June 1, 1999................................................     1.01948
    July 1, 1999................................................     1.02197
    August 1, 1999..............................................     1.02448
    September 1, 1999...........................................    1.02701 
    ------------------------------------------------------------------------
    \1\ Based on compounded projected market basket inflation rates.        
    Source: The Home Health Agency Input Price Index, produced by HCFA for  
      the period between 1983:1 and 2008:4. The forecasts are from Standard 
      and Poor's DRI 3rd QTR 1997: @USSIM/[email protected]/Control973   
      forecast exercise which has historical data through 1997:2.           
    
    
     Table 6.--Monthly Index Levels for Calculating Inflation Factors To Be 
                          Applied to Home Health Agency                     
    ------------------------------------------------------------------------
                                                                     Index  
                  Per-beneficiary limitations month                  level  
    ------------------------------------------------------------------------
    October 1992.................................................     .98566
    November 1992................................................     .98800
    December 1992................................................     .99099
    January 1993.................................................     .99399
    February 1993................................................     .99700
    March 1993...................................................     .99933
    April 1993...................................................    1.00166
    May 1993.....................................................    1.00400
    June 1993....................................................    1.00666
    July 1993....................................................    1.00933
    August 1993..................................................    1.01200
    September 1993...............................................    1.01400
    October 1993.................................................    1.01600
    November 1993................................................    1.01800
    December 1993................................................    1.02099
    January 1994.................................................    1.02399
    February 1994................................................    1.02700
    March 1994...................................................    1.02866
    April 1994...................................................    1.03033
    May 1994.....................................................    1.03200
    June 1994....................................................    1.03499
    July 1994....................................................    1.03499
    August 1994..................................................    1.03499
    September 1994...............................................    1.03499
    October 1994.................................................    1.03499
    November 1994................................................    1.03499
    December 1994................................................    1.03499
    January 1995.................................................    1.03499
    February 1995................................................    1.03499
    March 1995...................................................    1.03499
    April 1995...................................................    1.03499
    May 1995.....................................................    1.03499
    June 1995....................................................    1.03499
    July 1995....................................................    1.03499
    August 1995..................................................    1.03499
    September 1995...............................................    1.03499
    October 1995.................................................    1.03499
    November 1995................................................    1.03499
    December 1995................................................    1.03499
    January 1996.................................................    1.03499
    February 1996................................................    1.03499
    March 1996...................................................    1.03499
    April 1996...................................................    1.03499
    May 1996.....................................................    1.03499
    June 1996....................................................    1.03499
    July 1996....................................................    1.03720
    August 1996..................................................    1.03941
    September 1996...............................................    1.04162
    October 1996.................................................    1.04383
    November 1996................................................    1.04604
    December 1996................................................    1.04856
    January 1997.................................................    1.05108
    February 1997................................................    1.05361
    March 1997...................................................    1.05582
    April 1997...................................................    1.05803
    May 1997.....................................................    1.06024
    June 1997....................................................    1.06370
    July 1997....................................................    1.06717
    August 1997..................................................    1.07065
    September 1997...............................................    1.07317
    October 1997.................................................    1.07569
    November 1997................................................    1.07822
    December 1997................................................    1.08074
    January 1998.................................................    1.08327
    February 1998................................................    1.08580
    March 1998...................................................    1.08769
    April 1998...................................................    1.08958
    May 1998.....................................................    1.09148
    June 1998....................................................    1.09494
    July 1998....................................................    1.09841
    August 1998..................................................    1.10189
    September 1998...............................................    1.10441
    October 1998.................................................    1.10693
    November 1998................................................    1.10946
    December 1998................................................    1.11230
    January 1999.................................................    1.11514
    February 1999................................................    1.11798
    March 1999...................................................    1.12019
    April 1999...................................................    1.12240
    May 1999.....................................................    1.12461
    June 1999....................................................    1.12776
    July 1999....................................................    1.13091
    August 1999..................................................    1.13408
    September 1999...............................................    1.13660
    October 1999.................................................    1.13912
    November 1999................................................    1.14165
    December 1999................................................    1.14480
    January 2000.................................................    1.14795
    February 2000................................................    1.15112
    March 2000...................................................    1.15332
    April 2000...................................................    1.15553
    May 2000.....................................................    1.15774
    June 2000....................................................    1.16120
    July 2000....................................................    1.16467
    August 2000..................................................    1.16816
    September 2000...............................................    1.17099
    October 2000.................................................    1.17383
    ------------------------------------------------------------------------
    
    X. Regulatory Impact Statement
    
    A. Introduction
    
        HCFA has examined the impacts of this notice with comment as 
    required by Executive Order 12866, the Regulatory Flexibility Act (RFA) 
    (Pub. L. 96-354), and the Unfunded Mandates Reform Act
    
    [[Page 42934]]
    
    of 1995 (Pub. L. 104-4). Executive Order 12866 directs agencies to 
    assess all costs and benefits of available regulatory alternatives and, 
    when regulation is necessary, to select regulatory approaches that 
    maximize net benefits (including potential economic, environmental, 
    public health and safety effects; distributive impacts; and equity). 
    The RFA requires agencies to analyze options for regulatory relief for 
    small businesses. For purposes of the RFA, States and individuals are 
    not considered small entities. However, most providers, physicians, and 
    health care suppliers are small entities, either by nonprofit status or 
    by having revenues of $5 million or less annually. Approximately 25 
    percent of HHAs are identified as Visiting Nurse Associations, combined 
    in government and voluntary, and official health agency, and therefore, 
    are considered small entities. We anticipate this notice, in total, 
    will have a significant impact on a substantial number of small 
    entities based on the estimates shown below. We have examined the 
    options for lessening the burden on small entities, however, the 
    statute does not allow for any exceptions to these limitations based on 
    size of entity. Therefore, there are no options to lessen the 
    regulatory burden that are consistent with the statute.
        Section 202 of the Unfunded Mandates Reform Act requires agencies 
    to prepare an assessment of anticipated costs and benefits before 
    proposing any rule that may result in an annual expenditure by State, 
    local, or tribal governments, in the aggregate, or by private sector, 
    of $100 million (adjusted annually for inflation). We believe that 
    there are no costs associated with this notice with comment that apply 
    to these governmental and private sectors. Therefore, the law does not 
    apply.
    1. Effect of This Notice
        This notice is a part of the HHA IPS. As a result of rebasing the 
    per-visit limitations, we estimate that there will be a cost to the 
    Medicare program of approximately $70 million in Federal FY 1999. We 
    estimate that the effect of the offset adjustment for the 
    implementation of OASIS data collection, as discussed in section III.G. 
    will result in negligible costs to the Medicare program. We note that 
    this estimate differs from that published in the Paperwork Reduction 
    Act section of the March 10, 1997 proposed rule on OASIS collection 
    requirements (62 FR 11035). This is due to several factors. Unlike the 
    OASIS proposed rule which calculated impacts based on total HHA costs 
    on an agency basis, the offset adjustment factor in this notice is 
    necessarily calculated on a per-visit, Medicare basis. Moreover, we 
    have based these estimates on actual data collected from the home 
    health PPS demonstration rather than using the general estimates of the 
    proposed OASIS rule. We believe using actual data which was not 
    available at the time the OASIS proposed rule was written produces a 
    more accurate estimate of cost impact.
        We should also note, however, that the adjustment only incorporates 
    the incremental costs of data collection and not any incremental costs, 
    if any, which may be incurred for OASIS reporting because no reliable 
    cost data were available at this time. We are specifically requesting 
    comments on these costs. Also, we cannot determine the number of 
    providers affected by our revised new provider policy and therefore 
    cannot determine what the financial impact, if any, will be.
        2. Effect on March 31, 1998 Final Rule With Comment Period
        As stated in the March 31, 1998 final rule with comment period (63 
    FR 15718) for Federal FY 1999, we estimate that the imposition of the 
    per-beneficiary limitations will result in savings of $2.14 billion. 
    However, the changes imposed through this notice to the per-visit 
    limitations will result in savings of $670 million instead of $740 
    million as stated in the March 31, 1998 final rule with comment period 
    (63 FR 15718). This is the result of rebasing the per-visit 
    limitations. The total savings from both limitations for Federal FY 
    1999 will be $2.81 billion rather than $2.88 billion as stated in the 
    March 31, 1998 rule.
        This notice with comment is not a major rule as defined in Title 5, 
    United States Code, section 804(2) and is not an economically 
    significant rule under Executive Order 12866. However, we are preparing 
    a regulatory impact statement because this notice with comment is an 
    integral part of the HHA IPS.
        It is clear that the changes being made in this document will 
    affect both a substantial number of small HHAs as well as other classes 
    of HHAs, and the effects on some may be significant. Therefore, the 
    discussion below, in combination with the rest of this notice with 
    comment, constitutes a combined regulatory impact analysis and 
    regulatory flexibility analysis.
    
    B. Explanation of Per-Visit Limitations
    
        Section 1861(v)(1)(L)(i) of the Act specifies that the per-visit 
    limitations not exceed 105 percent of the median of the labor-related 
    and nonlabor per-visit costs for freestanding HHAs. The reasonable 
    costs used in the per-visit calculations will be updated by the home 
    health market basket excluding any change in the home health market 
    basket with respect to cost reporting periods that began on or after 
    July 1, 1994 and before July 1, 1996.
        The methodology used to develop the schedule of per-visit 
    limitations in this notice with comment is the same as that used in 
    setting the limitations effective October 1, 1997. We are using the 
    latest settled cost report data (as described in Section III. Update of 
    Per-Visit Limitations) from freestanding HHAs to develop the per-visit 
    limitations.
    
    C. Explanation of Per-Beneficiary Limitations
    
        Section 1861(v)(1)(L) requires the per-beneficiary limitation be a 
    blend of: (1) an agency-specific per-beneficiary limitation based on 75 
    percent of 98 percent of the reasonable costs (including nonroutine 
    medical supplies) for the agency's 12-month cost reporting period 
    ending during FFY 1994, and (2) a census region division per-
    beneficiary limitation based on 25 percent of 98 percent of the 
    regional average of such costs for the agency's census division for 
    cost reporting periods ending during FFY 1994, standardized by the 
    hospital wage index. The reasonable costs used in the per-beneficiary 
    limitation calculations in one and two above will be updated by the 
    home health market basket excluding any changes in the home health 
    market basket with respect to cost reporting periods that began on or 
    after July 1, 1994 and before July 1, 1996. This per-beneficiary 
    limitation based on the blend of the agency-specific and census region 
    division per-beneficiary limitations will then by multiplied by the 
    agency's unduplicated census count of beneficiaries (entitled to 
    benefits under Medicare) to calculate the HHA's per-beneficiary 
    limitation for the cost reporting period subject to the limitation.
        For new providers and providers without a 12-month cost reporting 
    period ending in FFY 1994, the per-beneficiary limitation will be a 
    national per-beneficiary limitation which will be equal to the median 
    of these limitations applied to other HHAs as determined under section 
    1861(v)(1)(L)(v) of the Act.
        The methodologies and data used to develop the schedule of per-
    beneficiary limitations set forth in this notice are the same as that 
    used in setting the per-beneficiary limitations that were effective for 
    cost reporting periods beginning on or after October 1, 1997. We have 
    updated the per-beneficiary
    
    [[Page 42935]]
    
    limitations to reflect the expected cost increases occurring between 
    the cost reporting periods ended during FFY 1994 and September 30, 
    1999, excluding any changes in the home health market basket with 
    respect to cost reporting periods which began on or after July 1, 1994 
    and before July 1, 1996. Therefore, we excluded this time period when 
    we adjusted the database for the market basket increases.
        Payments by Medicare under this system of payment limitations must 
    be the lower of an HHA's actual reasonable allowable costs, per-visit 
    limitations in the aggregate, or a per-beneficiary limitation in the 
    aggregate.
    
    D. Effect on Home Health Agencies
    
        This notice with comment period sets forth revised schedules of 
    limitations on home health agency costs that may be paid under the 
    Medicare program for cost reporting periods beginning on or after 
    October 1, 1998. These limitations replace the limitations that were 
    set forth in our January 2, 1998 notice with comment period, per-visit 
    limitations, (63 FR 89) and our March 31, 1998 final rule with comment 
    period, per-beneficiary limitations, (63 FR 15718).
        The following quantitative analysis presents the projected effects 
    of the statutory changes effective for FFY 1999. This notice with 
    comment period is necessary to implement the provisions of section 
    1861(v)(1)(L) of the Act, as amended by B.B.A. `97.
        The settled cost report data that we are using have been adjusted 
    by the most recent market basket factors, excluding market basket 
    increases for cost reporting periods beginning on or after July 1, 1994 
    and before July 1, 1996, to reflect the expected cost increases 
    occurring between the cost reporting periods for the data contained in 
    the database and September 30, 1999.
        We are unable to identify the effects of the changes to the cost 
    limits on individual HHAs. However, Table 7 below illustrates the 
    proportion of HHAs that are likely to be affected by the limits. This 
    table is a model of our estimate of the revision in the schedule of the 
    per-visit and per-beneficiary limitations. The total number of HHAs in 
    this table, 6,414, is based on HHA cost reports with a FFY ending in 
    1994 and for new providers whose cost reports end on either December 
    31, 1994 or December 31, 1995. For both old and new providers, the 
    length of the cost report is 12 months.
        This table takes into account the behaviors that we believe HHAs 
    will engage in order to reduce the adverse effects of section 4602 of 
    B.B.A. `97 on their allowable costs. We believe these behavioral 
    offsets might include an increase in the number of low cost 
    beneficiaries served, a general decrease in the number of visits 
    provided, and earlier discharge of patients who are not eligible for 
    Medicare home health benefits because they no longer need skilled 
    services but have only chronic, custodial care needs. We believe that, 
    on average, these behavioral offsets will result in a 65 percent 
    reduction in the effects these limits might otherwise have on an 
    individual HHA for the per-beneficiary limitations and a 50 percent 
    reduction for the per-visit limitations.
        Column one of this table divides HHAs by a number of 
    characteristics including their ownership, whether they are old or new 
    agencies, whether they are located in an urban or rural area, and the 
    census region they are located in. Column two shows the number of 
    agencies that fall within each characteristic or group of 
    characteristics, for example, there are 1,197 rural freestanding HHAs 
    in our database. Column three shows the percent of HHAs within a group 
    that are projected to exceed the per-visit limitation and therefore, 
    not be affected by the per-beneficiary limitation, before the 
    behavioral offsets are taken into account. Column four shows the 
    average percent of costs over the per-visit limitation for an agency in 
    that cell, including behavioral offsets. Column five shows the percent 
    of HHAs within a group that are projected to exceed the per-beneficiary 
    limitation and therefore, not be affected by the per-visit limitation, 
    before the behavioral offsets are taken into account. Column six shows 
    the average percent of costs over the per-beneficiary limitation for an 
    agency in that category, including behavioral offsets. It is important 
    to note that in determining the expected percentage of an agency's 
    costs exceeding the cost limitations, column four (percent of costs 
    exceeding visit limits) and column six (percent of costs exceeding 
    beneficiary limits) are not to be added together. Either the per-visit 
    limitation or the per-beneficiary limitation is exceeded, but not both.
    
                                     Impact of the IPS HHA Limits, Effective 10/1/98                                
    ----------------------------------------------------------------------------------------------------------------
                                                                   Percent of   Percent of   Percent of   Percent of
                                                                    agencies      costs       agencies      costs   
                                                      Number of    exceeding    exceeding    exceeding    exceeding 
                                                       agencies      visit        visit     beneficiary  beneficiary
                                                                     limits       limits       limits       limits  
    ----------------------------------------------------------------------------------------------------------------
    BY: GEOGRAPHIC AREA:                                                                                            
        ALL AGENCIES...............................         6414         29.8          4.1         60.2          9.8
            FREESTANDING...........................         4308         23.9          3.9         67.5         11.2
            HOSPITAL BASED.........................         2106         42.1          4.5         45.4          6.5
            OLD AGENCIES...........................         5256         25.7          2.2         62.7          9.4
                FREESTANDING.......................         3245         15.8          1.0         73.4         11.0
                HOSPITAL BASED.....................         2011         41.7          4.5         45.4          6.4
            NEW AGENCIES...........................         1158         48.6         19.5         49.3         12.6
                FREESTANDING.......................         1063         48.5         20.4         49.6         12.8
                HOSPITAL BASED.....................           95         49.5          5.3         46.3          9.2
        ALL URBAN..................................         4137         29.1          4.1         63.7         10.0
            FREESTANDING...........................         3111         23.6          3.8         69.3         11.3
            HOSPITAL BASED.........................         1026         46.0          5.0         46.5          6.6
            OLD AGENCIES...........................         3272         24.4          2.2         67.1          9.7
                FREESTANDING.......................         2292         15.2          1.0         75.9         11.1
                HOSPITAL BASED.....................          980         45.8          4.9         46.4          6.6
            NEW AGENCIES...........................          865         47.2         19.0         50.9             
        12.3.......................................                                                                 
                FREESTANDING.......................          819         47.0         19.7         51.0         12.5
                HOSPITAL BASED.....................           46         50.0          6.1         47.8          8.8
        ALL RURAL..................................         2277         31.1          3.9         54.0          9.1
    
    [[Page 42936]]
    
                                                                                                                    
            FREESTANDING...........................         1197         24.6          4.3         62.7         11.0
            HOSPITAL BASED.........................         1080         38.3          3.3         44.4          6.1
            OLD AGENCIES...........................         1984         27.9          1.9         55.4          8.5
                FREESTANDING.......................          953         17.2          0.9         67.4         10.5
                HOSPITAL BASED.....................         1031         37.8          3.3         44.3          6.0
            NEW AGENCIES...........................          293         52.9         21.1         44.7         13.8
                FREESTANDING.......................          244         53.7         22.7         44.7         14.1
                HOSPITAL BASED.....................           49         49.0          3.6         44.9         10.1
    BY: REGION:                                                                                                     
        OLD AGENCIES...............................         5256         25.7          2.2         62.7          9.4
            NEW ENGLAND............................          291          5.5          0.3         83.8         12.8
            MIDDLE ATLANTIC........................          443         19.4          1.8         72.2          9.0
            SOUTH ATLANTIC.........................          739         24.1          1.7         65.4          9.9
            EAST NORTH CENTRAL.....................          866         21.6          1.6         68.6         10.3
            EAST SOUTH CENTRAL.....................          431         23.0          1.6         58.9          9.2
            WEST NORTH CENTRAL.....................          728         26.6          2.4         58.2          9.7
            WEST SOUTH CENTRAL.....................          936         30.1          3.1         56.3          8.6
            MOUNTAIN...............................          354         37.0          3.4         50.0          7.4
            PACIFIC................................          428         39.3          4.9         56.8          7.3
        NEW AGENCIES...............................         1158         48.6         19.5         49.3         12.6
            NEW ENGLAND............................           44          4.5          0.0         93.2         17.0
            MIDDLE ATLANTIC........................           51         49.0         21.9         47.1          5.1
            SOUTH ATLANTIC.........................           44         56.8         25.5         43.2          7.3
            EAST NORTH CENTRAL.....................          151         74.2         36.1         25.2          4.4
            EAST SOUTH CENTRAL.....................           25         44.0         18.7         56.0         14.7
            WEST NORTH CENTRAL.....................          117         65.8         17.9         29.1          9.9
            WEST SOUTH CENTRAL.....................          484         39.3         16.4         59.9         16.5
            MOUNTAIN...............................          103         45.6         22.0         49.5          8.8
            PACIFIC................................          138         52.9         19.8         43.5         10.1
    ----------------------------------------------------------------------------------------------------------------
    
    E.1. Percent of Costs Exceeding Per Visit Limitations (Column Four)
    
        Results from this column indicate that, for an HHA that reaches the 
    per-visit limitation first, the average percent of costs exceeding the 
    per-visit limitation for an HHA in the ``all agencies'' category is 4.1 
    percent after the behavioral offset. This should not be surprising 
    since the intent of section 4602 of the BBA is to control the soaring 
    expenditures of the Medicare home health benefit which have been driven 
    largely by increased utilization. All discussion of the analysis of the 
    per-visit limitation is based on the fact that HHAs in these categories 
    reached the per-visit limitation and therefore are not affected by the 
    per-beneficiary limitation.
        For the old agencies category, (HHAs that filed a 12-month cost 
    report that ended during FFY 1994), the average percent of costs 
    exceeding the per-visit limitation is 2.2 percent. For the new agencies 
    category, (such as HHAs that did not have a 12-month cost reporting 
    period ended in FFY 1994 or that entered the Medicare program after FFY 
    1994), the average percent of costs exceeding the per-visit limitation 
    is 19.5 percent. Old agencies will not be affected as much by the per-
    visit limitation the new agencies, on average, because the new agencies 
    have, in general, reported higher per-visit costs.
        For the urban areas HHA category, the average percent of costs 
    exceeding the per-visit limitation is 4.1 percent, while the rural 
    areas HHA category is 3.9 percent. For the old agency census division 
    categories the average percent of costs exceeding the per-visit 
    limitation ranges from a low of 0.3 percent in the New England census 
    region to a high of 4.9 percent in the Pacific census region. The other 
    census regions fall between 1.6 percent and 3.4 percent.
        For the new agency census region categories the average percent of 
    costs exceeding the per-visit limitation ranges from a low of 0.0 
    percent in the New England census region to a high of 36.1 percent in 
    the East North Central census region. The other census regions fall 
    between 16.4 percent and 25.5 percent.
    
    E.2. Percent of Costs Exceeding Per-Beneficiary Limitation (Column Six)
    
        Results from this column indicate that, for an HHA that reaches the 
    per-beneficiary limitation first, the average percent of costs 
    exceeding the per-beneficiary limitation for an HHA in the ``all 
    agencies'' category is 9.8 percent after the behavioral offset. All 
    discussion of the analysis of the per-beneficiary limitation is based 
    on the fact that HHAs in these categories reached the per-beneficiary 
    limitation and therefore are not affected by the per-visit limitation.
        For the old agencies category, (HHAs that filed a 12-month cost 
    report that ended during FFY 1994), the average percent of costs 
    exceeding the per-beneficiary limitation is 9.4 percent. For the new 
    agencies category, (including HHAs that did not have a 12-month cost 
    reporting period ended in Federal FY 1994 or that entered the Medicare 
    program after Federal FY 1994), the average percent of costs exceeding 
    the per-visit limitation is 12.6 percent. Old agencies will not be 
    affected as much by the per-beneficiary limitations as the new 
    agencies, on average, because the new agenices have, in general, 
    reported higher costs related to higher levels of utilization. 
    Moreover, the statutory provision for old providers which bases 75 
    percent of the limitation on their own cost experience would implicitly 
    result in less of an impact than experienced by the new providers whose 
    limitations are based on a national median. Also, we believe the
    
    [[Page 42937]]
    
    differing impacts of these limits is an inherent result of beginning to 
    draw unexplained variation among providers closer to national norms 
    which existed prior to the rapid increase in home health expenditures 
    of the post '93-'94 period.
        For the urban areas HHA category, the average percent of costs 
    exceeding the per-visit limitation is 10.0 percent, while the rural 
    areas HHA category is 9.1 percent. For the old agency census division 
    categories the average percent of costs exceeding the per-beneficiary 
    limitation ranges from a low of 7.3 percent in the Pacific census 
    region to a high of 12.8 percent in the New England census region. The 
    other census regions fall between 7.4 percent and 10.3 percent. The 
    differences between census regions reflect the pattern of highly 
    disparate costs that have been reported historically between geographic 
    areas which cannot be explained by differences in patient 
    characteristics but appear more related to patterns of HHA practices.
        For the new agency census region categories the average percent of 
    costs exceeding the per-beneficiary limitation ranges from a low of 4.4 
    percent in the East North Central census region to a high of 17.0 
    percent in the New England census region. The other census regions fall 
    between 5.1 percent and 16.5 percent. In general, newer agencies in 
    census regions that have exceptionally high cost histories are more 
    impacted due to their being limited to the national median.
        Although there is considerable variation in these limitations, we 
    believe this is a reflection of the wide variation in payments that 
    have been recognized under the present cost reimbursement system. 
    Moreover, we believe the differing impacts of these limitations is an 
    inherent result of beginning to draw unexplained variation among 
    providers closer to which existed prior to the rapid increase in home 
    health expenditures of the post '93-'94 period.
        Because this rule limits payments to HHAs to the lesser of actual 
    cost, the per-visit limitations, or the per-beneficiary limitation, we 
    have estimated the combined impact of these limitations.
        We estimate that in FFY 1999 and 2000, 30 percent of the HHAs will 
    be limited by the per-visit limitation while 60 percent will be limited 
    to the per-beneficiary limitation. It is important to note again that 
    an HHA is affected either by the per-visit limitation or the per-
    beneficiary. They will not be affected by both.
        Medicare payments to managed care plans are based on fee-for-
    service Medicare benefits. Although we do not know what home health 
    services are supplied for these payments, we know how much we pay the 
    plans as a result of fee-for-service home health payments. Thus, 
    managed care payments are figured in as part of our cost/savings 
    estimates. Managed care plans are not expected to reduce home health 
    services as a result of this notice. For Federal FY 1999, we estimate 
    that 20 percent of the Medicare cost will be for payments to managed 
    care plans, our estimate for Federal FY 2000 is 26 percent.
        We believe that the effect of this notice on State Medicaid 
    programs overall will be small. However, because of the flexibility and 
    variation in State Medicaid policies and service delivery systems as 
    well as differences in provider behavior in reaction to these limits, 
    it is impossible to predict which States will be affected or the 
    magnitude of the impact.
        Under the Paperwork Reduction Act of 1995, agencies are required to 
    provide a 60-day notice in the Federal Register and solicit public 
    comments before a collection of information requirement is submitted to 
    the Office of Management and Budget for review and approval. This 
    document does not impose information collection and recordkeeping 
    requirements. Consequently, it need not be reviewed by the Office of 
    Management and Budget under the authority of the Paperwork Reduction 
    Act of 1995.
    
    XI. Other Required Information
    
    A. Waiver of Proposed Notice
    
        In adopting notices such as this, we ordinarily publish a proposed 
    notice in the Federal Register to provide a period for public comment 
    before the provisions of the notice take effect. However, we may waive 
    this procedure if for good cause we find that prior notice and comment 
    are impracticable, unnecessary or contrary to public interest. 5 U.S.C 
    553(b)(B).
        Section 1861(v)(1)(L) of the Act requires that the Secretary 
    establish revised HHA cost limits for cost reporting periods beginning 
    on or after July 1, 1991 and annually thereafter (except for cost 
    reporting periods beginning on or after July 1, 1994 and before July 1, 
    1996). In accordance with the statute, we have used the same 
    methodology to develop the schedules of limits that were used in 
    setting the limits effective for cost reporting periods beginning on or 
    after October 1, 1997. These cost limits have been updated by the 
    appropriate market basket adjustment factor to reflect the cost 
    increases occurring between the cost reporting periods for the data 
    contained in the database and September 30, 1999, excluding any changes 
    in the home health market basket with respect to cost reporting periods 
    which began on or after July 1, 1994 and before July 1, 1996. In 
    addition, as required under section 1861(v)(1)(L) of the Act, we have 
    used the most recently published hospital wage index.
        Therefore, for good cause we find that it was unnecessary to 
    undertake notice and comment procedures. Generally, the methodology 
    used to develop these schedules of limits is dictated by statute and 
    does not require the exercise of discretion. These methodologies have 
    also been previously published for public comment. It was also 
    necessary to inform HHAs of their new cost limitations in a timely 
    manner such that HHAs could benefit from the most recently published 
    wage index and updated market basket adjustment factor.
        We also find that it was impracticable to provide notice and 
    comment procedures before publishing this notice. The per-beneficiary 
    limitations were published on March 31, 1998 with a 60-day comment 
    period. To fully respond to the comments and establish the limitation 
    by August 1, 1998, it was impracticable to publish a proposed notice. 
    Accordingly, for good cause, we waive prior notice and comment 
    procedures. However, we are providing a 60-day comment period for 
    public comment, as indicated at the beginning of this notice.
    
    B. Public Comments
    
        Because of the large number of items of correspondence we normally 
    receive on a notice with comment period, we are not able to acknowledge 
    or respond to them individually. However, we will consider all comments 
    concerning the provisions of this notice that we receive by the date 
    and time specified in the Dates section of this notice, and we will 
    respond to those comments in a subsequent document.
    
        Authority: Section 1861(v)(1)(L) of the Social Security Act (42 
    U.S.C. 1395x(v)(1)(L)); section 4207(d) of Pub. L. 101-508 (42 
    U.S.C. 1395x (note)).
    
    (Catalog of Federal Domestic Assistance Program No. 93.773 
    Medicare--Hospital Insurance)
    
    
    [[Page 42938]]
    
    
        Dated: July 28, 1998.
    Nancy-Ann Min DeParle,
    Administrator, Health Care Financing Administration.
    
        Dated: July 30, 1998.
    Donna E. Shalala,
    Secretary.
    [FR Doc. 98-20878 Filed 7-31-98; 3:03 pm]
    BILLING CODE 4120-01-P
    
    
    

Document Information

Published:
08/11/1998
Department:
Health Care Finance Administration
Entry Type:
Notice
Action:
Notice with comment period.
Document Number:
98-20878
Pages:
42912-42938 (27 pages)
Docket Numbers:
HCFA-1035-NC
PDF File:
98-20878.pdf