2010-33128. Proposed Data Collections Submitted for Public Comment and Recommendations  

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    In compliance with the requirement of Section 3506(c)(2)(A) of the Paperwork Reduction Act of 1995 for opportunity for public comment on proposed data collection projects, the Centers for Disease Control and Prevention (CDC) will publish periodic summaries of proposed projects. To request more information on the proposed projects or to obtain a copy of the data collection plans and instruments, call 404-639-5960 and send comments to Carol E. Walker, Acting CDC Reports Clearance Officer, 1600 Clifton Road, MS-D74, Atlanta, GA 30333 or send an e-mail to omb@cdc.gov.

    Comments are invited on: (a) Whether the proposed collection of information is necessary for the proper performance of the functions of the agency, including whether the information shall have practical utility; (b) the accuracy of the agency's estimate of the burden of the proposed collection of information; (c) ways to enhance the quality, utility, and clarity of the information to be collected; and (d) ways to minimize the burden of the collection of information on respondents, including through the use of automated collection techniques or other forms of information technology. Written comments should be received within 60 days of this notice.

    Proposed Project

    Healthcare System Surge Capacity at the Community Level—New—National Center for Emerging and Zoonotic Infectious Diseases, (NCEZID), Centers for Disease Control and Prevention, (CDC).

    Background and Brief Description

    The Healthcare Preparedness Activity, Division of Healthcare Quality Promotion (DHQP) at the Centers for Disease Control and Prevention (CDC) works with other Federal agencies, State governments, medical societies and other public and private organizations to promote collaboration amongst healthcare partners, and to integrate healthcare preparedness into Federal, State and local public health preparedness planning. The goal of the Activity is to help local communities' healthcare delivery and public health sectors effectively and efficiently prepare for and respond to urgent and emergent threats.

    Surge is defined as a marked increase in demand for resources such as personnel, space and material. Health care providers manage both routine surge (predictable fluctuations in demand associated with the weekly calendar, for example) as well as unusual surge (larger fluctuations in demand caused by rarer events such as pandemic influenza). Except in extraordinary cases, providers are expected to manage surge while adhering to their existing standards for quality and patient safety. Currently, health care organizations are expected to prepare for and respond to surges in demand ranging from a severe catastrophe (for example, a nuclear detonation) to more common, less severe events (for example, a worse-than-usual influenza season). The Centers for Disease Control and Prevention (CDC) and Federal agencies have dedicated considerable funding and technical assistance towards developing and coordinating community-level responses to surges in demand, but it remains a difficult task.

    While there is extensive research on managing collaborations during times of extraordinary pressure where response to surge takes precedence over other activities, less is known about developing and maintaining integrated collaborations during periods where the system must respond to unusual surge but also continue the routine provision of health care. In particular, studies have not explored how these collaborations can build on sustainable relationships between a broad range of stakeholders (including primary care providers) in communities with different market structures and different degrees of investment in public health.

    This study aims to generate information about the role of community-based collaborations in disaster preparedness that the CDC can use to develop its programs guiding and supporting these collaborations. This project will explore barriers and facilitators to coordination on surge response in ten communities, eight of which have been studied longitudinally since the mid-1990s as part of the Center for Studying Health System Change's (HSC's) Community Tracking Study (CTS). Interviews of local healthcare stakeholders will be conducted at 10 sites.

    Interviews will be conducted at a total of 63 organizations over the two years of this project. Within each of the ten communities studied, two emergency practitioner respondents (one from a safety-net hospital and one from a non-safety-net hospital), two primary care providers (one from a large practice and one from a small practice) and two local preparedness experts (one from the County or local public health agency, and one coordinator or collaboration leader) will be interviewed. In three sites (Phoenix, Greenville and Seattle) an additional respondent will be identified from an outlying rural area to offer the perspective of providers in those communities. There is no cost to respondents except their time.

    Estimated Annualized Burden Hours

    Respondent categoryNumber of respondentsNumber of responses per respondentAverage burden response (in hours)Total burden (in hours)
    Emergency Department: Private, non-safety net101110
    Emergency Department: Public/safety net101110
    Primary Care: Larger practice101110
    Primary Care: Solo/2 physician practice101110
    Preparedness: Public/Department of Health101110
    Preparedness: Health care preparedness coordinator/collaboration leader101110
    Rural (Greenville, Phoenix, Seattle only: Clinician-leader at rural site (ED or PC)3113
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    Total63
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    Dated: December 27, 2010.

    Carol E. Walker,

    Acting Reports Clearance Officer, Centers for Disease Control and Prevention.

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    [FR Doc. 2010-33128 Filed 12-30-10; 8:45 am]

    BILLING CODE P

Document Information

Published:
01/03/2011
Department:
Centers for Disease Control and Prevention
Entry Type:
Notice
Document Number:
2010-33128
Pages:
147-148 (2 pages)
Docket Numbers:
60Day-11-11BM
PDF File:
2010-33128.pdf