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Morbidity Data

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Public Health Informatics and Information Systems

Part of the book series: Health Informatics ((HI))

Overview

In the United States, the collection of accurate, representative morbidity data is important to public policy and public health practice. Three major surveys administered by the National Center for Health Statistics (NCHS) of the Centers for Disease Control and Prevention (CDC) illustrate some of the procedures in use and the challenges associated with this task. The National Health Interview Survey, the State and Local Area Integrated Telephone Survey, and the National Health Care Survey all serve as valuable sources of information about the state of public health in the United States, but at the same time they are beset with challenges in securing accurate and representative data. The NCHS Research Data Center and data centers operated by other agencies are important resources for public health researchers. In providing data that are crucial for studies, the NCHS must always maintain a concern for the confidentiality, privacy, and security of information it obtains. The continuing application of technology and of the science of informatics holds promise of improving the speed, validity, and reliability of data collection, but it also poses challenges to existing survey methods. In adapting to the use of such technological developments as the Internet and cellular telephones and in continuing to apply technological applications to data collection, the NCHS has the opportunity to address current and new data needs. At the same time, the task of coping with technological change comes with the danger of data error, offering a challenge in continuing to improve morbidity data collection and dissemination.

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Authors
  1. Linda K. Demlo
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  2. Jane F. Gentleman
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Editor information

Editors and Affiliations

  1. Centers for Disease Control and Prevention Northwest Center for Public Health Practice, University of Washington school of Public Health, Seattle, 98105, WA, USA

    Patrick W. O’Carroll M.D., M.P.H., F.A.C.P.M.

  2. Crystal Insights, Government Division of Metatomix, Inc., Waltham, MA, 02451, USA

    Laura H. Ripp R.N., M.B.A., M.P.H.

  3. Public Health Informatics Institute, Decatur, GA, 30030, USA

    William A. Yasnoff M.D., Ph.D., F.A.C.M.I.

  4. Community Health Information Technology Alliance, Foundation for Health Care Quality, Seattle, WA, 98104, USA

    M. Elizabeth Ward R.N., M.N.

  5. Electronic Data Systems, Roswell, GA, 30075, USA

    Ernest L. Martin Ph.D., M.B.A., F.L.M.I.

  6. Truett-McConnell College, 30677, Watkinsville, GA, USA

    Ernest L. Martin Ph.D., M.B.A., F.L.M.I.

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© 2003 Springer-Verlag New York, Inc.

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Demlo, L.K., Gentleman, J.F. (2003). Morbidity Data. In: O’Carroll, P.W., Ripp, L.H., Yasnoff, W.A., Ward, M.E., Martin, E.L. (eds) Public Health Informatics and Information Systems. Health Informatics. Springer, New York, NY. https://doi.org/10.1007/0-387-22745-8_15

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  • DOI: https://doi.org/10.1007/0-387-22745-8_15

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-3018-7

  • Online ISBN: 978-0-387-22745-0

  • eBook Packages: Springer Book Archive

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