Using Data to Meet a Policy Objective: Community Health Assessment Practice with the CATCH Data Warehouse

  • James Studnicki
  • Alan R. Hevner
  • Donald J. Berndt
Part of the Health Informatics book series (HI)


The CATCH data warehouse, sponsored by numerous organizations and developed at the University of South Florida, is a state-of-the-art community health assessment tool in both its assessment methodology and in its use of data warehousing technology. In this chapter, CATCH and its usefulness for community health planning are described. A case study that illustrates the capabilities of CATCH to support research concerning community health issues is provided. In many ways, the CATCH data warehouse is the gold standard for community health assessment. Although its current applications focus on Florida community health issues, CATCH as a concept has implications for community health decision-making support on a national scale.


Community Health Infant Mortality Racial Disparity Data Warehouse Policy Objective 
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  1. 1.
    Institute of Medicine, Summary of Recommendations. In: Waterfall W, ed. The Future of Public Health. Washington DC, National Academy Press; 1988.Google Scholar
  2. 2.
    Institute of Medicine, Measurement Tools for a Community Health Improvement Process. In: Durch J, Bailey L, Stoto M, eds. Improving Health in the Community, a Role for Performance Monitoring. Washington, DC: National Academy Press; 1997.Google Scholar
  3. 3.
    Institute of Medicine. Healthy Communities: New Partnerships for the Future of Public Health. Washington, DC: National Academy Press; 1996.Google Scholar
  4. 4.
    Nakajima H. Editorial: New players for a new era. World Health 1997;50:3.Google Scholar
  5. 5.
    Cropper S. Collaborative working and the issue of sustainability. In: Huxham C, ed. Creating Collaborative Advantage. London: SAGE Pub; 1996.Google Scholar
  6. 6.
    Centers for Disease Control and Prevention. Principles of Community Engagement. Atlanta, GA: Centers for Disease Control and Prevention; 1997.Google Scholar
  7. 7.
    Chrislip D, Larson C. Collaborative Leadership: How Citizens and Civic Leaders Can Make a Difference. San Francisco: Jossey-Bass; 1994.Google Scholar
  8. 8.
    Studnicki J, Steverson B, Myers B, Hevner, A, Berndt, D. Comprehensive assessment for tracking community health (CATCH). Best Practices and Benchmarking in Healthcare 1997:196–207.Google Scholar
  9. 9.
    Gray P, Watson H. Decision Support in the Data Warehouse. Englewood Cliffs, NJ: Prentice-Hall; 1998.Google Scholar
  10. 10.
    Williams D. Race and health: Basic questions, emerging directions. Ann Epidemiol 1997;7:322–333.PubMedCrossRefGoogle Scholar
  11. 11.
    Lillie-Blanton M, Parsons P, Gayle H, Dievler A. Racial differences in health: Not just black and white, but shades of gray. Annu Rev Public Health 1996;17:411–448.PubMedCrossRefGoogle Scholar
  12. 12.
    Stockwell E. Goza F. Racial differences in the relationship between infant mortality and socioeconomic status. J Biosoc Sci 1996;28:73–84.PubMedCrossRefGoogle Scholar
  13. 13.
    Din-Dzietham R. Hertz-Picciotto I. Infant mortality differences between whites and African Americans: The effect of maternal education. Am J Public Health 1998;88:651–656.PubMedCentralPubMedCrossRefGoogle Scholar
  14. 14.
    Alexander G, Kogan M, Himes J, Mor J, Goldenberg R. Racial differences in birth weight for gestational age and infant mortality in extremely-low-risk US populations. Paediatr Perinat Epidemiol 1999; 13:205–217.PubMedCrossRefGoogle Scholar
  15. 15.
    Chicago Department of Public Health. CDPH Announces Three-Point Plan to Address Infant Mortality and SIDS Rates in Chicago’s African-American Community. Available at: Accessed April 4, 2002.Google Scholar
  16. 16.
    Dennis A, Hilmer K, Taylor N. Information exchange and use in GSS and verbal group decision making: effects of minority influence. Journal of Management Information Systems 1998;14:61–88.Google Scholar
  17. 17.
    Mintzberg H. The Nature of Managerial Work, New York: Harper and Row; 1973.Google Scholar

Copyright information

© Springer-Verlag New York, Inc. 2003

Authors and Affiliations

  • James Studnicki
  • Alan R. Hevner
  • Donald J. Berndt

There are no affiliations available

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