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Related Experiment Videos

Using hospital discharge data for disease surveillance

L Huff1, G Bogdan, K Burke

  • 1Division of Disease Control, Maine Bureau of Health, State House Station, Augusta, ME 04333, USA.

Public Health Reports (Washington, D.C. : 1974)
|January 1, 1996
PubMed
Summary

Hospital discharge data can track chronic diseases like cancer, but rates may be overestimated compared to cancer registries. Further improvements are needed for accurate disease surveillance.

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Area of Science:

  • Public Health Surveillance
  • Epidemiology
  • Health Informatics

Background:

  • Assessing chronic disease trends and geographic variations is crucial for public health planning.
  • Hospital discharge data offers a potential resource for disease surveillance, but its accuracy needs evaluation.
  • Existing surveillance systems may have limitations in capturing the full scope of chronic disease occurrence.

Purpose of the Study:

  • To evaluate the effectiveness of hospital discharge data for monitoring chronic diseases.
  • To compare disease occurrence rates derived from hospital data versus cancer registry data.
  • To identify discrepancies and suggest improvements for utilizing hospital discharge data in surveillance.

Main Methods:

  • Utilized the Chronic Disease Surveillance System (1987-1991), integrating hospital discharge and Cancer Registry data.

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  • Focused on three chronic diseases: breast, cervical, and lung cancer.
  • Employed a computerized algorithm for record linkage and adjusted rates for age using the 1985 Maine population.

    • Main Results:

    • Hospital discharge data yielded higher occurrence rates for all three studied cancers compared to Cancer Registry data.
    • Discrepancies suggest potential overestimation when using hospital discharge records alone.
    • Analysis highlights the need for careful interpretation and potential adjustments when using this data source.

    Conclusions:

    • Hospital discharge data shows promise for chronic disease surveillance but requires methodological refinement.
    • Further research is needed to understand and mitigate the causes of rate discrepancies.
    • Improving data linkage and validation is essential for enhancing the utility of hospital data in public health.