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The utility of HMO data for the surveillance of chronic diseases

D L Nordstrom1, P L Remington, P M Layde

  • 1Marshfield Medical Research Foundation, Wis. 54449-5790.

Insights

Health maintenance organization (HMO) data alone may inaccurately estimate chronic disease prevalence. Comparing HMO and fee-for-service records revealed significant variations, highlighting the need for comprehensive data sources.

Area of Science:

  • Epidemiology
  • Health Services Research

Background:

  • Health maintenance organizations (HMOs) and fee-for-service (FFS) models represent different healthcare delivery and reimbursement systems.
  • Accurate disease prevalence estimation is crucial for public health planning and resource allocation.

Purpose of the Study:

  • To compare the estimated prevalence of 11 chronic diseases between patients within an HMO and those in a fee-for-service (FFS) system.
  • To assess the validity of using solely HMO data for disease prevalence studies.

Main Methods:

  • A retrospective review of computerized medical records was conducted.
  • Prevalence ratios were calculated by comparing annual disease prevalence between the HMO and FFS patient groups within a single medical center.

Main Results:

  • Significant variations in prevalence ratios were observed across 11 diseases, ranging from 1.38 for rheumatoid arthritis to 0.60 for liver cirrhosis.
  • These discrepancies suggest that HMO data alone may not fully capture disease prevalence.

Conclusions:

  • Relying exclusively on HMO data can lead to inaccurate estimates of chronic disease prevalence.
  • Supplementing HMO data with information from hospitals, physicians, and other sources is essential for valid prevalence studies.

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