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Counting the uninsured using state-level hospitalization data.

C Turner1, E Campbell

  • 1State Center for Health Statistics, State of Florida Agency for Health Care Administration, Tallahassee 32308, USA. turnerc@fdhc.state.fl.us

Public Health Reports (Washington, D.C. : 1974)
|February 6, 1999
PubMed
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State hospital data can estimate the uninsured population. Uninsured hospitalizations for appendectomies and heart attacks provided a close approximation to Census Bureau data, suggesting a viable alternative monitoring method.

Area of Science:

  • Health Services Research
  • Public Health Policy
  • Health Economics

Background:

  • Estimating the uninsured population is crucial for public health policy and resource allocation.
  • Existing methods, like the Census Bureau's Current Population Survey, provide valuable data but may have limitations in timeliness or granularity.
  • State-level administrative data from hospitals offers a potentially underutilized resource for tracking health insurance coverage.

Purpose of the Study:

  • To evaluate the accuracy and appropriateness of using state-level data on uninsured hospitalizations as a proxy for estimating the size of the uninsured population.
  • To determine if specific, common inpatient conditions can yield reliable estimates of uninsurance rates.

Main Methods:

  • Utilized Florida's hospitalization data from 1992-1996 for appendectomies, heart attacks, and newborn care.

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  • Calculated the proportion of uninsured patients for these conditions.
  • Compared these estimates with the 1996 US Census March Current Population Survey (CPS) data for Florida's uninsured population.

    • Main Results:

    • Estimates derived from uninsured appendectomy and heart attack hospitalizations were approximately 1.6 percentage points lower than CPS estimates.
    • These results were adjusted for demographic variations (gender, ethnicity) in the population.
    • The findings suggest a strong correlation between hospitalization data and survey-based uninsurance rates.

    Conclusions:

    • State-level hospital administrative data is a feasible and appropriate resource for monitoring trends in health insurance coverage.
    • This data source offers a valuable alternative for state-level analyses of the uninsured population.
    • Hospitalization data can supplement traditional survey methods for a more comprehensive understanding of insurance gaps.