Estimating the size of the uninsured and other vulnerable populations in a local area
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Estimating the Size of the Uninsured and Other Vulnerable Populations in a Local Area. Lynn A. Blewett, Ph.D. Timothy Beebe, Ph.D. Estimating the Size of the Uninsured Populations at the Local Level. Do your own survey - To directly measure health insurance coverage and rates of uninsurance

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Estimating the Size of the Uninsured and Other Vulnerable Populations in a Local Area

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Estimating the size of the uninsured and other vulnerable populations in a local area

Estimating the Size of the Uninsured and Other Vulnerable Populations in a Local Area

Lynn A. Blewett, Ph.D.

Timothy Beebe, Ph.D.


Estimating the size of the uninsured populations at the local level

Estimating the Size of the Uninsured Populations at the Local Level

  • Do your own survey

    - To directly measure health insurance coverage and rates of uninsurance

  • Use existing available data to:

    • Develop proxy measures of uninsurance

    • Develop statistical model-based estimates


Direct measures national data

Direct Measures: National Data

  • Three surveys provide state-level estimates of health insurance coverage.

    • Current Population Survey (CPS): Census

    • Medical Expenditure Panel (Employer) Survey – Insurance Component (MEPS-IC): Agency for Healthcare Research and Quality

    • State and Local Area Integrated Telephone Survey (SLAITS): National Center for Health Statistics


Direct measures state data

Direct Measures: State Data

  • 37 States have developed and fielded their own state household survey to estimate levels of health insurance coverage

    • Many funded by the federal Health Resources Services and Administration State Planning Grant Program

    • Typically have larger sample size and some regional/county estimates of coverage


Proxy measures

Proxy Measures

  • Use an available measure to serve as a proxy for health insurance coverage

  • Example: self-pay variable from hospital administrative records to estimate local levels of uninsurance


Model based approach

Model-Based Approach

  • Predicts health insurance coverage using one or more variables correlated with health insurance coverage

  • Example: correlation between state unemployment and uninsurance and applying this at local level


National model based estimates

National Model-Based Estimates

  • Small-Area Estimation

  • Census and AHRQ are both working on sophisticated models to provide state and local area estimates

    • CPS: Uninsurance

    • MEPS-IC: Employment offer and take up rates


Estimating the size of the uninsured and other vulnerable populations in a local area

Overview of Approaches for Estimating Number of

Uninsured At the Local Level


Estimating the size of the uninsured and other vulnerable populations in a local area

Contact Information

www.shadac.org

2221 University Avenue, Suite 345

Minneapolis Minnesota 55414

(612) 624-4802

Principal Investigator: Lynn Blewett, Ph.D. [email protected]

Co-Principal Investigator: Kathleen Call, Ph.D. [email protected]

Center Director: Kelli Johnson, M.B.A. [email protected]

Senior Research Associate: Timothy Beebe, Ph.D. [email protected]

Research Associate: Michael Davern, Ph.D. [email protected]


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