1 / 9

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. Do your own survey - To directly measure health insurance coverage and rates of uninsurance

sebastian-camacho
Télécharger la présentation

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

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Estimating the Size of the Uninsured and Other Vulnerable Populations in a Local Area Lynn A. Blewett, Ph.D. Timothy Beebe, Ph.D.

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. Overview of Approaches for Estimating Number of Uninsured At the Local Level

  9. Contact Information www.shadac.org 2221 University Avenue, Suite 345 Minneapolis Minnesota 55414 (612) 624-4802 Principal Investigator: Lynn Blewett, Ph.D. blewe001@umn.edu Co-Principal Investigator: Kathleen Call, Ph.D. callx001@umn.edu Center Director: Kelli Johnson, M.B.A. johns706@umn.edu Senior Research Associate: Timothy Beebe, Ph.D. beebe002@umn.edu Research Associate: Michael Davern, Ph.D. daver004@umn.edu

More Related