estimating the size of the uninsured and other vulnerable populations in a local area
Download
Skip this Video
Download Presentation
Estimating the Size of the Uninsured and Other Vulnerable Populations in a Local Area

Loading in 2 Seconds...

play fullscreen
1 / 9

Estimating the Size of the Uninsured and Other Vulnerable Populations in a Local Area - PowerPoint PPT Presentation


  • 84 Views
  • Uploaded on

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

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'Estimating the Size of the Uninsured and Other Vulnerable Populations in a Local Area' - sebastian-camacho


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.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
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
slide9
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]

ad