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[ Recorded presentation ] Recorded presentation

Integrated survey designs: A framework for deriving estimates of the long term uninsured for extended time intervals

Steven Cohen, PhD, Center for Financing, Access and Cost Trends, AHRQ, 540 Gaither Road, Rockville, MD 20850, 3014271466, scohen@ahrq.gov, Trena Ezzati-Rice, MS, CFACT/DSRM, AHRQ, 540 Gaither Road, Rockville, MD 20850, and Jeffrey A. Rhoades, PhD, Center for Financing, Access, Cost and Trends, Agency for Healthcare Research and Quality, 540 Gaither Road, Rockville, MD 20850.

National estimates of the population's health insurance status are essential inputs to policymakers to inform assessments of the population's access to medical care and analyses of associated health care expenditures. Population estimates of the uninsured can vary substantially depending on the duration of time that defines a period of being without coverage. Alternative criteria that have been used to produce estimates of the uninsured include the following specifications: those uninsured for a given time interval (e.g. full-year, two year period), those ever uninsured during the time interval, and those uninsured at a specific point in time. The Medical Expenditure Panel Survey (MEPS), one of the core health care surveys in the United States, supports all three types of estimates. The survey is also characterized by an integrated survey design linked to the National Health Interview Survey (NHIS), which facilitates the derivation of national estimates for extended periods of time and yields enhancements to the conduct of longitudinal analyses. In this paper, a summary is provided of the capacity to derive extended longitudinal profiles of the long term uninsured in America through the linkage of the MEPS and the NHIS. Particular attention is given to the added value of an extended longitudinal profile in distinguishing the characteristics of individuals who are continuously uninsured for a minimum of two years from their counterparts with at least some period of coverage. The stability of these estimates and the profiles of the long term uninsured over time are also examined.

Learning Objectives:

Keywords: Health Insurance, Methodology

Related Web page: www.meps.ahrq.gov/PrintProducts/PrintProd_Detail.asp?ID=717&TABLE='Statistical%20Brief%20#104'&PPTYPE=

Presenting author's disclosure statement:

Any relevant financial relationships? No

[ Recorded presentation ] Recorded presentation

Survey Research and Methods for Public Health

The 134th Annual Meeting & Exposition (November 4-8, 2006) of APHA