JSM 2005 Online Program

Abstract #304368

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	220
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Health Policy Statistics
Abstract - #304368
Title:	Investigation of the Capacity for State-level Estimates in the Medical Expenditure Panel Survey
Author(s):	John Sommers*+ and Steven Machlin
Companies:	Agency for Healthcare Research and Quality and Agency for Healthcare Research and Quality
Address:	540 Gaither Road, Rockville, MD, 20850, United States
Keywords:	health expenditures ; small area estimation ; MEPS
Abstract:	The Medical Expenditure Panel Survey-Household Component (MEPS) is designed to produce estimates of health care use, expenditures, sources of payment, and insurance coverage among the U.S. civilian noninstitutionalized population. While MEPS and many other large national surveys are designed primarily to ensure reliable estimates at the national and regional levels for a large variety of population subgroups, there is a growing demand for more detailed subnational estimates. For example, many heath policy issues are determined at the state level, including the design and implementation of Medicaid plans and programs for the uninsured. This paper examines the capacity for producing population-based health care expenditure estimates with acceptable precision for selected states using data from the 2002 MEPS. Our analysis compares the precision of estimates for a variety of health care services using three methodologies: direct estimation, estimation with a poststratification adjustment to state population control totals, and a small-area estimation approach that combines both state- and Census Division-level data.

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