JSM 2005 Online Program

Abstract #304148

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 - #304148
Title:	Examination of Alternative Nonresponse Adjustments: An Application to Expenditure Data in the Household Component of the Medical Expenditure Panel Survey (MEPS-HC)
Author(s):	David Kashihara*+ and John Sommers
Companies:	Agency for Healthcare Research and Quality and Agency for Healthcare Research and Quality
Address:	CFACT DSRM, Rockville, MD, 20850, United States
Keywords:	nonresponse bias ; weight adjustments ; propensity scores
Abstract:	The household component of the Medical Expenditure Panel Survey is designed to provide annual, nationally representative estimates of health care use, health status, medical expenditures, sources of payment, insurance coverage, and health care access for the U.S. civilian noninstitutionalized population. Both person-level and household-level data are collected. The MEPS-HC consists of an overlapping panel design in which persons in a given panel are interviewed five times, covering a two-year period. Previous studies have shown a high percentage of medical expenditures are incurred by a small proportion of the population. In addition, examination of Panel 4 data has shown that survey attrition is associated with higher levels of expenditures. The aim of this study is to explore different adjustment methods to determine if the drop in expenditures reporting is a product of the current adjustment methodology. The study will compare Year 1 expenditures to Year 2 expenditures using response probabilities determined from logistic regressions based on the current set of adjustment variables and those based on a more recent study of MEPS data.

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