JSM 2005 Online Program

Abstract #302445

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:	342
Type:	Invited
Date/Time:	Wednesday, August 10, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Section on Health Policy Statistics
Abstract - #302445
Title:	Income and Health Estimates from Major National Surveys
Author(s):	Joan L. Turek*+ and Gabrielle Denmead
Companies:	U.S. Department of Health and Human Services and Denmead Services & Consulting
Address:	Assistant Secretary for Planning and Evaluation, Washington, DC, 20201, United States
Keywords:	family income ; health status ; health insurance ; health care utilization ; program participation ; major survey
Abstract:	Income has been shown to be an important determinant of health status, insurance coverage, and health care access and utilization. However no major survey collects detailed income data and detailed health insurance, health status, and health care utilization data. The most detailed health care utilization data is collected by the National Health Interview Survey (NHIS). This paper analyzes data from the NHIS on health status, utilization, and health insurance at the person level using total family income. Other variables of analysis include receipt of means-tested and nonmeans-tested transfer programs, age, race, and gender. Distributions from the 2001 NHIS are compared to distributions of similar variables from the Current Population Survey and Survey of Income and Program Participation. Quintiles are used to examine relationships because, in 2001, some 28% of the family income responses in the NHIS were topcoded. Also examined are relationships between income and health in the different surveys to determine whether the SIPP and CPS provide similar pictures to the NHIS.

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