 | The 131st Annual Meeting (November 15-19, 2003) of APHA |
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| The 131st Annual Meeting (November 15-19, 2003) of APHA |
Deborah D. Ingram, PhD, National Center for Health Statistics, 3311 Toledo Rd., MS6208, Hyattsville, MD 20782, (301) 458-4733, DDIngram@cdc.gov and Christopher Moriarity, PhD, U.S. Government Accounting Office, xxxxx, Washington, DC 20000.
This paper describes the statistical match of the 1995 National Health Interview Survey (NHIS) and the March 1996 Current Population Survey (CPS) and presents the results of an evaluation of the quality of the match. Statistical matching is a method used to combine two files when it is very unlikely that an individual is included on both files. This is in contrast to exact linkage where one attempts to link a record for a specific individual on one file with that for the same individual on the other file. The purpose of the match of the NHIS and CPS was to obtain a data set that would provide measures of health status, health care utilization and family resources on the same file. Such a file is of interest to policy analysts who wish to examine the effect of changes in health policy, particularly with regard to effects on health care utilization. The statistical match between the NHIS and CPS was carried out using fully constrained predictive mean matching with partitioning. Two separate matches were performed, one with the CPS as the Host file and one with the NHIS as the Host file. The evaluation will attempt to determine not only whether the distribution of key variables was maintained in the match, but also whether relationships among variables were maintained.
Learning Objectives:
Keywords: Health Care Utilization, Staff Retention
Presenting author's disclosure statement:
I do not have any significant financial interest/arrangement or affiliation with any organization/institution whose products or services are being discussed in this session.