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The Gerontologist, Vol 37, Issue 6 757-766, Copyright © 1997 by The Gerontological Society of America
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G Arling, SL Karon, F Sainfort, DR Zimmerman and R Ross
Bloch School of Business and Public Administration, University of Missouri-Kansas City 64110, USA. garling@cctr.umkc.edu
The purpose of this study was to develop a method for risk adjusting nursing home quality indicators (QI's). The QI's measure incidence and prevalence of resident-level care processes and outcomes which are indicative of care quality. Risk adjustment was carried out by stratifying residents into risk groups (high and low), calculating QI rates within groups, and then drawing comparisons across facilities. The method was examined through analysis of data from over 800 nursing homes in four states. Results showed that facilities differed substantially in QI rates even after risk had been taken into account. Also, results suggested differences in care quality which may not have been apparent without controlling for risk.
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