Choosing quality of care measures based on the expected impact of improved care on health

A. L. Siu, E. A. McGlynn, H. Morgenstern, M. H. Beers, D. M. Carlisle, E. B. Keeler, J. Beloff, K. Curtin, J. Leaning, B. C. Perry, H. P. Selker, W. Weiswasser, A. Wiesenthal, R. H. Brook

Research output: Contribution to journalArticlepeer-review

28 Scopus citations

Abstract

Consumers, payers, and policymakers are demanding to know more about the quality of the services they are purchasing or might purchase. The information provided, however, is often driven by data availability rather than by epidemiologic and clinical considerations. In this article, we present an approach for selecting topics for measuring technical quality of care, based on the expected impact on health of improved quality. This approach employs data or estimates on disease burden, efficacy of available treatments, and the current quality of care being provided. We use this model to select measures that could be used to measure the quality of care in health plans, but the proposed frame work could also be used to select quality of care measures for other purposes or in other contexts (for example, to select measures for hospitals). Given the limited resources available for quality assessment and the policy consequences of better information on provider quality, priorities for assessment efforts should focus on those areas where better quality translates into improved health.

Original languageEnglish
Pages (from-to)619-650
Number of pages32
JournalHealth Services Research
Volume27
Issue number5
StatePublished - 1992
Externally publishedYes

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