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Peaks and Pits of Using Large Data Bases to Measure Quality of Care

Published online by Cambridge University Press:  10 March 2009

Ann Barry Flood
Affiliation:
University of lllinois, Urbana–Champaign

Abstract

This review of the advantages (peaks) and problems (pits) of large data bases to study quality contrasts their suitability with randomized control trials. Researchers need to advise policymakers and others about when statistically significant differences in quality are also politically and socially significant and deserve responsible reactions.

Type
Special Section: Measuring Health Care Effectiveness: Use of Large Data Bases for Technology and Quality Assessments
Copyright
Copyright © Cambridge University Press 1990

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