Peaks and pits of using large data bases to measure quality of care.
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.
Flood
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AB
University of Illinois, Urbana-Champaign.
D006302:Health Services Research; D006801:Humans; D007256:Information Systems / Q000706:statistics & numerical data*; D008722:Methods; D011787:Quality of Health Care; D016032:Randomized Controlled Trials as Topic; D014481:United States