Comparison of outcomes research with clinical trials using preexisting data
Canto, John G. Kiefe, Catarina I. Williams, O. Dale Barron, Hal V. Rogers, William J.
Canto, John G.
Kiefe, Catarina I.
Williams, O. Dale
Barron, Hal V.
Rogers, William J.
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UMass Chan Affiliations
Document Type
Journal Article
Publication Date
1999-10-26
Keywords
Bias (Epidemiology)
*Cardiology
Causality
Cohort Studies
Confounding Factors (Epidemiology)
Data Collection
*Databases, Factual
Ethics, Medical
*Health Services Research
Humans
*Outcome Assessment (Health Care)
*Randomized Controlled Trials as Topic
Research Design
Bioinformatics
Biostatistics
Epidemiology
Health Services Research
*Cardiology
Causality
Cohort Studies
Confounding Factors (Epidemiology)
Data Collection
*Databases, Factual
Ethics, Medical
*Health Services Research
Humans
*Outcome Assessment (Health Care)
*Randomized Controlled Trials as Topic
Research Design
Bioinformatics
Biostatistics
Epidemiology
Health Services Research
Subject Area
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Abstract
Outcomes research using analysis of preexisting data is a relatively new field with the potential to improve the quality and effectiveness of medical care, and may provide a useful complement to randomized studies. Motivated by the growth of this research in the cardiovascular literature, this review offers a framework to identify the core concepts of outcomes research from database analyses by comparing and contrasting it with the randomized clinical trial.
Source
Am J Cardiol. 1999 Oct 15;84(8):923-7, A6.
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DOI
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PubMed ID
10532512