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A R Feinstein

Publications and source records attributed to A R Feinstein.

381 records · Page 22Linked to original sources

Use of methodological standards in diagnostic test research. Getting better but still not good.

OBJECTIVE: To determine the frequency and temporal changes in application of seven accepted methodological standards for the evaluation of diagnostic tests. DATA SOURCES: A search of the MEDLINE database yielded 1302 articles about diagnostic test studies, during a 16-year secular interval, 1978 through 1993, in four prominent general medical journals. STUDY SELECTION: In the 112 eligible studies, the test was intended for clinical use, indexes of accuracy (sensitivity and specificity or likelihood ratios) were provided, and more than 10 patients were enrolled. DATA EXTRACTION: Although each study was critically reviewed by one primary observer, a subset was independently evaluated for interrater consistency. DATA SYNTHESIS: The percentage of studies that fulfilled criteria for each of the seven methodological standards are as follows: (1) specify spectrum of evaluated patients, 27%; (2) report test indexes for clinical subgroups, 8%; (3) avoid workup bias, 46%; (4) avoid review bias, 38%; (5) provide numerical precision for test indexes, 11%; (6) report frequency and management of indeterminate results when calculating test indexes, 22%; and (7) specify test reproducibility, 23%. Secular increases were found for six of the seven standards in ranges of use from 14% to 31% during 1978-1981 to 1990-1993. Nevertheless, only one standard, avoidance of workup bias, was fulfilled by more than 50% of studies in the most recent secular interval. CONCLUSIONS: These results indicate that most diagnostic tests are still inadequately appraised. The routine demand for methodological standards could raise the quality of diagnostic test information, and the careful predissemination evaluation of diagnostic tests could eliminate useless tests before they receive widespread application.

Bias↗

A critical appraisal of the quality of quality-of-life measurements.

OBJECTIVE: To evaluate how well quality of life is being measured in the medical literature and to offer a new approach to the measurement. DATA SOURCES: Original English-language articles having the term "quality of life" in their titles were identified from a recent Quality-of-Life Bibliography and from two MEDLINE searches. Articles were eligible for review only if they described or used one or more "quality-of-life" instruments. STUDY SELECTION: Twenty-five articles were randomly selected from each of the three data sources. DATA EXTRACTION: Each article was reviewed for its compliance with two sets of criteria having several components, which are cited under "Data Synthesis." DATA SYNTHESIS: (1) Investigators conceptually defined quality of life in only 11 (15%) of the 75 articles; identified the targeted domains in only 35 (47%); gave reasons for selecting the chosen quality-of-life instruments in only 27 (36%); and aggregated their results into a composite quality-of-life score in only 27 (38%) of 71 eligible articles. (2) No article distinguished "overall" quality of life from health-related quality of life; patients were invited to give their own separate rating for quality of life in only 13 articles (17%); and among 71 eligible articles, patients were asked to supplement the stipulated items with personal responses in only nine (13%) and to rate the importance of individual items in only six (8.5%). CONCLUSIONS: Because quality of life is a uniquely personal perception, denoting the way that individual patients feel about their health status and/or nonmedical aspects of their lives, most measurements of quality of life in the medical literature seem to aim at the wrong target. Quality of life can be suitably measured only by determining the opinions of patients and by supplementing (or replacing) the instruments developed by "experts."

Health Services Research↗