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ABSTRACT: Background
The probability of a disease following a diagnostic test depends on the sensitivity and specificity of the test, but also on the prevalence of the disease in the population of interest (or pre-test probability). How physicians use this information is not well known.Objective
To assess whether physicians correctly estimate post-test probability according to various levels of prevalence and explore this skill across respondent groups.Design
Randomized trial.Participants
Population-based sample of 1,361 physicians of all clinical specialties.Intervention
We described a scenario of a highly accurate screening test (sensitivity 99% and specificity 99%) in which we randomly manipulated the prevalence of the disease (1%, 2%, 10%, 25%, 95%, or no
SUBMITTER: Agoritsas T
PROVIDER: S-EPMC3055966 | biostudies-literature | 2011 Apr
REPOSITORIES: biostudies-literature