Literature DB >> 15115422

Generating pre-test probabilities: a neglected area in clinical decision making.

John R Attia1, Balakrishnan R Nair, David W Sibbritt, Ben D Ewald, Neil S Paget, Rod F Wellard, Lesley Patterson, Richard F Heller.   

Abstract

OBJECTIVE: To assess the accuracy and variability of clinicians' estimates of pre-test probability for three common clinical scenarios.
DESIGN: Postal questionnaire survey conducted between April and October 2001 eliciting pre-test probability estimates from scenarios for risk of ischaemic heart disease (IHD), deep vein thrombosis (DVT), and stroke. PARTICIPANTS AND
SETTING: Physicians and general practitioners randomly drawn from College membership lists for New South Wales and north-west England. MAIN OUTCOME MEASURES: Agreement with the "correct" estimate (being within 10, 20, 30, or > 30 percentage points of the "correct" estimate derived from validated clinical-decision rules); variability in estimates (median and interquartile ranges of estimates); and association of demographic, practice, or educational factors with accuracy (using linear regression analysis).
RESULTS: 819 doctors participated: 310 GPs and 288 physicians in Australia, and 106 GPs and 115 physicians in the UK. Accuracy varied from about 55% of respondents being within 20% of the "correct" risk estimate for the IHD and stroke scenarios to 6.7% for the DVT scenario. Although median estimates varied between the UK and Australian participants, both were similar in accuracy and showed a similarly wide spread of estimates. No demographic, practice, or educational variables substantially predicted accuracy.
CONCLUSIONS: Experienced clinicians, in response to the same clinical scenarios, gave a wide range of estimates for pre-test probability. The development and dissemination of clinical decision rules is needed to support decision making by practising clinicians.

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Year:  2004        PMID: 15115422     DOI: 10.5694/j.1326-5377.2004.tb06020.x

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


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