Claims

Clinical experience shows inconsistent effects on Bayesian reasoning, with research experience helping and newly qualified doctors sometimes more accurate

Claim · All claims
Evidence · 1 study · review r3 · q2
Currency · newest study 2015 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Two studies found no effect of experience (medical students vs qualified doctors) and one found no influence of age, while one found newly qualified doctors more accurate (29% vs 15%) and two found research experience improved estimation. → Whiting Penny F 2015

Evidence

Whiting Penny F 2015

Whiting Penny F, Davenport Clare, Jameson Catherine, Burke Margaret, Sterne Jonathan A C, Hyde Chris, Ben-Shlomo Yoav. (2015). How well do health professionals interpret diagnostic information? A systematic review. BMJ Open. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4521525/

q2 · i? · review · r3

Narrative synthesis of studies examining clinical experience, profession and academic training effects on Bayesian reasoning. The review reports two studies found no experience effect, one found no age influence, one found newly qualified doctors more accurate (29% vs 15%), and two found research experience improved estimation.

"One study found that a greater proportion of newly qualified doctors were more accurate in their estimation of post-test probability (29%) compared with more experienced doctors with or without an academic affiliation (15%)."

Discussion

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