Claims

Natural frequencies combined with graphical aids produced the highest proportion of correct post-test probability estimates in one RCT

Claim · All claims
Evidence · 1 study · review r3 · q3
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.

q3 i? One RCT found natural frequencies with graphical aids produced 73% correct post-test probability estimates, compared with 68% for probabilities with graphical aids, 48% for natural frequencies alone and 23% for probabilities alone. → 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/

q3 · i? · review · r3

Randomised controlled trial reported within the review comparing four presentation formats for test accuracy information. Natural frequencies with graphical aids produced the highest proportion of correct estimates at 73%, versus 68%, 48% and 23% for the other formats.

"One RCT demonstrated that presenting test accuracy information as natural frequencies with graphical aids resulted in the highest proportion of correct post-test probability estimates (73%) compared with probabilities with graphical aids (68%), natural frequencies alone (48%) or probabilities alone (23%)."

Discussion

Page metadata
Field Value
status review
generated by process:wiki-ingest on 2026-11-01
trust unverified — no one has confirmed this page's content

Frontmatter is the page's machine-readable record — see the Schema & Guide.