Live case-based discussion outperformed paper cases on clinical reasoning performance at posttest and follow-up¶
Claim · All claims
Evidence · 1 study · reviewr3·q3·i3large
Currency · newest study 2024 · 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 i3 Live-CCD in comparison with paper cases had a significant and very large influence on clinical reasoning performance in posttest (SMD 1.936) and follow-up (SMD 1.933); Video-CCD showed smaller significant effects (SMD 1.108 posttest; 1.49 follow-up). → Delavari S 2024
Evidence¶
Delavari S 2024¶
Delavari S, Barzkar F, Rikers MJP, Pourahmadi M, Soltani Arabshahi SK, Keshtkar A, Dargahi H, Yaghmaei M, Monajemi A. (2024). Teaching and learning clinical reasoning skill in undergraduate medical students: A scoping review. PLOS ONE. https://doi.org/10.1371/journal.pone.0309606
q3 · i3 · review · r3
The review reports, from an included study attributed to Weidenbusch et al. (reference [38]), printed effect sizes SMD = 1.936 at posttest and SMD = 1.933 at follow-up, both P < 0.001; video-CCD effects (SMD = 1.108 and 1.49) were smaller but significant.
"Live-CCD in comparison paper cases had a significant and very large influence on clinical reasoning performance in posttest (SMD, 1.936 [1.337–2.535]; P < 0.001) and follow-up (1.933 [1.334–2.532]; P < 0.001)"
Discussion¶
Related Claims¶
- Blended teaching (TBL plus feedback and reflection) outperformed traditional bedside teaching on clinical reasoning performance — related
- Virtual patient simulations show mixed effects: improved diagnostic accuracy in one trial, no advantage over video teaching in another, and short-lived knowledge gains — related
- AI-powered PBL/CBL shows favourable but heterogeneous effects on clinical reasoning capability that could not be statistically pooled — related
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