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National inter-rater agreement of standardised simulated-patient-based assessments

Bibliographic Data

ID21448872
AuthorsAmir H Sam (0000-0002-9599-9069, Imperial College London), Michael D Reid (0000-0002-8998-0265, Imperial College London), Viral Thakerar (0000-0002-7635-6455, Imperial College London), Mark Gurnell (0000-0001-5745-6832, University of Cambridge), Rachel Westacott (0000-0001-9846-1961, Birmingham Medical School, University of Birmingham, Birmingham, Edgbaston, UK), Malcolm Reed (0000-0001-7442-2132, Brighton and Sussex Medical School), Malcolm W R Reed (Brighton and Sussex Medical School, University of Sussex, Brighton, UK), Celia Brown (0000-0002-7526-0793, University of Warwick, corresponding author)
Year2021
Volume43
Issue3
Pages341-346
Publication date2021-03-04
Open AccessNo
TypeARTICLE
VenueMedical Teacher (JOURNAL)
Journal identifiersISSN: 0142-159X • E-ISSN: 1466-187X
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/0142159x.2020.1845909
PMID33198538
OpenAlexW3100328731
LanguageEN
Citations received2
References cited16

PURPOSE: The forthcoming UK Medical Licensing Assessment will require all medical schools in the UK to ensure that their students pass an appropriately designed Clinical and Professional Skills Assessment (CPSA) prior to graduation and registration with a licence to practice medicine. The requirements for the CPSA will be set by the General Medical Council, but individual medical schools will be responsible for implementing their own assessments. It is therefore important that assessors from different medical schools across the UK agree on what standard of performance constitutes a fail, pass or good grade. METHODS: We used an experimental video-based, single-blinded, randomised, internet-based design. We created videos of simulated student performances of a clinical examination at four scripted standards: clear fail (CF), borderline (BD), clear pass (CPX) and good (GD). Assessors from ten regions across the UK were randomly assigned to watch five videos in 12 different combinations and asked to give competence domain scores and an overall global grade for each simulated candidate. The inter-rater agreement as measured by the intraclass correlation coefficient (ICC) based on a two-way random-effects model for absolute agreement was calculated for the total domain scores. RESULTS: 120 assessors enrolled in the study, with 98 eligible for analysis. The ICC was 0.93 (95% CI 0.81-0.99). The mean percentage agreement with the scripted global grade was 74.4% (range 40.8-96.9%). CONCLUSIONS: The inter-rater agreement amongst assessors across the UK when rating simulated candidates performing at scripted levels is excellent. The level of agreement for the overall global performance level for simulated candidates is also high. These findings suggest that assessors from across the UK viewing the same simulated performances show high levels of agreement of the standards expected of students at a 'clear fail,' 'borderline,' 'clear pass' and 'good' level

Competence (human resources) · Family medicine · Graduation (instrument) · Inter-rater reliability · Intraclass correlation · Medical education · Medical physics · Rating scale · Clinical Psychology · Clinical Reasoning and Diagnostic Skills · Innovations in Medical Education · Mathematics · Medical Education and Admissions · Medicine · Psychology · Social Psychology

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    Open Access•Terry K Koo, Mae Y Li•Journal of Chiropractic Medicine•2016

Citations per year0.5
Citation span2022 - 2026 (5)
Highly citedNo

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