Evidence map›Paper›PMID 39704960›Full record

ArticleAdvances in health sciences education : theory and practice2025

Big data analysis: examination of the relationship between candidates' sociodemographic characteristics and performance in the UK's Membership of the Royal College of Physicians Part 1 examination.

Peter W Johnston, Rute Vieira, Isobel M Cameron, Ben Kumwenda, Kim A Walker, Jennifer A Cleland

Abstract read
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Article in Advances in health sciences education : theory and practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Peter W JohnstonNHS Education for Scotland, Edinburgh, UK.ORCID 0000-0002-9446-8354
Rute VieiraInstitute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.ORCID 0000-0002-3599-7299
Isobel M CameronCentre for Healthcare Education Research and Innovation (CHERI), School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Room 2:040, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, UK.ORCID 0009-0002-3634-6049
Ben KumwendaCentre for Medical Education, University of Dundee, Dundee, UK.ORCID 0000-0003-1600-8229
Kim A WalkerCentre for Healthcare Education Research and Innovation (CHERI), School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Room 2:040, Polwarth Building, Foresterhill, Aberdeen, AB25 2ZD, UK. kim.walker@abdn.ac.uk.ORCID 0000-0001-8873-2270
Jennifer A ClelandLee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.ORCID 0000-0003-1433-9323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Big datasets and data analytics enable granular analyses examining group differences in performance. Our focus is on differential attainment (DA) in postgraduate College (Board) examinations. We asked: Are candidates' sociodemographic characteristics associated with performance on the UK's Membership of the Royal College of Physicians (MRCP) Part 1 after adjusting for medical school performance (MSP) and type of medical programme? This was a retrospective longitudinal cohort study of 6040 medical graduates with linked sociodemographic data in the UK Medical Education Database qualifying from a UK medical school (2012-2014) and sitting MRCP Part 1 before October 2019. Chi-squared tests established univariable associations with MRCP performance (pass/fail first sitting MRCP Part 1). Multivariable mixed-effects logistic regression identified independent explanatory factors of success, adjusted for medical school. The odds (95% CI) of passing MRCP Part 1 exams on first sitting were greater for men (OR = 1.61, CI 1.42-1.81, p < 0.001) and those on a graduate entry programme (OR = 1.44, 1.05-1.99, p < 0.001). The odds of passing were lower as age increases (OR = 0.87, 0.85-0.90, p < 0.001), for minority ethnic (OR = 0.61, CI 0.53-0.7, p < 0.001), and gateway to medicine (OR = 0.49, CI 0.27-0.90, p = 0.02) candidates. After adjusting for MSP, odds were greater for passing in men (OR = 1.62, CI 1.24-2.11, p < 0.001) and candidates with higher MSP (OR = 4.12, CI 3.40-4.96, p < 0.001). Our findings illustrate how performance on MRCP part 1 is associated with group-level social and educational factors. This DA may be due to aspects of the assessment itself, and/or the persistent nature of social and educational disadvantage.

Indexed as

Big DataEducational MeasurementSchools, MedicalAdultFemaleHumansLongitudinal StudiesMaleRetrospective StudiesSocieties, MedicalSociodemographic FactorsSocioeconomic FactorsUnited KingdomBig dataDifferential attainmentMRCPPerformancePostgraduate medical education

Identifiers

PMID39704960
PMCPMC11925973

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.