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.

Autor: Johnston PW; NHS Education for Scotland, Edinburgh, UK.; Centre 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., Vieira R; Institute of Applied Health Sciences, School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK., Cameron IM; Centre 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., Kumwenda B; Centre for Medical Education, University of Dundee, Dundee, UK., Walker KA; Centre 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., Cleland JA; Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore, Singapore.
Jazyk: angličtina
Zdroj: Advances in health sciences education : theory and practice [Adv Health Sci Educ Theory Pract] 2024 Dec 20. Date of Electronic Publication: 2024 Dec 20.
DOI: 10.1007/s10459-024-10406-3
Abstrakt: 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.
Competing Interests: Declarations. Conflict of interest: The authors declare no competing interests.
(© 2024. The Author(s).)
Databáze: MEDLINE
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