Medical student selection process enhanced by improving selection algorithms and changing the focus of interviews in Australia: a descriptive study

Autor:	Shulruf B; Office of Medical and Health Education, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW, Australia., Velan GM; Office of Medical and Health Education, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW, Australia., Kennedy SE; Office of Medical and Health Education, Faculty of Medicine and Health, The University of New South Wales, Sydney, NSW, Australia.
Jazyk:	angličtina
Zdroj:	Journal of educational evaluation for health professions [J Educ Eval Health Prof] 2022; Vol. 19, pp. 31. Date of Electronic Publication: 2022 Nov 28.
DOI:	10.3352/jeehp.2022.19.31
Abstrakt:	Purpose: The study investigates the efficacy of new features introduced to the selection process for medical school at the University of New South Wales, Australia: (1) considering the relative ranks rather than scores of the Undergraduate Medicine and Health Sciences Admission Test and Australian Tertiary Admission Rank; (2) structured interview focusing on interpersonal interaction and concerns should the applicants become students; and (3) embracing interviewers’ diverse perspectives. Methods: Data from 5 cohorts of students were analyzed, comparing outcomes of the second year in the medicine program of 4 cohorts of the old selection process and 1 of the new process. The main analysis comprised multiple linear regression models for predicting academic, clinical, and professional outcomes, by section tools and demographic variables. Results: Selection interview marks from the new interview (512 applicants, 2 interviewers each) were analyzed for inter-rater reliability, which identified a high level of agreement (kappa=0.639). No such analysis was possible for the old interview since it required interviewers to reach a consensus. Multivariate linear regression models utilizing outcomes for 5 cohorts (N=905) revealed that the new selection process was much more effective in predicting academic and clinical achievement in the program (R2=9.4%–17.8% vs. R2=1.5%–8.4%). Conclusion: The results suggest that the medical student selection process can be significantly enhanced by employing a non-compensatory selection algorithm; and using a structured interview focusing on interpersonal interaction and concerns should the applicants become students; as well as embracing interviewers’ diverse perspectives.
Databáze:	MEDLINE
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