Journal of Educational Evaluation for Health Professions

Review

Insights into undergraduate medical student selection tools: a systematic review and meta-analysis: Pin-Hsiang Huang, Arash Arianpoor, Silas Taylor, Jenzel Gonzales, Boaz Shulruf; J Educ Eval Health Prof. 2024;21:22. Published online September 12, 2024; DOI: https://doi.org/10.3352/jeehp.2024.21.22; Correction in: J Educ Eval Health Prof 2024;21(0):41

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Purpose
Evaluating medical school selection tools is vital for evidence-based student selection. With previous reviews revealing knowledge gaps, this meta-analysis offers insights into the effectiveness of these selection tools.
Methods
A systematic review and meta-analysis were conducted applying the following criteria: peer-reviewed articles available in English, published from 2010 and which include empirical data linking performance in selection tools with assessment and dropout outcomes of undergraduate entry medical programs. Systematic reviews, meta-analyses, general opinion pieces, or commentaries were excluded. Effect sizes (ESs) of the predictability of academic and clinical performance within and by the end of the medicine program were extracted, and the pooled ESs were presented.
Results
Sixty-seven out of 2,212 articles were included, which yielded 236 ESs. Previous academic achievement predicted medical program academic performance (Cohen’s d=0.697 in early program; 0.619 in end of program) and clinical exams (0.545 in end of program). Within aptitude tests, verbal reasoning and quantitative reasoning predicted academic achievement in the early program and in the last years (0.704 & 0.643, respectively). Overall aptitude tests predicted academic achievement in both the early and last years (0.550 & 0.371, respectively). Neither panel interviews, multiple mini-interviews, nor situational judgement tests (SJT) yielded statistically significant pooled ES.
Conclusion
Current evidence suggests that learning outcomes are predicted by previous academic achievement and aptitude tests. The predictive value of SJT and topics such as selection algorithms, features of interview (e.g., content of the questions) and the way the interviewers’ reports are used, warrant further research.

Citations

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Predictive Validity of Pre-Clinical Academic Achievements in Comprehensive Basic Science Examination: A Nationwide Cohort of Iranian Medical Students
Farhang Rashidi, Reza Sattarpour, Alipasha Meysamie
Advances in Medical Education and Practice.2025; Volume 16: 1747. CrossRef
Notice of Retraction and Replacement: Insights into undergraduate medical student selection tools: a systematic review and meta-analysis
Pin-Hsiang Huang, Arash Arianpoor, Silas Taylor, Jenzel Gonzales, Boaz Shulruf
Journal of Educational Evaluation for Health Professions.2024; 21: 41. CrossRef

Research article

Medical student selection process enhanced by improving selection algorithms and changing the focus of interviews in Australia: a descriptive study: Boaz Shulruf, Gary Mayer Velan, Sean Edward Kennedy; J Educ Eval Health Prof. 2022;19:31. Published online November 28, 2022; DOI: https://doi.org/10.3352/jeehp.2022.19.31

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Abstract PDF Supplementary Material

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.

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Creating Medical Education Enhancement Training for Medical Students
Betty S. Chan, Marian Lee, Lucy S. R. Jo, Boaz Shulruf, Adrienne Torda
The Clinical Teacher.2026;[Epub] CrossRef
Medical student selection interviews: insights into nonverbal observable communications: a cross-sectional study
Pin-Hsiang Huang, Kang-Chen Fan, Alexander Waits, Boaz Shulruf, Yi-Fang Chuang
Korean Journal of Medical Education.2025; 37(2): 153. CrossRef
Insights into undergraduate medical student selection tools: a systematic review and meta-analysis
Pin-Hsiang Huang, Arash Arianpoor, Silas Taylor, Jenzel Gonzales, Boaz Shulruf
Journal of Educational Evaluation for Health Professions.2024; 21: 22. CrossRef

Reviews

History of the medical education accreditation system in Korea: implementation and activities in the early stages: Kwang-ho Meng; J Educ Eval Health Prof. 2020;17:29. Published online October 21, 2020; DOI: https://doi.org/10.3352/jeehp.2020.17.29

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Following the opening of 12 new medical schools in Korea in the 1980s, standardization and accreditation of medical schools came to the forefront in the early 1990s. To address the medical community’s concerns about the quality of medical education, the Korean Council for University Education and Ministry of Education conducted a compulsory medical school evaluation in 1996 to see whether medical schools were meeting academic standards or not. This evaluation was, however, a norm-referenced assessment, rather than a criterion-referenced assessment. As a result, the Accreditation Board for Medical Education in Korea (ABMEK) was founded in 1998 as a voluntary organization by the medical community. With full support of the Korean medical community, ABMEK completed its 1st cycle of evaluations of all 41 medical schools from 2000 to 2004. In 2004, ABMEK changed its name to the Korean Institute of Medical Education and Evaluation (KIMEE) as a corporate body. After that, the Korean government paid closer attention to its voluntary accreditation activities. In 2014, the Ministry of Education officially recognized the KIMEE as the 1st professional institute for higher education evaluation accreditation. The most important lesson learned from ABMEK/KIMEE is the importance of collaboration among all medical education-related organizations, including the Korean Medical Association.

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Changes in the accreditation standards of medical schools by the Korean Institute of Medical Education and Evaluation from 2000 to 2019: Hyo Hyun Yoo, Mi Kyung Kim, Yoo Sang Yoon, Keun Mi Lee, Jong Hun Lee, Seung-Jae Hong, Jung –Sik Huh, Won Kyun Park; J Educ Eval Health Prof. 2020;17:2. Published online April 7, 2020; DOI: https://doi.org/10.3352/jeehp.2020.17.2

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This review presents information on changes in the accreditation standards of medical schools in Korea by the Korean Institute of Medical Education and Evaluation (KIMEE) from 2000 to 2019. Specifically, the following aspects are explained: the development process, setting principles and directions, evaluation items, characteristics of the standards, and validity testing over the course of 4 cycles. The first cycle of accreditation (2000–2005) focused on ensuring the minimum requirements for the educational environment. The evaluation criteria emphasized the core elements of medical education, including facilities and human resources. The second cycle of accreditation (2007–2010) emphasized universities’ commitment to social accountability and the pursuit of excellence in medical education. It raised the importance of qualitative standards for judging the content and quality of education. In the post-second accreditation cycle (2012–2018) which means third accreditation cycle, accreditation criteria were developed to standardize the educational environment and programs and to be used for curriculum development in order to continually improve the quality of basic medical education. Most recently, the ASK 2019 (Accreditation Standards of KIMEE 2019) accreditation cycle focused on qualitative evaluations in accordance with the World Federation of Medical Education’s accreditation criteria to reach the international level of basic medical education, which emphasizes the need for a student-centered curriculum, communication with society, and evaluation through a comprehensive basic medical education course. The KIMEE has developed a basic medical education evaluation and accreditation system in a step-by-step manner, as outlined above. Understanding previous processes will be helpful for the future development of accreditation criteria for medical schools in Korea.

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Yoonjung Lee, Min-jung Lee, Junmoo Ahn, Chungwon Ha, Ye Ji Kang, Cheol Woong Jung, Dong-Mi Yoo, Jihye Yu, Seung-Hee Lee
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Brief Report

Changing medical students’ perception of the evaluation culture: Is it possible?: Jorie M. Colbert-Getz, Steven Baumann; J Educ Eval Health Prof. 2016;13:8. Published online February 15, 2016; DOI: https://doi.org/10.3352/jeehp.2016.13.8

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Abstract PDF

Student feedback is a critical component of the teacher-learner cycle. However, there is not a gold standard course or clerkship evaluation form and limited research on the impact of changing the evaluation process. Results from a focus group and pre-implementation feedback survey coupled with best practices in survey design were used to improve all course/clerkship evaluation for academic year 2013-2014. In spring 2014 we asked all subjected students in University of Utah School of Medicine, United States of America to complete the same feedback survey (post-implementation survey). We assessed the evaluation climate with 3 measures on the feedback survey: overall satisfaction with the evaluation process; time students gave effort to the process; and time students used shortcuts. Scores from these measures were compared between 2013 and 2014 with Mann-Whitney U-tests. Response rates were 79% (254) for 2013 and 52% (179) for 2014. Students’ overall satisfaction score were significantly higher (more positive) post-implementation compared to pre-implementation (P<0.001). There was no change in the amount of time students gave effort to completing evaluations (P=0.981) and no change for the amount of time they used shortcuts to complete evaluations (P=0.956). We were able to change overall satisfaction with the medical school evaluation culture, but there was no change in the amount of time students gave effort to completing evaluations and times they used shortcuts to complete evaluations. To ensure accurate evaluation results we will need to focus our efforts on time needed to complete course evaluations across all four years.

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Ashok Ninan Oommen, Ronnie Thomas, Shyama Sasidharan, Srikanth Muraleedhar, Unnikishnan Uttumadathil Gopinathan, Rejana Rachel Joy, Yadu Krishnan Girish Babu
Journal of Medical Education Development.2024; 17(55): 10. CrossRef
Benefits of focus group discussions beyond online surveys in course evaluations by medical students in the United States: a qualitative study
Katharina Brandl, Soniya V. Rabadia, Alexander Chang, Jess Mandel
Journal of Educational Evaluation for Health Professions.2018; 15: 25. CrossRef

Technical Report

Reforms of the Korean Medical Licensing Examination regarding item development and performance evaluation: Mi Kyoung Yim; J Educ Eval Health Prof. 2015;12:6. Published online March 17, 2015; DOI: https://doi.org/10.3352/jeehp.2015.12.6

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Purpose
The Korean Medical Licensing Examination (KMLE) has undergone a variety of innovative reforms implemented by the National Health Personnel Licensing Examination Board (NHPLEB) in order to make it a competency-based test. The purpose of this article is to describe the ways in which the KMLE has been reformed and the effect of those innovations on medical education in Korea. Methods: Changes in the KMLE were traced from 1994 to 2014 by reviewing the adoption of new policies by the NHPLEB and the relevant literature. Results: The most important reforms that turned the examination into a competency-based test were the following: First, the subjects tested on the exam were revised; second, R-type items were introduced; third, the proportion of items involving problem-solving skills was increased; and fourth, a clinical skills test was introduced in addition to the written test. The literature shows that the above reforms have resulted in more rigorous licensure standards and have improved the educational environment of medical schools in Korea. Conclusion: The reforms of the KMLE have led to improvements in how the competency of examinees is evaluated, as well as improvements in the educational system in medical schools in Korea.

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Research Articles

Exploration of examinees’ traits that affect the score of Korean Medical Licensing Examination: Mi Kyoung Yim; J Educ Eval Health Prof. 2015;12:5. Published online March 16, 2015; DOI: https://doi.org/10.3352/jeehp.2015.12.5

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Abstract PDF

Purpose
It aims to identify the effect of five variables to score of the Korean Medical Licensing Examinations (KMLE) for three consecutive years from 2011 to 2013.
Methods
The number of examinees for each examination was 3,364 in 2011 3,177 in 2012, and 3,287 in 2013. Five characteristics of examinees were set as variables: gender, age, graduation status, written test result (pass or fail), and city of medical school. A regression model was established, with the score of a written test as a dependent variable and with examinees’ traits as variables.
Results
The regression coefficients in all variables, except the city of medical school, were statistically significant. The variable’s effect in three examinations appeared in the following order: result of written test, graduation status, age, gender, and city of medical school.
Conclusion
written test scores of the KMLE revealed that female students, younger examinees, and first-time examinees had higher performances.

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Students’ perception of the learning environment at Xavier University School of Medicine, Aruba: P. Ravi Shankar, Arun K Dubey, Ramanan Balasubramanium; J Educ Eval Health Prof. 2013;10:8. Published online September 30, 2013; DOI: https://doi.org/10.3352/jeehp.2013.10.8

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