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논문 기본 정보

자료유형
학술저널
저자정보
Yun Je-Yeon (Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea.Yeongeon Student Support Center, Seoul National University College of Medicine, Seoul, Korea.) Ryu Hyunjin (Office of Medical Education, Seoul National University College of Medicine, Seoul, Korea.) Kim Ju Whi (Office of Medical Education, Seoul National University College of Medicine, Seoul, Korea.) Yoon Hyun Bae (Office of Medical Education, Seoul National University College of Medicine, Seoul, Korea.) Choi Seung (Department of Educational Psychology, College of Education, University of Texas at Austin, TX, USA.) Park Wan Beom (Office of Medical Education, Seoul National University College of Medicine, Seoul, Korea.Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.) Bae Eun Jung (Department of Pediatrics, Seoul National University Children’s Hospital, Seoul, Korea.Department of Pediatrics, Seoul National University School of Medicine, Seoul, Korea.) Yim Jae-Joon (Office of Medical Education, Seoul National University College of Medicine, Seoul, Korea.Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Korea.) Myung Sun Jung (Office of Medical Education, Seoul National University College of Medicine, Seoul, Korea.)
저널정보
대한의학회 Journal of Korean Medical Science Journal of Korean Medical Science Vol.39 No.33
발행연도
2024.8
수록면
1 - 12 (12page)
DOI
10.3346/jkms.2024.39.e239

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Background: Developmental trajectories of clinical skills in training physicians vary among tasks and show interindividual differences. This study examined the predictors of medical internship performance and residency entrance and found subtypes of performance trajectory in training physicians. Methods: This retrospective cohort study involved 888 training physicians who completed a medical internship between 2015 and 2019. After the internship, 627 physicians applied for residency training between 2016 and 2020. Finally, 160 of them completed their first-year residency in internal medicine, surgery, pediatrics, and psychiatry departments between 2016 and 2020. Pearson’s correlation coefficients of internship performance and first year-residency performance (n = 160) were calculated. Latent profile analysis identified performance trajectory subtypes according to medical school grade point average (GPA), internship performance, English proficiency, and residency selection procedures. Multivariate logistic regression models of residency acceptance (n = 627) and performance in the top 30%/lower 10% in the first year of residency were also constructed. Results: Medical internship performance showed a significant positive correlation with the medical school GPA (r = 0.194) and the written score for the medical licensing examination (r = 0.125). Higher scores in the interview (adjusted odds ratio [aOR], 2.57) and written examination (aOR, 1.45) of residency selection procedures and higher medical internship performance (aOR, 1.19) were associated with a higher chance of residency acceptance. The latent profile analyses identified three training physician subgroups: average performance, consistently high performance (top 30%), and adaptation to changes (lowest 10%). Higher scores in the interview for residency selection (aOR, 1.35) and lower scores for medical internship performance (aOR, 0.79) were associated with a higher chance of performing in the top 30% or lowest 10% in the first year of residency, respectively. Conclusion: Performance in the interview and medical internship predicted being among the top 30% and lowest 10% of performers in the first year of residency training, respectively. Individualized educational programs to enhance the prospect of trainees becoming highfunctioning physicians are needed.
#Graduate Medical Education Training #Medical Internship #First Year of Medical Residency #Workplace-Based Assessment #Latent Profile Analysis #Multivariate Logistic Regression

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