Abstract
Context
The Japan Residency Matching Program (JRMP) launched in 2003 and is now a significant event for graduating medical students and postgraduate residency hospitals. The environment surrounding JRMP changed due to Japanese health policy, resulting in an increase in the number of unsuccessfully-matched students in the JRMP. Beyond policy issues, we suspected there were also common characteristics among the students who do not get a match with residency hospitals.
Methods
In total 237 out of 321 students at The University of Tokyo Faculty of Medicine graduates from 2018 to 2020 participated in the study. The students answered to the questionnaire and gave written consent for using their personal information including the JRMP placement, scores of the pre-clinical clerkship (CC) Objective Structured Clinical Examinations (OSCE), the Computer-Based Test (CBT), the National Board Examination (NBE), and domestic scores for this study. The collected data were statistically analyzed.
Results
The JRMP placements were correlated with some of the pre-CC OSCE factors/stations and/or total scores/global scores. Above all, the result of neurological examination station had most significant correlation between the JRMP placements. On the other hand, the CBT result had no correlation with the JRMP results. The CBT results had significant correlation between the NBE results.
Conclusions
Our data suggest that the pre-clinical clerkship OSCE score and the CBT score, both undertaken before the clinical clerkship, predict important outcomes including the JRMP and the NBE. These results also suggest that the educational resources should be intensively put on those who did not make good scores in the pre-clinical clerkship OSCE and the CBT to avoid the failure in the JRMP and the NBE.
Introduction
Objective structured clinical examinations (OSCE) [1] have been used worldwide for decades and are currently used to assess medical students in more than 100 countries. In Japan, all medical schools and faculties of medicine in universities use a pre-clinical clerkship (CC) OSCE [2] as one of examinations for promotion to CC together with the Computer-Based Test (CBT), which is another assessment of medical knowledge applied before CC.
Following worldwide trends to assess clinical competence just before graduation, the post-CC OSCE has just started in almost all medical schools in Japan as an examination for graduation. Apart from the post-CC OSCE, graduates must pass the national board examination (NBE), which in Japan is based on a marksheet test, evaluating only medical knowledge. Doctor of Medicine is awarded to those who completed a 6-year course in a university faculty of medicine or medical college after high school graduation in Japan.
In most cases medical students take the pre-CC OSCE and CBT in their fourth grade, and usually they need to pass both assessments to proceed to CC. The pre-CC OSCE is provided by a Public Interest Incorporated Association, Common Achievement Tests Organization (CATO) and includes nine stations: (1) medical interview; (2) basic life support; (3) basic medical procedure; physical examinations of (4) head and neck, (5) chest, (6) vital signs, (7) abdomen, and (8) limb and spines; and (9) neurological examinations. Among these stations, (1), (2) or (3), (4), (5) or (6), (7), and (9) are compulsory. The CBT is also provided by CATO. It consists of 248 questions, randomly selected for individuals from about thirty thousand of pooled questions. On the other hand, the NBE is provided by The Ministry of Health, Labour, and Welfare. Medical students in their last year and those who have graduated from medical school or a university faculty of medicine take the NBE to get their doctor’s license. This examination is administered over 2 days, as marksheets with 400 questions. A hundred questions are “essential,” requiring at least 80% correct for qualification. In Spring 2020, 10,462 students applied for the examination and 9341 of them passed it.
In the University of Tokyo (UTokyo) Faculty of Medicine, the medical students take general academic subjects in the first one and half years. After that the students take basic medical science such as biochemistry, physiology for one and half year, until the end of the third grade. In the fourth-grade students take clinical medicine and physical examination. They proceed to CC after the success of Pre-CC OSCE and CBT. In the UTokyo, the pre-CC OSCE has six stations: (1) medical interview; either (2) basic life support or (3) basic medical procedure; physical examinations of (4) head and neck, either (5) chest or (6) vital signs, (7) abdomen; and (9) neurological examinations (Table 1). Checklists assessing concern for patients (about 10 checklists) and the examination process (about 20 checklists) are scored point by point and a global score (GS, best = 6, worst = 1) are calculated for each OSCE. A “pass” is given to those who get 60% or higher on the checklists and 3.0 or higher on the GS. The students also take the post-CC OSCE, which is uniquely produced by the UTokyo, just before graduation, a process that started in 2016. There are several stations; two or three clinical scenarios (randomly assigned from six scenarios) and two basic procedures. Checklists of clinical reasoning and GS (best = 6, worst = 1) are used to score the post-CC OSCE. Students with 3.0 and higher at each station qualify for graduation.
Table 1.
Assessment Factors | Concerns/Processes | Skills/Contents | Total Score | Global Score | |
---|---|---|---|---|---|
Medical Interview | N/A | N/A | ○ | ○ | |
Physical Examinations | Head & Neck | ○ | ○ | ○ | ○ |
Chesta | ○ | ○ | ○ | ○ | |
Vitala | ○ | ○ | ○ | ○ | |
Abdomen | ○ | ○ | ○ | ○ | |
Neurological examinations | ○ | ○ | ○ | ○ | |
Basic Life Support | N/A | N/A | ○ | ○ |
a either selected yearly
So far, the NBE has been well studied and shown to have a significant correlation with CBT [3]. In contrast, although there is a vast body of literature about the method of OSCE itself–its merits, drawbacks, and limitations [4–6] –current studies on the predictive validity of OSCE, both pre-CC and post-CC, are not sufficient [7]. And as such, using Messick’s unified validity framework [8] as the conceptual theory supporting the pre-CC and post-CC OSCEs, we examine validity evidence targeting relations to other variables and consequences that address predictive association. Gathering validity evidence relating to these predictive aspects of the pre-CC and post-CC OSCEs would support the types of inference and use made with their scores, motivating the need for this study.
On the other hand, the residency matching program in Japan [9] started in 2003. The Japan Residency Matching Program (JRMP) provides both medical students expecting graduation or graduates and training hospitals a matching system. In this system, the applicants for resident (students expecting graduation or graduates) and training hospitals are optimally matched by a specific computed algorithm. The training hospital recruit medical students in the last year or graduates according to their original criteria, usually by the score of paper tests like the NBE and/or an essay, and interviews. In Autumn 2019, 10,075 students and 1020 training hospitals (1363 training programs) joined this program. With the algorithm, 9042 students matched a training hospital, while 742 students did not get a match and had to look for training hospitals with vacant trainee positions by themselves.
About 90–95% of the applicants are matched every year and applicants without a match must find training hospitals by themselves. So, far, the ratio of hospital capacity to applicants has been about 1.2, however the Ministry of Health, Labour and Welfare aims to lower the ratio to 1.05. For hospitals in metropolitan areas, the capacity will be compressed more than ever than before in order to distribute training doctors to rural regions. Because of this we expect the number of students or graduates with unsuccessful matches will increase soon.
The result of matching between medical students and a residency program is regarded as an important educational outcome [10, 11]. Chakraborti and colleague tried to assess the educational quality of medical training quantitatively by using a match quality score [10]. Chang et al. developed a novel evaluation method of undergraduate medical education [11]. These results suggest that the success of matching medical students and residency hospitals is regarded as an important educational outcome. Medical schools will be obliged to analyze the result of the matching and develop programs to avoid unsuccessful matches.
Needless to say, an unsuccessful match is a big burden for students. Unsuccessful matches are beginning to be a concern in North America as well; however, there are a few studies with statistics analyzing unsuccessful matches and establishing educational strategy [12], nor the studies investigating the factors involved in unsuccessful matches [13]. Studies show that in Canada students apply for twenty residency programs in average until they are matched [14, 15].
Moreover, although not many literatures pointing out that daily life such as meals, sleep, self-studying time, part-time jobs and club activities, correlates with examination marks, there are some international and domestic literatures that point out that lack of breakfast and sleep disorder are significantly correlated with low examination results [16, 17].
The predictive relationships between pre-CC and post-CC OSCEs with JRMP and NBE results would provide meaningful information on their use. Our work hypothesizes relationships between the pre-CC OSCE result and JRMP results, and between the post-CC OSCE and the NBE results. Moreover, we also suspected that daily life may influence their scores and these important educational outcomes. To prove these hypotheses, we planned this investigation.
Methods
Ethical approval No.11637 was given by the ethical committee of The UTokyo Faculty of Medicine. All the methods were performed in accordance with the relevant guidelines and regulations.
Sample population
Students at The UTokyo Faculty of Medicine answered a questionnaire about daily activities such as commuting hours, meals, sleep, self-study hours and part-time job hours after giving their written consent to participate. Their scores on official domestic examinations (pre- and post-CC OSCEs and CBT) and related personal data were collected with their written consents and kept in the university affairs system, with permission of the ethical committee of The UTokyo (No. 11637). In total, 237 out of 321 students participated in this study. The fundamental data, including information about 2018, 2019, and 2020 graduates, are shown in Table 2, Tables 3, and 4.
Table 2.
Japan Residency Matching Program (JRMP) and national board examination (NBE) results | ||||
---|---|---|---|---|
Graduation year | 2018 | 2019 | 2020 | |
Number of graduates | *1 | 106 | 115 | 100 |
NBE pass | *1 | 98 | 106 | 96 |
NBE fail | *1 | 8 | 9 | 4 |
JRMP match | *2 | 53 | 72 | 68 |
JRMP unmatch | *2 | 5 | 8 | 0 |
JRMP unknown | *2 | 11 | 5 | 9 |
NBE pass ratio | *1 | 92.5 | 92.2 | 96.0 |
*1: officially announced
*2: students with consents only
Table 3.
Graduation year | 2018 (n = 69) | 2019 (n = 85) | 2020 (n = 83) | Tests |
---|---|---|---|---|
CBT score (%) | 81.1 ± 1.12 | 77.4 ± 1.25 | 80.8 ± 1.10 |
Tukey–Kramer p > 0.05 |
CBT-IRT | 549 ± 14.1 | 505 ± 13.0 | 546 ± 11.8 |
Tukey–Kramer p > 0.05 |
Pre-CC OSCE total score by factor (%) | 86.5 ± 0.662 | 86.9 ± 0.594 | 87.7 ± 0.432 |
Steel–Dwass p > 0.05 |
Pre-CC OSCE global score (6 full) | 4.50 ± 0.0559 | 4.42 ± 0.0470 | 4.43 ± 0.0437 |
Tukey–Kramer p > 0.05 |
NBE pass ratio (%) | 94.2 | 91.0 | 96.4 |
Chi Fisher test p > 0.05 |
Mean ± SD
Table 4.
Graduation | 2018 (n = 58) | 2019 (n = 80) | 2020 (n = 74) | Chi Fisher test |
---|---|---|---|---|
JRMP match ratio (%) | 91.4 | 90.0 | 91.0 | P > 0.05 |
Examinations
Table 1 shows the evaluation factors of the pre-CC OSCE at The Tokyo. The pre-CC OSCE was administered as below, with six stations, in the autumn of fourth year.
The CBT was performed by CATO, again in the autumn of fourth year at The Tokyo. Each student was given 248 questions randomly selected from a large pool of questions.
The post-CC OSCE was administered as a graduation examination for sixth-year students, in early winter. Each student completed six examinations of clinical scenarios and two skill performance examinations.
Data analysis
The answers to the questionnaires, the examination scores (pre- and post-CC OSCEs, CBT, the JRMP results and the NBE) were analyzed with JMP version 14.0 (SAS Institute, N.C., USA) and SPSS version 26 (IBM Corp., Armonk, N.Y., USA) software. The statistic method used for each analysis depended on the characteristics of the population. The cut-off for the odds ratio was determined at the maximum area under the receiver operating characteristic curve.
Results
Comparison with Japan residency matching program (JRMP) unmatched versus matched
We first analyzed two-group comparison of each factor (station) of the pre-CC OSCE between students who were successfully matched through JRMP and those who were unmatched. As shown in Table 5, some of the pre-CC OSCE factors (stations) and/or total scores/GS had significant relationships with JRMP results. The elements that evaluate sympathy and communications with patients had stronger relationships with JRMP results of being matched or unmatched. On the other hand, the elements that evaluate skills and knowledge did not have a significant relationship between JRMP results of being matched or unmatched.
Table 5.
OSCE factors/station | JRMP Match (mean ± SE) | JRMP Unmatch (mean ± SE) | P-value | cut-off | Odds ratio | 95% CI |
---|---|---|---|---|---|---|
Neuro_Score_CP | 93.3 ± 0.681 | 80.5 ± 4.44 | 0.0003*1 | 92.6 | 7.07 | 1.99–25.1 |
Total_Score_CP | 95.0 ± 0.369 | 89.5 ± 2.33 | 0.0075*1 | 91.1 | 5.02 | 1.90–13.3 |
Neuro_Score_Sum | 86.2 ± 0.668 | 79.3 ± 2.96 | 0.0134*1 | 88.3 | 4.38 | 1.24–15.5 |
Total_GS | 4.46 ± 0.0304 | 4.22 ± 0.103 | 0.0205*1 | 4.58 | 3.70 | 1.04–13.2 |
Total_Score_Sum | 87.2 ± 0.359 | 84.5 ± 1.18 | 0.0265*2 | 90.1 | 8.52 | 1.11–65.3 |
Neuro_GS | 4.50 ± 0.0562 | 4.10 ± 0.193 | 0.0323*2 | 4.00 | (2.40)*3 | 0.79–7.24 |
CBT-IRT (as a reference) |
535 ± 8.36 | 490 ± 22.1 | 0.1071 | – | – | – |
Abbreviations: CP Concerns and process, NE Neurological examinations, HN Head and neck, GS Global scores, SC Skills and contents, VS Vital signs, HN Head and neck
*1: Wilcoxon/Steel–Dwass test
*2: Student/Tukey–Kramer test
*3: p > 0.05 on Fisher’s test
Among the six stations (medical interview, head and neck, chest/vital sings, abdomen, neural examination, and basic life support), results of the neurological examination station had significant correlation with the JRMP result (Table 5). Additionally, the “concerns and process” (CP) factor, which evaluates the consideration for the patients, also had significant correlation with the JRMP result (p = 0.0075). The neurological examination station had significant correlation with JRMP results, GS, total score, and CP factor score (p = 0.0323, 0.0134, and 0.0003). This characteristic was not seen in any other stations. The whole pre-CC OSCE score (total score and GS) also had strong correlation with JRMP results (p = 0.0265 and 0.0205). On the other hand, stations for examining vital signs, abdomen, chest, and the “skills and contents” (SC) factor did not have significant correlation with JRMP results. Additionally, the CBT score did not have a correlation between JRMP placement being matched or unmatched.
We also checked the relationship between the background of the students and JRMP results. The students who graduated public (not national) high school had lower JRMP placement rates than the students who graduated private or national high school (odds ratio 4.542). Importantly, students who were promoted to medical school through a separate screening process after admission received significantly higher scores and JRMP placement rates than students who were directly admitted to medical school (odds ratio 1.6762). Daily activities such as commuting hours, meals, sleep, self-study hours and part-time job hours did not have a significant correlation between JRMP results (data not shown).
Comparison with national board examination (NBE) pass or fail
We investigated the correlation between CBT, pre-CC OSCE scores, and NBE results (Table 6). In contrast to the correlations between these scores and JRMP results, CBT scores had significant correlation with NBE results (p < 0.0001, odds ratio infinite). Also, in contrast to JRMP placement, as for pre-CC OSCE results, the total SC factor, which did not have significant correlation between JRMP placements, had remarkable correlation with NBE results. Other factors such as total score, total GS, the total CP factor, head and neck examination and vital examination stations of the pre-CC OSCE also had significant correlation with NBE results. The daily activities, commuting hours, meals, sleep, self-studying hours and part-time job hours, did not have significant correlation with NBE results (data not shown). However, those who did not pass the NBE had a higher frequency of not having a morning meal. Surprisingly, the repetition did not have a correlation with NBE placement (data not shown).
Table 6.
NBE pass (mean ± SD) |
NBE fail (mean ± SD) |
P-value | cut-off | Odds ratio | 95% CI | |
---|---|---|---|---|---|---|
CBT scores: % | 80.8 ± 0.644 | 61.7 ± 2.57 | < 0.0001*2 | 74.19 | ∞ | |
CBT-IRT | 545 ± 7.23 | 357 ± 17.0 | < 0.0001*1 | 433.0 | ∞ | |
OSCE Total_Score_Sum | 87.3 ± 0.318 | 83.2 ± 1.92 | 0.0261*1 | 83.69 | 5.27 | 1.74–16.0 |
OSCE Total_GS | 4.46 ± 0.0286 | 4.22 ± 0.114 | 0.0401*2 | 4.583 | 4.13 | 0.90–18.9 |
OSCE Total_Score_SC | 85.7 ± 0.438 | 80.2 ± 2.87 | 0.0628*1 | 81.05 | 4.73 | 1.57–14.3 |
OSCE Total_Score_CP | 94.9 ± 0.371 | 91.3 ± 2.08 | 0.0318*1 | 92.86 | 4.19 | 1.53–13.0 |
OSCE Vital_Score_CP | 94.3 ± 0.671 | 89.3 ± 2.86 | 0.0873*2 | (85.71) | 4.58 | 1.07–19.5 |
OSCE Vital_Score_SC | 87.50 | (6.35) | 0.76–53.0 | |||
OSCE Vital_Score_Sum | 66.67 | 11.83 | 2.34–59.8 | |||
OSCE HN_Score_SC | 89.6 ± 0.605 | 83.9 ± 2.41 | 0.0242*2 | 90.00 | 4.35 | 1.18–16.0 |
OSCE HN_Score_Sum | 91.3 ± 0.486 | 86.5 ± 1.94 | 0.0164*2 | 90.74 | 4.47 | 1.36–14.7 |
OSCE Neuro_Score_Sum | 86.2 ± 0.646 | 80.9 ± 2.58 | 0.0497*2 | (76.67) | 4.83 | 1.56–14.9 |
Abbreviations: CP, concerns and process; NE, neurological examinations; HN, head and neck; GS, global scores; SC, skills and contents; VS, vital signs; HN, head and neck
*1: Wilcoxon/Steel–Dwass test
*2: Student/Tukey–Kramer test
Comparison between domestic tests, JRMP placement, and NBE results
The result of the domestic post-CC OSCE had strong correlation with NBE results (p < 0.0001) (Table 7). Compared to the whole post-CC OSCE that included skills tests, the post-CC OSCE with clinical scenarios had a higher correlation with NBE results. On the other hand, the correlation of post-CC OSCE between JRMP matched or unmatched was not as high as between CBT. The global scores of CCs in the sixth year also had a relationship between JRMP and NBE results, however, the global scores of CCs in the fifth year had no relationship between them (data not shown).
Table 7.
JRMP (n = 212) | NBE (n = 237) | |||||
---|---|---|---|---|---|---|
Match (mean ± SD) |
Unmatch (mean ± SD) | p-value* | Pass (mean ± SD) |
Fail (mean ± SD) |
p-value* | |
Post-CC OSCE (clinical) GS | 4.40 ± 0.0500 | 4.13 ± 0.167 | 0.140 | 4.46 ± 0.0429 | 3.27 ± 0.155 | < 0.0001 |
Post-CC OSCE (clinical & skills) GS | 4.39 ± 0.0606 | 4.06 ± 0.139 | 0.0344 | 4.41 ± 0.0386 | 3.56 ± 0.385 | 0.0002 |
* Student’s t-test
Comparison between daily life and pre-CC OSCE, CBT, JRMP placement, post-CC OSCE and NBE results
We also analyzed whether daily life factors, such as daily activities such as commuting hours, meals, sleep, self-study hours and part-time job hours, are correlated with test scores as above. In this study we did not find significant correlation between these daily life factors and the scores of pre-CC OSCE, CBT, JRMP, post-CC OSCE and NBE results.
Discussion
Main findings and interpretation
The most important finding of this investigation is that the placement through JRMP, an established Japanese residency matching, has significant correlation with the validations of the pre-CC OSCE, thereby supporting the validity evidence of the assessment.
The JRMP launched in 2003. This system has changed the environment of Japanese residency, from university-hospital-based residency to predominantly community hospitals, presumably because in the community hospitals residents can practice more than in university hospitals. However, it has a systematic defect; as many medical students can freely select a hospital unrelated to their university, the top community hospitals, most of which are located in the metropolitan and urban areas, collect a lot of excellent students. As a result, hospitals in the areas suffer from lack of residents. On the other hand, as these top community hospitals have higher rates for application than the other hospitals, some students are unsuccessful in the JRMP. As The Ministry of Health, Labour and Welfare intends to limit the residency in the metropolitan and urban areas, the number of students who are unsuccessful at getting a match through JRMP will certainly increase in the near future [18].
It is rather surprising that the scores of the pre-CC OSCE and JRMP placements have significant correlation with each other and that it depends on the stations and evaluation items of the pre-CC OSCE. The points are 1) the CP evaluation item has higher correlation with the JRMP result than SC, and 2) the scores of the neurological examination, and head and neck stations have higher correlation between JRMP results than the other stations, in almost all items of the evaluation. On the other hand, the SC of the pre-CC OSCE did not have significant correlation with the JRMP results. Additionally, scores of some stations such as abdomen examination and vital examination did not have significant correlation between the JRMP results.
The result that the score of the neurological examination station significantly correlated to JRMP also suggests that the quality of examiners is excellent. In the pre-CC OSCE of The UTokyo the examiners for each station are selected by consulting each division; neurologists, neurosurgeons, and orthopedists usually take charge of the evaluation of neurological examination station. There is discussion about the training of examiners: some argue that training the examiners is not useful in raising the reliability of the evaluation [19, 20], while others argue that training the examiners ahead of the examination is useful [21]. It is not appropriate to decide which is exactly correct, but we could say that the basic clinical knowledge, skills, and experiences as an examiner will contribute to raise the quality of the evaluation of OSCE. This also suggests that the questionnaire of the neurological examination is well designed for evaluating not only the skills of neurological examination but also communication skills as well. This is due to the questionnaire at the neurological examination station being more difficult and complicated than the other stations In the detail, the neurological examination contains examinations around the face of the patients, such as cranial nerves, which needs more careful attention and more sufficient explanation to the patient.
There have been no published studies about the correlation between JRMP placement and scores, including official high-stakes examinations and daily evaluations of CCs of each medical school. The recruitment criteria of the residency hospitals, including university hospitals and other residency hospitals, depend on each institution. We estimate this reason as below: 1) the evaluation items of the CP factor of the pre-CC OSCE well evaluate the communication skills of each student to some extent, and 2) in their recruitment of residents, the residency hospitals consider communication skills to be of great importance.
In this study we did not find significant correlation between daily life and examination/JRMP results. However, we found some tendency that too much part-time job hours and too much club activities lower the NBE result (data not shown). To clarify this, we need more participants into this study.
In general, the recruitment examinations of Japanese residency hospitals include paper tests on medical knowledge and/or an essay, and face-to face interviews, depending on each institution. These tests evaluate the medical knowledge, the communication skills and sometimes medical skills of each applicant. Whether performed face-to-face or by video, an interview is inevitable for evaluating professionalism, interpersonal, and communication skills [22–24]. In this viewpoint, the fact that the JRMP placement and the NBE placement do not correlate with each other is very intriguing and may be related to the situation in other countries [25]. In 2007, Peskun and Shandling have reported that in Canada, residency ranking in internal medicine and family medicine is significantly correlated with second year OSCE and undergraduate grade point average [26]. We speculate that their work supports our result. We suggest that as in the JRMP selection, the employers may evaluate the applicant on attitudes such as cooperativeness, honesty, and positivity as well as the score itself.
Limitations
This research has some limitations; one is that the quantitative limit of the number of participants. The participants were 237 students of The UTokyo. We need more participants to increase the importance and validity of this study. Second, this study has been undertaken only in one institute. We are now planning to widen this study to multiple institutions.
Another limitation is that this study only investigated the scores of grades fourth-, fifth-, and sixth-year medical students. To raise the certainty of the whole study, we need to widen this study to lower and higher ages. In Japan the common evaluation system of medical competency throughout, before and after graduation of medical school is now being developed (EPOC2) [27]. In the near future EPOC2 may serve as one of the evaluation methods of medical competency.
Conclusions
Our results show that the result of high-stakes examination before the CC, the pre-CC OSCE has a significant relationship with JRMP, the residency matching program in Japan. In order to achieve good educational outcomes such as high JRMP matching rates as well as NBE results, we should focus on pre-CC OSCE results and put more educational resources on those who did not achieve good scores on their pre-CC OSCE, especially in the medical interview and neurological examination stations.
Acknowledgements
We appreciate the students graduated from The UTokyo Faculty of Medicine, who took part in this study. We also appreciate the staff in The UTokyo Faculty of Medicine. We have no conflict of interest regarding this study.
S.H. received a grant provided by Japan Medical Education Foundation.
We sincerely thank the editors at Crimson Interactive (www.enago.com) for diligently editing this manuscript for English language.
Authors’ contributions
S. H, Y-S.P., D.S. and M.E. designed the whole research. S.H., Y-S.P., and D.S. analyzed the data. S.H. wrote the manuscript and prepared table. All authors reviewed the manuscript. The authors read and approved the final manuscript.
Funding
S.H. received the grant provided by Japan Medical Education Foundation.
Availability of data and materials
All data are kept in an available format in a secure cloud provided by The UTokyo.
Ethics approval and consent to participate
Ethical approval No.11637 was given by the ethical committee of The UTokyo Faculty of Medicine.
All experimental protocols were approved by the ethical committee of The UTokyo (No. 11637).
All methods were carried out in accordance with relevant guidelines and regulations.
Informed consent was obtained from all subjects.
Consent for publication
Consent for publication was given by each participant coincident with consent to participate in this study.
Competing interests
Not applicable.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Harden RM, Stevenson M, Downie WW, Wilson GM. Assessment of clinical competence using objective structured examination. Br Med J. 1975;1(5955):447–451. doi: 10.1136/bmj.1.5955.447. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Teo A. The current state of medical education in Japan: a system under reform. Med Educ. 2007;41(3):302–308. doi: 10.1111/j.1365-2929.2007.02691.x. [DOI] [PubMed] [Google Scholar]
- 3.Nakatani H. Medical education in Japan and national medical practitioner examination. Igaku-Kyoiku. 2015;46(1):14–17. [Google Scholar]
- 4.Norcini J, Boulet J. Methodological issues in the use of standardized patients for assessment. Teach Learn Med. 2003;15(4):293–297. doi: 10.1207/S15328015TLM1504_12. [DOI] [PubMed] [Google Scholar]
- 5.Varkey P, Natt N, Lesnick T, Downing S, Yudkowsky R. Validity evidence for an OSCE to assess competency in systems-based practice and practice-based learning and improvement: a preliminary investigation. Acad Med. 2008;83(8):775–780. doi: 10.1097/ACM.0b013e31817ec873. [DOI] [PubMed] [Google Scholar]
- 6.Pugh D, Hamstra SJ, Wood TJ, Humphrey-Murto S, Touchie C, Yudkowsky R, et al. A procedural skills OSCE: assessing technical and non-technical skills of internal medicine residents. Adv Health Sci Educ Theory Pract. 2015;20(1):85–100. doi: 10.1007/s10459-014-9512-x. [DOI] [PubMed] [Google Scholar]
- 7.Dong T, Zahn C, Saguil A, Swygert KA, Yoon M, Servey J, et al. The associations between clerkship objective structured clinical examination (OSCE) grades and subsequent performance. Teach Learn Med. 2017;29(3):280–285. doi: 10.1080/10401334.2017.1279057. [DOI] [PubMed] [Google Scholar]
- 8.Yudkowsky R, Park YS, Downing SM. Assessment in health professions education. 2. New York: Routledge; 2018. [Google Scholar]
- 9.Japan Residency Matching Program (JRMP) [https://www.jrmp.jp/index.html]. Accessed 1 Oct 2020.
- 10.Chakraborti C, Crowther JE, Koretz ZA, Kahn MJ. How well did our students match? A peer-validated quantitative assessment of medical school match success: the match quality score. Med Educ Online. 2019;24(1):1681068. doi: 10.1080/10872981.2019.1681068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Chang LL, Nagler A, Rudd M, Grochowski CO, Buckley EG, Chudgar SM, et al. Is it a match? A novel method of evaluating medical school success. Med Educ Online. 2018;23(1):1432231. doi: 10.1080/10872981.2018.1432231. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Bumsted T, Schneider BN, Deiorio NM. Considerations for medical students and advisors after an unsuccessful match. Acad Med. 2017;92(7):918–922. doi: 10.1097/ACM.0000000000001672. [DOI] [PubMed] [Google Scholar]
- 13.Stratman EJ, Ness RM. Factors associated with successful matching to dermatology residency programs by reapplicants and other applicants who previously graduated from medical school. Arch Dermatol. 2011;147(2):196–202. doi: 10.1001/archdermatol.2010.303. [DOI] [PubMed] [Google Scholar]
- 14.Wilson CR, Bordman ZN. What to do about the Canadian resident matching service. CMAJ. 2017;189(47):E1436–E1447. doi: 10.1503/cmaj.170791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Vogel L. Record number of unmatched medical graduates. CMAJ. 2017;189(21):E758–E759. doi: 10.1503/cmaj.1095432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Kagawa Y, Nishimura K, Sato J, Shozawa K, Murakami Y, Iwata H, et al. Omission of breakfast and its eff ects on the nutritional intake, serum lipids and examination grades of dormitory students. Jpn J Nutr Diet. 1980;38(6):283–294. doi: 10.5264/eiyogakuzashi.38.283. [DOI] [Google Scholar]
- 17.Choi HJ, Lee YJ, Yoo YJ, Cho YW, Moon H-J. The effects of chronotype and social jetlag on medical students. Sleep Biol Rhythms. 2019;17(3):269–276. doi: 10.1007/s41105-018-00198-6. [DOI] [Google Scholar]
- 18.Ministry of Health, Labour and Welfare. The Upper limit of Residents per prefecture in 2021. [https://www.mhlw.go.jp/content/10803000/000590865.pdf] (Japanese). Accessed 1 Oct 2020.
- 19.Mortsiefer A, Karger A, Rotthoff T, Raski B, Pentzek M. Examiner characteristics and interrater reliability in a communication OSCE. Patient Educ Couns. 2017;100(6):1230–1234. doi: 10.1016/j.pec.2017.01.013. [DOI] [PubMed] [Google Scholar]
- 20.Byrne A, Soskova T, Dawkins J, Coombes L. A pilot study of marking accuracy and mental workload as measures of OSCE examiner performance. BMC Med Educ. 2016;16:191. doi: 10.1186/s12909-016-0708-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Perera DP, Andrades M, Wass V. Peer feedback for examiner quality assurance on MRCGP international South Asia: a mixed methods study. BMC Med Educ. 2017;17(1):244. doi: 10.1186/s12909-017-1090-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bird SB, Hern HG, Blomkalns A, Deiorio NM, Haywood Y, Hiller KM, et al. Innovation in residency selection: the AAMC standardized video interview. Acad Med. 2019;94(10):1489–97. [DOI] [PubMed]
- 23.Marcus-Blank B, Dahlke JA, Braman JP, Borman-Shoap E, Tiryaki E, Chipman J, et al. Predicting performance of first-year residents: correlations between structured interview, licensure exam, and competency scores in a multi-institutional study. Acad Med. 2019;94(3):378–387. doi: 10.1097/ACM.0000000000002429. [DOI] [PubMed] [Google Scholar]
- 24.Finlayson HC, Townson AF. Resident selection for a physical medicine and rehabilitation program: feasibility and reliability of the multiple mini-interview. Am J Phys Med Rehabil. 2011;90(4):330–335. doi: 10.1097/PHM.0b013e31820f9677. [DOI] [PubMed] [Google Scholar]
- 25.Egan DJ, Husain A, Bond MC, Caputo W, Cygan L, Van Dermark J, et al. Standardized video interviews do not correlate to United States medical licensing examination step 1 and step 2 scores. West J Emerg Med. 2019;20(1):87–91. doi: 10.5811/westjem.2018.11.39730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Peskun C, Detsky A, Shandling M. Effectiveness of medical school admissions criteria in predicting residency ranking four years later. Med Educ. 2007;41(1):57–64. doi: 10.1111/j.1365-2929.2006.02647.x. [DOI] [PubMed] [Google Scholar]
- 27.EPOC2 (E-POrtfolio of Clinical training) [https://epoc2.umin.ac.jp/]. Accessed 1 Oct 2020.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All data are kept in an available format in a secure cloud provided by The UTokyo.