鋪野 紀好

PURPOSE: In the current era of physician work-hour regulations, patient care ownership (PCO) has received considerable attention. The aim of the study was to investigate the association between working hours and PCO. METHODS: This was a nationwide cross-sectional study. The study recruited residents who completed the General Medicine In-Training Examination. The primary outcome was PCO, assessed using the Japanese version of the PCO Scale (J-PCOS). The secondary outcomes were the four dimensions of the J-PCOS (i.e., assertiveness, sense of ownership, diligence, and being the "go-to" person). The explanatory variable was weekly working hours. We examined the association using multivariable linear regression analysis. RESULTS: 1836 participants were included in the analysis. After adjustment for possible confounders, residents working ≥ 70 to < 90 h/week had greater PCO than those working ≥ 60 to < 70 h/week. Working ≥ 70 to < 90 h/week was also associated with assertiveness and being the "go-to" person. No clear trend was seen in the relationship between working hours and sense of ownership or diligence. CONCLUSION: While determining appropriate resident work hours requires comprehensive consideration of a number of factors, in terms of PCO training, the working hours of 80-90 h/week may be an option.

Rural and Remote Health

BACKGROUND: The 2022 revised version of the Model Core Curriculum (MCC) for Medical Education in Japan includes "generalism" as a new expertise quality and ability, based on the results of surveys of experts in health professions education. However, the perspectives of medical trainees under the pre-2022 MCC revision were under-examined. Here, we investigated what these trainees felt they had learned about general medicine (GM)-related topics. METHODS: We performed a nationwide cross-sectional study using an anonymous online questionnaire, which was developed with reference to the 2022 revised MCC. The questionnaire consisted of 14 items. For all items, we asked, "Did you learn enough during medical school?" Respondents were asked to respond on a 5-point Likert scale (from 1 = strongly disagree to 5 = strongly agree). RESULTS: Three hundred and eighty-six participants (response rate 55.4%) were included in the analysis. For the item "Behavioral science," the number of participants who chose "3 = neither agree nor disagree" was highest, at 171 (44.3%) and with an average of 3.28, indicating that this item was perceived as insufficiently studied. Approximately half of the participants chose "4 = agree" for all items other than "Behavioral science." CONCLUSIONS: The study suggested that behavioral science may be underlearned among medical trainees of the pre-2022 MCC generation. Medical educators in Japan should formulate curricula in accordance with the 2022 revision MCC and improve curricula regarding behavioral science. Future research should survey the generation of trainees who receive 2022 revision MCC-compliant medical education; comparison of results with those of this study would be valuable in examining the effects of the revised guideline and inform international medical educators.

OBJECTIVES: The "5-microskills" instructional method for clinical reasoning does not incorporate a step for learners' critical reflection on their predicted hypotheses. This study aimed to correct this shortcoming by inserting a third step in which learners conduct critical self-examinations and furnish evidence that contradicts their predicted hypotheses, resulting in the "6-microskills" method. METHODS: In this cross-sectional study, changes in learners' confidence in their predicted hypotheses were measured and examined to modify confirmation bias and diagnoses. A total of 108 medical students were presented with one randomly assigned clinical vignette from a set of eight, having to: (1) describe their first impression; (2) provide evidence for it; and (3) finally identify inconsistencies/state evidence against it. Participants rated their confidence in their diagnosis at each of the three steps on a 10 point scale, and results were analyzed using a two-way ANOVA with repeated measures for two between-participant levels (correct or incorrect diagnosis) and three within-participant factors (diagnostic steps). The Bonferroni method was used for multiple comparison tests. RESULTS: Mean confidence scores were 5.01 (Step 1), 5.20 (Step 2), and 4.98 (Step 3); multiple comparisons showed a significant difference between Steps 1-2 (P =.04) and 2-3 (P =.01). Verbalization of evidence in favor of the predicted hypothesis (Step 2) and against it (Step 3) prompted changes in diagnosis in four cases of misdiagnosis (three at Step 2, one at Step 3). CONCLUSIONS: The 6-microskills method, which added a part encouraging learners to verbalize why something "does not fit" with a predicted diagnosis, may effectively correct the confirmation bias associated with diagnostic predictions.

BACKGROUND: Clinical reasoning skills are essential competencies for medical students; therefore, effective, evidence-informed teaching methodologies are needed worldwide. This study investigated the benefits of team-based learning (TBL) for developing the skills in medical students. METHOD: A mixed-methods sequential explanatory design was used to investigate the effectiveness of TBL for medical students acquiring clinical reasoning skills. The study participants comprised 92 fourth-year medical students at Yokohama City University School of Medicine, participating in TBL sessions that covered 10 major clinical symptoms identified in the core curriculum. Each session lasted 240 min. Before and after the educational intervention, student performance was measured using the script concordance test (SCT) on a 30-point scale, and self-assessed clinical reasoning competency was measured on a 7-point Likert scale. The SCT included pre-tests and post-tests of 30 questions each, with students randomly assigned to one of two test sets. Following the quantitative evaluation, a qualitative content analysis was conducted to explore the advantages of TBL for learning clinical reasoning skills. The analytic categories were set according to the six levels of Fink's taxonomy of significant learning. RESULT: Student performance improved significantly after the educational intervention (A test: 16.5 ± 4.4 to 18.7 ± 4.5, p = 0.019; B test: 18.1 ± 3.7 to 19.8 ± 4.4, p = 0.028). After the educational intervention, self-assessed clinical reasoning competency was significantly higher in "recalling appropriate physical examination and tests on clinical hypothesis generation," "recalling appropriate differential diagnosis from patient's chief complaint," "verbalizing points that fit/don't fit the recalled differential diagnosis appropriately," "verbalizing and reflecting appropriately on own mistakes," "selecting keywords from the whole aspect of the patient," and "practicing the appropriate clinical reasoning process" (all p < 0.001). The content analysis extracted 23 subcategories and 233 codes of the advantages of TBL for learning clinical reasoning skills, covering all six levels of Fink's taxonomy of significant learning: Foundational knowledge (7 codes); Application (40 codes); Integration (69 codes); Human dimension (89 codes); Caring (8 codes); and Learning how to learn (20 codes). CONCLUSION: This study demonstrates that TBL supports the acquisition of critical clinical reasoning skills among medical students.

BACKGROUND: Japan faces a health care delivery challenge due to physician maldistribution, with insufficient physicians practicing in rural areas. This issue impacts health care access in remote areas and affects patient outcomes. Educational interventions targeting students' career decision-making can potentially address this problem by promoting interest in rural medicine. We hypothesized that community-based problem-based learning (PBL) using real-patient videos could foster students' understanding of community health care and encourage positive attitudes toward rural health care. OBJECTIVE: This study investigated the impact of community-based PBL on medical students' understanding and engagement with rural health care, focusing on their knowledge, skills, and career orientation. METHODS: Participants were 113 fourth-year medical students from Chiba University, engaged in a transition course between preclinical and clinical clerkships from October 24 to November 2, 2023. The students were randomly divided into 16 groups (7-8 participants per group). Each group participated in two 3-hour PBL sessions per week over 2 consecutive weeks. Quantitative data were collected using pre- and postintervention questionnaires, comprehension tests, and tutor-assessed rubrics. Self-assessment questionnaires evaluated the students' interest in community health care and their ability to envision community health care settings before and after the intervention. Qualitative data from the students' semistructured interviews after the PBL sessions assessed the influence of PBL experience on clinical clerkship in community hospitals. Statistical analysis included median (IQR), effect sizes, and P values for quantitative outcomes. Thematic analysis was used for qualitative data. RESULTS: Of the 113 participants, 71 (62.8%) were male and 42 (37.2%) female. The total comprehension test scores improved significantly (pretest: median 4.0, IQR 2.5-5.0; posttest: median 5, IQR 4-5; P<.001; effect size r=0.528). Rubric-based assessments showed increased knowledge application (pretest: median 8, IQR 7-9; posttest: median 8, IQR 8-8; P<.001; r=0.494) and self-directed learning (pretest: median 8, IQR 7-9; posttest: median 8, IQR 8-8; P<.001; r=0.553). Self-assessment questionnaires revealed significant improvements in the students' interest in community health care (median 3, IQR 3-4 to median 4, IQR 3-4; P<.001) and their ability to envision community health care settings (median 3, IQR 3-4 to median 4, IQR 3-4; P<.001). Thematic analysis revealed key themes, such as "empathy in patient care," "challenges in home health care," and "professional identity formation." CONCLUSIONS: Community-based PBL with real-patient videos effectively enhances medical students' understanding of rural health care settings, clinician roles, and the social needs of rural patients. This approach holds potential as an educational strategy to address physician maldistribution. Although this study suggests potential for fostering positive attitudes toward rural health care, further research is needed to assess its long-term impact on students' career trajectories.

PURPOSE: Both clinical knowledge and patient care ownership (PCO) are crucial to the provision of quality patient care and should be acquired during training. However, the association between these two concepts is under-examined. Here, we conducted a nationwide cross-sectional study to investigate the association between clinical knowledge and PCO among resident physicians in Japan. METHODS: From January 17 to March 31, 2024, we conducted an anonymous, online, self-administered survey for a series of PCO research projects. The survey targeted medical residents who took the General Medicine In-Training Examination (GM-ITE). The mean of the Japanese version of the PCO Scale was used as outcome variable. The primary explanatory variable was total GM-ITE score, while the secondary explanatory variables were GM-ITE category scores in medical knowledge. We conducted multivariable linear regression analysis, controlling for postgraduate years, sex, number of assigned inpatients, weekly working hours, type of hospital, and size of hospital. RESULTS: We included 1836 participants in our statistical analysis. Multivariable linear regression analysis revealed that after adjustment for possible confounders, GM-ITE total scores showed a significantly negative association with PCO in the highest score quartile (adjusted mean difference - 0.20, 95% confidence interval (CI) -0.33 to -0.07, compared with the lowest score quartile). Additionally, after controlling for possible confounding factors, scores for symptomatology and clinical reasoning showed a dose-dependent negative association with PCO (adjusted mean difference - 0.17, 95% CI -0.30 to -0.03 for the highest score quartile compared with the lowest score quartile). No significant dose-dependent associations were found for the other categories. CONCLUSIONS: These findings suggest the presence of potential challenges in the simultaneous fostering of clinical knowledge and PCO during residency training. This underscores the need for educators to actively engage in the reconsideration of current postgraduate training strategies, with the aim of effectively cultivating both clinical knowledge and PCO among medical residents.

BACKGROUND: Outpatient training for resident physicians has been attracting attention in recent years. However, to our knowledge, there have only been a few surveys on outpatient training, particularly in Japan. This study evaluates outpatient care among Japanese resident physicians by determining how the volume of outpatient encounters and length of outpatient training correlate with residents' clinical competence. METHODS: This study utilised the results of the General Medicine In-Training Examination (GM-ITE; resident clinical competency assessment) for 2,554 post-graduate year 2 (PGY 2) resident physicians in Japan, as well as a self-reported questionnaire regarding their educational training environments conducted after the examination. We investigated whether GM-ITE scores correlated with daily outpatient volume and duration of outpatient training. RESULTS: Regarding outpatient volume, having 1-5 new patient encounters per day was significantly associated with higher GM-ITE scores by multilevel analysis [0 patients: average score 43.7, 1-5 patients: adjusted estimated coefficient (aEC) 1.99, 95% confidence interval (CI) 0.44 to 3.55, P = 0.01]. Regarding the duration of outpatient training, residents trained for one month had the highest GM-ITE scores (one month: average score 46.9; two months: aEC -1.44, 95% CI -2.29 to -0.60, P < 0.001; three months: aEC -1.44, 95% CI -2.22 to -0.65, P < 0.001). CONCLUSION: Minimal daily new outpatient visits and one month of outpatient training effectively correlated with residents' basic clinical competence. TRIAL REGISTRATION: This study was approved by the Ethics Committee of the Japan Institute for Advancement of Medical Education Program (JAMEP; No. 22-30) and retrospectively registered.

Background In the United States (US), most physicians who commit sexual misconduct are male, and such misconduct is associated with the absence of chaperones. Several organizations recommend a chaperone during all intimate examinations (breast, genital, and rectal exams). However, in Japan, guidelines are not clearly defined, and hospitals and medical societies have not established standardized protocols. At Chiba University Hospital's Department of General Medicine, female nurses are requested to act as chaperones during female patients' physical examinations. However, limited medical resources make this challenging. Thus, it is necessary to investigate the necessity of female chaperones for the examination area to prioritize their presence. This study surveyed physicians to determine which examination areas require the presence of female chaperones during the examination of female patients by male physicians. The necessity was stratified and compared by the physician's sex and age. Methods This pilot cross-sectional study surveyed physicians in the Department of General Medicine at Chiba University Hospital. The study content was explained via email, and only those who consented to participate were asked to complete the questionnaire. Only physicians who had passed the Japanese medical licensing examination and had completed two years of residency were included. The primary factors were the physician's sex and age. The necessity for female chaperones was measured using a five-point Likert scale for different examination areas and patient age groups. The Mann-Whitney U and Kruskal-Wallis tests were also employed. Results Responses were obtained from 17 of the 19 physicians (89%; 10 male and seven female). Regardless of sex, there was consensus on the necessity of female chaperones when examining intimate parts (chest, thighs (disrobed), breasts, inguinal region, perineum, and buttocks). Female physicians were more likely to consider chaperones necessary for additional areas, including the head/face (p=0.014), chest (clothed) (p=0.019), abdomen (clothed/disrobed) (p=0.003, 0.033), back (clothed) (p=0.001), buttocks (clothed) (p=0.023), shoulder-upper arm (clothed) (p=0.005), and thighs (clothed) (p=0.033). The necessity for chaperones decreased as the patient's age increased. Conclusion Female physicians presented more cautious opinions, considering chaperones necessary for a broader range of examination areas beyond the traditionally defined intimate parts.

Coaching in medical education is a valuable method for enhancing the well-being and job satisfaction of medical professionals, particularly through interactive conversations that foster self-awareness and independent action. A 90-min coaching training program, incorporating lectures and role-plays, was conducted to equip medical professionals with essential coaching skills. The program was well received, and there are plans to expand and tailor future programs to further develop these skills among various healthcare educators.

BACKGROUND: The General Medicine In-Training Examination (GM-ITE) tests clinical knowledge in a 2-year postgraduate residency program in Japan. In the academic year 2021, as a domain of medical safety, the GM-ITE included questions regarding the diagnosis from medical history and physical findings through video viewing and the skills in presenting a case. Examinees watched a video or audio recording of a patient examination and provided free-text responses. However, the human cost of scoring free-text answers may limit the implementation of GM-ITE. A simple morphological analysis and word-matching model, thus, can be used to score free-text responses. OBJECTIVE: This study aimed to compare human versus computer scoring of free-text responses and qualitatively evaluate the discrepancies between human- and machine-generated scores to assess the efficacy of machine scoring. METHODS: After obtaining consent for participation in the study, the authors used text data from residents who voluntarily answered the GM-ITE patient reproduction video-based questions involving simulated patients. The GM-ITE used video-based questions to simulate a patient's consultation in the emergency room with a diagnosis of pulmonary embolism following a fracture. Residents provided statements for the case presentation. We obtained human-generated scores by collating the results of 2 independent scorers and machine-generated scores by converting the free-text responses into a word sequence through segmentation and morphological analysis and matching them with a prepared list of correct answers in 2022. RESULTS: Of the 104 responses collected-63 for postgraduate year 1 and 41 for postgraduate year 2-39 cases remained for final analysis after excluding invalid responses. The authors found discrepancies between human and machine scoring in 14 questions (7.2%); some were due to shortcomings in machine scoring that could be resolved by maintaining a list of correct words and dictionaries, whereas others were due to human error. CONCLUSIONS: Machine scoring is comparable to human scoring. It requires a simple program and calibration but can potentially reduce the cost of scoring free-text responses.

PURPOSE: This study aimed to explore the perspectives of residency program directors in Japan regarding overtime duty hours and the balance between clinical training and self-improvement activities. This study explores the impact of work-hour regulations on resident well-being and training quality, contributing to global discourse on medical education reform. PARTICIPANTS AND METHODS: A cross-sectional survey was distributed to 701 residency training hospitals across Japan to investigate their readiness for new duty-hour limits under the Medical Care Act, which categorizes working hours into Level A (960 hours/year), Level B (1440 hours/year), and Level C-1 (1920 hours/year). The survey, conducted from October 18 to December 15, 2023, achieved a 36.2% response rate (n=254). Key questions included: "Considering the balance between clinical skills development and mental well-being, what do you think is the optimal number of overtime duty hours per month for resident physicians?" Statistical analysis included descriptive statistics and Chi-square tests to compare responses across hospital types. RESULTS: Most directors favored a conservative overtime limit of 40 hours per month (mean ± standard deviation: 40 ± 21 h), with 24.0% expressing this preference. These findings reveal a significant evidence-practice gap, suggesting that current practices often exceed recommended limits, highlighting a need for alignment between policy and implementation. CONCLUSION: This study provides insights into the complex interplay between resident training demands and well-being under Japan's new duty-hour reforms. It offers valuable insights for policymakers and educators aiming to optimize training environments and enhance resident well-being globally.

BACKGROUND: The general medicine in-training examination (GM-ITE) assesses physicians' clinical knowledge. This study expanded on findings from a previous pilot study to assess the relationship between general medicine in-training examination (GM-ITE) scores and the diagnostic skills of resident physicians in Japan by employing an innovative clinical simulation video (CSV-IE). METHODS: This multicenter cross-sectional study included 4,677 resident physicians who took the GMITE between January 17 and 30, 2023. Participants watched the CSV-IE, depicting an emergency room scenario, and provided a diagnosis. The CSV-IE depicts an emergency case and provides a diagnosis. Discrimination indices were used to assess the CSV-IE's effectiveness across clinical competence domains, and multilevel logistic regression was used to analyze physician- and hospital-level factors associated with correct diagnoses. RESULTS: Correct diagnoses were provided by 470 participants (10.0%). The CSV-IE demonstrated high discriminatory power across all assessed domains, including basic clinical knowledge (DI = 0.44), symptomatology and clinical reasoning (DI = 0.31), physical examination and clinical procedure (DI = 0.35), and knowledge about the disease (DI = 0.25), supporting its utility as an effective assessment tool. In the multivariable analysis, factors associated with a higher likelihood of providing a correct CSV-IE diagnosis included a higher annual number of emergency outpatients (adjusted odds ratio: 1.025; 95% confidence interval [CI]: 1.003-1.047; P = .0230) and being in a higher postgraduate year (adjusted odds ratio: 1.387; 95% CI: 1.104-1.742; P = .005). Conversely, resident physicians at university hospitals were less likely to provide a correct CSV-IE response (adjusted odds ratio: 0.624; 95% CI: 0.435-0.896; P = .0107). CONCLUSIONS: CSV-IE modules may provide an integrative and realistic evaluation of clinical competence, addressing limitations of traditional MCQ-based assessments by offering contextualized, real-world scenarios that require dynamic decision-making and diagnostic reasoning.

PURPOSE: General physicians are required to demonstrate diverse leadership skills depending on their environment. It is essential for them to understand the characteristics of the medical institutions to which they belong and put this understanding into practice. Leadership skills are acquired through experience and training, and their acquisition is a goal in various medical training programs. However, these leadership skills are difficult to acquire because the specific leadership skills required in clinical practice, education, and research are not well defined. For example, in clinical practice, general physicians need to lead initiatives to improve patient outcomes, resource utilization, and the quality of medical care. However, the specific leadership skills required for these tasks are not explicitly defined. Based on the survey results on the leadership types that general physicians value in clinical practice, research, and education, in addition to expert opinions and a literature survey, we aimed to establish the leadership type necessary in general medicine. PATIENTS AND METHODS: A cross-sectional anonymous questionnaire survey was conducted from February 2 to 29, 2024, using Google Forms sent through email, targeting members of the Japan Society of Hospital General Medicine. The survey comprised multiple-choice and descriptive questions. RESULTS: Notably, 286 physicians responded to the survey (response rate: 12.5%); 82.9% were males. Of these, 56.3% said they could explain what leadership constitutes, and 57.0% wanted to attend leadership training. When asked about the most-demanded leadership types in each scenario, democratic and transformational leadership were the most selected in clinical practice (52.4%) and in education and research (26.6% and 31.8%, respectively), respectively. CONCLUSION: Transformational leadership was the most important leadership type in education and research, indicating that many general physicians face challenges in these areas. Therefore, developing strategies to improve leadership skills in education and research within general medicine is crucial.

Clinical reasoning skills are crucial for physicians. In clinical reasoning conferences using real cases, medical students, residents, and senior residents can follow experts' clinical reasoning processes. However, supervisors may struggle to clearly articulate their clinical reasoning process. It is necessary to demonstrate this process concretely and systematically for educational purposes. This study introduces the method of clinical reasoning case conferences using semantic qualifiers and the dual-process theory designed for outpatient cases to improve clinical reasoning education methods for beginners. In these conferences, participants assume the roles of a moderator, learner, presenter, and commentator. The presenter sets the first semantic qualifier from the chief complaint and pre-examination information, presents the present illness history, and then sets the second semantic qualifier. After the learners propose a snap diagnosis, the presenter provides additional information, and the learners develop a comprehensive differential diagnosis. Finally, the presenter shares the examination results, and the group discusses the results, determines the final diagnosis, and decides the future diagnostic strategy. This method helps expert physicians articulate their clinical reasoning process, aiding in the education of learners at all levels and enhancing supervisors' metacognition of their medical practice.

OBJECTIVES: With physician maldistribution recognised as a global issue, Japan implemented the physician uneven distribution (PUD) index as a strategic measure. Currently, there is a lack of objective assessment of core clinical competencies in regions influenced by varying levels of physician distribution. In this study, we objectively assess the core clinical competencies in regions affected by physician maldistribution and explore the relationship between the PUD index and the clinical competencies of resident physicians. DESIGN, SETTING AND PARTICIPANTS: In this cross-sectional study, we gathered data from the January 2023 General Medicine In-Training Examination (GM-ITE) survey. Participants included postgraduate year 1 and 2 resident physicians in Japanese hospitals mandating the GM-ITE or those who voluntarily took it. The GM-ITE scores of the resident physicians were assessed. The PUD index, a Japanese policy indicator, reflects regional physician disparities. A low PUD index signals a medical supply shortage compared with local demand. The trial registration number is 23-7. RESULTS: The high and low PUD index groups included 2143 and 1580 participants, respectively. After adjusting for relevant confounders, multivariate linear regression analyses revealed that the low PUD index group had significantly higher GM-ITE scores than the high PUD index group (adjusted coefficient: 1.14; 95% CI 0.62 to 1.65; p<0.001). CONCLUSIONS: The study revealed no clinically differences in GM-ITE scores between residents in regions with disparate physician distributions, suggesting that factors beyond PUD may influence clinical competency. This finding prompts a re-evaluation of whether current assessment methodologies or educational frameworks fully support learning across varied community settings.

BACKGROUND: Addressing the shortage of healthcare professionals in rural Japan poses significant challenges. At Sanmu Medical Center, incorporating resident physicians into a general medicine training program has proved effective in retaining them as supervising physicians. This study aims to identify the key factors contributing to the success of such programs. METHODS: We used a qualitative research design to comprehensively understand the factors contributing to physician retention in regional community hospitals in areas with physician shortages. Interviews were conducted with four experienced physicians, including the center director, who participated in the general or family medicine training programs at Sanmu Medical Center. Using a semi-structured questionnaire, we explored the factors influencing physician retention in community-based hospitals experiencing shortages. Two physicians specializing in community medicine conducted a content analysis under the supervision of three experts in community-oriented medical education and qualitative research. This approach helped compare retention factors perceived by physicians and the center director. RESULTS: Content analysis revealed 10 categories and 47 subcategories. The analysis revealed that "Educational activity" and "Supervising physicians and guidance system" are crucial for physician retention in rural hospitals in Japan. The study highlighted key educational factors contributing to retention: engagement in educational activities led to personal and professional growth, creating a rewarding experience for the physicians. Furthermore, a structured supervising physician system provided essential guidance and mentorship, improving the educational environment. Diverse learning opportunities and protected learning times were identified as critical for fostering a sustainable commitment among physicians to work in rural settings. These findings contribute to existing literature by detailing how structured educational activities and mentorship programs in rural hospital settings can significantly impact physician retention. CONCLUSIONS: Community-based medical education programs that focus on diverse clinical settings, mentorship, and a supportive work environment can enhance physician retention in rural areas. By fostering such educational and professional environments, healthcare institutions can address physician maldistribution and improve care quality in underserved communities. Our study offers practical insights that can be replicated or adapted by other rural hospitals facing similar challenges. It offers targeted strategies to address the unique challenges faced by female physicians in rural healthcare settings.

BACKGROUND: Report writing in class provides basic training for academic writing. However, report writing education in medical schools in Japan has rarely been reported and no teaching strategy has been established for it. METHODS: This study developed a report writing program using peer review for first-year medical students consisting of two 120-minute classes. The goal of being able to write reports appropriately was established and presented to students at the beginning of the program. In session 1, students decided on a topic, gathered information, and structured their report. In session 2, students' written reports were peer reviewed. The reports were improved based on the peer reviews. The responses of the pre- and post-program questionnaires were evaluated to determine the program's effectiveness. The other reports that were assigned one month after the program were used as comparison with the reports of students who did not participate. Furthermore, the long-term effects of the program were also evaluated by comparing the results of students from the previous year who did not participate in the program with those of program participants six months after the program. RESULTS: A total of 106 students completed the questionnaire evaluation. The program was rated as being acceptable for the students. Self-assessment of report writing significantly improved after the program. The report scores of program participants (n = 99) were significantly higher overall and in all domains than were those of non-participants (n = 99). The self-assessment of students who participated (n = 96) was significantly higher than that of non-participants (n = 109). No difference was observed for students' sense of burden in report writing. CONCLUSIONS: The report writing skills of medical students can be improved by clearly establishing the goals of report writing and practicing the basic skills of report writing step-by-step. Moreover, the use of peer review may enhance the effectiveness of learning opportunities for report writing.

BACKGROUND: As healthcare professional trainees, resident physicians are expected to help with COVID-19 care in various ways. Many resident physicians worldwide have cared for COVID-19 patients despite the increased risk of burnout. However, few studies have examined the experience with COVID-19 care among resident physicians and its effects on competency achievement regarding clinical basics and COVID-19 patient care. METHOD: This nationwide, cross-sectional Japanese study used a clinical training environment questionnaire for resident physicians (PGY-1 and - 2) in 593 teaching hospitals during the General Medicine In-Training Examination in January 2021. The General Medicine In-Training Examination questions comprised four categories (medical interviews and professionalism; symptomatology and clinical reasoning; physical examination and clinical procedures; and disease knowledge) and a COVID-19-related question. We examined the COVID-19 care experience and its relationship with the General Medicine In-Training Examination score, adjusting for resident and hospital variables. RESULTS: Of the 6,049 resident physicians, 2,841 (47.0%) had no experience caring for patients with COVID-19 during 2020. Total and categorical General Medicine In-Training Examination scores were not different irrespective of the experience with COVID-19 patient care. For the COVID-19-related question, residents with experience in COVID-19 care showed a significant increase in correct response by 2.6% (95% confidence interval, 0.3-4.9%; p = 0.028). CONCLUSIONS: The resident physicians' COVID-19 care experience was associated with better achievement of COVID-19-related competency without reducing clinical basics. However, approximately half of the residents missed the critical experience of caring for patients during this unparalleled pandemic in Japan.

OBJECTIVE: To identify generalism-related competencies that medical students in Japan should acquire in order to provide comprehensive care for patients. METHODS: The team responsible for developing the new 'Generalism' section of the 2022 revision of the Model Core Curriculum for Medical Education in Japan (MCC) consisted of nine members from diverse medical backgrounds across Japan. We adopted pragmatism paradigm and analyzed to identify decision-making processes using a qualitative document analysis. RESULTS: The competency list was presented as a four-tier structure. The first tier of generalism was defined as 'take a multi-systemic view of the patient's problems and consider the patient's psychosocial background in order to provide comprehensive, flexible medical care that responds to the needs of the patient and is not limited to one's own specialty, supporting the achievement of individual and societal well-being.' The second tier was framed in terms of 'perspectives' and constructed of four different domains: 'holistic,' 'community,' 'life,' and 'social.' CONCLUSION: We identified and defined the competencies required by medical students in Japan to provide comprehensive care for patients. By including these competencies in the MCC, undergraduate medical education will be better placed to respond to anticipated changes in the demand for medical care in Japan. Success factors in our guideline development process include facilitating a collaborative and iterative development process, ensuring that diverse perspectives are integrated, and using practical examples and feedback to refine competencies based on a pragmatic approach.

BACKGROUND: Evaluating the accuracy and educational utility of artificial intelligence-generated medical cases, especially those produced by large language models such as ChatGPT-4 (developed by OpenAI), is crucial yet underexplored. OBJECTIVE: This study aimed to assess the educational utility of ChatGPT-4-generated clinical vignettes and their applicability in educational settings. METHODS: Using a convergent mixed methods design, a web-based survey was conducted from January 8 to 28, 2024, to evaluate 18 medical cases generated by ChatGPT-4 in Japanese. In the survey, 6 main question items were used to evaluate the quality of the generated clinical vignettes and their educational utility, which are information quality, information accuracy, educational usefulness, clinical match, terminology accuracy (TA), and diagnosis difficulty. Feedback was solicited from physicians specializing in general internal medicine or general medicine and experienced in medical education. Chi-square and Mann-Whitney U tests were performed to identify differences among cases, and linear regression was used to examine trends associated with physicians' experience. Thematic analysis of qualitative feedback was performed to identify areas for improvement and confirm the educational utility of the cases. RESULTS: Of the 73 invited participants, 71 (97%) responded. The respondents, primarily male (64/71, 90%), spanned a broad range of practice years (from 1976 to 2017) and represented diverse hospital sizes throughout Japan. The majority deemed the information quality (mean 0.77, 95% CI 0.75-0.79) and information accuracy (mean 0.68, 95% CI 0.65-0.71) to be satisfactory, with these responses being based on binary data. The average scores assigned were 3.55 (95% CI 3.49-3.60) for educational usefulness, 3.70 (95% CI 3.65-3.75) for clinical match, 3.49 (95% CI 3.44-3.55) for TA, and 2.34 (95% CI 2.28-2.40) for diagnosis difficulty, based on a 5-point Likert scale. Statistical analysis showed significant variability in content quality and relevance across the cases (P<.001 after Bonferroni correction). Participants suggested improvements in generating physical findings, using natural language, and enhancing medical TA. The thematic analysis highlighted the need for clearer documentation, clinical information consistency, content relevance, and patient-centered case presentations. CONCLUSIONS: ChatGPT-4-generated medical cases written in Japanese possess considerable potential as resources in medical education, with recognized adequacy in quality and accuracy. Nevertheless, there is a notable need for enhancements in the precision and realism of case details. This study emphasizes ChatGPT-4's value as an adjunctive educational tool in the medical field, requiring expert oversight for optimal application.

IntroductionThe Cognitive Function Score (CFS) is a public scale for assessing the activities of daily living (ADL) in older adults with dementia in Japan. In contrast, the scores of the revised Hasegawa's dementia scale (HDS-R), an easy-to-use dementia screening tool developed in Japan, are significantly correlated with mini-mental state examination scores and are widely utilized in various countries. This novel study aimed to elucidate the previously unexplored criterion-related validity of the CFS and HDS-R and the Bedriddenness Rank (BR), Barthel Index (BI), and Katz Index (KI).MethodsThis was a multicenter retrospective study and a secondary analysis of our previous study. The study included patients aged ≥ 20 years hospitalized in chronic care settings between April 1, 2018, and March 31, 2021. We collected data from medical charts on admission, including age, sex, the BR, CFS, BI, KI, and HDS-R scores. Correlations between the CFS and HDS-R score, as well as between the BR and BI or KI, were analyzed using Spearman's rank correlation coefficients.ResultsA total of 749 participants were included in the analysis of criterion-related validity between the CFS and HDS-R. In the CFS cohort analysis, 202 patients (27.0%) were categorized as having a normal CFS, and the median HDS-R score was 18 (range: 6–26). The correlation coefficient between the CFS and HDS-R scores was -0.834 (p &amp;lt; 0.001). The correlation coefficient between BR and BI was -0.741 (p &amp;lt; 0.001), BR and KI was -0.740 (p &amp;lt; 0.001).ConclusionThe CFS revealed significant criterion-related validity compared with the established cognitive assessment scale, the HDS-R. The BR also demonstrated significant criterion-related validity with the BI and KI.

To assess the utility of wearable cameras in medical examinations, we created a physician-view video-based examination question and explanation, and the survey results indicated that these cameras can enhance the evaluation and educational capabilities of medical examinations.

Abstract Background Hidden curriculum (HC) can limit the effects of professionalism education. However, the research on how HC triggers unprofessional behavior among medical students is scant. Furthermore, there is no established approach for how faculty members may create a context, such as an educational environment and education system, that prevents students’ unprofessional behavior. This study aimed to develop an educational approach to prevent unprofessional behavior and clarify how faculty members consider HC that triggers students’ unprofessional behavior. Methods The study sample comprised 44 faculty members and eight medical students from the Chiba University School of Medicine. The participants were divided into groups and asked the following question: “What attitudes, statements, and behaviors of senior students, physicians, and faculty members trigger medical students’ unprofessional behavior?” The responses were collected using the affinity diagram method. The group members discussed the causes and countermeasures for the selected attitudes, statements, and behaviors of senior students, physicians, and faculty members based on the affinity diagram. The impact of the group work on the faculty members was surveyed using questionnaires immediately after its completion and six months later. Furthermore, the cards in the group work were analyzed using content analysis. Results The responses to the questionnaire on group work indicated that some faculty members (43.8%) improved HC, while others suggested conducting group work with more participants. The content analysis revealed six categories – inappropriate attitude/behavior, behavior encouraging unprofessional behavior, lack of compliance with regulations, harassment of other medical staff, inappropriate educational environment/supervisor, and inappropriate self-control – and 46 subcategories. Conclusions The HC that triggers students’ unprofessional behavior includes the words and actions of the educator, organizational culture, and educational environment. Group work makes faculty members aware of the HC that triggers unprofessional behavior, and induces behavioral change for HC improvement in the educational activities. Educators should refrain from using words and actions that encourage unprofessional behavior, such as personal anecdotes, as they reduce students’ learning motivation.

PURPOSE: There has been growing interest in generalists in Japan in recent years. However, due to the diverse use of the term "generalist", the specific roles of these physicians remain ambiguous. Consequently, the target population for research on generalists is unclear, making it challenging to conduct studies within the generalist practice framework. Therefore, a literature search was conducted to examine how generalists are defined and classified in research worldwide. METHODS: We conducted a literature search that focused exclusively on articles written in English and used keywords related to generalists, general medicine (GM), primary care, and family medicine. Based on the results, six physicians working in GM reviewed the findings and discussed the identified issues and their potential solutions. RESULTS: The definition of generalists in studies targeting GM, family medicine, and primary care conducted worldwide, including Japan, varies. Generalists exhibit diverse roles even within university hospitals in Japan. No studies provide a precise categorization or definition of generalists based on specific medical practices or roles, except for hospitalists, who are primarily involved in inpatient management in the United States. CONCLUSION: The definition of GM was unclear based on the results of the literature search, and the lack of uniformity in backgrounds has rendered the target population unclear. Consequently, in healthcare settings where medical systems vary by country or region, evidence from studies targeting generalists cannot readily apply to actual practice. Clarifying generalists through an explicit definition based on clinical practice will allow for a more precise target population for research on generalists and enable the accumulation of evidence related to well-defined groups of generalists, contributing to the advancement of GM. Therefore, future research is required to develop new indicators to precisely classify and define generalists.

BACKGROUND: The persistence of diagnostic errors, despite advances in medical knowledge and diagnostics, highlights the importance of understanding atypical disease presentations and their contribution to mortality and morbidity. Artificial intelligence (AI), particularly generative pre-trained transformers like GPT-4, holds promise for improving diagnostic accuracy, but requires further exploration in handling atypical presentations. OBJECTIVE: This study aimed to assess the diagnostic accuracy of ChatGPT in generating differential diagnoses for atypical presentations of common diseases, with a focus on the model's reliance on patient history during the diagnostic process. METHODS: We used 25 clinical vignettes from the Journal of Generalist Medicine characterizing atypical manifestations of common diseases. Two general medicine physicians categorized the cases based on atypicality. ChatGPT was then used to generate differential diagnoses based on the clinical information provided. The concordance between AI-generated and final diagnoses was measured, with a focus on the top-ranked disease (top 1) and the top 5 differential diagnoses (top 5). RESULTS: ChatGPT's diagnostic accuracy decreased with an increase in atypical presentation. For category 1 (C1) cases, the concordance rates were 17% (n=1) for the top 1 and 67% (n=4) for the top 5. Categories 3 (C3) and 4 (C4) showed a 0% concordance for top 1 and markedly lower rates for the top 5, indicating difficulties in handling highly atypical cases. The χ2 test revealed no significant difference in the top 1 differential diagnosis accuracy between less atypical (C1+C2) and more atypical (C3+C4) groups (χ²1=2.07; n=25; P=.13). However, a significant difference was found in the top 5 analyses, with less atypical cases showing higher accuracy (χ²1=4.01; n=25; P=.048). CONCLUSIONS: ChatGPT-4 demonstrates potential as an auxiliary tool for diagnosing typical and mildly atypical presentations of common diseases. However, its performance declines with greater atypicality. The study findings underscore the need for AI systems to encompass a broader range of linguistic capabilities, cultural understanding, and diverse clinical scenarios to improve diagnostic utility in real-world settings.

BACKGROUND: The relationship between educational outcomes and the use of web-based clinical knowledge support systems in teaching hospitals remains unknown in Japan. A previous study on this topic could have been affected by recall bias because of the use of a self-reported questionnaire. OBJECTIVE: We aimed to explore the relationship between the use of the Wolters Kluwer UpToDate clinical knowledge support system in teaching hospitals and residents' General Medicine In-Training Examination (GM-ITE) scores. In this study, we objectively evaluated the relationship between the total number of UpToDate hospital use logs and the GM-ITE scores. METHODS: This nationwide cross-sectional study included postgraduate year-1 and -2 residents who had taken the examination in the 2020 academic year. Hospital-level information was obtained from published web pages, and UpToDate hospital use logs were provided by Wolters Kluwer. We evaluated the relationship between the total number of UpToDate hospital use logs and residents' GM-ITE scores. We analyzed 215 teaching hospitals with at least 5 GM-ITE examinees and hospital use logs from 2017 to 2019. RESULTS: The study population consisted of 3013 residents from 215 teaching hospitals with at least 5 GM-ITE examinees and web-based resource use log data from 2017 to 2019. High-use hospital residents had significantly higher GM-ITE scores than low-use hospital residents (mean 26.9, SD 2.0 vs mean 26.2, SD 2.3; P=.009; Cohen d=0.35, 95% CI 0.08-0.62). The GM-ITE scores were significantly correlated with the total number of hospital use logs (Pearson r=0.28; P<.001). The multilevel analysis revealed a positive association between the total number of logs divided by the number of hospital physicians and the GM-ITE scores (estimated coefficient=0.36, 95% CI 0.14-0.59; P=.001). CONCLUSIONS: The findings suggest that the development of residents' clinical reasoning abilities through UpToDate is associated with high GM-ITE scores. Thus, higher use of UpToDate may lead physicians and residents in high-use hospitals to increase the implementation of evidence-based medicine, leading to high educational outcomes.

In clinical clerkship (CC), medical students can practice evidence-based medicine (EBM) with their assigned patients. Although CC can be a valuable opportunity for EBM education, the impact of EBM training, including long-term behavioral changes, remains unclear. One hundred and nine fourth- and fifth-year medical students undergoing CC at a medical school in Japan attended a workplace-based learning program for EBM during CC (WB-EBM), which included the practice of the five steps of EBM. The program's effect on the students' attitudes toward EBM in CC was assessed through questionnaires. A total of 88 medical students participated in the program. Responses to the questionnaire indicated high satisfaction with the WB-EBM program. The most common theme in students' clinical problems with their assigned patients was the choice of treatment, followed by its effect. Based on the responses in the post-survey for the long-term effects of the program, the frequency of problem formulation and article reading tended to increase in the 'within six months' group comprising 18 students who participated in the WB-EBM program, compared with the control group comprising 34 students who did not. Additionally, the ability to self-assess problem formulation was significantly higher, compared with the control group. However, among 52 students who participated in the WB-EBM program more than six months later, EBM-related behavioral habits in CC and self-assessments of the five steps of EBM were not significantly different from those in the control group. The WB-EBM program was acceptable for medical students in CC. It motivated them to formulate clinical questions and enhanced their critical thinking. Moreover, the WB-EBM program can improve habits and self-evaluations about EBM. However, as its effects may not last more than six months, it may need to be repeated across departments throughout CC to change behavior in EBM practice.

BACKGROUND: Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician's confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis. OBJECTIVE: This study explored the contribution of patient history to AI-assisted medical diagnoses and assessed the accuracy of ChatGPT in reaching a clinical diagnosis based on the medical history provided. METHODS: Using clinical vignettes of 30 cases identified in The BMJ, we evaluated the accuracy of diagnoses generated by ChatGPT. We compared the diagnoses made by ChatGPT based solely on medical history with the correct diagnoses. We also compared the diagnoses made by ChatGPT after incorporating additional physical examination findings and laboratory data alongside history with the correct diagnoses. RESULTS: ChatGPT accurately diagnosed 76.6% (23/30) of the cases with only the medical history, consistent with previous research targeting physicians. We also found that this rate was 93.3% (28/30) when additional information was included. CONCLUSIONS: Although adding additional information improves diagnostic accuracy, patient history remains a significant factor in AI-assisted medical diagnosis. Thus, when using AI in medical diagnosis, it is crucial to include pertinent and correct patient histories for an accurate diagnosis. Our findings emphasize the continued significance of patient history in clinical diagnoses in this age and highlight the need for its integration into AI-assisted medical diagnosis systems.

BACKGROUND: In Japan, postgraduate clinical training encompasses a 2-year residency program, including at least 24 weeks of internal medicine (IM) rotations. However, the fragmented structure of these rotations can compromise the training's quality and depth. For example, a resident might spend only a few weeks in cardiology before moving to endocrinology, without sufficient time to deepen their understanding or have clinical experience. This study examined current patterns and lengths of IM rotations within the Japanese postgraduate medical system. It scrutinized the piecemeal approach-whereby residents may engage in multiple short-term stints across various subspecialties without an overarching, integrated experience-and explored potential consequences for their clinical education. METHODS: This nationwide, multicenter, cross-sectional study used data from self-reported questionnaires completed by participants in the 2022 General Medicine In-Training Examination (GM-ITE). Data of 1,393 postgraduate year (PGY) one and two resident physicians who participated in the GM-ITE were included. We examined the IM rotation duration and number of IM subspecialties chosen by resident physicians during a 2-year rotation. RESULTS: Approximately half of the participants chose IM rotation periods of 32-40 weeks. A significant proportion of participants rotated in 5-7 internal medicine departments throughout the observation period. Notable variations in the distribution of rotations were observed, characterized by a common pattern where resident physicians typically spend 4 weeks in each department before moving to the next. This 4-week rotation is incrementally repeated across different subspecialties without a longer, continuous period in any single area. Notably, 39.7% of participants did not undertake general internal medicine rotations. These results suggest a narrowed exposure to medical conditions and patient care practices. CONCLUSIONS: Our study highlights the need to address the fragmented structure of IM rotations in Japan. We suggest that short, specialized learning periods may limit the opportunity to gain broad in-depth knowledge and practical experience. To improve the efficacy of postgraduate clinical education, we recommend fostering more sustained and comprehensive learning experiences.

PURPOSE: There has been no large-scale investigation into the association between the use of lemborexant, suvorexant, and ramelteon and falls in a large population. This study, serving as a pilot investigation, was aimed at examining the relationship between inpatient falls and various prescribed hypnotic medications at admission. PATIENTS AND METHODS: This study was a sub-analysis of a multicenter retrospective observational study conducted over a period of 3 years. The target population comprised patients aged 20 years or above admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals. We extracted data on the types of hypnotic medications prescribed at admission, including lemborexant, suvorexant, ramelteon, benzodiazepines, Z-drugs, and other hypnotics; the occurrence of inpatient falls during the hospital stay; and patients' background information. To determine the outcome of inpatient falls, items with low collinearity were selected and included as covariates in a forced-entry binary logistic regression analysis. RESULTS: Overall, 150,278 patients were included in the analysis, among whom 3,458 experienced falls. The median age of the entire cohort was 70 years, with men constituting 53.1%. Binary logistic regression analysis revealed that the prescription of lemborexant, suvorexant, and ramelteon at admission was not significantly associated with inpatient falls. CONCLUSION: The administration of lemborexant, suvorexant, and ramelteon at admission may not be associated with inpatient falls.

Diagnosis and management of psychogenic diseases such as conversion disorder, somatic symptom disorder (SSD), illness anxiety disorder, falsehood disorder, and psychotic disorder require an elaborate biopsychosocial approach and are often challenging. Herein, we propose the following points to differentiate medical diseases from these psychogenic diseases: correspondence between symptoms and objective findings or activities of daily living (ADL) impairment; placebo effect; clear provocative or palliative factors; progressive time course; paroxysmal or intermittent symptoms; unfamiliar but not strange expressions; symptoms worsen during sleep or rest.

BACKGROUND: Medical students in Japan undergo a 2-year postgraduate residency program to acquire clinical knowledge and general medical skills. The General Medicine In-Training Examination (GM-ITE) assesses postgraduate residents' clinical knowledge. A clinical simulation video (CSV) may assess learners' interpersonal abilities. OBJECTIVE: This study aimed to evaluate the relationship between GM-ITE scores and resident physicians' diagnostic skills by having them watch a CSV and to explore resident physicians' perceptions of the CSV's realism, educational value, and impact on their motivation to learn. METHODS: The participants included 56 postgraduate medical residents who took the GM-ITE between January 21 and January 28, 2021; watched the CSV; and then provided a diagnosis. The CSV and GM-ITE scores were compared, and the validity of the simulations was examined using discrimination indices, wherein ≥0.20 indicated high discriminatory power and >0.40 indicated a very good measure of the subject's qualifications. Additionally, we administered an anonymous questionnaire to ascertain participants' views on the realism and educational value of the CSV and its impact on their motivation to learn. RESULTS: Of the 56 participants, 6 (11%) provided the correct diagnosis, and all were from the second postgraduate year. All domains indicated high discriminatory power. The (anonymous) follow-up responses indicated that the CSV format was more suitable than the conventional GM-ITE for assessing clinical competence. The anonymous survey revealed that 12 (52%) participants found the CSV format more suitable than the GM-ITE for assessing clinical competence, 18 (78%) affirmed the realism of the video simulation, and 17 (74%) indicated that the experience increased their motivation to learn. CONCLUSIONS: The findings indicated that CSV modules simulating real-world clinical examinations were successful in assessing examinees' clinical competence across multiple domains. The study demonstrated that the CSV not only augmented the assessment of diagnostic skills but also positively impacted learners' motivation, suggesting a multifaceted role for simulation in medical education.

Hospital Medicine in the United States has achieved significant progress in the accumulation of evidence. This development has influenced the increasing societal demand for General Medicine in Japan. Generalists in Japan actively engage in a wide range of interdisciplinary clinical practices, education, and management. Furthermore, Generalists have also contributed to advances in research. However, there is limited evidence regarding the benefits of General Medicine in Japan in all these areas, with most of the evidence derived from single-center studies. In Japan, the roles of Generalists are diverse, and the comprehensive definition of General Medicine makes it difficult to clearly delineate its scope. This results in an inadequate accumulation of evidence regarding the benefits of General Medicine, potentially making it less attractive to the public and younger physicians. Therefore, it is necessary to categorize General Medicine and collect clear evidence regarding its benefits.

Long duty hours (DH) impair sleep and negatively affect residents' health and medical safety. This cross-sectional study investigated the association among residents' DH, sleep duration, insomnia, sleep impairment, depressive symptoms, and self-reported medical errors among 5579 residents in Japan who completed the General Medicine In-Training Examination (2021) and participated in the training-environment survey. Weekly DH was classified under seven categories. Sleep duration and insomnia symptoms, from the Athens Insomnia Scale, were analysed to determine sleep impairment; depressive symptoms and medical errors were self-reported. Among 5095 residents, 15.5% slept < 5 h/day, and 26.7% had insomnia. In multivariable analysis, compared with ≥ 60 and < 70, DH ≥ 90 h/week associated with shorter sleep duration and worsen insomnia symptoms. Shorter durations of sleep and more intense symptoms of insomnia were associated with increased depressive symptoms. Medical errors increased only among residents with insomnia, but were not associated with sleep duration. DH > 90 h/week could lead to shorter sleep duration, worsen insomnia symptoms, and negatively impact well-being and medical safety. There was no significant association between sleep duration and medical errors; however, insomnia conferred an increased risk of medical errors. Limiting DH for residents to avoid excessive workload can help improve resident sleep, enhance resident well-being, and potentially reduce insomnia-associated medical errors.

Anterior, lateral, and posterior cutaneous nerve entrapment syndromes have been proposed as etiologies of trunk pain. However, while these syndromes are analogous, comprehensive reports contrasting the three subtypes are lacking. We therefore reviewed the literature on anterior, lateral, and posterior cutaneous nerve entrapment syndrome. We searched the PubMed and Cochrane Library databases twice for relevant articles published between March and September 2022. In addition to 16 letters, technical reports, and review articles, a further 62, 6, and 3 articles concerning anterior, lateral, and posterior cutaneous nerve entrapment syndromes, respectively, were included. These syndromes are usually diagnosed based solely on unique history and examination findings; however, the diagnostic process may be prolonged, and multiple re-evaluations are required. The most common first-line treatment is trigger point injection; however, the management of refractory cases remains unclear. Awareness of this disease should be expanded to medical departments other than general medicine.

PURPOSE: We conducted a pilot study in an acute care hospital and developed the Saga Fall Risk Model 2 (SFRM2), a fall prediction model comprising eight items: Bedriddenness rank, age, sex, emergency admission, admission to the neurosurgery department, history of falls, independence of eating, and use of hypnotics. The external validation results from the two hospitals showed that the area under the curve (AUC) of SFRM2 may be lower in other facilities. This study aimed to validate the accuracy of SFRM2 using data from eight hospitals, including chronic care hospitals, and adjust the coefficients to improve the accuracy of SFRM2 and validate it. PATIENTS AND METHODS: This study included all patients aged ≥20 years admitted to eight hospitals, including chronic care, acute care, and tertiary hospitals, from April 1, 2018, to March 31, 2021. In-hospital falls were used as the outcome, and the AUC and shrinkage coefficient of SFRM2 were calculated. Additionally, SFRM2.1, which was modified from the coefficients of SFRM2 using logistic regression with the eight items comprising SFRM2, was developed using two-thirds of the data randomly selected from the entire population, and its accuracy was validated using the remaining one-third portion of the data. RESULTS: Of the 124,521 inpatients analyzed, 2,986 (2.4%) experienced falls during hospitalization. The median age of all inpatients was 71 years, and 53.2% were men. The AUC of SFRM2 was 0.687 (95% confidence interval [CI]:0.678-0.697), and the shrinkage coefficient was 0.996. SFRM2.1 was created using 81,790 patients, and its accuracy was validated using the remaining 42,731 patients. The AUC of SFRM2.1 was 0.745 (95% CI: 0.731-0.758). CONCLUSION: SFRM2 showed good accuracy in predicting falls even on validating in diverse populations with significantly different backgrounds. Furthermore, the accuracy can be improved by adjusting the coefficients while keeping the model's parameters fixed.

Rupture of the azygous vein may result from abrupt deceleration applied to the mobile azygous arch, which can initiate shearing forces within the thorax.

The Model Core Curriculum for Medical Education in Japan was revised in 2022. It aimed to reflect changes in the nature of medical care, including the advancement of medical technology through the use of information science and technology and artificial intelligence in the Society 5.0 era. We summarize recommendations for good practice regarding learning strategies from the perspective of general medicine.

BACKGROUND: Generative artificial intelligence (GAI), represented by large language models, have the potential to transform health care and medical education. In particular, GAI's impact on higher education has the potential to change students' learning experience as well as faculty's teaching. However, concerns have been raised about ethical consideration and decreased reliability of the existing examinations. Furthermore, in medical education, curriculum reform is required to adapt to the revolutionary changes brought about by the integration of GAI into medical practice and research. OBJECTIVE: This study analyzes the impact of GAI on medical education curricula and explores strategies for adaptation. METHODS: The study was conducted in the context of faculty development at a medical school in Japan. A workshop involving faculty and students was organized, and participants were divided into groups to address two research questions: (1) How does GAI affect undergraduate medical education curricula? and (2) How should medical school curricula be reformed to address the impact of GAI? The strength, weakness, opportunity, and threat (SWOT) framework was used, and cross-SWOT matrix analysis was used to devise strategies. Further, 4 researchers conducted content analysis on the data generated during the workshop discussions. RESULTS: The data were collected from 8 groups comprising 55 participants. Further, 5 themes about the impact of GAI on medical education curricula emerged: improvement of teaching and learning, improved access to information, inhibition of existing learning processes, problems in GAI, and changes in physicians' professionality. Positive impacts included enhanced teaching and learning efficiency and improved access to information, whereas negative impacts included concerns about reduced independent thinking and the adaptability of existing assessment methods. Further, GAI was perceived to change the nature of physicians' expertise. Three themes emerged from the cross-SWOT analysis for curriculum reform: (1) learning about GAI, (2) learning with GAI, and (3) learning aside from GAI. Participants recommended incorporating GAI literacy, ethical considerations, and compliance into the curriculum. Learning with GAI involved improving learning efficiency, supporting information gathering and dissemination, and facilitating patient involvement. Learning aside from GAI emphasized maintaining GAI-free learning processes, fostering higher cognitive domains of learning, and introducing more communication exercises. CONCLUSIONS: This study highlights the profound impact of GAI on medical education curricula and provides insights into curriculum reform strategies. Participants recognized the need for GAI literacy, ethical education, and adaptive learning. Further, GAI was recognized as a tool that can enhance efficiency and involve patients in education. The study also suggests that medical education should focus on competencies that GAI hardly replaces, such as clinical experience and communication. Notably, involving both faculty and students in curriculum reform discussions fosters a sense of ownership and ensures broader perspectives are encompassed.

PURPOSE: This study aimed to investigate cancer screening rates and the reasons for not undergoing screening among patients who regularly visited the Sanmu Medical Center. PATIENTS AND METHODS: This prospective observational study recruited patients aged ≥40 years with regular clinic visits to Sanmu Medical Center during October 2019. We conducted a self-administered survey to determine the patient's sex and whether they underwent cancer screening in 2019, and if not, the reason for the same. The primary outcome measure was the percentage of people who did not undergo cancer screening. RESULTS: A total of 198 responses (108 male respondents) were obtained. Among them, 189 were valid responses (valid response rate 94.5%). One hundred and twenty-nine patients (68.2%, 76 male) had not undergone screening. The most common reasons provided were "I have regular regular clinic visits and do not think they are necessary" (N = 65, 50.3%), "I underwent a gastroscopy within 2 years, a colorectal camera examination within a few years, and a chest radiography within a year" (42.5%), and "I have a separate complete medical checkup" (N = 15, 11.6%). Of the 65 patients who responded that their cancer screenings were unnecessary, 42 patients (64.6%) had not undergone a gastroscopy within 2 years, a colorectal camera examination within a few years, or a chest radiography or examination within a year. CONCLUSION: Roughly half of the respondents who did not undergo cancer screening elected to abstain because they believed that regular hospital visits were sufficient. Encouraging patients who regularly visit medical institutions to receive cancer screening is therefore necessary.

Seminar participants collaborated as a team to improve their organization, work environment, and labor issues using the Plan-Do-Check-Act (PDCA) cycle. The PDCA cycle helps healthcare providers identify risks and hazards in their work environment and address daily issues. It guides them in planning and executing improvements while enabling progress tracking and encouraging further considerations for implementation.