鋪野 紀好

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.

BACKGROUND: The gamification of learning increases student enjoyment, and motivation and engagement in learning tasks. This study investigated the effects of gamification using decision-making cards (DMCs) on diagnostic decision-making and cost using case scenarios. METHOD: Thirty medical students in clinical clerkship participated and were randomly assigned to 14 small groups of 2-3 medical students each. Decision-making was gamified using DMCs with a clinical information heading and medical cost on the front, and clinical information details on the back. First, each team was provided with brief clinical information on case scenarios. Subsequently, DMCs depending on the case were distributed to each team, and team members chose cards one at a time until they reached a diagnosis of the case. The total medical cost was then scored based on the number and contents of cards drawn. Four case scenarios were conducted. The quantitative outcomes including confidence in effective clinical decision-making, motivation to learn diagnostic decision-making, and awareness of medical costs were measured before and after our gamification by self-evaluation using a 7-point Likert scale. The qualitative component consisted of a content analysis on the benefits of learning clinical reasoning using DMCs. RESULT: Confidence in effective clinical decision-making, motivation to learn diagnostic decision-making, and awareness of medical cost were significantly higher after the gamification. Furthermore, comparing the clinical case scenario tackled last with the one tackled first, the average medical cost of all cards drawn by students decreased significantly from 11,921 to 8,895 Japanese yen. In the content analysis, seven advantage categories of DMCs corresponding to clinical reasoning components were extracted (information gathering, hypothesis generation, problem representation, differential diagnosis, leading or working diagnosis, diagnostic justification, and management and treatment). CONCLUSION: Teaching medical students clinical reasoning using DMCs can improve clinical decision-making confidence and learning motivation, and reduces medical cost in clinical case scenarios. In addition, it can help students to acquire practical knowledge, deepens their understanding of clinical reasoning, and identifies several important clinical reasoning skills including diagnostic decision-making and awareness of medical costs. Gamification using DMCs can be an effective teaching method for improving medical students' diagnostic decision-making and reducing costs.

INTRODUCTION: Hospitalists in Japan have been at the forefront of the COVID-19 pandemic. However, contributions of Japanese hospitalists during the COVID-19 pandemic and hospitalists' awareness of crisis management education remain unclear. MATERIAL AND METHODS: We conducted a questionnaire survey to investigate the role of Japanese hospitalists during the COVID-19 pandemic. The questionnaire was conducted using email and Google Forms targeting the chairpersons of facilities certified by the Japanese Society of Hospital General Medicine (JSHGM). Members of the academic committee of the JSHGM and several hospitals conducted a narrative review and determined the questions for the survey in a discussion. RESULTS: We conducted descriptive statistics based on the responses of 97 hospitals that agreed to participate in this survey. In total, 91.8% of general medicine departments in the included hospitals were involved in the medical care of COVID-19 patients. Furthermore, in 73.2% of hospitals, hospitalists were involved in infection control for COVID-19 inside or outside the hospital. Our survey revealed that Japanese hospitalists were responsible for COVID-19 treatment in over 60% of hospitals and contributed to hospital management, infection control, and vaccination. In total, 79.4% of hospitals answered that "training of personnel who can provide practical care for emerging infectious diseases is necessary", 78.4% indicated that "the establishment of an infection control system in advance to prepare emerging infectious diseases in the hospital is necessary", and 74.2% stated that "the establishment of an educational system for responding to emerging infectious diseases is necessary.". CONCLUSION: In conclusion, during the pandemic, in addition to inpatient care, Japanese hospitalists provided outpatient care for COVID-19, which is the role of primary care physicians in other countries. Furthermore, Japanese hospitalists who experienced the COVID-19 pandemic expressed the need for personnel development and education to prepare for future emerging infectious disease pandemics.

PURPOSE: A regional quota program (RQP) was introduced in Japan to ameliorate the urban-rural imbalance of physicians. Despite concerns about the low learning abilities of RQP graduates, the relationship between the RQP and practical clinical competency after initiating clinical residency has not been evaluated. METHODS: We conducted a nationwide cross-sectional study to assess the association between the RQP and practical clinical competency based on General Medicine In-Training Examination (GM-ITE) scores. We compared the overall and category GM-ITE results between RQP graduates and other resident physicians. The relationship between the RQP and scores was examined using multilevel linear regression analysis. RESULTS: There were 4978 other resident physicians and 1119 RQP graduates out of 6097 participants from 593 training hospitals. Being younger; preferring internal, general, or emergency medicine; managing fewer inpatients; and having fewer ER shifts were all characteristics of RQP graduates. In multilevel multivariable linear regression analysis, there was no significant association between RQP graduates and total GM-ITE scores (coefficient: 0.26; 95% confidence interval: -0.09, 0.61; P = .15). The associations of RQP graduates with GM-ITE scores in each category and specialty were not clinically relevant. However, in the same multivariable model, the analysis did reveal that total GM-ITE scores demonstrated strong positive associations with younger age and GM preference, both of which were significantly common in RQP graduates. CONCLUSION: Practical clinical competency evaluated based on the GM-ITE score showed no clinically relevant differences between RQP graduates and other resident physicians.

Abstract Background Formative feedback plays a critical role in guiding learners to gain competence, serving as an opportunity for reflection and feedback on their learning progress and needs. Medical education in Japan has historically been dominated by a summative paradigm within assessment, as opposed to countries such as the UK where there are greater opportunities for formative feedback. How this difference affects students’ interaction with feedback has not been studied. We aim to explore the difference in students’ perception of feedback in Japan and the UK. Methods The study is designed and analysed with a constructivist grounded theory lens. Medical students in Japan and the UK were interviewed on the topic of formative assessment and feedback they received during clinical placements. We undertook purposeful sampling and concurrent data collection. Data analysis through open and axial coding with iterative discussion among research group members was conducted to develop a theoretical framework. Results Japanese students perceived feedback as a model answer provided by tutors which they should not critically question, which contrasted with the views of UK students. Japanese students viewed formative assessment as an opportunity to gauge whether they are achieving the pass mark, while UK students used the experience for reflective learning. Conclusions The Japanese student experience of formative assessment and feedback supports the view that medical education and examination systems in Japan are focused on summative assessment, which operates alongside culturally derived social pressures including the expectation to correct mistakes. These findings provide new insights in supporting students to learn from formative feedback in both Japanese and UK contexts.

PURPOSE: In 2024, the Japanese government will enforce a maximum 80-hour weekly duty hours (DHs) regulation for medical residents. Although this reduction in weekly DHs could increase the self-study time (SST) of these residents, the relationship between these two variables remains unclear. The aim of the study was to investigate the relationship between the SST and DHs of residents in Japan. METHODS: In this nationwide cross-sectional study, the subjects were candidates of the General Medicine In-Training Examination in the 2020 academic year. We administered questionnaires and categorically asked questions regarding daily SST and weekly DHs during the training period. To account for hospital variability, proportional odds regression models with generalized estimating equations were used to analyse the association between SST and DHs. RESULTS: Of the surveyed 6117 residents, 32.0% were female, 49.1% were postgraduate year-1 residents, 83.8% were affiliated with community hospitals, and 19.9% worked for ≥80 hours/week. Multivariable analysis revealed that residents working ≥80 hours/week spent more time on self-study than those working 60-70 hours/week. Conversely, residents who worked <50 hours/week spent less time on self-study than those who worked 60-70 hours/week. The factors associated with longer SST were sex, postgraduate year, career aspiration for internal medicine, affiliation with community hospitals, academic involvement, and well-being. CONCLUSION: Residents with long DHs had longer SSTs than residents with short DHs. Future DH restrictions may not increase but rather decrease resident SST. Effective measures to encourage self-study are required, as DH restrictions may shorten SST.

Clinical physicians have the potential to contribute to the progress of medicine and healthcare through research based on their diagnostic and treatment practices and supported by their educational background. However, in the field of general medicine in Japan, publication of such research in international journals may be limited by challenges in English proficiency and the lack of opportunities to focus on specific research themes amidst the diverse range of diseases treated in clinical practice. Furthermore, novice researchers without prior research experience may lack a comprehensive understanding of the overall research process, including study design and article publication. To address these challenges, we developed a set of 22 milestones that highlight the necessary skills required to conduct and successfully publish clinical research. This guideline will enable novice researchers to identify and address individual barriers to undertaking a research project. These milestones are categorized into five parts: 1) preparing to undertake research; 2) conducting clinical research; 3) writing the article; 4) submitting and achieving acceptance for publication; and 5) advanced skills. For each part, we provide detailed recommendations on the specific steps and methods involved. By working through these 22 milestones, novice researchers can objectively assess their own level of achievement as researchers and continuously clarify the next step of each round of research. Through this set of milestones, we aim to increase the quality and quantity of research publications in general medicine in academic journals, ideally enhancing the overall research process and advancing the field of medicine and healthcare overall.

The study evaluated the effectiveness of near-peer teaching in medical English education and found that it led to higher levels of motivation, curiosity, initiative, self-efficacy, learning goals, and psychological safety among participants compared to traditional teacher-centered approaches. The study also observed behavioral changes and active engagement in English learning among participants. We hope that our activity will inspire other educators to adopt similar approaches in their medical English classes and promote more effective language learning among health professionals.

BACKGROUND: A clinical diagnostic support system (CDSS) can support medical students and physicians in providing evidence-based care. In this study, we investigate diagnostic accuracy based on the history of present illness between groups of medical students using a CDSS, Google, and neither (control). Further, the degree of diagnostic accuracy of medical students using a CDSS is compared with that of residents using neither a CDSS nor Google. METHODS: This study is a randomized educational trial. The participants comprised 64 medical students and 13 residents who rotated in the Department of General Medicine at Chiba University Hospital from May to December 2020. The medical students were randomly divided into the CDSS group (n = 22), Google group (n = 22), and control group (n = 20). Participants were asked to provide the three most likely diagnoses for 20 cases, mainly a history of a present illness (10 common and 10 emergent diseases). Each correct diagnosis was awarded 1 point (maximum 20 points). The mean scores of the three medical student groups were compared using a one-way analysis of variance. Furthermore, the mean scores of the CDSS, Google, and residents' (without CDSS or Google) groups were compared. RESULTS: The mean scores of the CDSS (12.0 ± 1.3) and Google (11.9 ± 1.1) groups were significantly higher than those of the control group (9.5 ± 1.7; p = 0.02 and p = 0.03, respectively). The residents' group's mean score (14.7 ± 1.4) was higher than the mean scores of the CDSS and Google groups (p = 0.01). Regarding common disease cases, the mean scores were 7.4 ± 0.7, 7.1 ± 0.7, and 8.2 ± 0.7 for the CDSS, Google, and residents' groups, respectively. There were no significant differences in mean scores (p = 0.1). CONCLUSIONS: Medical students who used the CDSS and Google were able to list differential diagnoses more accurately than those using neither. Furthermore, they could make the same level of differential diagnoses as residents in the context of common diseases. TRIAL REGISTRATION: This study was retrospectively registered with the University Hospital Medical Information Network Clinical Trials Registry on 24/12/2020 (unique trial number: UMIN000042831).

BACKGROUND: To investigate whether speech recognition software for generating interview transcripts can provide more specific and precise feedback for evaluating medical interviews. METHODS: The effects of the two feedback methods on student performance in medical interviews were compared using a prospective observational trial. Seventy-nine medical students in a clinical clerkship were assigned to receive either speech-recognition feedback (n = 39; SRS feedback group) or voice-recording feedback (n = 40; IC recorder feedback group). All students' medical interviewing skills during mock patient encounters were assessed twice, first using a mini-clinical evaluation exercise (mini-CEX) and then a checklist. Medical students then made the most appropriate diagnoses based on medical interviews. The diagnostic accuracy, mini-CEX, and checklist scores of the two groups were compared. RESULTS: According to the study results, the mean diagnostic accuracy rate (SRS feedback group:1st mock 51.3%, 2nd mock 89.7%; IC recorder feedback group, 57.5%-67.5%; F(1, 77) = 4.0; p = 0.049), mini-CEX scores for overall clinical competence (SRS feedback group: 1st mock 5.2 ± 1.1, 2nd mock 7.4 ± 0.9; IC recorder feedback group: 1st mock 5.6 ± 1.4, 2nd mock 6.1 ± 1.2; F(1, 77) = 35.7; p < 0.001), and checklist scores for clinical performance (SRS feedback group: 1st mock 12.2 ± 2.4, 2nd mock 16.1 ± 1.7; IC recorder feedback group: 1st mock 13.1 ± 2.5, 2nd mock 13.8 ± 2.6; F(1, 77) = 26.1; p < 0.001) were higher with speech recognition-based feedback. CONCLUSIONS: Speech-recognition-based feedback leads to higher diagnostic accuracy rates and higher mini-CEX and checklist scores. TRIAL REGISTRATION: This study was registered in the Japan Registry of Clinical Trials on June 14, 2022. Due to our misunderstanding of the trial registration requirements, we registered the trial retrospectively. This study was registered in the Japan Registry of Clinical Trials on 7/7/2022 (Clinical trial registration number: jRCT1030220188).

In Japan, the Model Core Curriculum for Medical Education, which is the National Model COre CUrriculum for Undergraduate Medical Education, was first published in 2001 and has since been revised to meet the needs of an aged society and the global standardization of medical education. A new quality and ability "Generalism," which is a comprehensive attitude toward patients, has been added to this revision of the model core curriculum. In this letter, we propose an educational strategy for generalism.

Background No previous research has targeted educators regarding educational practice and the achievements of students in terms of the learning objectives of clinical clerkships in university general medicine departments of Japan. We aimed to clarify the characteristics of clinical clerkships in Japanese general medicine departments using a questionnaire administered to chairpersons of university general medicine departments. Methods This was a descriptive questionnaire-based study using Google Forms (Google, Inc., Mountain View, CA, USA). We asked the chairpersons of general medicine departments in Japanese universities the following questions, with responses given on a 5-point Likert scale: Question 1: How well are primary symptoms in the national model core curriculum for undergraduate medical education taught in clinical clerkships in university general medicine departments? Question 2: How successfully can students achieve the learning objectives of the national model core curriculum for undergraduate medical education through clinical clerkships in general medicine departments of university hospitals? Question 3: How successfully can students achieve the learning objectives of the national model core curriculum for undergraduate medical education through clinical clerkships in other community clinics or hospitals? The results of the questionnaire responses are described as mean±standard deviation. Results Of the 71 Japanese universities with general medicine departments, 43 were included in the analysis. For Question 1, the symptoms and pathophysiologies with a mean score of 4 points or higher were fever, general malaise, anorexia, weight loss or gain, edema, abdominal pain, lymphadenopathy, and headache. All those symptoms require basic medical competencies. For Questions 2 and 3, the intramural clinical clerkship of general medicine departments had a higher mean score than the extramural clinical clerkship for diagnostic reasoning that emphasizes medical history and physical examination and a comprehensive approach to patients with multiple health problems. In contrast, the extramural clinical clerkship, in which medical students can build experience with community-integrated care, had a mean score of 3 points or higher for all items. Conclusions The clinical clerkship in general medicine departments of Japanese universities provides students with chances to acquire clinical competencies regarding primary symptoms and pathophysiologies. Additionally, the extramural clinical clerkship provides experience in community-based integrated care, including home medical care, collaboration, health and welfare, and long-term care.

PURPOSE: In 2004, the postgraduate clinical training system in Japan was radically revised by introducing a super-rotation matching system. Although postgraduate clinical training became a mandatory 2 years of training, the program and operation were left to each facility's discretion, leading to training-program popularity differences. The Japanese Tasukigake method provides clinical training in which "hospitals where junior residents work" and "external hospitals/clinics that provide clinical training" conduct clinical training alternately on a 1-year basis. The study aimed to identify the characteristics of university hospitals that implement the Tasukigake method to help educators and medical institutions create more attractive and effective programs. METHODS: All 81 university main hospitals were included in this cross-sectional study. The information regarding Tasukigake method implementation was collected from the facilities' websites. The training program's matching rate (popularity) was calculated from the Japan Residency Matching Program's interim report data (academic 2020). We used multiple linear regression analysis to evaluate the association between Tasukigake method implementation, program popularity, and university hospital characteristics. RESULTS: The Tasukigake method was implemented by 55 (67.9%) university hospitals, significantly more by public university hospitals (44/55, 80%) than by private (11/55, 20%) (P < 0.01) and by hospitals without branches (38/55, 69.1%) than with branches (17/55, 30.9%) (P < 0.001). The maximum hiring capacity of junior residents (P = 0.015) and number of branches (P < 0.001) were negatively correlated, and the population of the hospital's city (P = 0.003) and salary/month (P = 0.011) were positively correlated with the Tasukigake method implementation. Multiple linear regression analysis results showed no significant association between the matching rate (popularity) and Tasukigake method implementation. CONCLUSION: The results show no association between Tasukigake method and program popularity; also, highly specialized university hospitals in cities with fewer branch hospitals were more likely to implement the Tasukigake method.

A 74-year-old Japanese woman was referred to our hospital for leukocytosis that occurred for the past one year. Oral iron supplementation was started as iron deficiency anemia (IDA), but three months later, physical examination revealed flushing of the skin on her hands. Finally polycythemia vera (PV) with IDA was diagnosed. There have been reports of PV combined with IDA, which can mask diagnosis and delay treatment because of the lack of symptoms and the anemic presentation. Several possibilities for the pathogenesis of IDA associated with PV have been proposed, including the presence of Helicobacter pylori.