Survey on nurse-physician communication gaps focusing on diagnostic concerns and reasons for silence.

Diagnosis improvement requires physician-nurse collaboration. This study explored nurses' concerns regarding physicians' diagnoses and how they were communicated to physicians. This cross-sectional study, employing a web-based questionnaire, included nurses registered on Japan's largest online media site from June 26, 2023, to July 31, 2023. The survey inquired whether participants felt concerned about a physician's diagnosis within a month, if they communicated their concerns once they arose, and, if not, their reasons. The reasons for not being investigated were also examined. The nurses' frequency of feeling concerned about a physician's diagnosis and the barriers to communicating these concerns to the physician were evaluated. Overall, 430 nurses answered the survey (female, 349 [81.2%]; median age, 45 [35-51] years; median years of experience, 19 [12-25]). Of the nurses, 61.2% experienced concerns about a physician's diagnosis within the past month; 52.5% felt concerned but did not communicate this to the physician. The most common reasons for not communicating included concern about the physician's pride, being ignored when communicating, and the nurse not believing that a diagnosis should be made. Our results highlight the need to foster psychologically safe workplaces for nurses and create educational programs encouraging nurse involvement in diagnosis.

Lymphomatosis cerebri caused by adult T cell leukemia/lymphoma: a differential diagnosis for depression: a case report.

BACKGROUND: Primary central nervous system lymphoma is rare, and primary central nervous system T cell lymphoma is relatively uncommon, contributing to < 5% of all cases. Lymphomatosis cerebri, a rare subtype of primary central nervous system lymphoma, is characterized by extensive white-matter lesions on magnetic resonance imaging and nonspecific symptoms, such as cognitive decline and depression. Reports of lymphomatosis cerebri in adult T cell leukemia/lymphoma are limited. CASE PRESENTATION: A 49-year-old Japanese man gradually developed insomnia, anorexia, and weight loss over a 2-month period following work-related promotion. Initially diagnosed with depression, his condition rapidly deteriorated with cognitive decline and motor dysfunction. Despite various treatments, his symptoms persisted within a month. Upon admission, the presence of neurological abnormalities suggestive of a central nervous system disorder raised suspicion of a cerebral lesion. Diagnostic tests revealed extensive brain lesions on imaging and the presence of atypical lymphocytes (flower cells) in the cerebrospinal fluid. The patient was diagnosed with lymphomatosis cerebri due to adult T cell leukemia/lymphoma, a rare presentation in the literature. Due to irreversible brainstem damage and poor neurological prognosis, aggressive treatment was not initiated, and the patient died, with an autopsy confirming the diagnosis. CONCLUSION: Lymphomatosis cerebri with adult T cell leukemia/lymphoma is very rare. It is crucial to promptly consider lymphomatosis cerebri as a differential diagnosis, particularly in cases of rapid cognitive decline and poor treatment response. Recognition of lymphomatosis cerebri as an important differential diagnosis for cognitive decline, and depression is necessary for timely intervention and management. Further research is required to better understand this unique and rare presentation in adult T cell leukemia/lymphoma.

Standardizing Generalist Definitions to Improve Evidence in General Medicine: Addressing Diverse Interpretations and Lack of Consistency.

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.

Evaluation of ChatGPT-Generated Differential Diagnosis for Common Diseases With Atypical Presentation: Descriptive Research.

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.

Performance evaluation of ChatGPT in detecting diagnostic errors and their contributing factors: an analysis of 545 case reports of diagnostic errors.

BACKGROUND: Manual chart review using validated assessment tools is a standardised methodology for detecting diagnostic errors. However, this requires considerable human resources and time. ChatGPT, a recently developed artificial intelligence chatbot based on a large language model, can effectively classify text based on suitable prompts. Therefore, ChatGPT can assist manual chart reviews in detecting diagnostic errors. OBJECTIVE: This study aimed to clarify whether ChatGPT could correctly detect diagnostic errors and possible factors contributing to them based on case presentations. METHODS: We analysed 545 published case reports that included diagnostic errors. We imputed the texts of case presentations and the final diagnoses with some original prompts into ChatGPT (GPT-4) to generate responses, including the judgement of diagnostic errors and contributing factors of diagnostic errors. Factors contributing to diagnostic errors were coded according to the following three taxonomies: Diagnosis Error Evaluation and Research (DEER), Reliable Diagnosis Challenges (RDC) and Generic Diagnostic Pitfalls (GDP). The responses on the contributing factors from ChatGPT were compared with those from physicians. RESULTS: ChatGPT correctly detected diagnostic errors in 519/545 cases (95%) and coded statistically larger numbers of factors contributing to diagnostic errors per case than physicians: DEER (median 5 vs 1, p<0.001), RDC (median 4 vs 2, p<0.001) and GDP (median 4 vs 1, p<0.001). The most important contributing factors of diagnostic errors coded by ChatGPT were 'failure/delay in considering the diagnosis' (315, 57.8%) in DEER, 'atypical presentation' (365, 67.0%) in RDC, and 'atypical presentation' (264, 48.4%) in GDP. CONCLUSION: ChatGPT accurately detects diagnostic errors from case presentations. ChatGPT may be more sensitive than manual reviewing in detecting factors contributing to diagnostic errors, especially for 'atypical presentation'.

The Big Three diagnostic errors through reflections of Japanese internists.

OBJECTIVES: To analyze the Big Three diagnostic errors (malignant neoplasms, cardiovascular diseases, and infectious diseases) through internists' self-reflection on their most memorable diagnostic errors. METHODS: This secondary analysis study, based on a web-based cross-sectional survey, recruited participants from January 21 to 31, 2019. The participants were asked to recall the most memorable diagnostic error cases in which they were primarily involved. We gathered data on internists' demographics, time to error recognition, and error location. Factors causing diagnostic errors included environmental conditions, information processing, and cognitive bias. Participants scored the significance of each contributing factor on a Likert scale (0, unimportant; 10, extremely important). RESULTS: The Big Three comprised 54.1 % (n=372) of the 687 cases reviewed. The median physician age was 51.5 years (interquartile range, 42-58 years); 65.6 % of physicians worked in hospital settings. Delayed diagnoses were the most common among malignancies (n=64, 46 %). Diagnostic errors related to malignancy were frequent in general outpatient settings on weekdays and in the mornings and were not identified for several months following the event. Environmental factors often contributed to cardiovascular disease-related errors, which were typically identified within days in emergency departments, during night shifts, and on holidays. Information gathering and interpretation significantly impacted infectious disease diagnoses. CONCLUSIONS: The Big Three accounted for the majority of cases recalled by Japanese internists. The most relevant contributing factors were different for each of the three categories. Addressing these errors may require a unique approach based on the disease associations.

Distribution of internal medicine rotations among resident physicians in Japan: a nationwide, multicenter, cross-sectional study.

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.

How Do We Establish the Utility and Evidence of General Medicine in Japan?

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.

Association of sleep quality with duty hours, mental health, and medical errors among Japanese postgraduate residents: a cross-sectional study.

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.

Educational strategies related to information science and technology for medical students: General medicine physicians' perspective.

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.

Association between mentorship and mental health among junior residents: A nationwide cross-sectional study in Japan.

Background: Mentorship is a dynamic, reciprocal relationship in which an advanced careerist (mentor) encourages the growth of a novice (mentee). Mentorship may protect the mental health of residents at risk for depression and burnout, yet despite its frequent use and known benefits, limited reports exist regarding the prevalence and mental effects of mentorship on residents in Japan. Methods: We conducted a cross-sectional study involving postgraduate year 1 and 2 (PGY-1 and PGY-2) residents in Japan who took the General Medicine In-Training Examination (GM-ITE) at the end of the 2021 academic year. Data on mentorship were collected using surveys administered immediately following GM-ITE completion. The primary outcome was the Patient Health Questionaire-2 (PHQ-2), which consisted depressed mood and loss of interest. A positive response for either item indicated PHQ-2 positive. We examined associations between self-reported mentorship and PHQ-2 by multi-level analysis. Results: Of 4929 residents, 3266 (66.3%) residents reported having at least one mentor. Compared to residents without any mentor, those with a mentor were associated with a lower likelihood of a positive PHQ-2 response (adjusted odds ratio [aOR] 0.75; 95% confidence interval [95% CI] 0.65-0.86). Mentor characteristic significantly associated with negative PHQ-2 response was a formal mentor (aOR; 0.68; 95% CI 0.55-0.84). Conclusions: A mentor-based support system was positively associated with residents' mental health. Further research is needed to determine the quality of mentorship during clinical residency in Japan.

Characteristics of Medical School Deans and University Hospital Directors in Japan.

This cross-sectional study investigates characteristics, including sex, postgraduate experience, and specialty, of medical school deans and university hospital directors in Japan.

Three Subtypes of Cutaneous Nerve Entrapment Syndrome: A Narrative Review.

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.

Idiopathic segmental anhidrosis in an older patient presenting with recurrent dizziness.

Dizziness is one of the most common complaints encountered in the outpatient clinic, which is difficult to diagnose, especially in older patients because of the multifactorial nature of the disease. Although not commonly recognised, anhidrosis can also cause dizziness.We report a case of a woman in her 70s who presented with long-term recurrent dizziness. She had a history of frequent hospitalisations for heatstroke. Physical examination revealed markedly less sweating in the left axilla and soles than in the right. Minol test revealed that most of the left side of her body, including the face, was anhidrotic. She was diagnosed with idiopathic segmental anhidrosis. We administered steroid pulse therapy without observing any significant effects.Although anhidrosis is a rare disorder, a careful interview and physical examination should be conducted to confirm a history of heatstroke and the absence of sweating to avoid missing the disease.

Empathy Among Physicians and Nurses in Japan: A Nationwide Cross-sectional Study.

BACKGROUND: Empathy with patients improves clinical outcomes. Although previous studies have shown no significant differences in empathy levels between physicians and nurses, investigations have not considered differences in cultural backgrounds and related factors of healthcare providers at the individual level. OBJECTIVE: This study compares empathy between physicians and nurses in Japan and identifies relevant factors that contribute to these differences. DESIGN: A cross-sectional survey design was used in the study. The online survey was conducted using the Nikkei Medical Online website. PARTICIPANTS: A total of 5441 physicians and 965 nurses in Japan who were registered as members of Nikkei Medical Online were included. MAIN MEASURES: Empathy was measured by the Jefferson Scale of Empathy (JSE). KEY RESULTS: Cronbach's α was 0.89. The mean JSE score for Japanese physicians was significantly lower at 100.05 (SD = 15.75) than the mean score of 110.63 (SD = 12.25) for nurses (p<0.001). In related factors, higher age (increasing by one year) (+0.29; 95% CI 0.25 to 0.32; p<0.001), self-identified female gender (+5.45; 95% CI 4.40 to 6.49; p<0.001), having children (+1.20; 95% CI 0.30 to 2.10; p=0.009), and working at a hospital with 20-99 beds (+1.73; 95% CI 0.03 to 3.43; p=0.046) were significantly associated with higher scores, whereas those whose mother is a physician (-6.65; 95% CI -8.82 to -4.47; p<0.001) and father is a nurse (-9.53; 95% CI -16.54 to -2.52; p=0.008) or co-medical professional (-3.85; 95% CI -5.49 to -2.21; p<0.001) were significantly associated with lower scores. CONCLUSIONS: Physicians had significantly lower scores on the JSE than nurses in Japan. Higher age, self-identified female gender, having children, working at a small hospital, having a mother who is a physician, and having a father who is a nurse or co-medical professional were factors associated with the level of empathy.