BMC Research Notes

Background Cardiovascular disease (CVD) risk prediction is an important component of primary prevention, particularly in populations with increasing cardiometabolic risk. Several risk prediction models are available, but their estimates may differ because of differences in derivation populations, predictors, calibration, and cardiovascular outcomes. Evidence comparing these models within Indian occupational populations remains limited. This study compared 10-year CVD risk estimates generated by the World Health Organization/International Society of Hypertension (WHO/ISH) cardiovascular risk charts, the American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equation (ASCVD-PCE), and the Framingham general cardiovascular disease risk equation among university employees in India. Methods A comparative observational study was conducted using standardized health assessment data from 266 university employees. Participants aged 40-74 years were selected to provide a common analytical age range across the three risk prediction approaches. Of 127 employees within this age range, three with documented previous ischemic heart disease were excluded because the analysis focused on primary prevention. The final analytical cohort comprised 124 participants. Blood pressure was assessed using a standardized protocol involving three readings at five-minute intervals, with repeat assessments during three subsequent weekly visits for employees with elevated initial readings. Ten-year cardiovascular risk was estimated using the 2019 WHO/ISH laboratory-based risk charts for the South Asian region, the ASCVD-PCE, and the 2008 Framingham general CVD equation. Agreement between risk categories was assessed using Cohen's kappa and linear weighted kappa. Agreement was also examined at [≥]10% and [≥]20% thresholds. Results The mean age of the 124 participants was 47.63 {+/-} 6.45 years, and 86.3% were male. Diabetes was present in 25.8%, smoking/tobacco use in 19.4%, and 29.0% were receiving antihypertensive treatment. Mean estimated risk was 5.94% for WHO/ISH, 5.95% for ASCVD-PCE, and 12.86% for Framingham. High risk ([≥]20%) was identified in 2.4%, 4.8%, and 20.2% of participants by WHO/ISH, ASCVD-PCE, and Framingham, respectively. Exact four-category agreement was 70.2% between WHO/ISH and ASCVD-PCE, compared with 31.5% between WHO/ISH and Framingham and 26.6% between ASCVD-PCE and Framingham. Cohen's kappa was 0.502 for WHO/ISH versus ASCVD-PCE, 0.079 for WHO/ISH versus Framingham, and 0.047 for ASCVD-PCE versus Framingham. Weighted kappa values were 0.639, 0.323, and 0.342, respectively. Conclusion WHO/ISH and ASCVD-PCE produced closely similar mean risk estimates and substantially greater categorical agreement than either model showed with the Framingham equation. Framingham generated considerably higher 10-year CVD risk estimates and classified a larger proportion of participants into higher-risk categories. These findings highlight the importance of model selection when cardiovascular risk assessment is undertaken in Indian occupational populations and support cautious interpretation of risk estimates derived from models developed in different populations and for different cardiovascular endpoints. Keywords: cardiovascular disease; risk prediction; WHO/ISH; ASCVD; Pooled Cohort Equation; Framingham; India; occupational health; university employees; risk classification

Background. Journal clubs (JCs) are a popular education format. Interest in studying their impact is high, and authors often report positive results related to subjective parameters. Objective assessments of effectiveness are limited and contradictory. In this paper, we share our experience and describe our journal club effectiveness. Methods. We conducted a prospective cohort study within our online journal club. Meetings followed a discussion-based format and were held via Zoom, with timing and topics determined by voting in the club Telegram chat. Enrolment occurred in waves and included an application, entry test, and interview. During each recruitment wave, both club members (treatment group) and applicants (control) completed an admission test assessing knowledge of evidence-based medicine and statistics. Results. The JC currently comprises 27 members. Over the past year, 76 meetings were held, with 75% of participants grading their experience with 9 or 10 on a ten-point scale. Multivariate analysis demonstrated non-significantly results (SMD = 0.19 (95% CI 0.004; 0.38), p = 0.046) among participants. However, in other adjusted models, differences between groups were not statistically significant (p > 0.05). Conclusion. While the analysis of the subjective outcomes is consistent with findings from previous studies, the objective outcomes remain inconclusive. Further research is needed to refine the methodology for the organization and evaluation of journal clubs.

Background. Metabolic syndrome is a cluster of cardiometabolic risk factors that may increase the risk of cardiovascular disease and type 2 diabetes, and African studies report a higher prevalence in women than in men. Prevention may depend, in part, on whether women recognise the condition and its modifiable risk factors. Relatively little appears to be known about this among women using primary-level health facilities in fast-growing peri-urban areas of Ghana. Objective. To assess knowledge of metabolic syndrome, describe lifestyle risk behaviours, self-reported cardiometabolic conditions and preventive practices, and examine selected lifestyle correlates of self-reported diabetes and hypertension among women attending Kasoa Polyclinic, Ghana. Methods. A descriptive cross-sectional survey was conducted in June and July 2024 among 174 women aged 18-45 years recruited by convenience sampling. A structured, interviewer-assisted questionnaire covered knowledge, lifestyle behaviours, self-reported diagnoses and preventive practices. Data were summarised as frequencies and percentages, and associations were examined with Pearson's chi-square test. Results. Only 37 women (21.3%) described metabolic syndrome as a condition that raises the risk of heart disease and type 2 diabetes, 40 (23.0%) identified central (apple-shaped) fat as the high-risk pattern and 31 (17.8%) knew that dietary recommendations exist. Most reported no weekly physical activity (116; 66.7%), daily sugary drinks (109; 62.6%), daily processed or fast food (100; 57.5%), high stress (103; 59.2%), and less than six hours' sleep (94; 54.0%). Self-reported diagnoses were hypertension in 60 (34.5%) and type 2 diabetes in 49 (28.2%). Fifty-nine (33.9%) had never received advice on prevention and 105 (60.3%) did not monitor their weight or waist. Self-reported diabetes was associated with short sleep (36.2% among those sleeping under six hours; p = 0.035) and with stress level (p = 0.028), being most frequent among women reporting low stress. Self-reported hypertension was more common with high stress (42.7%; p = 0.022) and with some physical activity (p = 0.005). Conclusion. Women attending this polyclinic appeared to have limited understanding of metabolic syndrome and a high burden of modifiable risk behaviours. Routine counselling on diet, activity, sleep, and weight monitoring at the polyclinic may be warranted. The bivariate, self-reported associations should be interpreted cautiously.

Background AI use is growing by HPE scholars, and disclosure of that use is required by scientific ethics and journal policy. In spite of growing unease about the meaning, and meaningfulness, of AI-use disclosures in published manuscripts, little is known about how authors represent their AI use in published disclosure statements. Without such understanding, we are ill-equipped to redirect disclosure practices for increased sufficiency and sincerity, undermining efforts towards transparency in the era of AI-supported scholarship Methods In this descriptive qualitative study, 18 HPE researchers with experience disclosing generative AI use in publications from 2025-2026 were interviewed using Zoom. Data collection and thematic analysis proceeded iteratively, exploring participant experiences with AI use, their disclosure decisions, and evolving disclosure practices. Results Participants reported a wide range of experience writing AI-use disclosures (from 1-16 disclosures/participant); in total 31 published disclosures were shared by participants and discussed during the interviews. Our analysis identified four themes: A spectrum of AI uses; Multi-factorial disclosure decisions; Discrepancies between actual and disclosed use; and Emotions around disclosure. Discussion AI-disclosure takes place at the intersection of shared ethical principles and situated pragmatic concerns. Disclosure is both an intellectual and an emotional practice, changing over time as AI use evolves and journal expectations develop. More generative uses may provoke divisive responses and are related to uncertainty about how to disclose, concern about disclosure penalties, and periodic use-disclosure discrepancies. Understanding how researchers are navigating these complexities may help the HPE community articulate clearer guidance for transparent and meaningful disclosure of AI-use in scholarly work. Reflective methodologies can help bring these issues to the surface of ongoing conversations about AI use.

Objectives To examine the prevalence of interruptions during UK secondary care outpatient consultations, their association with clinician mental workload, and the strategies clinicians use to manage them. Design Nationwide cross-sectional online survey. Setting Secondary care outpatient clinics, United Kingdom. Participants A sample of 465 UK secondary care doctors across a range of grades and specialties, recruited through a medical defence organisation's network. Primary and secondary outcome measures Mental workload (NASA Task Load Index, Raw-TLX); interruption frequency; perceived cognitive impact of interruptions; task resumption difficulty; perceived social effects on colleague interactions and team cohesion; and interruption-management strategy use. Results 61.1% of clinicians reported being interrupted often or very often, and mean overall workload was high (Raw-TLX 66.2, SD 11.5). Interruption frequency, patient complexity and perceived cognitive impact were each associated with higher workload across multiple NASA-TLX subscales. In fully adjusted models, interruption frequency retained independent associations with overall workload (beta = 1.79, p = 0.004) and temporal demand (beta = 0.94, p < 0.001). Task resumption difficulty was associated with worse perceived performance (beta = -0.59, p = 0.014), while perceiving interruptions as socially positive was associated with better performance (beta = 0.75, p = 0.003) and lower frustration (beta = -1.16, p < 0.001). Years of experience showed only small effects, and self-reported strategy use (38.7%) was not consistently associated with lower workload. Exploratory natural language processing of open-text descriptions identified three strategy clusters; cognitive offloading, anticipating and preparing, and blunt responses, with distinct emotional profiles. Conclusions Interruptions were commonly reported during UK secondary care outpatient consultations and were associated with measurable cognitive and temporal burden. The perceived social framing of interruptions was independently associated with frustration and self-rated performance. Binary strategy use showed no consistent workload association, indicating a need for system-level approaches addressing interruption frequency, task resumption support and the social context of interruptions rather than reliance on individual coping.

Abstract Objective To estimate the burden and patterns of multimorbidity and cardiometabolic multimorbidity among university employees undergoing a comprehensive health assessment programme, and to examine demographic and behavioural factors associated with multimorbidity. Design Cross-sectional study. Setting A public university in Maharashtra, India. Participants A total of 266 university employees who underwent a comprehensive health assessment were included. Main outcome measures Multimorbidity was defined as the presence of two or more of nine chronic conditions: hypertension, diabetes mellitus, dyslipidaemia, ischaemic heart disease, chronic kidney disease, thyroid disease, stroke, chronic obstructive pulmonary disease and cancer. Cardiometabolic multimorbidity was defined as the presence of two or more of hypertension, diabetes mellitus, dyslipidaemia, ischaemic heart disease and chronic kidney disease. Results Hypertension was identified in 119 participants (44.7%), comprising 50 participants with pre-existing hypertension and 69 newly identified during the assessment. Dyslipidaemia was present in 189 (71.1%) and diabetes mellitus in 45 (16.9%). Overall, 108 participants (40.6%) had multimorbidity and 103 (38.7%) had cardiometabolic multimorbidity. The prevalence of multimorbidity increased progressively with age, from 17.5% among participants aged <30 years to 83.3% among those aged [&ge;]60 years. The predominant exact multimorbidity patterns were hypertension with dyslipidaemia alone (49 participants) and hypertension, diabetes mellitus and dyslipidaemia (27 participants). Overall, 173 participants (65.0%) had at least one newly identified hypertension, diabetes mellitus or dyslipidaemia diagnosis. In multivariable logistic regression, age (adjusted OR [aOR] 1.058 per year, 95% CI 1.027 to 1.091), BMI (aOR 1.163 per kg/m2, 95% CI 1.076 to 1.257) and tobacco use (aOR 3.296, 95% CI 1.377 to 7.888) were independently associated with multimorbidity. The model had an area under the receiver operating characteristic curve of 0.731. Conclusion Multimorbidity affected approximately two in five university employees, with cardiometabolic conditions accounting for most of the observed disease clustering. Comprehensive health assessment identified a substantial burden of previously unrecognised chronic disease. Integrating institutional or occupational health assessment with longitudinal primary care follow-up may provide an opportunity for earlier detection, risk-factor modification and coordinated management of multimorbidity. Keywords: Multimorbidity; cardiovascular diseases; hypertension; diabetes mellitus; dyslipidaemia; occupational health; university employees; India

Occupational ocular injuries are a preventable yet neglected public health problem, particularly in low- and middle-income countries. Maintenance workers are exposed to diverse ocular hazards daily, yet compliance with protective measures is consistently poor. A descriptive cross-sectional study was conducted among 85 maintenance workers at the Maintenance and Essential Services Organization (MESO) of Kwame Nkrumah University of Science and Technology (KNUST), Ghana, recruited through stratified convenience sampling across seven occupational sections. A structured questionnaire assessed knowledge of ocular hazards and protective equipment, attitudes toward ocular safety, and safety practices. Data were analyzed using IBM SPSS version 26 (IBM Corp., Armonk, NY, USA); chi-square and Fishers exact tests assessed associations (p < 0.05). Participants were predominantly male (84/85, 98.8%), with a mean age of 44.5 {+/-} 10.4 years. Overall knowledge was good (mean 9.40 {+/-} 1.59 out of 11), but attitude and practice scores were average (2.78 {+/-} 0.92 and 3.27 {+/-} 0.93, respectively). Most workers correctly identified goggles and face shields as protective, but only about half recognized that ordinary sunglasses and spectacles offer inadequate protection. Although 97.6% (83/85) recognized the need for ocular protection, only 7.1% (6/85) reported consistent protective eyewear use, and fewer than half (45.9%, 39/85) had received formal ocular safety training. Routine general protective equipment use was significantly associated with ocular protection use (Fishers exact test, p = 0.011). Sand and dust particles were the leading causes of injury and only 25% (5/20) of injured workers sought formal care. Workers demonstrated good knowledge but poor attitudes and practices toward ocular safety, suggesting that knowledge alone does not translate into protective behaviour even within a relatively well-resourced institutional setting. Findings suggest that limited access to task-appropriate protective eyewear may represent an important institutional barrier. Institutional PPE supply and section-specific safety training are essential to bridge this knowledge-practice gap.

Introduction Inappropriate use of echocardiograms and stress tests with nuclear components in the evaluation of cardiopulmonary complaints (chest pain, dyspnea/shortness of breath (SOB), dizziness, and syncope) is common, despite Cardiology society guidelines for appropriate use. Such overuse raises healthcare costs, impairs the availability of resources for other patients, and exposes patients to radiation unnecessarily. Our Emergency Department (ED) runs an observation unit that sees thousands of patients annually with cardiopulmonary complaints. We observed many have echocardiograms and stress tests with nuclear components without indications for either. Working with our Department of Cardiology, we promoted guidelines for appropriate use of echocardiograms and stress tests with nuclear components in the evaluation of such patients. Methods We collected 2024 and 2025 data regarding OU admissions. Patents were included if they were [&ge;]18 years, in the ED OU between 1/1/24 and 12/31/25, aad an OU admission complaint of chest pain, dyspnea/SOB, dizziness, and syncope. We calculated the percent of patients with such presentations who received either an echocardiogram or a stress test with a nuclear component. We then compared the 2024 (pre-implementation) data with full-year data from the first full year of implementation (2025). Results After introducing educational guidelines, there were statistically-significant reductions in nuclear stress tests ordered for dyspnea/SOB (absolute reduction 9.3%; p = 0.0009) and overall usage of nuclear stress tests (absolute reduction 2.4%; p = 0.0095). This was offset by increases in echocardiograms ordered for chest pain (absolute increase 3.7%; p = 0.005) and overall usage of echocardiograms (absolute increase 2.0%; p = 0.0454). There was no net change in the overall use of echocardiograms and nuclear stress tests when considered together: 85.2% of patients had one or the other study in 2024 vs. 84.8% in 2025; p = 0.5768. Discussion Introducing and promoting appropriate-use guidelines for echocardiograms and stress tests with nuclear components in the evaluation of cardiopulmonary complaints was associated with a reduction in unnecessary nuclear stress tests, but not echocardiograms. Success of this program to reduce nuclear stress tests may be attributed to several factors. First, the relevant specialties (emergency medicine, cardiology) were engaged. Second, we relied on guidelines adopted by professional organizations. Third, the initiative corresponds to nationwide efforts to decrease cost of care by providing evidence-based diagnostic and treatment management. Failure to reduce echocardiograms may be due to a well-documented multi-year time lag between changes in medical knowledge and wide-scale adoption; failure to develop the guidelines in collaboration with house staff and mid-level providers and promote them at multiple times and venues in a multi-modal manner; and utilize Department leadership to promote their usage.

Evidence-based medicine (EBM) concepts are difficult for medical students to grasp. We developed a Python-Streamlit web application providing interactive visualizations to enhance EBM education. Preliminary use with first year medical students demonstrated high engagement and improved conceptual understanding, supporting the feasibility of integrating interactive, web-based tools into EBM curricula.

Background. A primary constraint on the capacity of EMS programs to meet industry demand is psychomotor instruction and verification, requiring direct observation of each student by a qualified evaluator. Whether AI video analysis can relieve it is untested; none has been applied to EMS skill examination or compared with human examiners. Objective. To quantify human EMS evaluator inter-rater reliability and evaluate an AI video-analysis platform against it. Methods. In a prospective, fully crossed study, five certified EMS evaluators and an AI platform independently scored identical video-recorded EMT performances of cervical collar application (n=15), bag-valve-mask (BVM) ventilation (n=14), and medical assessment (n=15) on dichotomous checklists with critical-failure criteria. Agreement was assessed at item, score, and decision levels using Fleiss' kappa, Krippendorff's alpha, Gwet's AC1, and ICC(2,1)/ICC(2,k). Results. Human item agreement was moderate (kappa 0.409 to 0.467), as was single-rater reliability (ICC(2,1) 0.539 to 0.694), against good panel reliability (ICC(2,k) 0.854 to 0.919). Recorded pass/fail agreement was fair (kappa 0.297 to 0.388) and critical-failure agreement near zero for two skills (kappa 0.028, 0.119). AI alignment tracked rubric observability rather than task complexity: r = 0.857 (collar, exceeding every human), -0.173 (BVM), 0.664 (medical), and it was most lenient on two skills. Conclusions. Human evaluators are an imperfect standard, especially on critical failures. The AI was a legitimate additional rater where checklist items were discrete and visually verifiable, but not where credit required judging continuous quantities such as ventilation rate, volume, or suction duration. Defensible uses are formative and archival, not summative. These results reflect an early, non-specialist configuration: a baseline, not a limit.

Objective: To investigate and establish a baseline for sex and gender considerations in policy, research and curricula across the state of Victoria. Design and setting: Victoria was selected as a case study for Australia, using a mixed-methods approach to examine health and medical university curricula, research organisation policies and research funding between 2020-2025 prior to mandated inclusion. Main outcome measures: Primary outcomes include identification of predefined sex- and gender-related terms in university curricula descriptors and funded grant descriptions; and questionnaire responses from university course coordinators and organisational leads. Results: Data mining across nine Victorian universities (318 courses/3383 units) identified ~93% of units and ~60% of healthcare courses lacked sex and gender terms in their descriptors. Among medical research organisations operating in Victoria, including peak bodies, research institutes, hospitals and universities, ~70% (18/26) of the survey responders reported having no sex and gender policy. Rates of sex- and gender-term inclusion in research grants allocated in Victoria (3388) and Australia-wide (8974) validated Victoria as a case study for Australia for National Health and Medical Research Council (9.5%/8.9% respectively), Medical Research Future Funds (11%/10.2%), and Australian Research Council (4.8%/4.1%). One in nine Victorian awards from five government initiatives and one in ten from 12 non-government agencies included sex- and gender-term related terms in their guidelines. Conclusions: These baseline metrics indicate that sex and gender are still not widely considered in the education and research ecosystems. These findings support the need to build inclusive research policy at a national and state level, and accreditation standards across university education.

BackgroundHair tools such as hairbrushes and combs allow for various styling options to produce desired hairstyles among various people. However, there is the risk of they serving as fomites for infection and contamination especially among people in close habitation. ObjectivesThis study therefore decided to investigate the trend of microbial populations on these hair grooming tools in universities such as KNUST to inform student hygiene practices and disease prevention strategies. Methods30 students were randomly selected for the study, and swab samples from different hairbrushes and combs were taken for microbial investigation. Microbial isolates were identified based on their morphological and biochemical characteristics. Determination of efficacy of different cleaning methods for hair tools was also done. ResultsThe study found an average bacterial and fungal count of 7.4x102 CFU/ml and 4.6x103 CFU/ml, respectively. The bacterial isolates suspected included Staphylococcus aureus, Staphylococcus epidermidis, Streptococcus sp., Bacillus subtilis, and Corynebacterium sp. The fungal isolates included Aspergillus species, Penicillium sp., Rhizopus sp., Neurospora sp., Colletotrichum gloeosporioides and Curlvularia sp. Correlation analysis showed higher bacterial numbers significantly associated with the presence of hair diseases such as dandruff (p=0.046). Water and detergent were found to be the most effective method of eliminating microbial content from hairbrushes and combs. ConclusionThis study uncovered a variety of microbes on KNUST students combs and hairbrushes, which is evident of microbial contamination. While these numbers are relatively low, this study highlights the need for students to still follow good hygiene procedures and implement efficient cleaning techniques of hair tools, as they may still serve as an ideal environment to harbor and transfer microbes

Research Objectives: To evaluate whether publicly available institutional guidance supports patient-information decisions across scenarios and schools, and characterize document synthesis and evaluation consistency. Methods: We conducted an exploratory, vignette-based document analysis of a geographically diverse nonprobability sample of 20 U.S. osteopathic medical schools. Eight educational vignettes yielded 160 school-vignette pairs. Each pair underwent three separate AI-assisted retrieval-and-evaluation runs, classifying decision support as Explicitly Supported, Inferable, Ambiguous, or Not Addressed. Response selection prioritized greater support for discordant pairs, followed by fewer contributing documents and run order. One investigator verified or revised selected discordant classifications against cited evidence. Explicitly Supported and Inferable were grouped post hoc as sufficient decision support. Analyses were descriptive and included an exploratory two-school model-investigator comparison. Results: At least one eligible source was retrieved for 159 of 160 pairs (99.4%). Final classifications were Explicitly Supported for 18 pairs (11.3%), Inferable for 3 (1.9%), Ambiguous for 132 (82.5%), and Not Addressed for 7 (4.4%). Sufficient support occurred in 21 pairs (13.1%), most frequently for generative AI-assisted reflective writing (7/20 schools, 35%), and in none for personal cloud notes or official clinical logs. Ten schools had no sufficiently supported vignette; the maximum was four of eight. Multiple documents contributed to 111 evaluations (69.4%). Three-run ratings were unanimous for 113 pairs (70.6%), with 80.2% pairwise exact agreement. Investigator review retained 44 of 47 selected discordant ratings and revised three upward. In the two-school comparison, the investigator more frequently judged evidence sufficient when models judged it insufficient than the reverse. Conclusions: Relevant public guidance was frequently retrieved, but few school-vignette pairs were classified as providing sufficient scenario-specific decision support. These findings highlight a gap between identifying relevant guidance and determining an appropriate course of action within this evaluation framework. They support institutional review of how student-facing materials explain information use, storage, sharing, and approval requirements. Vignette-based review identifies questions requiring clarification. Evaluation with learners and assessment of internal and clinical-site guidance would help determine how these findings translate to students' decisions.

Objectives: This study aimed to examine physiotherapy students reaction and learning, following Simulation Based Education (SBE) during a Cardiorespiratory module. A further aim was to see if any learning translated into clinical placement. Design: A mixed methods research design consisting of a questionnaire (Phase1) after the activity which was underpinned by the Kirkpatrick model of evaluation. This was followed by a focus groups (Phase 2) after completion of clinical placement. Participants: 92 final year physiotherapy students at a single institution were eligible to participate in the SBE session with n=81 (88%) students completing the survey, and 8 students participating across 2 focus group sessions. Results: Survey: Over 80% of students strongly agreed on a positive initial reaction to SBE. Learning yielded a 76% and above response of strongly agree in all areas except confidence. Students valued SBE as a preferred learning and teaching strategy and wanted more. They welcomed SBE as a supplement but not substitute for clinical placement. Students felt skills learned could be transferred into all areas of clinical practice,, namely communication and decision making. Conclusion: Students rated SBE positively with development of transferable non-technical skills. Reaction to SBE was high in terms of relevance, engagement and satisfaction. Self-perceived confidence, although positive, was the comparatively lowest scoring of the domains. Students advocated SBE as a supplement rather than a substitute for clinical placement preferring a hybrid approach. Contribution of the Paper: Adds to the positive body of evidence which already exists towards SBE, especially in the development of non-technical skills. Suggestions are made that SBE cant make students feel fully confident in preparation for clinical placement. While students in this study expressed that they wanted more SBE and earlier, this paper found that students would not advocate SBE replacing clinical placement.

Background: Parenthood in medicine is an experience fraught with challenges that begin in the pre-conception phase and persist as physician-parents navigate their dual role. Methods: This study aims to understand the experiences of physician-parents (both childbearing and non-childbearing) returning to work after parental leave. Physicians, including residents, affiliated with the University of Toronto Department of Medicine internal medicine division who had a child within the last ten years were invited to participate in a self-administered electronic survey from June2022 to 30June 2023. Data were summarized using descriptive statistics. Results: Twenty-nine respondents took part in the survey; 79% were staff physicians while the remaining were trainees at the time of the survey. At the time their first child was born, 48% were staff members and 52% were trainees. The median duration of parental leave was 5 months (range 1-12 months). Among those for whom lactation was applicable, 76% reported that they continued their lactation efforts on returning to work, while 24% chose not to. Thirty five percent (35%, n=6/17) of respondents cited that they were not provided with duty hour modifications when required. Many respondents (46%) felt guilty about burdening their co-workers for requesting accommodations for childcare. When requested to rate their experiences of balancing their personal and professional lives on a scale of 1-10 (1 being impossible to maintain and 10 being extremely easy to maintain), most respondents (66%) chose a rating of 5 or less. Conclusion: This study supports previous findings that physician-parents face a myriad of challenges integrating their roles in medicine and parenthood. A change in culture is required to support and normalize parenthood for physicians and foster sustainability and productivity in academic medicine.

Background. Designing high-quality Objective Structured Clinical Examination (OSCE) stations is a time-consuming process. Generative artificial intelligence (AI) represents a promising path to accelerate content creation by automating the generation of scenarios. A growing number of AI tools is now available for this purpose. Objective. To assess the variability between generative AI models in their ability to produce OSCE stations in the field of paediatrics. Methods. A structured prompt was developed based on the French national OSCE guidelines for medical education. Five distinct AI models were provided with this prompt, alongside the neonatal jaundice chapter from the French pediatric reference textbook, to generate 6 complete OSCE stations. Results. Prompt compliance was high for ChatGPT 5.1, ChatGPT 5.2, Gemini 3.0 Pro, and Claude Opus 4.5, while it was lower for Grok 4.1. Expert-rated quality was generally high, with few factual errors or missing information across models. However usability differed significantly between models. This was also true for several quality dimensions such as checklist clarity, embedding of checklist answers within vignettes, and ease of standardized patient formation. ChatGPT 5.1 required the most revisions and Gemini most often rated usable as is. Significant inter-model differences were observed in diagnostics, only with ChatGPT 5.1 sampling all three neonatal jaundice categories. Contextual variables showed systematic narrowing across models. Clinical grid density was consistent (10-12 items per station), but thematic distribution differed markedly. Soft skills coverage varied significantly across models (p=0.002), none of them consistently representing all communication competency domains. Conclusion. Large language models can generate structurally compliant OSCE stations, but surface compliance conceals substantive inter-model differences in diagnostic coverage, contextual diversity, and soft skills representation, that compromise content validity. No model currently meets the criteria for unsupervised deployment in a summative assessment bank. The choice of model carries pedagogical implications and expert curation remains essential before integration into high-stakes assessment workflows.

Background Playing-related musculoskeletal disorders are highly prevalent among musicians, yet no validated The aim of this study was to translate and culturally adapt the MPIIQM into Japanese and to examine its psychometric properties in students of higher music education institutions (HMEIs). Methods Forward-backward translation followed ISPOR guidelines, with linguistic validation through pilot testing. Psychometric evaluation was conducted in instrumental music majors enrolled at nine HMEIs in Japan, combining in-person and online surveys. Exploratory factor analysis, Cronbach's , and Pearson correlations with the Brief Pain Inventory (BPI), QuickDASH, and QuickDASH Performing Arts Module (PAM) were computed in symptomatic respondents (n = 48). Symptom prevalence in the full HMEIs sample (n = 226) was compared with national data (Ministry of Health, Labour and Welfare in Japan, 2022) using binomial tests with Holm correction. Results Exploratory factor analysis yielded a two-factor structure (pain intensity; pain interference) explaining 76.8% of the variance. Cronbach's was .864 (pain intensity), .890 (pain interference), and .903 (total). The pain intensity subscale correlated strongly with BPI pain severity (r = .71), and the pain interference subscale correlated with the QuickDASH PAM (r = .62). Test-retest reliability could not be computed because only 9 of 30 retest respondents met inclusion criteria. HMEIs students reported significantly higher prevalence than national peers in 25 of 41 symptoms, most markedly stiff shoulders and low back pain. Conclusions The MPIIQM-J demonstrated adequate structural validity, internal consistency, and convergent validity, and is expected to be useful in educational and clinical settings.

Background Gambling harm is a significant public health concern that is systematically under-recognised in clinical practice. Despite the recent inclusion of gambling disorder in the General Medical Council's Medical Licensing Assessment content map, gambling harm has been largely absent from undergraduate medical education in the United Kingdom, and structured evaluations of gambling harm teaching delivered to medical students have not, to our knowledge, been reported. Methods A single-group, pre-post study of a teaching session on gambling harm was conducted across three sequential cohorts of Year 4 medical students at King's College London during the 2025-2026 academic year. Outcome measures were collected immediately after the teaching with no follow-up. The session was delivered online by Gambling Harm UK, a registered UK charity, and comprised lived experience testimony and teaching with public health and clinical components. Self-reported confidence across six domains was assessed pre- and post-session on a five-point scale, alongside nine post-session attitudinal statements. Paired confidence data were analysed using the Wilcoxon signed-rank test with Hodges-Lehmann estimates of the median paired difference, with a Bonferroni-corrected significance threshold of p < 0.008 applied within each cohort. Results Sixty-eight paired responses were analysed (completion rates of 28%, 24%, and 32%). Statistically significant improvements in self-reported confidence were observed across all six domains in each cohort. Median confidence rose from 'slightly confident' before the session to 'quite confident' afterwards, with median paired improvements of 1.5 to 2.5 points (all p [&le;] 0.001). Post-session attitudinal responses were positive across all nine items, with lived experience the most strongly endorsed. Conclusions A single online teaching session on gambling harm was associated with significant and consistent improvements in self-reported confidence in recognising and responding to gambling harm across three cohorts of medical students. Whether these gains translate into changes in clinical behaviour requires longer-term, multi-site evaluation with behavioural outcome measures. Medical schools should consider how gambling harm teaching might fit within their curricula and evaluate its introduction, with the aim of normalising asking about gambling in routine social history taking alongside alcohol and smoking.

Objectives The association between occupational physical activity (OPA) and cardiovascular disease (CVD) may depend on how OPA is classified. This study examined the association between OPA and incident CVD using individual level and occupational group level classifications, and assessed whether factors contributing to attenuation differed. Methods A total of 137,592 employed UK Biobank participants aged 40 to 69 years who were free of CVD at baseline were included. OPA was classified using (i) individual level self reported physical activity at work and (ii) occupational group level two digit Standard Occupational Classification. Associations with incident CVD were examined using Cox proportional hazards models. Attenuation of associations by sociodemographic, lifestyle, health, occupational and psychosocial factors was assessed using univariate adjustments and Heller's coefficient. Results During 1,656,378 person-years of follow up (median 12.6 years), 10,465 incident CVD events occurred. The association between OPA and CVD differed markedly according to exposure classification. High individual level self reported OPA was associated with increased CVD incidence after full adjustment [hazard ratio (HR) 1.19, 95% confidence interval (CI) 1.10 to 1.27]. In contrast, no association was observed when OPA was classified at the occupational-group level using Standard Occupational Classification groupings (HR 1.00, 95% CI 0.94 to 1.06). Sociodemographic and health factors accounted for the greatest attenuation across both classifications, whereas psychosocial factors contributed primarily to associations based on individual-level self-reported OPA. Conclusions The association between occupational physical activity and incident cardiovascular disease differed substantially according to how OPA was classified. These findings highlight exposure classification as a critical consideration when interpreting evidence on the physical activity paradox.

Objectives: A previously published conceptual mapping review integrated fragmented evidence on dental anxiety (DA) into a broader conceptual model of potential causes and consequences. This study focused on consequences, extending from oral health-related behaviours through oral disease to systemic health, and empirically evaluated these hypothesized relationships on the population level. Methods: Cross-sectional data from the 46-year follow-up of the Northern Finland Birth Cohort 1966 (n = 1,859) were analysed using structural equation modelling. DA was modelled as a latent construct; delayed/problem-oriented dental attendance and home oral care as behavioural proxies; periodontal disease burden as the percentage of sites with probing pocket depth >=4 mm; and cardiovascular risk as a Framingham-based risk score. Generalized anxiety, sex, and education were covariates. Smoking-stratified multigroup analyses assessed model robustness. Results: The prespecified associations were observed across behavioural, periodontal, and systemic-risk domains. Higher DA was associated with more delayed/problem-oriented attendance and poorer home care; both were associated with greater periodontal disease burden, which in turn was associated with higher cardiovascular risk. Model fit was good (chi-square(119) = 529.98, CFI = 0.962, TLI = 0.951, RMSEA = 0.043, SRMR = 0.051). The overall association between DA and cardiovascular risk was small (beta = 0.066, p = .004), with a small decomposed indirect association (beta = 0.013, p = .006) and a remaining direct association (beta = 0.053, p = .022). Smoking-stratified multigroup comparisons found no differences in the structural associations by smoking status. Conclusions: This population-based evaluation provides preliminary empirical support for the conceptual model. Findings extend the relevance of DA beyond dental attendance and oral health outcomes to a broader oral-systemic public-health context. Cross-sectional data cannot establish temporal or causal ordering; longitudinal replication is needed.