Health Expectations

Background: Patient satisfaction is a key measure of healthcare quality among people experiencing homelessness. Student-run free clinics (SRFCs) provide care to underserved populations, but the role of student involvement in patient satisfaction remains unclear. Methods: We conducted a cross-sectional study of patients receiving care at an SRFC. From February 2024 to February 2025, patients completed post-visit surveys assessing satisfaction that were evaluated using regression analyses. Results: Eighty-eight patients completed surveys, reporting high overall satisfaction (mean 9.26/10). In separate linear regression models adjusted for age, gender, and race, greater perceived benefit of student involvement was associated with higher satisfaction ({beta} = .298, p = .037), whereas perceiving the visit as too long was associated with lower satisfaction ({beta} = -.285, p = .019). Conclusion: Greater perceived benefit of student involvement was associated with higher patient satisfaction, whereas longer perceived visit duration was associated with lower satisfaction. These findings highlight the importance of balancing educational opportunities with efficient workflows in SRFCs.

Background: Pregnancy is a uniquely complex ethical and clinical context in which precision medicine approaches, including genomics-driven risk prediction tools, biomarker-based stratification, and data-intensive analytics, are rapidly evolving. There is a need for community consultation on the ethical, social, and practical implications of precision medicine in pregnancy research and healthcare. Aim: The primary aim of this study was to engage healthcare consumers to build consensus on the acceptability of precision medicine approaches in pregnancy research and healthcare. We also sought to identify consumer priorities for future research. Methods: A two-round modified Delphi study was conducted to determine consumer opinions on the use of precision medicine approaches in pregnancy research and healthcare. Seven in-person workshops (round one) were held, with purposeful recruitment to ensure a representative group of healthcare consumers who engage with the healthcare system during pregnancy. These included first-time parents, culturally and linguistically diverse women, Aboriginal and Torres Strait Islander women, and women and their partners who had experienced previous pregnancy complications. Recruitment was conducted through established advocacy networks, and each workshop was facilitated by representatives from each organization. A second-round online survey, based on workshop content, was completed to assess the acceptability of precision medicine and to determine consumer priorities for future precision medicine research on pregnancy health. Results: Precision medicine research and the implementation of new technologies in clinical care were acceptable to participants; however, the need for transparency and trust between participants and researchers regarding the use and storage of genetic material was highlighted, particularly among Aboriginal and culturally and linguistically diverse participants. Outcomes related to survival and perinatal complications (stillbirth, preterm birth, and labor complications) were the highest-rated consumer research priorities, along with maternal mental health and breastfeeding. When asked whether participants would like to see PM available as part of routine pregnancy care for conditions with available treatments, complete consensus (100%) was reached. Conclusion: Healthcare consumers strongly support the use of precision medicine in pregnancy research and its translation into routine clinical care, particularly when effective interventions are available. However, implementation must be underpinned by transparency, trust, culturally appropriate governance, and clear communication about the collection, storage, and use of genetic material. These findings provide a consumer-informed framework for prioritizing future precision medicine research and guiding its responsible translation into pregnancy care.

Background: Diabetes poses a major global health and economic burden, and effective self management is essential for preventing complications. The National Health Service in England has recently announced plans to shift from analogue to digital services in their 10-year plan. However, digital health technology may also risk widening existing inequalities. MyWay Diabetes is a digital self-management intervention implemented in three regions across England. Understanding the acceptability of online and digital tools to support diabetes self-management, particularly among non users and underserved groups, is essential to ensure equitable engagement and implementation. Objectives: To (1) explore barriers to using online and digital support across diverse demographic groups with type 1 and type 2 diabetes who had not used the MyWay Diabetes platform, and (2) identify factors that could improve uptake and continued engagement. Design: Cross-sectional qualitative study. Methods: We conducted six focus groups with n=35 people living with diabetes (27F, 8M; 40% Asian British Pakistani) across three regions in England. The Theoretical Framework of Acceptability (TFA) informed data collection and analysis. Data were transcribed and analysed thematically using template analysis, mapped onto constructs of the TFA. Results: Digital engagement in diabetes self management was shaped by intersecting personal, social, and healthcare system factors. Participants' confidence with navigating digital environments was constrained by the emotional and practical burden of living with diabetes. Social and structural barriers, including cultural mismatch, accessibility challenges, financial constraints, and reliance on family further limited meaningful use of digital tools. Engagement was strongly influenced by trust in healthcare professionals and services; digital tools were considered acceptable when they complemented person-centred care, but resisted when perceived as replacing personalised, face to face support. Conclusions: Digital support for diabetes self management is more likely to be acceptable when it aligns with people's capabilities, social circumstances, and trusted healthcare relationships. Therefore, to prevent widening inequalities, digital tools should be accessible, culturally relevant, and embedded within supportive, person centred models of care. Lived Experience or Public Contribution: Public contributors with lived experience of diabetes (3F, 3M) reviewed participant materials and pseudonymised focus group transcripts, providing feedback on recruitment, data collection, and interpretation. Their insights informed analysis and theme development, ensuring a lived-experience perspective. Our public co-applicant is a co-author on this manuscript.

Background Anxiety, depression and menstrual problems are conditions that significantly impact an individual's health and wellbeing yet, barriers to healthcare can prevent access to appropriate medical care. Trust in doctors is a notable factor as previous studies have shown that it affects engagement with healthcare services and has declined in recent years. Methods Using the Avon Longitudinal Study of Parents and Children, we investigated associations between trust in doctors and healthcare access at two timepoints, for anxiety, depression (mothers and partners) and menstrual problems (mothers only). Results Mothers reporting greater trust in doctors were more likely to access care for anxiety (n=1849, adjusted odds ratio (AOR) 1.11, 95% confidence interval (95% CI) 1.08-1.14), depression (n=2411, AOR 1.10, 95% CI 1.07-1.12), and menstrual problems (n=1723, AOR 1.04 95% CI 1.01-1.06). If mothers and partners endorsed 'the doctor is always helpful', they were more likely to access care for depression (mothers: n=2005, AOR 1.30, 95% CI 1.16-1.46; partners: n=580, AOR 1.46, 95% CI 1.05-2.03) and for anxiety (mothers: n=1892, AOR 1.35, 95% CI 1.19 to 1.54; partners: n=734, AOR 1.40, 95% CI 1.02-1.91). Implications This study supports association between trust in doctors and healthcare access for anxiety, depression and menstrual problems, particularly amongst mothers. This contributes to previous literature that suggests that trust remains an important factor in understanding treatment gaps, and that researchers and clinicians must work to improve public trust in healthcare systems.

Background: As musculoskeletal physiotherapy evolves toward advanced practice and direct access, evaluating high levels of clinical competence has become pressing. Quality indicators underpin large-scale audit systems, but indicators discriminating advanced competence remain insufficiently defined. Objective: To identify and characterize indicators capable of discriminating high levels of clinical competence in musculoskeletal physiotherapy. Methods: A modified Delphi comprised an exploratory pre-round and two consensus rounds. Experienced French-speaking musculoskeletal physiotherapists were recruited using an expertise scoring grid. Candidate indicators, generated from open-ended responses and existing quality indicators, were rated on 6-point Likert scales for relevance, formulation, and tool adequacy. Consensus was predefined as [≥]75% of ratings [≥]5. Results: Thirty-two experts completed the pre-round, 29 the first round, and 27 the second (84% retention), generating 49 candidate indicators. Thirteen reached consensus for relevance, and 10 also for formulation. Retained indicators primarily reflected advanced clinical reasoning: real-time adaptation, hypothesis prioritization, decision-making under uncertainty, and error management. Only one outcome indicator reached consensus: clinical performance weighted by case complexity. Conclusion: High levels of clinical competence in musculoskeletal physiotherapy appear characterized less by standardized outcome attainment than by managing complexity, uncertainty, and error through advanced clinical reasoning. These findings may inform competence-oriented audit and feedback systems. Trials registration: Not applicable.

Background: Care home research often fails to address issues that matter most to residents, families, and staff. Priority-setting exercises can help reduce this lack of inclusivity, but few have received significant resident responses. Objectives: To identify research priorities of UK care home stakeholders (including residents; relatives; care staff, managers and owners; healthcare professionals; policymakers and researchers), and to assess whether these priorities can be addressed using existing research datasets. Methods: PREACH was an 18-month research priority-setting study involving 1063 stakeholders, across 50 care homes, including 381 residents. Participants submitted ideas of what care home research should focus on through 1) care home activity sessions or 2) an online survey. Responses underwent content analysis to identify themes, and these themes were mapped against a national repository of care home trial data. Results: Fifty-one themes were identified. The most frequent priority across all stakeholder groups was access to meaningful activities for residents (22%). Relatives and residents emphasised social connection and day-to-day experience, whereas staff more often highlighted system pressures. No stakeholder-prioritised topics were directly addressable using existing secondary datasets. Conclusions: Collaboration with care home teams to reach large numbers of residents offers a practical route to producing more relevant and timely care home research. Care home stakeholders consistently prioritise quality of life, meaningful activity and staffing over disease-specific or health-focused research. Existing research datasets measure relatively few of the priorities identified by residents, highlighting the need for resident-centred outcome measures and data collection.

Across the UK, older adults in deprived areas like Barnsley are spending more of their lives in poor health. Alongside increased loneliness, this creates barriers to leading active healthy lives that can lead to decreases in the quality of life of residents and increased pressure on healthcare services. To address these issues, Barnsley Council brought together over 80 providers of physical activity classes for adults aged 50 and over as part of a joined up partnership called the Barnsley Older People Physical Activity Alliance (BOPPAA). The evaluation will explore how effectively the joined up partnership (BOPPAA) works in helping older adults lead active health lives by collecting information on involvement in the classes, and speaking to residents and organisations to get their thoughts and opinions. The findings will be used to help understand how BOPPAA can be improved to better meet the needs of the local population.

Abstract Objective: The Nationwide Quality of Life Scale (NQLS) is a brief, public-domain, youth self-report measure designed for quality of life (QoL) reporting in measurement-based care (MBC). Preliminary psychometric support comes from a sample of treatment-seeking youth, but its use in a population-based sample has not been evaluated. This study examined the NQLS psychometric performance in a U.S. nationally representative sample and develops national norms, score interpretation guidance, and clinical significance benchmarks. Method: A nationally representative sample of 1,008 youth ages 12-18 completed the NQLS as part of a larger survey battery. Analyses included exploratory and confirmatory factor analysis, reliability, validity, item response theory, and generalized additive models for location, scale, and shape (GAMLSS) norming. We integrated these results with clinical data from 1,200 youth seeking treatment at a large Midwestern children's hospital to estimate clinical significance benchmarks and compare between groups. Results: One- and two-factor solutions were evaluated. The NQLS demonstrated good internal consistency and convergent validity, with distinguishable 'life' and 'school' factors. Normative percentiles were generally stable across age, with modest narrowing at the youngest and oldest ages. Normative-sample youth showed raw score and latent trait estimates significantly higher than clinical-sample youth. Conclusions: The NQLS provides reliable and valid measurement of QoL in a nationally representative sample. Although two structural factors were identified, the composite score is recommended for clinical decision-making. National norms and clinical significance benchmarks may facilitate MBC applications of the NQLS. Future research should evaluate its performance across additional care settings. Keywords: Quality of life, assessment, psychometrics, youth, measurement-based care, norms

Background: Patient-facing AI intake chatbots can enter clinical use without regulatory review, so their errors may first surface with actual patients. Objective: To develop and pilot a remote, voice-based standardized patient (SP) method for evaluating an intake chatbot's history-taking, documentation, and patient-centeredness. Methods: Four primary care cases had Easy and Difficult variants. In Phase 1, five SPs completed 40 encounters with internal medicine residents rating portrayal fidelity. In Phase 2, SPs completed 80 encounters with a ChatGPT 4o chatbot, recorded whether critical elements were asked about and addressed satisfactorily, and rated summaries; four debriefing interviews were analyzed. In Phase 3, two blinded clinicians rated transcripts and summaries from 101 encounters (32 resident-led, 69 chatbot-led). Results: Portrayal fidelity averaged 4.52 of 5. The chatbot asked about 59.3% of critical elements in Easy versus 50.2% in Difficult variants (adjusted OR 1.49; 95% CI, 1.15 to 1.93) and addressed 73.3% versus 64.6% (OR 1.47; 1.12 to 1.93); near-ceiling summary quality did not differ. SPs reported missed information and rushed pacing. Reviewer agreement was moderate to substantial for element judgments (AC1 0.49 to 0.70) but poor for totals (ICC 0.10 and 0.21). In exploratory comparisons, residents asked about more elements (adjusted difference 12.5 percentage points; 95% CI, 7.0 to 18.1) and satisfactorily addressed more (9.2 points; 3.8 to 14.6); totals did not differ. Conclusions: SP portrayal was consistent enough for pre-clinical chatbot evaluation, and the method detected lower coverage in harder cases. Documentation ratings alone may miss conversational gaps, which require direct measurement.

Background: Large language models (LLMs) configured as virtual patients may expand structured practice of clinical reasoning in health professions education. Before testing effectiveness, it must be established whether students engage with them and whether the resulting scores are complete, reliable, and related to performance with real patients. Our earlier pilot randomized trial found very low engagement with a less structured LLM-based approach. Objective: This study aimed to assess the feasibility (adherence, acceptability, and data completeness) of a revised, structured LLM-based clinical reasoning laboratory (Laboratorio de Inteligencia Artificial [LIA]) in undergraduate physical therapy education and to explore its measurement properties, including its association with clinical judgment with a real patient assessed with the Lasater Clinical Judgment Rubric (LCJR). Methods: In this single-arm pilot feasibility study, 27 third-year physical therapy students at a Spanish university completed, in 2024-2025, 3 virtual patient cases (lumbar, cervical, and thoracic spine pain) simulated by ChatGPT (GPT-4) over 4 weeks, each twice. ChatGPT scored each attempt from 0 to 4 on the same 10 dimensions of the Lasater Clinical Judgment Rubric (LCJR; 0-40 points) that human assessors applied (1-4 per dimension; 10-40 points) during a real patient encounter. Feasibility outcomes were case completion, data completeness, and satisfaction (0-10). Measurement outcomes were internal consistency and convergent validity (Spearman correlations between model-generated and human LCJR scores). Variability estimates informed the sample size of a future trial. Results: All 27 students were assessed with the LCJR; 22 (81%) completed at least 1 LIA case. Both attempts of the lumbar, cervical, and thoracic cases were completed by 78%, 63%, and 74% of students, respectively. Satisfaction data were available for 15 students (56%; mean 6.0, SD 1.3), and missing secondary data clustered in the third rotation. Internal consistency was excellent for the LCJR (alpha=.96) and ranged from .43 to .90 for model-generated ratings. Model-generated LIA scores clustered near the maximum (mean 36.0, SD 1.4). Among completers, LIA scores correlated weakly with the LCJR (rho=0.25, 95% CI -0.20 to 0.61; rho=0.44, 95% CI 0.05-0.71, when noncompleted attempts were scored as 0). Grade point average correlated almost perfectly with the LCJR (rho=0.96; n=22); after adjustment for it, the LIA-LCJR association disappeared (partial rho=-0.10). A future trial would require approximately 39 students per group (80% power, conservative variance). Conclusions: Delivering the LIA within the curriculum was feasible, but clinical judgment ratings generated by ChatGPT did not reflect those of human assessors with a real patient: they clustered near the maximum and showed no convergent validity once noncompletion was separated from performance. LLM-generated ratings should not be used as outcome or assessment measures without validation against human raters. Case calibration, completion tracking, and clarification of the GPA-LCJR relationship are also needed before a definitive trial. Trial Registration: ClinicalTrials.gov NCT06809634; https://clinicaltrials.gov/study/NCT06809634

Those leaving military service frequently present with complex psychosocial problems, but military veterans are often reluctant to engage with statutory healthcare provision. Specialist mental health services have recently been established in the UK to specifically support military veterans with their psychological and social wellbeing. We explored the treatment and support provided by the London branch of a military veterans mental health and wellbeing service (Op COURAGE) from the perspectives of the multidisciplinary service team and their partner organisations and collaborators. We conducted semi-structured interviews with multidisciplinary service staff and members of their partner organisations and external agencies. Qualitative data were analysed using framework analysis.?A total of 16 professionals participated in this study, comprising five service staff, eight collaborators and three partner agency participants. Five themes with subthemes were identified, including (1) blended networks, (2) staff inclusivity and sensitivity, (3) spectrum of psychosocial interventions and holistic support, (4) referral mechanisms, and (5) (in)visibility of the service and advertising. Our evaluation highlighted the advantages of a multidisciplinary team and collaborative partnerships to meet the psychosocial needs of veteran and their significant others. We have proposed that service improvement could include increasing advertisement about this specialist service, deepening knowledge about veterans among staff and further involving veterans and key stakeholders in service decisions.

Bangladeshi immigrants are a rapidly growing U.S. immigrant population, yet little is known about how pre-migration healthcare experiences shape healthcare use after migration. This qualitative study explored how healthcare norms from Bangladesh influence the health-seeking behaviors of Bangladeshi immigrants in the U.S., the barriers and facilitators they encounter, and their perceptions of care quality. Semi-structured interviews were conducted with 29 Bangladeshi-born adults living in the U.S. from September 2020 to January 2021 and analyzed using the constant comparative method. Participants described healthcare expectations shaped by the healthcare system of Bangladesh, which is mostly out-of-pocket and resource-limited, including symptom-driven rather than preventive care, self-treatment, and family-based caregiving. In the U.S., they faced barriers such as insurance confusion, long waits, difficulty establishing care, coverage disruptions, financial concerns, and language challenges. While participants valued culturally and linguistically concordant care, preferences for Bangla-speaking or co-ethnic providers varied, especially when perceived quality was low. Community networks, online information, self-education, and self-advocacy helped facilitate care. Provider communication strongly shaped perceptions of U.S. healthcare: feeling heard, respected, and well-informed promoted trust, while dismissal or delayed diagnosis led to skepticism and avoidance. These findings suggest that healthcare engagement of Bangldeshi immigrants is shaped by both structural barriers and pre-migration norms. Improving access will require attention to subgroup-specific histories, insurance navigation, language access, and the relational quality of care.

Chronic pain and insomnia are common, each has serious consequences and they often coexist [1-5]. This novel study employed a phenomenological method to explore adults lived experiences of the core and meaning of comorbid insomnia and pain, here conceptualized as COMIP. The empirical data is based on 22 semi-structured interviews with adults with COMIP. Each interview was analysed, developing themes and analytical frameworks for all participants, which were then compared to construct one main analytical framework. The consolidated criteria for reporting qualitative research were used [6]. The essence of COMIP was: A vicious cycle of insomnia and pain driven by four intertwined primary factors with cross effects, which reduced sleep quality and quality of life. Four main themes emerged: Firstly, insomnia with hyperarousal like racing thoughts, and difficulties with finding comfortable sleeping positions due to pain, disturbed sleep and decreased sleep quality. Secondly, daytime symptoms like reduced energy, with reduced daytime function and reduced quality of life. Thirdly, 24-hour hyperarousal, stress and distressing experiences such as suffering. Finally, contextual factors like treatment reduced and/or increased COMIP. The main contribution of this research is three-fold; mapping of the experiences of living with COMIP, the conceptualization of COMIP, and introduction of novel concepts. Our findings indicate that, when evaluating patients with COMIP, there is value in exploring the four COMIP factors. Although, it varies between individuals which factor/s is central to their COMIP experience, we emphasize that COMIP is distressing, and patients are likely to need emotional support and validation. Keywords: COMIP, sleep, phenomenology, disability, rehabilitation, ICF.

Background: Unpaid caregiving is a recognised social determinant of health, yet most research treats it as a fixed exposure measured at a single time point, and little is known about how patterns of caregiving transitions relate to health behaviours. Methods: Secondary analysis of the UK Household Longitudinal Study (waves 2 to 13, approximately 2010 to 2023; n=25,049). Latent class analysis was applied to binary caregiving status across 12 waves to identify caregiving trajectories. Associations between trajectories and four health behaviours (physical inactivity, fruit and vegetable consumption, problematic drinking, current smoking) at waves 7 to 13 were estimated using logistic and linear regression, adjusting for sociodemographic, health and baseline behavioural confounders. Results: An eight-class solution identified a non-caregiving class comprising 62.9% (n=15,760) of the sample. Among caregivers (n=9,289), trajectories were Temporary (20.0%), Former-short (20.2%), Former-long (10.9%), Emerging-short (15.4%), Emerging-long (11.6%), Long-term (15.7%) and Recurrent (6.3%). In fully adjusted models, Recurrent caregivers had higher odds of smoking (OR=1.67, 95%CI: 1.17 to 2.40) compared with non-caregivers but lower odds of physical inactivity (OR=0.65, 95%CI: 0.53 to 0.81) and problematic drinking (OR=0.75, 95%CI: 0.59 to 0.94). Associations for other trajectory classes were largely attenuated after adjustment. Conclusion: The pattern and timing of caregiving transitions are an under-explored dimension of the caregiving experience. Recurrent caregivers had a distinctive profile, with elevated smoking but lower physical inactivity and problematic drinking. Recurrent caregiving should be recognised alongside intensity and duration, and support systems better equipped for people who move into and out of care repeatedly.

Purpose: Stimulability testing involves the evaluation of multiple aspects of a patient's behavior, but the results are most frequently consolidated into a single domain (i.e., "stimulable"). The current study performs preliminary content, construct, concurrent, and predictive validation for the Multidimensional Stimulability Profile for Voice (MSP-V), a rating scale designed to measure multiple domains during stimulability testing (Degree of Change, Rapidity of Change, Generalization, Patient-rated Voice Quality, Patient-rated Voice Feel, and an overall rating of Stimulability Level). Methods: 78 patients with voice disorders (24 functional, 15 structural, 39 neurological) were administered the MSP-V by five speech-language pathologists (SLPs). Content validity was evaluated via the Content Validity Index (CVI) completed by nine voice-specialized SLPs. Construct validity was evaluated via exploratory factor analysis. Concurrent validity was assessed by determining whether MSP-V domains scaled in the expected direction compared to categorical stimulability ratings (e.g., "Highly stimulable" vs. "Stimulable"). Predictive validity was assessed by examining the relationship between MSP-V domains and voice disorder diagnosis, return to voice therapy, and patient-reported practice outside of therapy. Results: The CVI reached the critical value for clinician-rated and patient-rated domains. Two distinct factors were identified during EFA, one consisting of clinician-rated domains and the other of patient-rated domains. All MSP-V domains showed the expected directional relationships as categorical stimulability ratings. No domains differed significantly between disorder etiologies. The Rapidity of Change and Stimulability Level domains both significantly predicted return for voice therapy, where participants who rated lower on each domain were more likely to return to for voice therapy. No domains were predictive of patient-reported practice. Conclusions: The MSP-V is a clinically feasible tool with emerging content, construct, concurrent, and predictive validity that could be used to provide increased clarity and precision in stimulability testing documentation for research and practice.

Introduction: Primary care electronic health records (EHRs) are an important resource for health research, but death recording in primary care EHRs may be incomplete or differ from Office for National Statistics (ONS) death registrations. We used OpenSAFELY-TPP to assess the completeness and concordance of death recording and provide recommendations for using date-of-death information. Methods: Using linked primary care EHRs and ONS death registrations, we assessed whether ONS-registered deaths from 2020-2025 had a primary care date of death and, where present, calculated the difference between dates. Where a primary care date was absent, we assessed death-related SNOMED CT codes. Analyses were conducted overall and by year, population subgroup, and general practice. We also examined GP registration end dates and primary-care-recorded deaths without a corresponding ONS record, including monthly patterns near the data extraction date. Results: Among 1,409,275 ONS-registered deaths, 88% had the same date recorded in primary care and 8% had no corresponding primary care date. Among 1,324,995 deaths recorded in primary care, <2% had no corresponding ONS record. Deaths recorded in only one source were more frequent among people aged <45 years and those from Mixed, Asian or Asian British, Black or Black British, and Chinese or Other ethnic groups. ONS-only dates were also more frequent in London and the West Midlands. Primary-care-only deaths increased close to date of data extraction, reaching 7% in February 2026. Same-day GP deregistration increased from 9% in 2020 to 85% in 2025. Conclusions: Death recording in primary care EHRs showed high completeness and concordance with ONS registrations, but discrepancies remained for recent deaths and some population groups. Data recency and population-specific completeness should therefore be considered when using linked mortality data for research.

Background: Workplace discrimination and violence against health workers including sexual harassment is a societal problem worldwide. We aimed to assess the frequency, predictive factors, and effects of sexual harassment using a nationwide survey of physicians working in Switzerland. Materials and Methods: We conducted a self-administered questionnaire survey of physicians working in Swiss healthcare institutions. The questionnaire assessed experiences of sexual harassment at work, including frequency, types, and sources of harassment. It also asked about the impact of sexual harassment, whether incidents were reported, and what actions were taken following a report. Results: Among the 1837 physicians that participated in the survey, 575 (31.3%) had experienced sexual harassment at least once during their career. Among those reporting sexual harassment, 39.1% of women and 13.2% of men had experienced harassment at least once in their job. Women reported more verbal harassment, while men reported more physical harassment. Women were also more likely to face both forms combined. The main sources of harassment were colleagues of the same profession (46.7%), patients (42.3%), and superiors (41.0%). The most frequently reported impacts included stress (60.1%), emotional exhaustion (34.7%), reduced motivation at work (30%), and considering leaving the job (7.5%). Gender-men was associated with a lower likelihood of experiencing harassment 0.24 (0.18 to 0.31), whereas working in the German-speaking region was associated with a slightly higher likelihood of having experienced sexual harassment at least once (OR 1.35, 95% CI:1.02-1.81). Conclusions: Sexual harassment is common among physicians in Swiss healthcare institutions. It adversely affects the mental health and career trajectories of both men and women yet remains widely underreported due to fears of reprisals and inaction. Institutions should effectively intervene to ensure that reported incidents result in appropriate actions, and that those who report them receive adequate protection from reprisals.

Aim. To evaluate the accuracy, run-to-run consistency, and agreement of large language models on the Ukrainian Integrated Licensing Examination Krok 2 for the Specialty of Physical Therapy. Materials and Methods. Five cloud-based LLMs (ChatGPT-5.5, Claude 5 Sonnet, Gemini 3.5 Flash, Grok 4, DeepSeek-V3) were evaluated using 150 Ukrainian-language multiple-choice questions from the official Krok 2 database. Each model completed two independent runs with identical inputs. Accuracy (with 95% confidence intervals, Wilson method), run-to-run consistency, and agreement were assessed. Statistical analysis included Cohen's {kappa}, Cochran's Q and pairwise McNemar tests with Holm-Bonferroni correction. Results. All models achieved >80% accuracy in both runs, exceeding the passing threshold of [&ge;]64%. In the first run, accuracy ranged from 80.00% (DeepSeek-V3) to 93.33% (Gemini 3.5 Flash); in the second run, from 82.67% (Claude 5 Sonnet) to 88.67% (Gemini 3.5 Flash). In the first run significant differences were observed between Gemini 3.5 Flash and Grok 4 (93.33% vs 84.00%; p=0.0022) and DeepSeek-V3 (93.33% vs 80.00%; p=0.0001). There were no statistically significant differences between models in the second run. R2R consistency exceeded 90% for all models with the highest in ChatGPT-5.5 (98.67%) and lowest in DeepSeek-V3 (90.00%). Cohen's {kappa} ranged from 0.64 to 0.94, indicating substantial to almost perfect agreement. The stability of LLMs' response correctness across two runs ranged from 77.33% (DeepSeek-V3) to 88.00% (Gemini 3.5 Flash). Conclusions. All LLMs demonstrated high performance on Ukrainian-language Krok 2 examination tasks. Gemini 3.5 Flash showed the highest accuracy in both runs and response correctness stability while ChatGPT-5.5 exhibited the greatest response consistency and agreement. Although the accuracy and stability of LLM responses may be interrelated, they represent distinct aspects of model performance. This highlights the need for a comprehensive approach to evaluating LLMs. The findings indicate the potential of LLMs as an auxiliary tool in the professional practice of physical therapy specialists.

Background: The Greater Manchester Care Record (GMCR) integrates health and social care data for 2.8 million individuals. While it contains maternity information, identifying individual pregnancies, including timing and outcomes, is complex due to variations in healthcare interactions and recording practices. This study develops open-source code to create a pregnancy register within the GMCR using diagnosis- and procedure-based algorithm established in other databases. Methods: 1,448 maternity SNOMED clinical codes identified pregnancy-related primary care records among women aged 14-49 years between March 2012 and August 2023. Codes were grouped by pregnancy outcome, with a hierarchical ruling approach where multiple outcomes appeared within one episode. Pregnancy start dates were derived from hierarchical coded events or imputed using biologically plausible duration based on outcome type. Internal validation compared GMCR register episodes against Hospital Episode Statistics (HES) hospital maternity admissions; external validation compared outcome rates against published UK estimates. Results: The algorithm was developed across 379,832 women, identifying 880,926 pregnancies. Internal validation showed nearly half of register deliveries had a corresponding HES record, with a positive predictive value (PPV) of 48.1%and a median date difference of 17 days (IQR 1-30). External comparison revealed live birth (927.8 vs. 995.6 per 1,000 deliveries) and stillbirth (2.12 vs. 3.9 per 1,000 births) rates close to national estimates but a notable discrepancy for miscarriage (8.00 vs. 15.3 per 100 pregnancies) and termination of pregnancy (5.36 vs. 25.1 per 1,000 women). Demographic alignment was strong for maternal age (31 vs. 29.8 years) and deprivation (IMD10 median: 3 vs. 2.6), though ethnic minority representation was expectedly higher in the GMCR (37.0% vs. 28.7%). Conclusions: This pregnancy register enriches the GMCR for maternal health research, enabling more comprehensive and regionally tailored studies to inform healthcare delivery and policy. This work represents an important first step in developing a scalable, open-source algorithmic tool to support pregnancy research across diverse populations. By making the code openly available, it can be adapted for use in federated data environments, enhancing reproducibility and collaboration.

Background People diagnosed with severe mental illnesses (SMI) including bipolar disorder, schizophrenia and psychosis are disproportionately exposed to adverse social determinants of health, contributing to premature morbidity and mortality. Social prescribing aims to address social risk factors for poor health by linking patients in primary care to community activities. However, whether people with SMI access social prescribing through primary care remains unexplored. Aims To describe prevalence of, and sociodemographic characteristics associated with, social prescribing consultations in patients with SMI in primary care. Methods Using the UK Clinical Practice Research Datalink, we identified patients aged 18+ with a diagnosis of SMI between 2004-2019. We calculated the percentage of patients with SMI who received a social prescribing consultation between 2019-2023 and used logistic regression to examine associations between sociodemographic, health-related factors and social prescribing consultations and refusals. We used fixed effects analysis to determine whether a new diagnosis of SMI made between 2019-2023 was associated with an increased odds of receiving a social prescribing consultation. Results Among 112,334 patients with SMI, 0.8% received a social prescribing consultation in 2019 increasing to 9.5% in 2023. Between 2020-2023, older age (OR=1.18-2.34), being female (OR=1.16-1.31) and living in more deprived areas (OR=1.14-1.49) were associated with higher odds of receiving a social prescribing consultation amongst patients with SMI. Across all years, patients with SMI and depression (OR=1.32-1.92), diabetes (OR=1.19-1.35) or obesity (OR=1.17-1.54) also had increased odds. In 140,514 patients with time-varying SMI status, a new diagnosis of SMI was associated with higher odds of receiving a social prescribing consultation (OR=1.39, 95% CI 1.26-1.53). Conclusion Since 2019, social prescribing consultations among patients with SMI in primary care have increased and are reaching those in areas of higher deprivation and with greater health needs. Strategies to remove barriers to consultations among younger adults and males are still needed