Post-COVID syndrome manifests with a diverse array of symptoms for which no standard care plan currently exists. Many questions were raised by patients, which underscored the need for a validated patient-reported outcome measure (PROM). Therefore, a post-COVID module was developed to be included in the Assessment of Burden of Chronic Conditions (ABCC-) tool. The ABCC-tool evaluates and visualises the perceived physical, emotional and social burden of one or multiple chronic disease(s) using a balloon diagram and aims to facilitate person-centred care and structured discussions between patients and healthcare professionals. This study explores the patients’ perspective on the content of the ABCC-tool for post-COVID and the tool’s usability in a home-based setting.

All patients who completed the ABCC-tool for post-COVID were invited for an online semi-structured interview. We selected post-COVID patients who had used the tool in the past three months. Interviews were audio recorded and analysed using a thematic approach with Atlas.ti version 23.

Nineteen post-COVID patients (10 males, mean age 56) were interviewed between May and August 2024. The tool was regarded as user-friendly, and patients indicated they would use the tool again in the future. Patients valued the tool’s broad range of topics, some of which are often overlooked in standard healthcare consultations. The tool was comprehensible and relevant according to all patients. The balloon diagram was easy to understand, but a legend explaining the colours of the balloons was preferred. Other suggestions for improvement included adding open-text fields and periodic reminders to increase usability and adding long-term data.

The ABCC-tool is a promising instrument for post-COVID patients, offering a structured way to monitor and communicate experienced burden in addition to standard healthcare consultations. Refinements addressing usability and comprehensiveness are recommended to facilitate its integration into clinical practices.

The EPHOR-NIGHT cohort was established to investigate how night shift work influences biological pathways and chronic disease risk using a comprehensive working-life exposome approach, focusing on cardiometabolic, mental health, cognitive and biological ageing outcomes.

The cohort includes 937 workers aged 20–65 years (88% female), primarily from the healthcare sector (96%) in Spain, Sweden, Denmark and the Netherlands. Participants were categorised as permanent day (39%), permanent night (35%) or rotating/other shift workers (26%). Data collection included questionnaires, daily ecological momentary assessments, wearable sensors tracking light, physical activity, heart rate and environmental exposures and biological samples (blood collected once and saliva collected during five points across the day), with harmonised protocols across countries.

From the 937 participants contributing data to the cohort, 708 had complete information from questionnaires, sensors and blood and saliva, with subsets undergoing advanced biological analyses, including genomics, targeted and genome-wide DNA methylation, telomere length and mtDNA copy number, metabolomics, transcriptomics, proteomics, hormone profiling and inflammatory biomarkers and blood metals. Many reported prevalent chronic conditions, including anxiety (27%), depression (18%) and metabolic disturbances. Night shift and rotating shift workers had greater exposure to long shifts and more scheduled rest days compared with day workers. Sleep duration and quality were poorest among permanent night shift workers.

A 2-year follow-up was completed in June 2025, including the collection of additional biomarker data, psychosocial work environment data and data related to female sexual and reproductive health. Findings from the EPHOR-NIGHT study aim to inform prevention strategies and occupational health policies. Data will be made available to support broader research efforts on shift work and health.

Type 2 diabetes (T2D) is a complex disease with a heterogeneous clinical presentation. Recently, five distinct clusters of T2D have been identified in the Emirati population of long-standing T2D with complications. This study aimed to validate these clusters in newly diagnosed T2D patients without any complications and determine whether severe and mild phenotypes are detectable early in the disease course.

Retrospective, cross-sectional, non-interventional study.

Primary healthcare centres in Dubai, UAE.

A total of 451 adults, including both Emiratis and expatriates, diagnosed with T2D in the last 5 years and without T2D-related complications at the time of visit, were enrolled. Patients with complications, incomplete clinical data or higher duration of T2D were excluded from the study.

Identification of distinct T2D clusters using machine learning-based clustering analysis. Five clinical variables: age at diagnosis, body mass index, glycated haemoglobin, fasting serum insulin and fasting blood glucose served as predictors. Overlap between clusters was assessed via the Silhouette Index and Bayesian probability.

Five clusters were identified, replicating prior findings: severe insulin-resistant diabetes (SIRD), severe insulin-deficient diabetes (SIDD), mild age-related diabetes (MARD), mild obesity-related diabetes (MOD) and mild early-onset diabetes (MEOD). As confirmed by a Silhouette Index and Bayesian probability of 1, 55.43% of the patients showed cluster-exclusiveness, while 44.56% of the cohort showed overlap between clusters. The highest overlap was recorded for mild forms of T2D in the order MOD>MARD>MEOD.

The study confirms that both severe and mild T2D phenotypes are present in newly diagnosed, complication-free patients, supporting the applicability of cluster-based classification early in disease. These results highlight the potential for personalised treatment strategies to optimise management and prevent complications. Future studies should investigate longitudinal outcomes and therapeutic response across clusters.

To examine the effects of 12 weeks group-based peer-led aquatic high-intensity interval training (AHIIT) compared with aquatic moderate continuous training (AMICT) on patient-reported outcome measures (PROMs) and quality-adjusted life-years (QALYs).

A single-blind, parallel-group, randomised trial with a 1:1 allocation ratio.

Community-based setting.

89 participants (mean age 62 (SD 13) years) with rheumatic and musculoskeletal diseases, including hip and knee osteoarthritis, fibromyalgia, rheumatoid arthritis, psoriatic arthritis and axial spondyloarthritis, were randomly allocated to an AHIIT (n=44) or an AMICT (n=45) group.

The intervention consisted of AHIIT (four intervals of 4 min at high intensity, Borg scale 14–18) or AMICT (Borg scale 12–13), conducted twice weekly for 12 weeks.

Outcomes included disease activity (measured by the Patient Global Assessment), fatigue, pain and health-related quality of life (HRQoL), measured by the EQ-5D utility index (five-dimensional health status measure) and EQ VAS (self-rated overall health scale) for overall health, physical and social activities. All outcomes were assessed at baseline, 3 months and 6 months. To compare the overall benefit of these interventions, QALYs were estimated based on HRQoL. Linear mixed models for repeated measures were used to estimate the mean difference (95% CI) in outcomes.

No statistically significant differences between the groups were found in any outcomes at either three or 6 months (p>0.05).

No difference between the groups was found on PROMs and QALYs. Future research should include larger sample sizes and a non-exercising control group to better determine the efficacy of AHIIT and clarify the role of exercise intensity in symptom management.

NCT05209802.

To assess the pooled prevalence of self-reported sexually transmitted infections (STIs) and their associated factors among adults in South and Southeast Asia, using the Demographic and Health Survey data collected between 2015 and 2023.

A community-based cross-sectional study design was conducted using a multistage cluster sampling approach. Multilevel multivariable logistic regression analysis was employed to identify predictors of self-reported sexually transmitted infections (STIs). Model selection was guided by Akaike’s information criterion, and adjusted odds ratios (AORs) with 95% CIs were estimated to determine statistically significant associations.

South and Southeast Asia.

This analysis included a weighted sample of 791 019 adults aged 15–49 who reported ever having had sexual intercourse. The majority of the participants were female (n=6 87 880; 87%), and most were from Southeast Asia (n=7 00 539; 89%).

The pooled prevalence of self-reported STIs among adults in South and Southeast Asia was 12.94% (95% CI 7.73% to 18.14%). At the individual level, higher odds of reporting STIs were associated with being female (AOR 1.84; 95% CI1.68 to 2.02), having middle (AOR 1.11; 95% CI 1.04 to 1.19) or high wealth status (AOR 1.15; 95% CI 1.07 to 1.24]), being employed (AOR 1.14; 95% CI 1.07 to 1.22), having multiple sexual partners (AOR 2.79; 95% CI 2.22 to 3.52) and having undergone HIV testing (AOR 1.10; 95% CI: 1.02 to 1.20). Conversely, lower odds of self-reported STIs were observed among individuals aged 35–39 years (AOR 0.78; 95% CI 0.66 to 0.92), 40–44 years (AOR 0.68; 95% CI 0.58 to 0.82) and 45–49 years (AOR 0.61; 95% CI 0.52 to 0.73); those who had ever been in a union (AOR 0.71; 95% CI 0.62 to 0.83); individuals with higher education (AOR 0.84; 95% CI 0.76 to 0.93); and those with comprehensive HIV knowledge (AOR 0.82; 95% CI 0.77 to 0.87). At the community level, high illiteracy rates (AOR 1.25; 95% CI 1.15 to 1.35) and high media non-exposure (AOR 1.11; 95% CI 1.02 to 1.20) were positively associated with STIs, while rural residence (AOR 0.81; 95% CI 0.74 to 0.89) and living in Southeast Asia (AOR: 0.47; 95% CI 0.42 to 0.53) were linked to lower odds of self-reported STIs.

A substantial prevalence of self-reported STIs was observed among adults in South and Southeast Asia. Both individual- and community-level factors influence STI risk. The individual-level determinants include socio-demographic characteristics, sexual behaviours, HIV-related knowledge and testing history, while community-level factors reflect disparities in geographic location, educational attainment and media exposure.

Studying issues related to stroke medication non-adherence is essential for secondary prevention of stroke. This study aimed to identify the prevalence of medication non-adherence and risk factors among stroke survivors. The reasons behind this are that some patients may not follow stroke medication plans, and potential ways to help patients adhere better to medication plans.

This study employed a cross-sectional patient survey.

The study was conducted in 20 public and private healthcare facilities in a resource-constrained setting, in Punjab, the largest province of Pakistan.

We included 6538 stroke survivors aged 21–75 years with at least a 6 month history of stroke who were prescribed one or more anti-stroke medications and met the inclusion criteria.

The main outcome was medication non-adherence, measured by the Self-Efficacy for Appropriate Medication Scale (SEAMS) and self-reported pill count. Descriptive statistics were used to summarise study variables. chi-square (²)/Fisher’s exact test and independent t-test/ANOVA were employed. A generalised linear model (logit model using multivariable logistic regression shows that several factors are associated with medication non-adherence and adherence. Odds ratio (OR) plots were generated using Seaborn and Matplotlib.

Non-adherence based on pill counts was 49.7%, while the mean SEAMS score (31.3±7.7) showed moderate self-reported adherence. After adjusting for age, gender, marital status, education, income, health insurance, smoking status, comorbidities, stroke type, disease duration, blood pressure control, number of medications, dosing frequency, physiotherapy continuation, perceived side effects and doctor-patient satisfaction, we found that female gender (vs male: AOR 0.31, 95% CI 0.27 to 0.35), lower income (10k–25k PKR vs >100k PKR: AOR 0.31, 95% CI 0.23 to 0.41; 26k–50k PKR vs >100k PKR: AOR 0.57, 95% CI 0.47 to 0.68), primary/secondary education (vs postgraduate: AOR 0.74, 95% CI 0.64 to 0.87), controlled BP (vs uncontrolled: AOR 0.66, 95% CI 0.59 to 0.73), longer disease duration (≥5 years vs

This study addresses the significant issue of medication non-adherence in stroke patients in Pakistan, reflecting global patterns yet remaining under-explored locally. It emphasises the critical role of adherence in managing chronic conditions such as stroke, where consistent use of preventive therapies is vital for reducing recurrence and improving outcomes. While the non-adherence rates are consistent with global trends, there is a notable lack of observational studies and epidemiological data in the Pakistani context. Our findings support a comprehensive approach to enhance medication adherence, taking into account the complex connections among social, behavioural and clinical factors. It also highlights the importance of maintaining detailed records to monitor adherence trends, identify high-risk groups and inform targeted public health interventions.

In the Netherlands, approximately 2200 major amputations of the lower extremities are performed each year, the majority in vascular patients. Around 61% of these patients will develop postamputation pain (PAP). PAP is a severe, lifelong, disabling condition profoundly affecting quality of life. During amputations, the common practice is to cut the nerves without employing nerve-surgical techniques to prevent chronic pain due to neuroma formation. In recent years, targeted muscle reinnervation (TMR) has been the most frequently studied technique for treating PAP, inhibiting neuroma formation by rerouting the cut mixed nerve to a functional motor nerve. We hypothesise that a primary TMR procedure during major lower limb amputations will result in a lower prevalence of PAP.

We propose a national, multicentre, randomised, sham-controlled trial comparing TMR with traction neurectomy in major amputations of the lower extremities in patients with vascular disease. 203 patients will be recruited with an indication for a transfemoral to transtibial amputation as a primary or secondary sequela of vascular disease. The subjects are randomly assigned to the TMR group or the traction neurectomy group. PAP will be evaluated 1 year postoperatively as the primary endpoint. Secondary outcomes include quality of life, mobility, neuropathic pain, hospital anxiety and depression, cost-effectiveness and complications.

This study has been reviewed and approved by the local ethical review body, ‘The Medical Ethics Committee Leiden The Hague Delft’, under the reference: P24.073 on 28 November 2024. Results will be published in peer-reviewed journals.

NCT06719245. Dutch trial registry: NL87196.058.24

Inappropriate medication use among surgical patients poses significant risks, including antibiotic resistance, complications, mortality, increased healthcare costs and challenges in pain management. This study aimed to assess the extent of inappropriate antibiotic and analgesic prescriptions, treatment adequacy and contributing factors.

A hospital-based cross-sectional study was conducted among patients admitted to surgical wards in three comprehensive specialised hospitals in northwest Ethiopia.

All eligible adult patients admitted to the surgical wards during the data collection period were included in the study.

The primary outcomes were the appropriateness of antibiotic and analgesic prescriptions. To assess patients’ pain perception and the effectiveness of pain management strategies, the American Pain Society Patient Outcome Questionnaire was used. The Pain Management Index was employed to evaluate the treatment adequacy. The RAND (Research and Development)-modified Delphi method was applied to reach expert consensus on best practices for antibiotic prescribing. Additionally, the national standard treatment guideline was used to benchmark prescribing practices. Binary logistic regression was used to identify factors associated with inappropriate prescriptions of antibiotics and analgesics.

The prevalence of inappropriate antibiotics use was 67.5% and 42.2% of patients received inappropriate analgesic prescriptions. Moreover, 51.6% of patients experienced inadequate pain management. Significant factors associated with inappropriate antibiotic prescription included the presence of comorbidities (adjsuted OR (AOR) 3.34, 95% CI 1.88 to 5.92), lack of laboratory tests (AOR 0.26, 95% CI 0.16 to 0.43, higher number of medications (AOR 2.71, 95% CI 1.62 to 4.52) and contaminated wound class (AOR 3.13, 95% CI 1.58 to 6.20). For inappropriate analgesic prescription, pain due to disease (AOR 8.69, 95% CI 1.73 to 4.62), mixed causes of pain (AOR 7.20, 95% CI 1.43 to 6.31), head and facial pain (AOR 0.14, 95% CI 0.05 to 0.39) and an increased number of medications (AOR 2.75, 95% CI 1.72 to 4.41) were significant factors.

The majority of the patients admitted to surgical wards were found to receive inappropriate antibiotic and analgesic medications. Prescribers should pay attention to patients with comorbid diseases, receiving multiple medications. Additionally, routine laboratory tests are essential for guiding antibiotic therapy and improving patient outcomes in surgical wards.

Rapid identification of high-risk and low-risk patients presenting to the emergency department (ED) influences clinical management and can help optimise patient outcomes as well as resource allocation. This study aims to externally validate the Risk Stratification in the Emergency Department in Acutely Ill Older Patients (RISE UP) score in adult patients in the ED with suspected infection. Furthermore, generalisability was assessed by comparing the discriminatory ability of the RISE UP with the quick Sequential Organ Failure Assessment (qSOFA) as well as the Modified Early Warning Score (MEWS) and National Early Warning Score (NEWS).

Retrospective cohort study.

Single-centre study in the ED of a tertiary, university-affiliated hospital.

Adult patients with suspected infection presenting at the ED for internal medicine from 2016 to 2022.

The primary outcome was all-cause 30-day mortality. Secondary outcomes were all-cause 14-day mortality, 7-day mortality and intensive care unit (ICU) admission.

Prognostic performance was evaluated using discrimination (area under the receiver operating characteristic curve (AUC)) and a calibration plot.

Of the included 5038 ED visits, there was a 30-day mortality of 7.1%. Discrimination of RISE UP for 30-day mortality was good (AUC 0.809; 95% CI 0.786 to 0.832) and significantly higher than that for the other risk scores: qSOFA (AUC 0.675; 95% CI 0.644 to 0.707), MEWS (AUC 0.688; 95% CI 0.658 to 0.718) and NEWS (AUC 0.725; 95% CI 0.696 to 0.754) (p

The RISE UP score outperformed the qSOFA, MEWS and NEWS in predicting 30-day mortality. It is generalisable to an adult infection-specific cohort and may facilitate distinction between high-risk and low-risk patients in the ED, particularly to rule out poor outcomes.

There is limited evidence on how to effectively treat individuals from marginalised populations with dependence on amphetamine and/or methamphetamine (collectively referred to hereafter as amphetamine dependence). The disease burden is extremely high in this population, especially related to psychiatric comorbidities, cardiovascular complications, injection-related infections and poor social functioning. ATLAS4Dependence is a multi-centre randomised, placebo-controlled, double-blind trial that will investigate the effectiveness and safety of substitution treatment with dextroamphetamine compared with placebo in people with amphetamine dependence.

The trial will recruit 226 adult patients in several outpatient clinics in Norway.Inclusion criteria comprise individuals with amphetamine dependence, defined as use on three or more days per week during the past 28 days, who currently inject or have formerly injected drugs. This includes individuals both with and without comorbid opioid dependence, as well as those currently receiving or not receiving opioid agonist treatment. Participants will be randomly assigned 1:1 to receive either dextroamphetamine or placebo for 12 weeks. Flexible doses within the range of 30–120 mg daily will be provided based on individual assessments. The participants in both arms will be offered standard psychosocial and medical follow-up in accordance with current clinical practice. The endpoint assessments will be conducted at 12 weeks with weekly self-reports and safety assessments and a follow-up assessment at 52 weeks. The primary objective of the study is to assess the impact of 12 weeks daily prescribed oral dextroamphetamine versus placebo on the use of illicit amphetamines as well as on the total amount of amphetamines used (including both illicit and prescribed sources). Secondary outcomes are the differences between the groups at 12 weeks regarding psychological distress, symptoms of psychosis, quality of life, cardiovascular risk factors, injection-related infections, executive functioning, attention-deficit hyperactivity disorder-related symptoms, sleep, violence risk, fatigue, symptoms of craving and withdrawal, treatment retention, days of use of illicit amphetamines and use at 4 weeks and 8 weeks during the intervention period, use of other illicit substances and alcohol, as well as a cost-effectiveness analysis (using private economy, criminal activity and health service utilisation) and a qualitative approach to assess overall experiences with the study intervention. Analysis and reporting will follow the Consolidated Standards of Reporting Trials guidelines. All tests will be two-sided. Descriptive results and the estimated effectiveness will be presented with 95% CIs. The difference between the groups at the primary time point (at the end of the 12-week trial) will be assessed using ² test (for use of illicit amphetamines measured by monthly urine tests) and Analysis of Covariance (ANCOVA) (for weekly self-reported total amount of amphetamines). Analyses for the primary endpoint will be undertaken on an intention-to-treat basis and reported on as such, but sensitivity analyses with per protocol analyses will also be presented.

The study is approved by European Medicines Agency, Clinical Trial Information System (CTIS). Written informed consent will be obtained from all patients. Study results will be published in international peer-reviewed medical journals.

CTIS 2023-510404-44-00.

Mentalising, the capacity to understand behaviour via underlying mental states, is a key construct in psychopathology. While self-report instruments are widely used to assess mentalising, significant questions about their psychometric properties persist and no systematic review has comprehensively evaluated them using standardised criteria. This systematic review, guided by the COnsensus-based Standards for the selection of health Measurement Instruments () methodology, aims to: (1) identify all available self-report mentalising measures for adults; (2) evaluate the methodological quality of their validation studies; (3) synthesise and grade the quality of evidence on their measurement properties and (4) provide evidence-based recommendations for their use in research and clinical practice.

Five electronic databases (SCOPUS, Web of Science, PsycINFO, PubMed, ProQuest) will be searched from their inception, supplemented by a search of grey literature and reference lists. We will include studies of any design that report on at least one measurement property of a self-report measure of mentalising in adults. Two reviewers will independently screen all records, extract relevant data and assess the methodological quality of included studies using the COSMIN Risk of Bias checklist. For each instrument, the evidence for each measurement property will be synthesised, and the overall quality of the evidence will be graded using a modified Grading of Recommendations Assessment, Development and Evaluation approach.

As this systematic review will synthesise data from previously published studies, it does not require formal ethical approval. The findings will be disseminated through a peer-reviewed, open-access publication and presentations at scientific conferences. The results will provide a comprehensive inventory of available measures and a rigorous evaluation of their psychometric quality, creating an evidence base to guide clinicians and researchers in selecting the most appropriate instruments for mentalising assessment.

CRD420251031469.

Mental health issues such as depression and anxiety are highly and disproportionally prevalent among university students. Beyond the academic rigour, stressors imposed by a new environment result in them being vulnerable to the onset and manifestation of mental health symptomatology. Leveraging smartphones and wearables for digital phenotyping capabilities is an innovative approach for monitoring and intervening in the mental health conditions of university students. This provides a unique opportunity to collect and identify digital and behavioural biomarkers, subsequently enabling the development of predictive models to identify university students at risk.

This study—Brightline—will employ an observational study design over a 6-month period, recruiting 500 students from a major public university in Singapore. Passive data collection will occur continuously throughout the monitoring period through a wearable device (Fitbit Charge 6) and smartphone sensors via the Brightline app, which uses a digital phenotyping data collection platform. Active data collection will consist of self-report questionnaires to be completed at the beginning of the study and follow-up assessments at 1, 3 and 6 months after. The passive and active data collected will be analysed to identify the digital biomarkers associated with depression, anxiety, stress, loneliness and affect among university students. Predictive models of these mental health issues will also be developed.

This study was approved by the Nanyang Technological University Institutional Review Board (IRB-2023-894). Findings from this study will be published in peer-reviewed journals and presented at academic conferences.

NCT06770075.

To provide bottom-up guidance on improving post-COVID care using patients’ experiences with received care and their perceived health

Qualitative study design using focus group interviews

30 patients with post-COVID condition recruited through purposive sampling based on patient complexity and diversity

Three dimensions for potential improvements of post-COVID care were identified: (1) building, supporting and maintaining patient resilience, (2) redesigning healthcare pathways to meet patient needs and (3) embedding post-COVID care in health systems and organisations. A conceptual framework that could guide improvements in post-COVID care was developed.

This study revealed several opportunities for improving and implementing post-COVID care following a person-centred approach in multidisciplinary integrated care pathways with an integrative vision of health.

Simulation is well established in medical education. However, with rising numbers of medical students globally, provision of high-quality, equitable simulation teaching on a large, multisite scale is increasingly challenging. We sought to explore whether a centrally designed, multisite simulation programme could enhance student confidence equitably across multiple clinical sites with differing resources.

An evaluative study on the changes in medical student confidence on defined intended learning outcomes (ILOs) in 3 undergraduate year groups across 11 simulation sessions delivered at eight different clinical sites with variable resources and facilitators.

Eight hospitals affiliated with Imperial College School of Medicine.

Students’ self-reported confidence in achieving the ILOs via a questionnaire at the end of each session. Changes in confidence following each session were analysed and compared across sites.

522 students responded to the survey over 3 academic years. Students’ mean confidence in achieving ILOs increased in all sessions. Nine out of 10 sessions showed no statistically significant difference in the confidence increases between sites.

Our study suggests it is possible to deliver an equitable, centrally designed, large-scale simulation teaching programme to medical students across multiple clinical sites with different facilitator teams. The programme is sustainable, easily facilitated by new teaching fellows each year and is likely adaptable to other healthcare professions and settings.

To compare the quality and time efficiency of physician-written summaries with customised large language model (LLM)-generated medical summaries integrated into the electronic health record (EHR) in a non-English clinical environment.

Cross-sectional non-inferiority validation study.

Tertiary academic hospital.

52 physicians from 8 specialties at a large Dutch academic hospital participated, either in writing summaries (n=42) or evaluating them (n=10).

Physician writers wrote summaries of 50 patient records. LLM-generated summaries were created for the same records using an EHR-integrated LLM. An independent, blinded panel of physician evaluators compared physician-written summaries to LLM-generated summaries.

Primary outcome measures were completeness, correctness and conciseness (on a 5-point Likert scale). Secondary outcomes were preference and trust, and time to generate either the physician-written or LLM-generated summary.

The completeness and correctness of LLM-generated summaries did not differ significantly from physician-written summaries. However, LLM summaries were less concise (3.0 vs 3.5, p=0.001). Overall evaluation scores were similar (3.4 vs 3.3, p=0.373), with 57% of evaluators preferring LLM-generated summaries. Trust in both summary types was comparable, and interobserver variability showed excellent reliability (intraclass correlation coefficient 0.975). Physicians took an average of 7 min per summary, while LLMs completed the same task in just 15.7 s.

LLM-generated summaries are comparable to physician-written summaries in completeness and correctness, although slightly less concise. With a clear time-saving benefit, LLMs could help reduce clinicians’ administrative burden without compromising summary quality.

The postnatal period is critical for preventing maternal and neonatal morbidity and mortality. Globally, a significant proportion of maternal and neonatal deaths occur within the first 6 weeks after delivery. Timely and adequate postnatal care (PNC) can detect and manage life-threatening complications; however, service utilisation remains alarmingly low in many low- and middle-income countries, including Saudi Arabia. Addressing the behavioural and perceptual factors that influence service use is essential for improving health outcomes.

This study aimed to assess mothers’ utilisation of PNC services and examine how their health beliefs and sociodemographic characteristics influence this behaviour.

A cross-sectional study guided by the Health Belief Model (HBM) was conducted to explore predictors of PNC utilisation.

Eight primary healthcare (PHC) centres were randomly selected from 179 PHC centres distributed in the different governorates of the Jazan region of Saudi Arabia.

A total of 464 mothers were surveyed between October and December 2023 using an interviewer-administered questionnaire.

The primary outcome was PNC utilisation, defined by the number of postnatal visits. The independent variables included sociodemographic characteristics and HBM constructs (perceived susceptibility, benefits, barriers and cues to action).

In terms of PNC utilisation, 80.0% of participants had two or fewer postnatal visits, whereas 20.0% had three or more postnatal visits. Perceived barriers had the strongest influence (mean score 2.51±0.87), followed by cues to action (2.43±0.89), susceptibility (1.92±0.72) and benefits (1.86±0.64). In the multivariate analysis, perceived barriers, cues to action and perceived susceptibility were significantly associated with PNC utilisation, with adjusted ORs of 1.679 (95% CI: 1.007 to 2.799), 0.470 (95% CI: 0.256 to 0.863) and 0.405 (95% CI: 0.197 to 0.832), respectively.

PNC utilisation in the Jazan region remains suboptimal. Perceptual factors, particularly barriers and cues to action, play a central role in service use. Health interventions targeting these beliefs and improving follow-up mechanisms may help increase PNC engagement and improve maternal and infant health outcomes in Saudi Arabia.

Sleep is a biological necessity with vital effects on all tissues and organs of the body. Preoperative sleep disturbance is associated with increased postoperative pain intensity and opioid consumption. Given that insomnia is a potentially modifiable risk factor, interventions targeting sleep prior to surgery may improve postoperative pain control and enhance key outcomes of recovery.

Promoting Sleep to Alleviate Pain-Arthroplasty (PROSAP-A) is a randomised, parallel group, two arm, controlled trial evaluating the effects of preoperative sleep-promotion on postoperative pain control, brain health and physical recovery. The main objective is to investigate whether preoperative insomnia treatment in patients scheduled to undergo total knee arthroplasty (TKA) or total hip arthroplasty (THA) may improve acute postoperative pain control. 100 adults with insomnia disorder (Insomnia Severity Index score >10 and confirmed Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition criteria for persistent insomnia disorder), scheduled to undergo primary TKA or THA, will be randomised to preoperative cognitive behavioural therapy for insomnia (CBT-I) or an active comparator control intervention, sleep education therapy (SET). Both interventions will be delivered over 4 weeks in hybrid format through a digital self-guided platform in combination with weekly telehealth video sessions with a psychologist (CBT-I) or research nurse (SET). A video-assisted booster session will be provided 1–2 weeks postoperatively. The primary outcome measure is acute postoperative pain intensity, averaged over the first 7 postoperative days (POD). Secondary outcome measures include long-term postoperative pain control, changes in quantitative sensory testing variables (eg, temporal summation, conditioned pain modulation), sleep, cognition (eg, attention, memory, processing speed, executive function), mental health, health-related function, physical activity, quality of life and blood biomarkers. Participants will undergo on-site evaluation preoperative (preintervention and postintervention) and 6 months postoperative. Additional remote assessments will take place during POD1–7, 3 and 12 months postoperative.

The Swedish Ethical Review Authority has approved the PROSAP-A trial protocol. Results will be published in international peer-reviewed journals and summaries will be provided to funders and participants of the trial.

NCT06145516.

This study aims to assess the level of cardiovascular disease (CVD) risk and its associated determinants among hypertensive patients in Jigjiga, Somali Region, Ethiopia using the WHO 10-year CVD risk score.

An institution-based cross-sectional study design was employed.

Hypertensive patients aged 40–74 years in two public hospitals in Jigjiga, Somali Region, Ethiopia, from 20 December 2023 to 20 February 2024.

Randomly selected 344 hypertensive patients aged 40–74 years with a duration of 1 year or more from the time of diagnosis and at least having 6-month follow-up.

10-year CVD risk level was assessed by using WHO 10-year CVD risk score. Risk levels were categorised as low (

Associated factors influencing CVD risk.

The study included 341 hypertensive individuals, with a 99.1% response rate. Of the respondents, 58.9% were men. The overall prevalence of CVD risk within the coming 10 years was 134 (39.3%; 95% CI: 34.1% to 44.5%). Multivariable logistic regression analysis identified age, khat chewing, smoking and comorbid conditions as significant independent predictors of CVD risk. Specifically, individuals aged 60–69 years had an adjusted OR (AOR) of 3.97 (95% CI: 1.94 to 8.16) and those aged 70–74 years had an AOR of 2.99 (95% CI: 1.57 to 5.71). Khat chewers had an AOR of 2.58 (95% CI: 1.22 to 5.46), smokers an AOR of 3.44 (95% CI: 1.59 to 7.48) and individuals with comorbidities an AOR of 2.42 (95% CI: 1.47 to 3.99).

There is a significant increase in 10-year CVD risk among hypertensive patients in the study area. Age, khat chewing, smoking and comorbidities were independent predictors. Regular CVD risk screening for older patients, focused health education to reduce khat and tobacco use and integrated management of comorbidities are essential to lower future cardiovascular risk.