Conectar
by Pieter L. van den Berg, Shane G. Henderson, Hemeng Li, Bridget Dicker, Caroline J. Jagtenberg
BackgroundCommunity First Responders (CFRs) are commonly used for out-of-hospital cardiac arrests, and advanced systems send so-called phased alerts: notifications with built-in time delays. The policy that defines these delays affects both response times and volunteer fatigue.
MethodsWe compare alert policies by Monte Carlo Simulation, estimating patient survival, coverage, number of alerts and redundant CFR arrivals. In the simulation, acceptance probabilities and response delays are bootstrapped from 29,307 rows of historical data covering all GoodSAM alerts in New Zealand between 1-12-2017 and 30-11-2020. We simulate distances between the patient and CFRs by assuming that CFRs are located uniformly at random in a 1-km circle around the patient, for different CFR densities. Our simulated CFRs travel with a distance-dependent speed that was estimated by linear regression on observed speeds among those responders in the above-mentioned data set that eventually reached the patient.
ResultsThe alerting policy has a large impact on the four metrics above, and the best choice depends on volunteer density. For each volunteer density, we are able to identify a policy that improves GoodSAM New Zealand’s current policy on all four metrics. For example, when there are 30 volunteers within 1 km from the patient, sending out alerts to 7 volunteers and replacing each volunteer that rejects by a new one, is expected to save 10 additional lives per year compared to the current policy, without increasing volunteer fatigue. Our results also shed light on polices that would improve one metric while worsening another, for example, when there are 10 volunteers within 1 km from the patient, dispatching them all immediately increases our survival estimate by 11% compared to the current policy, with the downside of also increasing the redundant arrivals by 137%.
ConclusionsMonte Carlo simulation can help CFR system managers identify a good policy before implementing it in practice. We recommend balancing survival and volunteer fatigue, aiming to ultimately further improve a CFR system’s effectiveness.
by Elham Ahmadi, Sophia Baierl, Stephan Voss, Ida Asenkerschbaumer, Ursula Berndt, Leonie Bernhard, Anita Hennig, Anna-Lena Würfele, Michaela Coenen
Urban soundscapes, particularly those experienced in green spaces, have been increasingly recognized as factors that influence human mental health. This scoping review explores the existing literature on soundscapes within urban green spaces and their associated mental health outcomes. It aims to classify the methodologies used in this domain, identify mental health outcomes related to urban green space soundscapes, and examine specific soundscape elements and their correlations with mental health. A systematic search of peer-reviewed studies was conducted. After screening titles, abstracts, and full texts, 22 studies met the inclusion criteria. Diverse methodological approaches were identified, with an emphasis on quantitative multi-method designs. Commonly studied mental health outcomes include stress reduction, mood enhancement, perceived restorativeness, and cognitive restoration. Standardized psychometric tools, such as the Perceived Stress Scale (PSS-14), Positive and Negative Affect Schedule (PANAS) and Perceived Restorativeness Soundscape Scale (PRSS) are frequently used as outcome measures. Natural soundscape elements such as birdsong, water sounds, and rustling leaves had a positive association with relaxation and perceived mental restoration throughout all studies, while mechanical sounds, such as traffic noise were linked to adverse mental health outcomes. These findings highlight that natural soundscapes in urban green spaces have a potential positive relationship with mental health by reducing stress and enhancing mood. However, the cross-sectional design and methodological heterogeneity of the included studies limit causal interpretation. Future research should explore multi-sensory experiences and examine soundscapes in diverse urban contexts to provide more robust insights into their relationship with mental health. The practical implications suggest that urban planners should prioritize integrating natural sound elements into urban areas to improve mental health. The study protocol of this scoping review had been registered at OSF (osf.io/4r7gd).
by Lucy H. Eddy, Nat K. Merrick, Cara E. Staniforth, Jade L. Jukes, Liam J. B. Hill, Mark Mon-Williams, Farid Bardid, Rebecca Murray
BackgroundApproximately 5% of children are affected by a neurodevelopmental disorder of their sensorimotor skills. DSM-V and ICD-10, the two most widely used diagnostic systems, define this diagnostically as ‘Developmental Coordination Disorder’ (DCD) or ‘Specific Developmental Disorder of Motor Function’ (SDDMF), respectively. A diagnosis of DCD has been found to have a detrimental impact on a range of outcomes (e.g., health and education). It is therefore crucial that these children receive timely intervention. This is reliant, however, on effective assessment and support pathways. Research has shown there is great parental dissatisfaction, but there has been limited research exploring a clinical and education perspective. This study therefore aimed to understand barriers and facilitators for clinical and education practitioners in the pathway in a diverse district in the UK (Bradford).
MethodsSemi-structured interviews were completed with stakeholders across the pathway to identify barriers and facilitators to assessing, diagnosing, and supporting children with sensorimotor skill difficulties. Theoretical thematic analysis aligned to the Capability, Opportunity, Motivation model of Behaviour change (COM-B) was used to analyse the qualitative data.
ResultsInterviews revealed many barriers in the DCD pathway related to capability (confusing terminology, inconsistent knowledge, inappropriate referrals), opportunity (resource constraints, DCD being considered low priority, and disconnected services), and motivation (overlapping job roles, a desire to consider those with difficulties not eligible for a diagnosis). No facilitators were consistently identified across interviews.
ConclusionFamilies face multiple barriers to obtaining a diagnosis for their child through existing clinical pathways for assessment and support. These findings are unlikely to be unique to Bradford, due to international research highlighting these issues via parental interviews. These findings therefore may reflect challenges both nationally and internationally within DCD pathways. There is an urgent need for: (i) clear communication across different services (with consistency in terminology), and (ii) a more collaborative and integrated approach to assessment, diagnosis, and support in order to help these children thrive.
Immune checkpoint inhibitors (ICIs) have revolutionised cancer treatment through targeted disruption of the physiological pathways that maintain tissue tolerance, but which are co-opted by cancers to evade immunosurveillance. Thus, the resultant T-cell activity often causes immune-related adverse events including immune checkpoint inhibitor-induced inflammatory arthritis (ICI-IA). ICI-IA results in functional impairment that frequently persists, even after ICI discontinuation, with substantial quality-of-life impacts for cancer survivors.
A high-quality body of evidence to guide ICI-IA management remains an unmet need. Pharmacological treatment may be prolonged, typically begins with non-specific immunosuppression, including systemic steroids, and is usually only rationalised to more targeted therapy in resistant cases. Moreover, retrospective data suggest the high dose glucocorticoids sometimes used in new-onset ICI-IA may be associated with worse cancer outcomes.
Tumour necrosis factor (TNF) inhibition strategies are well established with excellent efficacy and safety profiles in ‘spontaneous’ inflammatory arthritides including rheumatoid and psoriatic arthritis. Mechanistic evidence from ex vivo and murine studies also supports the utility of anti-TNF therapy for steroid-refractory cases of ICI-IA. Although good clinical responses have been reported in this setting, the REACT trial (REmission induction of Arthritis caused by Cancer ImmunoTherapy) aims to provide randomised and robust clinical evidence for deploying targeted therapy earlier in ICI-IA management. It will test whether up-front anti-TNF therapy can more effectively and quickly control symptoms, reduce glucocorticoid exposure, prevent early ICI discontinuation and increase the frequency of drug-free ICI-IA remission.
REACT is a prospective, multicentre, open-label, superiority, two-arm, randomised controlled clinical trial to guide initial therapy for patients with ICI-IA. The trial will compare the current standard of care (initial prednisolone; Arm A) with the anti-TNF drug, adalimumab without glucocorticoids (Arm B).
The primary outcome is glucocorticoid-free arthritis remission rate at 24 weeks where remission is defined as: (i) No use of systemic or intra-articular glucocorticoids (except when used for adrenal insufficiency) within 4 weeks prior to assessment at 24 weeks; and (ii) absence of synovitis on clinical examination.
The protocol was approved by East Midlands—Leicester South Research Ethics Committee on 31-Oct-2024 (Ref: 24/EM/0202). Participants are required to provide written informed consent. The results of this trial will be disseminated through national and international presentations and peer-reviewed publications.
To investigate associations between body composition indices and metabolic status among normal-weight adults.
Cross-sectional study using data from the Tehran Lipid and Glucose Study (phaseVII: 2019–2021).
Primary care and community health services in an urban Tehran population.
1298 adults (40.5% men, 59.5% women), aged 18–80years, body mass index (BMI) 18.5–24.9 kg/m². Exclusions: known diabetes, cardiovascular disease, kidney failure, malignancy, pregnancy or lactation, diuretic or glucocorticoid use. Participants were classified as metabolically healthy normal weight (MHNW) or unhealthy (MUHNW).
The primary outcome was the association between body composition and anthropometric indices with metabolic status. The secondary outcome was identification of the strongest predictors of MUHNW. Body composition was assessed by bioelectrical impedance analysis to obtain fat mass (FM), body fat percentage (BFP), skeletal muscle mass percentage (SMM%), fat mass index (FMI), fat-free mass index, skeletal muscle indices and the fat-to-muscle mass ratio (FMR). Anthropometric measures included waist circumference (WC) and waist-to-hip ratio (WHR). Associations were examined using logistic regression adjusted for age, smoking and physical activity.
Mean age: 37.5±12.8 y; MUHNW participants were older than MHNW (44.5±13.2 vs 35.8±12.1 years, p
BMI, WC, WHR and body fat indices were positively associated with metabolically unhealthy status among normal-weight adults of both sexes. WHR was the strongest predictor, highlighting its value for identifying at-risk individuals where advanced body composition tools are unavailable.
To determine the prevalence of potentially inappropriate prescribing (PIP), potentially inappropriate medication (PIM), potential prescription omission (PPO), potentially harmful drug–drug interactions (PDDI) and identify associated factors among older Ethiopians.
Systematic review and meta-analysis
We searched PubMed, HINARI, Scopus and Web of Science databases to identify eligible studies published up to 31 October 2025.
Observational studies reported the prevalence of PIP, PIM, PPO and PDDI among older adults from any healthcare settings were screened.
Two independent reviewers selected studies, extracted data and assessed the risk of bias. The quality and risk of bias of the studies were assessed using the Newcastle-Ottawa scale and Hoy risk of bias tool, respectively, while the certainty of evidence of outcomes was assessed using Grading of Recommendations, Assessment, Development and Evaluation based on Cochrane recommendations. We used a random-effects model for analyses to estimate the pooled prevalence and associated factors. All data analyses were done using Stata V.17 software.
The national prevalence of PIP, PIM, PPO and PDDI was estimated as main outcomes. Variations were estimated based on regions, age groups, outcome evaluation tool, disease type and healthcare setting.
The review included 25 studies (n=5662 participants) for PIP or PIM, 14 studies (n=2706 participants) for PDDI and 6 studies (n=1342 participants) for PPO. The pooled prevalence estimate was 41% (95% CI 33% to 48%), I2=96.87% for PIP, 37% (95% CI 31% to 44%), I2=96.33% for PIM, 55% (95% CI 36% to 73%), I2=99.00% for PDDI and 14% (95% CI 6% to 24%), I2=95.07% for PPO. The majority of the studies have very good quality (very good=13, good=1, satisfactory=11 for PIP and PIM; very good=11, satisfactory=3 for PDDI; very good=6 for PPO) and low risk of bias (low risk=18, moderate risk=7 for PIP and PIM; low risk=12, moderate risk=2 for PDDI and low risk=6 for PPO), while all studies for each outcome have low certainty of evidence. Subgroup analyses revealed significant regional and contextual variations. Polypharmacy was significantly associated with PIP (OR=3.72, 95% CI 2.53 to 5.46, p2=69.56%), PIM (OR=4.20, 95% CI 2.91 to 6.06, p2=57.83%) and PDDI (OR=4.51, 95% CI 3.05 to 6.69, p2=0.00%), while hypertension (OR=2.46, 95% CI 1.38 to 4.36, p2=0.00%) was associated with PIP.
This review found a high prevalence of PIP, PIM, PDDI and PPO among older adults in Ethiopia, with notable heterogeneity across regions. Polypharmacy was associated with PIP, PIM and PDDI, while hypertension showed association with PIP. Despite generally good study quality, the certainty of evidence was low for the included studies due to the cross-sectional design nature, with high heterogeneity. Therefore, these findings should be interpreted cautiously. This study indicates a high burden of inappropriate medication prescribing and its associated factors, underscoring the importance of further robust studies to clarify prescribing practices and associated factors.
CRD42024556744.
Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant pulmonary pathology, including lung cancer. While low-dose CT screening has mortality benefits in selected high-risk populations, its implementation remains limited in many healthcare settings. Artificial intelligence (AI)-assisted CXR interpretation has the potential to enhance pulmonary nodule detection. However, evidence from Malaysian clinical practice is scarce. This study aims to evaluate the diagnostic performance of AI-assisted CXR interpretation for detecting IPNs across healthcare facilities in the Klang Valley, Malaysia.
This prospective, multicentre study will include 2452 CXRs from patients aged ≥35 years over a 6-month period across four Klang Valley healthcare facilities. Each CXR will be independently interpreted by an experienced radiologist (>5 years of experience) and analysed separately using an AI system (qXR-LNMS). An independent thoracic radiologist will determine the final classification for analysis if there is IPN detection discordance. Diagnostic performance metrics (sensitivity, specificity, positive and negative predictive values, and overall accuracy) will be calculated using a 2x2 classification matrix. Agreement between AI-assisted interpretation and radiologist reports will be assessed using Cohen’s kappa statistic. The prevalence of IPNs detected by AI-assisted interpretation and radiologist reporting will be compared using a two-proportion z-test. AI discriminative performance will be evaluated using receiver operating characteristic curve analysis and area under the curve estimation. Statistical analyses will be conducted using Statistical Package for the Social Sciences V.29, with p
Ethical approval has been obtained from the Universiti Kebangsaan Malaysia Research Ethics Committee and the Ministry of Health Malaysia Medical Research and Ethics Committee. Written informed consent will be obtained from all participants. The findings will be disseminated through peer-reviewed publications, scientific conferences and engagement with relevant stakeholders.
Healthcare utilisation (HU) is key to improving the health of residents in urban informal settlements. This study aimed to explore household-level factors influencing HU among informal settlement households in Freetown, Sierra Leone.
Cross-sectional survey.
Three informal settlements (Cockle Bay, Dwarzark and Moyiba) in Freetown, Sierra Leone.
Primary data from 4871 households were collected during the Health and Wellbeing survey conducted between April and May 2023, targeting households with adults aged 18 years and older.
The primary outcomes were households HU both within and outside informal settlements. Household-level predisposing and enabling explanatory variables were derived from Andersen’s Behavioural Model of HU.
Disability in households increases HU within settlements (especially in Dwarzark, 13% and Moyiba, 10%) but is less likely outside. Households engaged in income-generating activities are more likely to seek healthcare within settlements, but 12% less likely outside in Cockle Bay and Dwarzark. Food insecurity decreases HU within Dwarzark (9%) and increases HU outside by 174% in Moyiba. Longer water fetching times and water shortages were associated with higher HU (between 6% and 16%) within settlements, especially in Cockle Bay and Dwarzark. Clean water sources (eg, piped dwelling, bowser, surface, bottled) were consistently associated with higher HU both within and outside settlements. Shared sanitation facilities (such as shared toilets) were positively associated with HU both within and outside settlements, particularly in Dwarzark and Moyiba. Households with income from fishing, informal salaried work and bike riding showed higher HU both within and outside settlements, especially in Dwarzark and Moyiba.
We identified strong settlement-specific patterns of household-level factors that influence HU both within and outside Freetown’s informal settlements. These findings provide a foundation for developing targeted policies such as strengthening local services, addressing affordability and accessibility barriers and supporting vulnerable occupation groups.
There is a significant need for trials that evaluate the treatment of University of Texas (UT) grade 2 and 3 diabetic foot ulcers (bone, joint, or tendon exposed wounds). We undertook a trial looking at the effect of intact fish skin graft (IFSG) on these deep and difficult-to-heal ulcers. 262 patients Intent to Treat (ITT) patients with UT grade 2 and 3 DFUs were randomised to receive intact fish skin graft (IFSG) or a standardised treatment (SOC) that adhered to the International Working Group on the Diabetic Foot (IWGDF) guidelines. The secondary endpoints that were measured included wound area reduction (WAR), healing rates at 20 and 24 weeks; closure rates by UT grade, perfusion, quality of life, pain reduction and IFSG safety. We report ITT (all randomised) (mITT previosly reported) The (WAR) at 12 weeks was 65.53% for IFSG versus 30.82% for SOC (p = 0.007). UT 2 wounds (60% of total) exhibited a closure rate of 47% versus 23% at 16 weeks for IFSG versus SOC (p = 0.0033). Target wound infections were comparable (39 vs. 37) and major outcomes were comparable during the 24 week period (target-limb amputations 8% vs. 7%). Time-to-heal favoured IFSG (restricted mean to 24 weeks 17.31 vs. 19.37 weeks; KM/log-rank significant; Cox HR 1.59). The in the treatment of deep complex diabetic foot wounds the addition of IFSG significantly improved the number of patients with total wound closure as well as the time to wound closure without increased risk of complications. This improvement in total wound closure and time to wound closure was noted across prior amputation status, quality of perfusion, and UT grade.
Common mental health outcomes among children in conflict with the law in correctional facilities in Africa are an under-researched area with significant public health implications. This review will synthesise available and accessible evidence on the prevalence and associated factors of common mental health outcomes among children in conflict with the law in Africa.
Comprehensive electronic searches will date from 01 January 2015 to 31 December 2025 and will be conducted in PubMed, Sabinet, Scopus, EBSCOhost, Web of Science and PsycINFO. Articles will be screened using defined inclusion and exclusion criteria and assessed for eligibility by three independent reviewers. Discrepancies will be reviewed by a ninth reviewer. The selection process of included articles will be reported by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses will be used. The Mixed Methods Appraisal Tool will assess study quality, and data will be synthesised using meta-analysis or a narrative synthesis approach, depending on heterogeneity levels.
This study will not require ethical approval from an institutional review board, as it does not entail the direct collection of data from children in conflict with the law, nor does it pose any risk to their privacy. Once finalised, the full review report will be submitted for publication in a peer-reviewed journal. The key findings will also be shared at both local and international conferences, highlighting common mental health outcomes among children in conflict with the law.
CRD420251011484.
This community-led research study protocol emphasises placing black youth impacted by the legal system, their families and their communities at the forefront of substance use treatment development research and decision-making. The study, the Cultural Adaptation of a Substance Use Treatment (CAST) Project, challenges traditional top-down approaches to treatment creation, advocating for a grassroots model that centres community knowledge, values and active participation.
The CAST project is a US-based mixed-methods study with an exploratory design that examines the impact of racial discrimination on substance use in black youth impacted by the legal system. The study participants are black youth impacted by the legal system (N=15), parents of black youth impacted by the legal system (N=10) and community members who serve black youth (N=10) (total N=35 study participants). Study participants from each group (youth, parents and community members) will participate in three separate focus groups, respectively, to provide feedback on the culturally responsive content needed to best support black youth impacted by the legal system around substance use and mental health. The eight-step Assess, Decision, Adaptation, Production, Topical Expert, Integration, Training, Testing framework will be used as a guide to inform adaptations to the Motivational Enhancement Therapy and Cognitive Behavioural Therapy (MET/CBT12) for black youth impacted by the legal system. Once the cultural adaptation process has been completed, the study will conclude with an open feasibility and accessibility trial of the culturally adapted MET/CBT12 manual. The primary outcomes of this study are the feasibility and acceptability of the culturally adapted manual, measured by treatment attendance and participant feedback. Secondary outcomes include reductions in substance use and discrimination distress, and improvements in mental health symptoms.
This study was approved by the Institutional Review Board (IRB) at the University of California, San Francisco (IRB Protocol Number: 23-40126). All study procedures will be conducted in accordance with the ethical standards outlined by the institutional review board. The results from this study will be shared through peer-reviewed publications, academic conferences, community forums and policy briefs to support broader implementation of culturally adapted adolescent substance use interventions that address discrimination-related stress and substance use among black individuals impacted by the legal system.
Patient and public involvement (PPI) is increasingly embedded in stroke and aphasia participatory research, enhancing relevance and inclusivity. While the benefits of PPI are well-documented, the costs, both direct (eg, honoraria, travel, accessibility materials) and indirect (eg, time, administrative burden, emotional labour), remain poorly reported. This scoping review aims to (1) identify and categorise direct and indirect costs of PPI in stroke research, (2) examine how these costs are defined, reported or implied, (3) map cost-related barriers and facilitators and (4) expose evidence gaps to inform the Mapping the Economic and Social Tangible and Emotional Resources of Patient and Public Involvement (MASTER-PPI) framework.
Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines, we will search Medline, PUBMED, Embase, CINAHL, APA PsycINFO, Scopus and Web of Science, as well as grey literature (NIHR INVOLVE, Horizon Europe, non-governmental organisation (NGO) reports). Eligible studies include those reporting or implying direct or indirect costs of PPI in stroke research. Two reviewers will independently screen and extract data, which will be synthesised descriptively and thematically. Findings will be aligned with the MASTER-PPI framework.
Ethical approval is not required. The findings will be disseminated through peer-reviewed journal publications, conference presentations, social media posts in lay language and policy briefs tailored for NGOs and funders.
This protocol is registered with the Open Science Framework (OSF) (https://doi.org/10.17605/OSF.IO/VM9ZU).
To classify Italian home care models based on structural characteristics, process factors and stakeholder perceptions.
This is a secondary analysis of the AIDOMUS-IT multicentre cross-sectional study, conducted in Italy between July 2022 and December 2023.
Data were collected via online surveys completed by 33 Local Health Authority Nursing Directors, home care nurses and patients. Hierarchical cluster analysis was used to classify different organisational models based on structural and process-related factors. Nurses' and patients' perceptions of care were described for each identified cluster.
The analysis identified three distinct organisational home care models: The ‘multidisciplinary model’, in which nurses reported high dissatisfaction due to organisational complexity and excessive workloads. In the ‘nurse-centred model’, characterised by publicly employed nurses, strong leadership, and a supportive work environment, patients reported high levels of satisfaction. The ‘performance-based model’, which operated with a lower nurse-to-patient ratio, reduced service hours, and greater reliance on external professionals. Nurses in this model reported high job satisfaction but also a greater intention to leave, while patient satisfaction was lower.
This study underscores the importance of leadership, resource management, and a supportive work environment in influencing both job satisfaction and patient outcomes in home care settings.
Policymakers could use these findings to refine care models and improve service delivery.
Limited research has examined the organisational structures of home care services, which are important for professionals' organisational well-being, patient safety, and quality of care. This study identified three distinct organisational home care models that could be used to refine care approaches and improve service delivery.
This study respects the EQUATOR guideline for observational studies (STROBE).
This study did not include patient or public involvement in its design, conduct, or reporting.
Chronic venous leg ulcers (CVLUs) affect 1%–3% of adults. Standard compression therapy achieves healing in only 40%–70% of cases at 24 weeks. Evidence for hyperbaric oxygen (HBO) therapy remains controversial, with limited sham-controlled trials. To evaluate whether adjunctive HBO improves healing of refractory CVLUs compared to standard care alone. Single-centre, open-label randomised trial of 80 adults with CVLUs that persisted > 3 months despite standard care (defined as < 30% area reduction after 4 weeks of compression therapy). All consecutive eligible patients were randomised to HBO (20 sessions at 2.4 ATA, 90 min) plus standard care (n = 40) or standard care alone (n = 40). Primary outcome: percentage ulcer area reduction at day 30. Blinded assessors measured wounds, though participants knew their treatment allocation. HBO group had greater area reduction (62.1% ± 22.1% vs. 41.7% ± 21.5%; mean difference 20.4%, 95% CI: 10.1–30.7, p < 0.001; Cohen's d = 0.95). Complete healing at 90 days occurred in 62.5% vs. 30.0% (NNT = 3). TcPO2 increased from 26.1 ± 6.3 to 150.3 ± 45.6 mmHg in HBO group (p < 0.001). Pain decreased more with HBO (ΔVAS −5.0 vs. −1.5, p < 0.001). Three patients (7.5%) had mild ear barotrauma that resolved spontaneously. Main limitations were lack of sham control and 90-day follow-up. In this trial, adjunctive HBO was associated with faster short-term healing of refractory venous ulcers < 20 cm2. However, the open-label design and single-centre setting limit confidence in these findings. Sham-controlled multicentre trials with longer follow-up are needed before recommending routine use.
Pressure ulcers (PUs) (also termed pressure injuries [PIs]) remain a major patient safety issue, particularly in critical care and other high-risk healthcare settings. Nurses are central to PUs/PIs prevention; however, deficiencies in knowledge, attitudes, and preventive practices among nursing staff may negatively affect patient outcomes. To systematically synthesise global evidence on nurses' knowledge, attitudes, and practices related to PUs/PIs prevention, and to identify factors influencing preventive performance. A systematic review was conducted in accordance with PRISMA guidelines. Electronic databases including PubMed, CINAHL, EBSCO, MEDLINE, PsycINFO, and Springer were searched for studies published between 2011 and 2025. Eligible studies were primary research articles examining registered nurses' knowledge, attitudes, and/or practices regarding PUs/PIs prevention, using cross-sectional, observational, or non-experimental designs. Data extraction focused on study characteristics, settings, samples, assessment instruments, and key outcomes related to knowledge, attitudes, and preventive practices. Due to methodological heterogeneity, a narrative synthesis was performed. Twenty-nine studies from diverse geographical regions were included, with sample sizes ranging from 28 to 950 nurses. Overall, nurses' knowledge of PUs/PIs prevention was frequently inadequate, particularly in prevention-specific domains. In contrast, attitudes toward prevention were generally positive across studies. Preventive practices, however, were often suboptimal. Commonly reported barriers included staff shortages, high workload, limited resources, and insufficient institutional support. Higher educational attainment, specialised clinical experience, recent training, and professional seniority were consistently associated with better knowledge, more positive attitudes, and improved preventive practices. Although nurses generally demonstrate positive attitudes toward PUs/PIs prevention, persistent gaps in knowledge and practice remain. These findings underscore the need for structured education programmes, simulation-based training, and strengthened organisational support to enhance adherence to evidence-based prevention strategies. Future research should employ experimental and longitudinal designs, standardised measurement tools, and broader international representation to support sustainable improvements in PUs/PIs prevention and patient safety.
by Clarisse Kagoyire, Albert Ndagijimana, Gilbert Nduwayezu, Jean Nepo Utumatwishima, Jean Pierre Mpatswenumugabo, Marie Anne Mukasafari, Diane Rinda, Vedaste Ndahindwa, Kristina Elfving, Gunilla Krantz, Torbjörn Lind, Ali Mansourian, Renée Båge, Ewa Wredle, Elias Nyandwi, Aline Umubyeyi, Jean Baptiste Ndahetuye, Petter Pilesjö
Despite national progress, stunting remains prevalent in specific regions of Rwanda, highlighting the limitations of coarse-resolution data for effective mapping and intervention planning. This study explored optimal spatial resolution and analytical approach to capture localised dynamics and the multifactorial nature of stunting. A cross-sectional, population-based study was conducted in the Northern Province of Rwanda, focusing on children aged 1–36 months. Data were collected using structured questionnaires covering socio-demographic, economic, health, childcare, livestock factors and anthropometric measurements. Environmental characteristics were obtained from national datasets, while household geographic coordinates were captured using a customized mobile geodata platform (emGeo). After data cleaning, predictors were analysed using univariable and multivariable logistic regression as well as geographically weighted logistic regression (GWLR) to account for spatial heterogeneity. Among 601 children, stunting prevalence was 27% (boys 33.8%; girls 20.9%). GWLR improved model fit, increasing adjusted deviance explained from 34% to 39%. Significant predictors included child age (adjusted OR = 2.46; 95% CI: 1.78–3.39), male sex (OR = 2.83; 95% CI: 1.65–4.86), birthweight (OR = 0.71; 95% CI: 0.54–0.94), maternal autonomy (ability to refuse sexual intercourse; OR = 0.48; 95% CI: 0.27–0.86), inconsistent maternal social support (OR = 2.30; 95% CI: 1.20–4.42), household electricity access (OR = 0.48; 95% CI: 0.27–0.84) and handwashing facilities (OR = 0.21; 95% CI: 0.07–0.67). GWLR revealed substantial spatial heterogeneity in these factors, delineating areas where each factor matters most. This household-level, spatially explicit analysis reveals localised risk patterns often masked by aggregated national data. Prioritising context-specific interventions (such as electrification, hygiene promotion, and enhanced maternal social support), can enhance effectiveness. The proposed analytical workflow provides a model for addressing persistent stunting in other resource-limited settings.
Findings of previous studies on associations between dairy consumption and metabolic health status were inconsistent. This study aimed to assess the link between consumption of dairy foods and metabolic health status, brain-derived neurotrophic factor (BDNF) and adropin levels in adults.
Cross-sectional.
An observational study in Isfahan, Iran.
Adults (n=527) selected by multistage cluster random sampling. Dietary intakes were assessed via a validated 168-item food frequency questionnaire.
Anthropometric indices, blood pressure and biochemical parameters were assessed. The criteria proposed by Wildman et al were used to categorise participants into metabolically healthy and metabolically unhealthy (MU).
Participants had a mean age of 42.66 years (45.7% women). Moderate consumption of total dairy was, respectively, linked to 58% lower odds of MU (OR T2 vs T1=0.42; 95% CI 0.18 to 0.96), after taking all confounders into account. Participants in the middle versus low tertile of low-fat dairy intake showed 51% marginally lower odds of MU (OR T2 vs T1=0.49; 95% CI 0.22 to 1.08; p=0.08). No significant association was discovered between high-fat dairy intake and MU chance. However, higher total dairy intake was associated with lower odds of hypertension (OR T3 vs T1=0.36; 95% CI: 0.14 to 0.93). No significant associations were observed between dairy intake and BDNF or adropin levels.
Moderate consumption of total and low-fat dairy was associated with lower odds of being metabolically unhealthy in Iranian adults, but high-fat dairy intake was not. Hypertension was less common among individuals with higher dairy intake. No association was found between dairy intake and serum levels of BDNF or adropin.
Artificial intelligence (AI) is rapidly evolving, offering an expanding suite of capabilities that go beyond the traditional focus on prediction and classification. Generative AI (GenAI) and agentic AI could create transformative practices to support real-world evidence (RWE) generation for health research by streamlining studies, accelerating insights and improving decision-making. However, there is no published overview available describing the range of applications in RWE generation. This review aims to describe where and how genAI and agentic AI are applied across the domains of healthcare research tasks for RWE generation. Additionally, to map applications by tasks and methods across the product lifecycle continuum, and to identify emerging gaps and opportunities.
This Living Scoping Review (LSR) will include studies reporting an application and/or evaluation of genAI or agentic AI applied to one or more RWE generation research tasks. Searches will be conducted in Embase, MEDLINE and additional sources (eg, grey literature). Citations will be independently screened by two human senior reviewers for a substantive training dataset and a commercially available screening algorithm (Robot Screener) will complete screening with a human reviewer. The LSR will include reports of studies (primary or reviews) describing and/or evaluating the application of any genAI model for RWE generation in healthcare, in English, published from 1 January 2025 to the date of search. Data will be extracted from all studies included in the LSR by one independent senior reviewer using a piloted template, with 10% quality check by a second senior reviewer. Descriptive statistics will be used to summarise the applications of genAI per RWE research task, and the results of genAI evaluations. Thematic analysis will be used to describe genAI application patterns, trends, gaps and opportunities. The LSR protocol and reports will be updated annually, and findings will be published on a publicly available website (eg, ISPE—the International Society for Pharmacoepidemiology).
Ethical approval is not required due to use of previously published data. Planned dissemination includes peer-reviewed publication, presentation and short summaries.
In the field of medicine, there has been a growing understanding of the impact of social and economic inequities on patients’ health outcomes. Social medicine was established with the intention of addressing these social and economic drivers of health when caring for patients. Physicians who practise social medicine aim to take an interdisciplinary and interprofessional approach to patient care with an emphasis on the promotion of health equity and patient advocacy. As the effects of social determinants of health (SDOH) on health outcomes have become more widely appreciated, medical professional organisations and accrediting bodies have advocated for formal education on the impact of SDOH in undergraduate and graduate medical curricula. The goal of this scoping review is to examine how undergraduate and graduate medical education programmes in the USA have implemented social medicine concepts into their curricula.
The proposed scoping review will be conducted in accordance with the Joanna Briggs Institute methodology for scoping reviews. The review team worked with a medical librarian, who created a unique search for five databases (PubMed, Embase, Cochrane CENTRAL Register of Controlled Trials, ERIC and the Web of Science Core Collection). Additionally, we will conduct a grey literature search that includes medical school and residency programme websites, as well as Association of American Medical Colleges (AAMC), Council of Residency Directors in Emergency Medicine (CORD), Alliance for Academic Internal Medicine (AAIM) and Society for Academic Emergency Medicine (SAEM) conference abstracts. Two independent reviewers will assess all articles for eligibility. Data will be extracted using the Covidence data extraction tool. We will present the results of the extraction in tabular form. Themes identified during the full-text review and data extraction process will be discussed.
Data will be gathered from publicly accessible sources, so ethics approval is not necessary. The results will be disseminated through a peer-reviewed journal and reported at conferences related to medical education and social medicine.
This protocol is registered on OSF (https://doi.org/10.17605/OSF.IO/7PZ8U).
Child mortality continues to pose a major public health challenge across Asia. This study examines trends in under-5, infant and neonatal mortality and identifies key determinants, spatial risk patterns and projections through 2030 using spatiotemporal modelling.
We used national-level data from 41 Asian countries, representing over 80% of Asia’s population, between 2000 and 2022, incorporating 26 health, environmental and sociodemographic indicators. A hierarchical Bayesian model using Integrated Nested Laplace Approximation, incorporating fixed effects, spatially structured and unstructured random effects, and temporal smoothing, was used. Model performance was assessed via the Deviance Information Criterion, Watanabe-Akaike Information Criterion, coefficient of determination (R²), root mean squared error (RMSE) and mean absolute error metrics.
Under-5 mortality decreased significantly (p
The study highlights the critical role of immunisation and maternal education in reducing mortality, and the need for more targeted neonatal interventions. The white-box modelling framework enables both interpretability and reliable forecasting, supporting data-driven policy planning toward achieving advanced, equitable child survival, as outlined in Sustainable Development Goal 3.2.
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