Stroke nursing is widely recognised for its significant role across the whole multidisciplinary stroke care pathway.1 Ensuring that stroke nurses are equipped with the latest stroke specialist knowledge and skills is fundamental in providing high-quality and safe stroke care.1 2 However, in spite of the provision of nationally-recognised, quality-assured training and education programmes, for example, the Stroke-Specific Education Framework in the...

The findings from this study by Lee et al1 mirror findings from similar studies across the world, reiterating that children with disabilities are receiving inadequate supports, particularly if they are living in a poor community or if they come from a minority background. The publishing of this article comes at a...

There is well-established research evidence regarding the substantial health inequalities experienced by many adults with intellectual disabilities, with significant implications for their health, well-being and quality of life. Despite this evidence, many continue to die prematurely from conditions amenable to early interventions and preventative strategies. Limited knowledge, skills and confidence regarding the needs of adults with intellectual disabilities by some health professionals is evident. Reasonable adjustments can contribute positively...

Symptoms of physical discomfort, such as sleep disturbance, prenatal back pain and postnatal urinary stress incontinence, are commonly associated with pregnancy. Strategies to support women be relieved of, minimise or better manage these symptoms are a welcome approach to improving women’s quality of life whilst pregnant. Exercise is one of many lifestyle factors that...

Cardiac rehabilitation (CR) is a recommended treatment for patients with cardiovascular disease (CVDs), given the rising number of cardiac incidents due to ageing population and modern lifestyles.1 To improve accessibility and follow-up support for optimal health, e-platforms are increasingly being used. Virtual CR uses technology-based methods such...

Caesarean section (CS) rates are rising globally from 7% in 1990 to 21% in 2018.1 There is significant disparity between different economic environments across countries and within populations of the same country with the more affluent, more educated women often declaring a preference for CS.2 The use of appropriate CS has been a life-changing and...

Emergency departments (EDs) have a crucial role in suicide prevention. Around 18% of people who died by suicide presented to ED in the month prior to death, commonly for self-harm.1 A hospital presentation for self-harm is one of the strongest risk factors for suicide;...

Advanced practice nursing (APN) refers to an expanded scope of practice beyond the generalist level to provide direct healthcare services, including prevention, diagnosis, therapeutics and illness management.1 2 APNs require roles and levels of practice based on measurable competencies.1 Competency frameworks can be used to develop APN graduate programmes and serve for quality improvement. A change in the legal framework for APNs’ roles and...

Central venous access devices (CVADs) are required by children to allow the safe delivery of intravenous therapies that must be delivered in the large central veins of the body. CVADs are associated with many complications such as infections, thrombosis and occlusions.1 A strategy used to prevent such complications is to instil a solution into the catheter to provide a ‘lock’. There are many ‘lock solutions’ available and used within paediatric medicine. Current...

To assess the association between the maternal continuum of healthcare and child immunisation in East Africa using propensity score matching (PSM).

Cross-sectional study using Demographic and Health Survey data.

This study was conducted in East African countries.

This study included a weighted sample of 13 488 women with children aged 12–23 months.

Child immunisation was the outcome variable of this study.

The PSM estimates indicate that the average treatment effect on the treated for complete child immunisation was 0.0583, meaning that children of mothers who received a complete maternal continuum of care had a 5.83% higher probability of being fully immunised compared with children of mothers with incomplete care. Expressed relative to the treated group’s mean, this corresponds to a 7.48% increase. Additionally, our results indicated that the population average treatment effect was 0.0629. This means that, on average, a complete continuum of maternal healthcare increases the probability of full child immunisation by approximately 6.29% across the entire population.

The study highlights that children whose mothers receive comprehensive maternal healthcare are more likely to complete their childhood immunisations. This finding underscores the need to integrate immunisation services into maternal healthcare programmes to enhance vaccination coverage and promote better child health. To maximise this connection, improving access to maternal healthcare, especially in underserved regions, is crucial, along with ensuring that immunisation is a regular part of maternal care.

The ‘time-limited trial’ for patients with critical illness is a collaborative plan made by clinicians, patients and families to use life-sustaining therapies for a defined duration. After this period, the patient’s response to therapy informs decisions about continuing recovery-focused care or transitioning to comfort-focused care. The promise of time-limited trials to help navigate the uncertain limits and benefits of life-sustaining therapies has been extensively discussed in the palliative and critical care literature, leading to their dissemination into clinical practice. However, we have little evidence to guide clinicians in how to conduct time-limited trials, leading to substantial variation in how and why they are currently used. The overall purpose of this study is to characterise the features of an optimal time-limited trial through a rich understanding of how they are currently shaping critical care delivery.

We are conducting an observational, multicentre, focused ethnography of time-limited trials in patients with acute respiratory failure receiving invasive mechanical ventilation in six intensive care units (ICUs) within five hospitals across the US. Study participants include patients, their surrogate decision makers and ICU clinicians. We are pursuing two complementary analyses of this rich data set using the open-ended, inductive approach of constructivist grounded theory and, in parallel, the structured, deductive methods of systems engineering. This cross-disciplinary, tailored approach intentionally preserves the tension between time-limited trials’ conceptual formulation and their heterogeneous, real-world use.

This study has been reviewed and approved by the University of Wisconsin Institutional Review Board (IRB) as the single IRB (ID: 2022-1681; initial approval date 23 January 2023). Our findings will be disseminated through peer-reviewed publication, conference presentations, and summaries for the public.

NCT06042621.

To explore why there is variation in implementation of multifactorial falls prevention practices that are recommended to reduce falls risks for older patients in hospital.

Mixed method, realist evaluation.

Three older persons and three orthopaedic wards in acute hospitals in England.

Healthcare professionals, including nurses, therapists and doctors (n=40), and patients aged 65 and over, and carers (n=31).

We examined mechanisms hypothesised to underpin the implementation of multifactorial falls risk assessment and multidomain, personalised prevention plans.

We developed an explanation detailing that how contextual factors supported or constrained implementation of recommended falls prevention practices.

Nurses led delivery of falls risk assessment and prevention planning using their organisation’s electronic health records (EHR) to guide and document these practices. Implementation of recommended practices was influenced by (1) organisational EHR systems that differed in falls risk assessment items they included, (2) competing priorities on nurse time that could reduce falls risk assessment to a tick box exercise, encourage ‘blanket’ rather than tailored interventions and that constrained nurse time with patients to personalise prevention plans and (3) established but not recommended falls prevention practices, such as risk screening, that focused multidisciplinary communication on patients screened as at high risk of falls and that emphasised nursing, rather than Multidisciplinary Team (MDT), responsibility for preventing falls through constant patient supervision.

To promote consistent delivery of multifactorial falls prevention practices, and to help ease the nursing burden, organisations should consider how electronic systems and established ward-based practices can be reconfigured to support greater multidisciplinary staff and patient and carer involvement in modification of individual falls risks.

Inside CKD aims to assess the burden of chronic kidney disease (CKD) and the cost-effectiveness of screening programmes in Belgium.

Microsimulation-based modelling.

Data derived from national statistics and key literature from Belgium.

Virtual populations of ≥10 million individuals, representative of Belgian populations of interest, were generated based on published data and cycled through the Inside CKD model. Baseline input data included age, estimated glomerular filtration rate (eGFR), urine albumin-creatinine ratio (UACR) and CKD status.

Outcomes included the clinical and economic burden of CKD during 2022–2027 and the cost-effectiveness of two different CKD screening programmes (one UACR measurement and two eGFR measurements or only two eGFR measurements, followed by renin-angiotensin-aldosterone system inhibitor treatment in newly diagnosed eligible patients). The economic burden estimation included patients diagnosed with CKD stages 3–5; the screening cost-effectiveness estimation included patients aged ≥45 years with no CKD diagnosis and high-risk subgroups (with cardiovascular disease, hypertension, type 2 diabetes or aged ≥65 years).

Between 2022 and 2027, CKD prevalence is estimated to remain stable and substantial at approximately 1.66 million, with 69.9% undiagnosed. The total healthcare cost of patients diagnosed with CKD is expected to remain stable at approximately 2.15 billion per year. The one UACR, two eGFR measurement screening programme was cost-effective in all populations, with an incremental cost-effectiveness ratio of 3623 per quality-adjusted life year (QALY) gained in those aged ≥45 years, well below the estimated willingness-to-pay threshold of 43 839 per QALY gained.

Without changes to current practice, the disease burden of CKD in Belgium is predicted to remain substantial over the next few years. This highlights the need for timely diagnosis of CKD and demonstrates that, in line with guideline recommendations, implementing a CKD screening programme involving UACR and eGFR measurements followed by treatment would be cost-effective.

Frontotemporal dementia (FTD) remains challenging to diagnose owing to the marked clinical heterogeneity associated with the disease. This heterogeneity stems from the complex interplay of various clinical phenotypes, genetic mutations and underlying neuropathologies, such as TDP-43 and tau proteinopathies. Currently, there is no single confirmed biomarker that can reliably diagnose disease, specifically disease stage, disease subtype and underlying neuropathology. Recent research has indicated that neuroimaging techniques hold the most promise for the discovery of FTD biomarkers. We propose a protocol for a systematic review and meta-analysis to identify MRI and fluorodeoxyglucose positron emission tomography (FDG-PET) biomarkers associated with clinical, genetic and pathological subtypes of FTD. We aim to address the following research questions: can regional MRI volumetry and FDG-PET hypometabolism differentiate (1) FTD patients from healthy controls; (2) sporadic cases of FTD from healthy controls; (3) genetic cases of FTD (MAPT, GRN, and C9orf72 mutations); and (4) underlying neuropathology, specifically discriminating between tau- and TDP-43-based FTD?

Literature searches will be performed across three databases: Ovid Medline, Ovid Embase and Web of Science. Publications that have fewer than five participants, are non-human-based, not written in the English language or contain unpublished data will be excluded. Two independent investigators will screen and subsequently evaluate which publications to include. Should any disagreements arise, a third investigator will settle the discrepancy. After the random-effects meta-analysis has been used to extract and pool the data, I² analysis will be used to quantify heterogeneity.

Ethics approval will not be required for this research. On completion, the systematic review and meta-analysis will be published in a peer-reviewed journal.

CRD42024545302.

We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons.

We developed a semistochastic transmission model of COVID-19.

Five regional state-owned prisons within North Carolina.

Several thousand incarcerated individuals.

We measured (1) the observed and simulated average daily infection rate of COVID-19 for each prison studied in 30-day intervals, (2) the observed and simulated average daily recovery rate from COVID-19 for each prison studied in 30-day intervals, (3) the mean absolute percentage error (MAPE) of each prison’s summary statistics and the simulated results and (4) the parameter estimates of key predictors used in the model.

The COVID-19 pandemic disparately affected incarcerated populations in the USA, with severe morbidity and infection rates across the country. In response, many predictive models were developed to help mitigate risk. However, these models did not feature the systemic factors of prisons, such as vaccination rates, populations and capacities (to determine overcrowding) and design and were not generalisable to other prisons.

An agent-based model that used geospatial contact networks and compartmental transmission dynamics was built to create predictive microsimulations that simulated COVID-19 outbreaks within five North Carolinian regional prisons between July 2020 and June 2021. The model used the characteristics of an outbreak’s initial case size, a given facility’s capacity and its incarcerated vaccination rate as additional parameters alongside traditional susceptible-exposed-infected-recovered transmission dynamics. By fitting the model to each prison’s data using approximate Bayesian computation methods, we derived parameter estimates that reasonably modelled real-world results. These individualised estimates were then averaged to produce generalised parameter estimates for North Carolina state prisons overall.

Our model had a mean average MAPE score of 23.0 across all facilities, meaning that it reasonably forecasted facilities’ average daily positive and recovery rates of COVID-19. Our model estimated an average incarcerated vaccination rate of 54% across all prisons (with a 95% CI of ±0.12). In addition, the prisons of this study were estimated to be operating at 90% of their capacity on average (95% CI ±0.16). Given the high levels of COVID-19 observed in these prisons, which averaged over one-third positive tests on respective 1-day maxima, we conclude that vaccination levels were not sufficient in curbing COVID-19 outbreaks, and high occupancy levels likely exacerbated the spread of COVID-19 within prisons.

In addition, data gaps in facilities without recorded daily testing resulted in poor spread predictions, demonstrating how important consistent data release practices are in incarcerated settings for accurate tracking and prediction of outbreaks.

The findings of this study better quantify how spatial contact networks and facility-level characteristics unique to congregate living facilities can be used to predict infectious disease spread. Our approach also highlights the need for increased vaccination efforts and potential capacity reductions to mitigate COVID-19 transmission in prisons.

This study aimed to identify potential categories of rotation stress among nurses undergoing standardised training and to explore the relevant factors associated with each profile.

Cross-sectional study.

Data were collected in November 2024 from three hospitals in Zunyi City, Guizhou Province, China.

Nurses undergoing standardised training were recruited for this study.

Convenience sampling method was used to recruit standardised training nurses in November 2024 from three hospitals in Zunyi City, Guizhou Province. The survey instruments used included demographic characteristics questionnaire, the Nursing Job Rotation Stress Scale and the Maslach Burnout Inventory. Latent profile analysis method was used to analyse rotation stress characteristics of nurses during standardised training. Additionally, logistic regression was performed to identify the factors influencing different characteristics.

A total of 493 nurses completed the questionnaires, of which 453 were valid, resulting in a validity rate of 91.88%. Rotation stress was classified into two profiles: ‘Low Emotional Response–Stress Adaptation Group’ (21.5%) and ‘High Emotional Response–Stress Distress Group’ (78.5%). Univariate analysis showed that highest degree (²=11.389, p=0.001), monthly night shifts (²=33.913, p2=20.858, p2=12.319, p2=35.754, p2=15.357, p=0.002) significantly influenced the two subgroups. Multivariable regression analysis revealed significant associations of monthly night shifts, pretraining work experience, training duration and burnout level (p

Nurses undergoing standardised training exhibit two distinct rotation stress profiles. Monthly night shifts, pretraining work experience, training duration and burnout are significant factors. Nursing managers should implement targeted interventions such as mindfulness, laughter therapy and emotional freedom techniques to mitigate stress and thereby enhance the quality of standardised training.

Many patients receive oral anticoagulation for reduced stroke risk in atrial fibrillation or as treatment or prevention of venous thromboembolism. Oral factor Xa inhibitors (oral FXaI, eg, apixaban, edoxaban or rivaroxaban) are commonly prescribed for this indication. Dabigatran, an oral direct thrombin inhibitor, is similarly approved. In vitro and animal model evidence suggests that dabigatran also has direct effects on Staphylococcus aureus virulence and infection. Observational data have shown that dabigatran users are less likely to develop S. aureus bacteremia (SAB), and a small randomised controlled trial showed that dabigatran has anti-S. aureus effects when compared with low molecular weight heparins during bloodstream infection. We seek to answer whether dabigatran is superior to the oral FXaIs in achieving better SAB outcomes among patients who independently require oral anticoagulation. We report the intervention-specific protocol, embedded in an adaptive platform trial.

The S. aureus Network Adaptive Platform (SNAP) trial [NCT05137119] is a pragmatic, randomised, multicentre adaptive platform trial that compares different SAB therapies for 90-day mortality rates. For this intervention (‘Dabi-SNAP’), patients receiving therapy with an oral FXaI will be randomised to continue as usual or to change to dabigatran as of the next scheduled dose. All subjects will receive standard of care antibiotics and/or antibiotics allocated through other active domains in the platform. As the choice of anticoagulant may not demonstrate large differences in mortality, a ranked composite of death and adverse outcomes (Desirability of Outcome Ranking, or DOOR) was chosen as the primary outcome.

The study is conditionally approved by the research ethics board of the McGill University Health Centre: identifier 2025-10900. Trial results will be published open access in a peer-reviewed journal and presented at a global infectious disease conference. The trial is registered at clinicaltrials.gov with the identifier NCT06650501.

NCT0665050.

To determine whether a biopsychosocial model of suicidality, specifically sleep, nutrition, physical exercise, mindfulness, social connectedness, lower socioeconomic status (SES) and sex are uniquely associated with increased suicidal ideation, longitudinally over adolescence.

Longitudinal, prospective cohort study.

A structured self-report questionnaire was collected as part of the Longitudinal Adolescent Brain Study at the University of the Sunshine Coast’s Thompson Institute (Queensland, Australia) from July 2018 to January 2024.

159 Australian adolescents (n=91 female; 68 male) aged 12 to 17 years.

Self-reported suicidal ideation was measured longitudinally. Data were also collected on self-reported lifestyle factors (sleep, nutrition, physical exercise, mindfulness and social connectedness), psychological distress, SES and sex. All measures were collected at 4-monthly intervals for each participant for up to 5 years (maximum of 15 time points).

Significant relationships were identified between increased suicidal ideation and poor sleep (OR 2.6, 95% CI 1.4 to 4.6, p=0.002), socioeconomic disadvantage (SES quintile 1: OR 6.3, 95% CI, 1.8 to 21.8, p=0.004; SES quintile 2: OR 8.7, 95% CI 1.4 to 56.2, p=0.022), psychological distress (OR 5.7, 95% CI 2.1 to 15.6, p≤0.001) and eating habits (β –0.08, 95% CI –0.2 to –0.0).

Poor sleep, socioeconomic disadvantage, psychological distress and eating habits were all found to be significantly associated with increased adolescent suicidal ideation over time. These biopsychosocial factors should be considered in targeted interventions and policies for reducing adolescent suicidality. Further research should employ multilevel modelling to examine factor interactions and rigorously evaluate interventions targeting lifestyle factors and socioeconomic inequalities through randomised controlled trials and quasi-experimental designs.