The research explored how individuals experience chronic pain within their everyday social contexts over a 12-month period. The study focused on the interplay between pain and social worlds, through analysis of experiences of social relationships included in engagement in meaningful activities such as hobbies and work.

Drawing on ethnographic approaches from social science, the study involved 295 research visits with 19 participants living with chronic pain (totalling approximately 418 hours of fieldwork) and 48 semistructured interviews (around 30 hours).

The study was carried out in South West England, UK.

19 participants were identified through the Avon Longitudinal Study of Parents, 12 women and 7 men, all identifying as white British, aged between 32 and 33 years.

The analysis identified three key themes: (1) Social connections and everyday fluctuations in chronic pain; and (2) the interplay between work, family roles and fluctuations in chronic pain; and (3) Social spiralling and fluctuations in chronic pain. The third theme builds on and combines the patterns identified in the first two themes, drawing together how changes in social connections and balancing of roles coalesce in the experience of fluctuation in chronic pain. Relationships, roles and how these were experienced varied across participants, but all of their descriptions indicated that the constant flux was understood, even if financial or other circumstances meant that people were unable to exert agency that would have proved beneficial. Across themes, interconnected social processes appear to shift and move together, amplifying their collective impact on the experience of chronic pain.

Fluctuations in chronic pain were complex, shaped by and entangled with social contexts that vary in meaningful ways. The findings suggest that to address chronic pain effectively, health and social care may need to move beyond individual-level solutions to consider the multiple, interacting layers of influence that shape and sustain the experience of chronic pain.

To investigate Vietnamese undergraduate students’ knowledge and attitudes towards contraception and their associated factors.

Cross-sectional study.

Six universities in Vietnam from April to May 2025.

1134 undergraduate students.

Students’ knowledge and attitudes towards contraception were measured via an online survey, and a cut-off point of 50% was used to categorise their scores. Associations between students’ knowledge and attitude scores and their sociodemographic characteristics, academic background, sexual and relationship experiences, contraceptive education and information sources were evaluated using multivariable linear regression. Independent variables were selected through Bayesian Model Averaging.

Students’ average knowledge and attitude scores were 10.93±2.86 (possible range: 0–22; actual range: 0–19) and 54.14±6.57 (possible range: 15–75; actual range: 35–74), respectively. 62.1% demonstrated good knowledge, and 91.4% showed positive attitudes towards contraception. Higher knowledge was observed among older students (per 1 year increase, β=0.33, 95% CI 0.23 to 0.43), those from public universities (β=1.32, 95% CI 0.64 to 2.00), using mass media as a contraceptive information source (β=0.58, 95% CI 0.25 to 0.91) and having sexual experience (β=1.16, 95% CI 0.73 to 1.58). By contrast, students who were single and had never been in a romantic relationship (β=–0.88, 95% CI –1.23 to –0.52) and those enrolled in non-healthcare disciplines (β=–1.06, 95% CI –1.55 to –0.56) had significantly lower knowledge scores. Positive attitudes were more prevalent among female students (males vs females: β=–2.07, 95% CI –2.80 to –1.34), those using the Internet as a source of contraceptive information (β=5.65, 95% CI 4.29 to 7.01) and those with higher knowledge scores (per one-unit increase, β=0.67, 95% CI 0.55 to 0.79). All associations were statistically significant (p

In general, undergraduate students’ knowledge of contraception was relatively low, while their attitudes were positive. Implementing education programmes focusing on correct usage and storage of condoms and the safety of emergency contraceptive pills may help improve their understanding and promote safer sexual practices, thereby contributing to reducing the risk of sexually transmitted infections and unintended pregnancies.

Food retail outlets in sports and recreation facilities often fail to support healthy eating, despite aligning with healthy lifestyles and goals of local governments (LGs) that often own or manage them. LGs face barriers to implementing facility changes including inadequate staffing, training and incentives. The Promoting CHANGE initiative was co-designed to support LGs in improving and sustaining healthier food and drink offerings in these settings.

A 3-year, type 2 effectiveness-implementation hybrid cluster randomised controlled trial will evaluate the Promoting CHANGE capacity-building and support package in three Intervention and four Control LGs in Victoria, Australia (August 2023–July 2026). The co-designed initiative includes human resource support, training, tools, technical assistance, community-of-practice groups, feedback based on food outlet audit and sales data and small grant incentives. Using the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) evaluation framework, the trial’s co-primary outcomes are the percentage of least healthiest food and drinks (1) displayed (implementation) and (2) sold weekly (effectiveness). Key secondary outcomes are effectiveness (sales and revenue); facility-level adoption, implementation, maintenance of healthy changes; cost-effectiveness (within-trial modelled economic evaluation). Findings will provide evidence of the initiative’s effectiveness and scalability, informing recommendations for advancing healthier food environments in over 6000 community-based food outlets across 500 Australian LGs, with implications globally.

This study has received approval from the Deakin University Human Research Ethics Committee (reference number HEAG-H 92_2023). The results will be published in scientific peer-reviewed journals along with plain language summaries for participants.

ACTRN12621001120864.

Status epilepticus (SE) in adults is a serious neurological emergency that can lead to high morbidity and mortality rates. Although functional outcomes are often assessed using general scoring systems, limited data on health-related quality of life (HRQoL) in patients admitted to intensive care units (ICUs) are still limited. Furthermore, comprehensive evaluations of patient-reported physical, cognitive, mental health and psychological outcomes are lacking in this population. POSEIDON 2 aims to assess HRQoL and cognitive, physical and psychological impairments at 3 and 12 months after ICU discharge following SE and quantify caregiver burden.

POSEIDON 2 is a prospective, multicentre, longitudinal study conducted in 19 French ICUs. The study combines data from the SE ICTAL Registry with data from patients who survived admission to the ICU for SE, who will be recruited for the study. The study also includes patient-reported outcome (PRO) data collected 3 (M3) and 12 (M12) months after discharge from the ICU using validated instruments. The Zarit scale will be used to measure the burden on caregivers at M3 and M12. The primary endpoint is the prevalence of overall HRQOL impairment at M3 and M12, as defined by dichotomous scores on the physical and mental components of the 36-Item Short Form Health Survey compared with those of the general population. Secondary endpoints include domain-specific impairments, such as cognitive function, dependence, mental health and patient experiences. The sample size has been calculated based on an estimated prevalence of 75% for HRQoL impairment, with a planned sample size of 140 patients.

The POSEIDON 2 study protocol received ethical approval from the ethics committee ‘Comité de Protection des Personnes Ouest VI’ on 5 October 2023 (#2023-A01223-42). The study is conducted in accordance with the Declaration of Helsinki, Good Clinical Practice and the regulatory requirements of France. Written informed consent is obtained from participants, who are able to decline participation or withdraw from the study at any time. Findings will be disseminated through publication in peer-reviewed journals and presentations at scientific conferences.

NCT06100978.

Gastrointestinal bleeding (GIB) is a common cause of hospitalisation and decompensation in the hospital, is routinely managed by a wide variety of subspecialties, and requires a host of both technical and non-technical skills (NTS). Simulation-based training (SBT) exercises are an excellent means of training physicians and other healthcare professionals in both technical skills and NTS and are frequently used to teach and assess management of high-stress situations such as cardiopulmonary resuscitation and trauma situations. The manner in which SBT is used to train other types of clinical situations—and at what frequency—is less clear. The extent to which such training programmes are evaluated is also not clear. Here, we intend to characterise the body of literature describing SBT programmes for bedside management of GIB. In doing so, we will gain valuable insight into the current state of SBT as it relates to training healthcare professionals to handle complicated clinical situations.

Our review will follow the six-stage framework outlined by Arksey and O’Malley while considering elaborations and guidance made by Levac et al and the Joanna Briggs Institute. The protocol and review will be created in alignment with the preferred reporting items for systematic reviews and meta-analyses—scoping review checklist and explanatory paper. Using a carefully constructed search strategy, the following databases will be queried from their inception through 31 December 2025: PubMed, Embase, Scopus, Web of Science and ERIC. Following the initial database query and two-step screening process, included articles will be systematically examined and will serve as our data source. Our efforts will ultimately answer the following research question: How is simulation-based training currently used to teach bedside management of GIB to physicians (residents, fellows and attending physicians), and how are these simulation-based training exercises studied and evaluated?

Ethical approval from the Institutional Review Board is not required for this study since all investigations are being carried out on previously published manuscripts. Final results will be compiled and submitted for publication once the study has been completed and all data has been charted/analysed.

Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is the gold standard for diagnosis and indicates PE severity through radiological markers of right heart strain. However, accurate interpretation and communication of these findings is often suboptimal in real-world practice. Artificial intelligence (AI) could alleviate pressure on radiology services by supporting PE identification, risk stratification and worklist prioritisation. Before widespread adoption, AI tools must be rigorously validated for diagnostic accuracy, safety and clinical impact.

This pragmatic single-centre, non-randomised quasi-experimental study will evaluate the diagnostic accuracy, feasibility, and clinical-cost impact of AI-assisted PE detection and risk stratification using AIDOC and IMBIO software. We will recruit two consecutive cohorts of adult patients undergoing CTPAs for suspected PE: a comparator cohort (12 months pre-AI implementation) and an intervention cohort (12 months post-AI implementation). AI will be applied retrospectively to the comparator cohort, while in the intervention cohort, radiologists will have contemporaneous access to the AI’s interpretation of CTPA images.

A subset of retrospective scans, both PE-positive and PE-negative, will undergo expert thoracic radiologist review to establish a reference standard. Data on patient demographics, clinical management and outcomes will be collected. Clinical management pathways and patient outcomes will be compared between cohorts to assess AI’s influence on acute PE management. Health economic modelling will assess the cost-effectiveness of integrating AI technology within the diagnostic workflow of acute PE.

This study was approved by the UK Healthcare Research authority (IRAS 311735, 10 May 2023). Ethical approval was granted by West of Scotland Research Ethics Service (23/WS/0067, 3 May 2023). Results will be shared with stakeholders, presented at national and international conferences, and published in open-access peer-reviewed journals.

NCT06093217.

To develop a machine learning (ML)-based risk prediction model for 1-year mortality in ST-elevation myocardial infarction (STEMI) patients undergoing primary or rescue percutaneous coronary intervention.

Patient data, including demographic, clinical, biochemical, imaging and procedural details, were extracted from electronic medical records. Data were split into training (80%) and test (20%) sets. Eight supervised learning algorithms were evaluated: least absolute shrinkage and selection operator, ridge, Elastic Net (EN, decision tree, support vector machine, random forest, AdaBoost and gradient boosting. Feature selection was performed sequentially with subsets of the top 5/10/15/20/25/30 features. Model hyperparameters were optimised using fivefold cross-validation with area under the curve (AUC) as the scoring metric.

Single, tertiary Australian centre.

We analysed data from 1863 consecutive STEMI patients treated at a tertiary Australian centre from July 2010 to December 2019.

The primary outcome was 1-year all-cause mortality.

The 1-year mortality rate was 13.6% (n=254) in our cohort. The EN model with five key features (parsimonious model) demonstrated superior performance, achieving an AUC of 0.821, which was comparable to the full 30-variable model (AUC 0.821). Advanced age, pre-hospital cardiac arrest and management with balloon angioplasty alone were identified as predictors of increased mortality risk, while family history of premature coronary disease and higher left ventricular ejection fraction were associated with improved survival. To facilitate clinical implementation, we developed a user-friendly web application for individualised risk assessment.

Our ML model accurately predicts 1-year mortality in STEMI patients using only five clinical variables. This tool offers improved accuracy and ease of use compared with existing risk stratification methods, potentially enhancing patient stratification and guiding treatment decisions in STEMI management.

Premature birth is the leading cause of neonatal morbidity and mortality. Understanding perceptions, beliefs and attitudes towards preterm births, and how these factors influence care provision at health facilities and at home is crucial for improving preterm newborns’ health outcomes.

We conducted an exploratory qualitative study at Batu and Meki communities in the East Shewa Zone of Oromia Region, Ethiopia. We conducted in-depth interviews (n=81) and focus group discussions (n=8) using semistructured guides. The study participants included women who had preterm births, family members, community members, healthcare workers and expert stakeholders. We audio-recorded, transcribed the interviews and coded the transcripts. We employed the socioecological model to present perceptions, beliefs and attitudes towards preterm birth at individual, interpersonal, organisational and societal levels.

Giving birth to a preterm newborn is often associated with fear, stress, unhappiness, concern and worry. At the individual level, preterm newborns’ mothers often feel guilt and self-blame. Families tend to keep preterm birth a secret due to perceptions of ‘incompleteness’. At the interpersonal level, preterm newborns are often stigmatised and families are disappointed by mothers who give birth prematurely. However, some believe that preterm newborns are accepted within the community. At the organisational level, healthcare providers find the causes of preterm birth unpredictable, they do not consider preterm births prevalent, and consider some of them as abortion. There is also a common belief that preterm infants have a low survival rate, leading to the deprioritisation of their care. At the societal level, some believe preterm births are caused by divine will as punishment for sins committed by the mother, while others think they occur naturally. Preterm newborn’s death is often not acknowledged as true loss and families are discouraged from grieving.

Our study found that the beliefs, perceptions and attitudes surrounding preterm birth, held by families, communities, healthcare providers and society at large, influence the care that preterm newborn–mother dyads receive both at home and within health facilities. Addressing these requires a multifaceted approach targeted at deeply ingrained attitudes and perceptions.

Concentration of care and collaborations between hospitals increasingly reorganise oncological care into Comprehensive Cancer Networks (CCNs), aiming to improve care outcomes and reduce costs. This study aims to evaluate the effect of four CCNs on healthcare cost and outcomes for patients with colon or pancreatic cancer.

We performed a retrospective cohort study based on claims data in the Netherlands. Data included patient characteristics, health insurance claims and healthcare activities. All costs were indexed to Euro 2023. We performed propensity score matching per CCN and applied regression models with a difference-in-difference design, adjusting for non-linear trends before the start of a CCN.

The study was conducted within the Dutch healthcare system, analysing claims data representative of hospital-based cancer care.

A total of 92 309 patients with colon cancer and 25 630 patients with pancreatic cancer were included. Patients were identified through health insurance claims between January 2013 and June 2021.

Implementation of four CCNs, which included structured collaboration between healthcare organisations. Follow-up duration was 2 years post-diagnosis.

Primary outcomes included 2-year oncological healthcare costs and 2-year mortality rate. Secondary outcomes involved care process indicators: referral rates and double diagnostics (an identical diagnostic activity performed within 4 weeks after referral to a secondary hospital).

For colon cancer, one CCN showed a significant decrease in 2-year oncological costs (–1899). One CCN showed a significant decrease in referrals (–3.6%) and one a significant increase (+4.4%). No significant effect on 2-year mortality and double diagnostic activities was found. For pancreatic cancer, one CCN showed a significant decrease in 2-year oncological costs (–3747) and one CCN showed a significant increase in double diagnostic activities (+8.6%). No significant effect on referrals and 2-year mortality was found.

CCNs do not consistently reduce costs or affect referral patterns or redundant diagnostics. No impact on mortality was found. Additional insights into determinants of CCN success are required before broad implementation is warranted.