To identify psychosocial and structural barriers to prompt malaria care-seeking in Malawi by applying the Three Delays Model (delay 1: deciding to seek care; delay 2: reaching a facility; delay 3: receiving quality care).

cross-sectional study.

Nationally representative data collected from Malawi communities between 25 May 2021 and 1 July 2021.

913 female caregivers who reported a child with fever in the past 2 weeks.

Prompt care-seeking for fever (same or next day) from a qualified health provider.

Prompt care-seeking was primarily associated with delay 1 (adjusted OR (aOR) 0.58, 95% CI 0.43 to 0.78) and psychosocial (aOR 0.59; 95% CI 0.44 to 0.79) factors. Significant factors included incorrect knowledge of malaria symptoms, cause and diagnosis (aOR 0.71: 95% CI 0.53 to 0.97), negative attitudes towards care-seeking (aOR 0.58; 95% CI 0.41 to 0.82), incorrect knowledge of when and where to seek care (aOR 0.19: 95% CI 0.07 to 0.50) and far distance from a health facility (aOR 0.67, 95% CI 0.49 to 0.93).

Despite the availability of free malaria services, significant bottlenecks remain in the initial decision-making phase. To reduce malaria mortality, national programmes should prioritise social and behaviour change interventions that move beyond general awareness to target specific care-seeking attitudes and intra-household decision-making dynamics.

To examine whether satisfaction with information provision and involvement in decision-making among people with breast cancer (BC) treated in English hospitals was associated with age and other patient characteristics.

Retrospective population-based cohort study, conducted as part of the National Audit of Primary Breast Cancer and the National Audit of Metastatic Breast Cancer.

National Cancer Patient Experience Survey (CPES) responses linked to National Cancer Registration data for BC patients (stage 0–4) diagnosed between 2017 and 2021.

40 018 patients diagnosed with BC who responded to CPES between 2017 and 2021.

Responses to questions about overall experience of care, satisfaction with information provision, involvement in decision-making and clinical nurse specialist (CNS) contact were examined. The relationships between responses, personal, disease and clinical characteristics were analysed using multivariable Poisson regression.

90% of patients rated their overall care as ≥8 out of 10 (0=very poor; 10=very good), decreasing to 82% for those aged 40 years (p

Most patients reported high satisfaction with their BC care. Satisfaction was consistently lower among younger people and those with advanced disease; this finding might partly reflect more complex pathways but requires further exploration, ideally in partnership with patients to codesign solutions. Actionable remedial strategies are proposed.

This study investigated perinatal depressive symptoms among pregnant and postpartum Filipino women.

Cross-sectional survey.

The Philippines.

Participants were recruited online and face-to-face from maternal care facilities.

Perinatal depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS) score, with prevalence calculated based on ≥13 cut-off, indicating clinically significant symptoms of depression. Patterns of depressive symptoms were examined by demographics, perinatal time period and other obstetric information using adjusted regression coefficients (ab) and risk ratios (aRR).

A total of 856 women participated in the study, comprising 356 pregnant and 500 postpartum women. EPDS scores were, on average, similar between pregnant (14.4) and postpartum women (14.1). Using the locally validated cut-off of ≥13 revealed that 69.1% of pregnant and 62.0% of postpartum women reported clinically significant depressive symptoms. Consistent EPDS scores and prevalence were observed across pregnancy trimesters and within 12 months postpartum and beyond. Women who received adequate prenatal care were less likely to experience antenatal (ab=–1.59, 95% CI –3.13 to –0.05) and postpartum (ab=–1.30, 95% CI –2.48 to –0.12) depressive symptoms. Postpartum EPDS scores and depressive symptom prevalence (EPDS score ≥13) were higher among 18–24-year olds (ab=1.96, 95% CI 0.30 to 3.61; aRR=1.23, 95% CI 1.03 to 1.47) and single mothers (ab=3.46, 95% CI 0.22 to 6.71; aRR=1.42, 95% CI 1.07 to 1.90), compared with older and married mothers, respectively.

At least 60% Filipino mothers experienced clinically significant perinatal depressive symptoms, which exceeds the established global average of 25%. Younger and single postpartum women were at greater risk, while pregnant and postpartum women who attended adequate prenatal visits were less likely to report depressive symptoms. Our study underscores the need for further research to uncover the true burden of poor perinatal mental health and calls for targeted early interventions and integrative public health strategies to support at-risk mothers, particularly those from socially disadvantaged backgrounds.

To examine how socioeconomic deprivation influences referral pathways to emergency departments (EDs) and to assess how these pathways affect subsequent hospital outcomes.

Retrospective observational study.

Emergency department of a large teaching hospital in the East of England, providing secondary and tertiary care.

482 787 ED attendances by patients aged 16 years and over, recorded between January 2019 and December 2023. Patients were assigned Index of Multiple Deprivation (IMD) deciles based on residential postcode.

Referral source (general practitioner (GP), National Health Service (NHS) 111, ambulance, self-referral, other), total ED time, 4-hour breach, hospital admission and unplanned return within 72 hours.

Substantial socioeconomic inequalities were observed in referral pathways. Patients from the most deprived areas were significantly less likely to be referred by a GP (4.7%) than those from the least deprived areas (14.7%) and more likely to arrive via ambulance (32% vs 24%). These differences persisted after adjusting for demographic, clinical and contextual variables. Ambulance referrals showed the longest ED stays, ranging from 347 to 351 min across IMD deciles (overall 95% CI 343 to 363) and the highest probability of 4-hour breaches (51%; 95% CI 50% to 53%). Self-referrals had the greatest rates of unplanned returns within 7 days (up to 7.1%; 95% CI 5.5% to 8.7%). In contrast, NHS 111 and GP referrals were associated with shorter stays, lower breach rates and fewer reattendances. Minimal variation in outcomes was observed across deprivation levels once referral source was accounted for.

Inequalities in how patients access emergency care, particularly reduced GP and NHS 111 referrals among more deprived groups, appear to underpin disparities in ED outcomes. Referral source captures important clinical and system-level factors that influence patient experience and resource use. Interventions to improve equitable access to structured referral pathways, particularly in more deprived areas, may enhance both the efficiency and fairness of emergency care delivery. Further research using national data is needed to assess broader policy implications and economic costs associated with differential access.

To examine the geospatial distribution of gestational diabetes mellitus (GDM) over time in Australia.

An ecological study was conducted using data from the National Diabetes Services Scheme (GDM cases). Data at Statistical Area Level 2 (SA2) level, a medium-sized spatial unit, on population denominators (women who gave birth) were obtained from the Australian Bureau of Statistics. The spatiotemporal distribution of GDM was explored at the SA2 level over three periods: 2016–2017, 2018–2019 and 2020–2021. Hotspot and cluster analyses were undertaken using Getis-Ord Gi* and local Moran’s I statistics.

A nationwide study in Australia was conducted between 2016 and 2021.

Women diagnosed with GDM and those who gave birth were included.

Age-standardised and crude incidence of GDM per SA2.

During 2016–2021, 1 718 963 eligible women who gave birth in Australia were included. Hotspot areas of GDM were consistently observed in Victoria (Southwest and North Melbourne); Western Australia (South and Southwest Perth); Australian Capital Territory (ACT) (East and North Canberra); Queensland (North Brisbane) and New South Wales (West and Southwest Sydney and Southeast New South Wales). ACT (South Canberra), North Tasmania, Northern Territory (North Darwin) and Victoria (South East Melbourne) had new hotspot regions recorded in the last two consecutive study periods.

GDM incidence varies by geographical area over time, with hotspots in specific regions suggesting the need for geographically targeted policy interventions to curb the growing burden of GDM.

The objective of this study was to understand primary care clinician perspectives on a novel linked health data system to facilitate diabetes prevention for individuals with a history of gestational diabetes mellitus (GDM). We used the conceptual example of linking the National Gestational Diabetes Register with primary care electronic health records to understand clinicians’ views on potential implementation.

A qualitative study of semistructured interviews with primary care clinicians.

Australian primary care.

Primary care clinicians (n=14). Inclusion criteria were: general practitioners (GPs), practice nurses and/or diabetes educators working in primary care in Australia, and seeing individuals with a history of GDM; aged 18 years and over; and willing to voluntarily contribute to the project. There were no exclusion criteria.

Clinicians’ views on acceptability, feasibility and utility were characterised by realistic optimism for a linked data system to improve GP workflow and patient outcomes. Clinicians noted existing pressures on primary care and patient concerns regarding confidentiality and privacy, and that these factors should be considered in the development process. Clinicians envisaged three functions for their clinical management systems: (1) automatically updating a patient’s past history; (2) generating actionable alerts and (3) generating recall lists.

Primary care clinicians were unanimously supportive of a linked health data system to facilitate diabetes prevention. Consistent with previous studies, we identified the key clinician-related enabler as the integration into existing GP workflows to facilitate pro-active clinical care. Point-of-care tools and preventative care consultations could increase the uptake of screening and provide opportunities for patient education post partum.

In combination with effective prevention programmes, and health policy and system supports, linked health data systems could be part of the equation for type 2 diabetes prevention for individuals with a history of GDM. Larger acceptability, feasibility, co-design and implementation studies are recommended.

Women with gestational diabetes mellitus (GDM) are at seven-fold to ten-fold increased risk of type 2 diabetes mellitus (T2DM) when compared with those who experience a normoglycaemic pregnancy, and the cumulative incidence increases with the time of follow-up post birth. This protocol outlines the development and validation of a risk prediction model assessing the 5-year and 10-year risk of T2DM in women with a prior GDM diagnosis.

Data from all birth mothers and registered births in Victoria and South Australia, retrospectively linked to national diabetes data and pathology laboratory data from 2008 to 2021, will be used for model development and validation of GDM to T2DM conversion. Candidate predictors will be selected considering existing literature, clinical significance and statistical association, including age, body mass index, parity, ethnicity, history of recurrent GDM, family history of T2DM and antenatal and postnatal glucose levels. Traditional statistical methods and machine learning algorithms will explore the best-performing and easily applicable prediction models. We will consider bootstrapping or K-fold cross-validation for internal model validation. If computationally difficult due to the expected large sample size, we will consider developing the model using 80% of available data and evaluating using a 20% random subset. We will consider external or temporal validation of the prediction model based on the availability of data. The prediction model’s performance will be assessed by using discrimination (area under the receiver operating characteristic curve, calibration (calibration slope, calibration intercept, calibration-in-the-large and observed-to-expected ratio), model overall fit (Brier score and Cox-Snell R2) and net benefit (decision curve analysis). To examine algorithm equity, the model’s predictive performance across ethnic groups and parity will be analysed. Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis-Artificial Intelligence (TRIPOD+AI) statements will be followed.

Ethics approvals have been received from Deakin University Human Research Ethics Committee (2021–179); Monash Health Human Research Ethics Committee (RES-22-0000-048A); the Australian Institute of Health and Welfare (EO2022/5/1369); the Aboriginal Health Research Ethics Committee of South Australia (SA) (04-23-1056); in addition to a Site-Specific Assessment to cover the involvement of the Preventative Health SA (formerly Wellbeing SA) (2023/SSA00065). Project findings will be disseminated in peer-reviewed journals and at scientific conferences and provided to relevant stakeholders to enable the translation of research findings into population health programmes and health policy.

The COVID-19 pandemic has made long-standing nursing workforce challenges apparent on an international scale. Decision-makers must develop multi-pronged approaches to foster the development and maintenance of a strong nursing workforce to support health systems. These approaches require attendance to recruitment and retention initiatives that show promise for stabilising the nursing workforce now and into the future.

Searches were conducted across MEDLINE, Embase, CINAHL and Scopus from January 2014 up to 11 March 2024. This rapid umbrella review protocol is guided by the Joanna Briggs Institute scoping review methodology and adheres to Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. The research question guiding this review is: what structures have healthcare systems put in place to stabilise, support and sustain the nursing workforce? This review will include existing reviews of nursing workforce initiatives with outcomes that impact nursing recruitment and retention. Results will support local health transformation including the development of a jurisdictional nursing workforce stabilisation strategy. Findings from this review will be relevant for the design, refinement and implementation of nursing workforce sustainability strategies in countries around the globe and may apply to strategies for other healthcare workers.

Institutional research ethics board exemption was received. The research team is supported by an advisory group that includes provider and patient partners. The results from this study will inform the Nursing Workforce Strategy for the province of Nova Scotia as part of a larger Canadian Institutes of Health Research-funded project. They will also inform broader planning and strategy in Canada through integration with other evidence-generation activities such as comparative policy analyses and workforce planning exercises. Finally, the results will be published in a peer-reviewed journal.

Registered through Open Science Framework: https://doi.org/10.17605/OSF.IO/CUJYK

Endovascular aortic aneurysm repair (EVAR) requires long-term surveillance to detect and treat postoperative complications. However, prediction models to optimise follow-up strategies are still lacking. The primary objective of this study is to develop predictive models of post-operative outcomes following elective EVAR using Artificial Intelligence (AI)-driven analysis. The secondary objective is to investigate morphological aortic changes following EVAR.

This international, multicentre, observational study will retrospectively include 500 patients who underwent elective EVAR. Primary outcomes are EVAR postoperative complications including deaths, re-interventions, endoleaks, limb occlusion and stent-graft migration occurring within 1 year and at mid-term follow-up (1 to 3 years). Secondary outcomes are aortic anatomical changes. Morphological changes following EVAR will be analysed and compared based on preoperative and postoperative CT angiography (CTA) images (within 1 to 12 months, and at the last follow-up) using the AI-based software PRAEVAorta 2 (Nurea). Deep learning algorithms will be applied to stratify the risk of postoperative outcomes into low or high-risk categories. The training and testing dataset will be respectively composed of 70% and 30% of the cohort.

The study protocol is designed to ensure that the sponsor and the investigators comply with the principles of the Declaration of Helsinki and the ICH E6 good clinical practice guideline. The study has been approved by the ethics committee of the University Hospital of Patras (Patras, Greece) under the number 492/05.12.2024. The results of the study will be presented at relevant national and international conferences and submitted for publication to peer-review journals.

Elevated left ventricular end-diastolic pressure (LVEDP) in ST-segment elevation myocardial infarction (STEMI) has been studied in patients who received thrombolysis or who were treated early in the primary percutaneous coronary intervention (PCI) era; LVEDP was found to be a predictor of adverse outcomes in these retrospective post hoc analyses. The aim of the current analysis is to assess the prognostic value of the elevated LVEDP in STEMI patients undergoing primary PCI in current contemporary practice.

Prospective, single-centre study.

Our study enrolled STEMI patients with elevated LVEDP undergoing primary PCI at John Hunter Hospital, Newcastle, Australia.

The primary endpoint was the combination of 12-month all-cause mortality and heart failure admissions, comparing different quartiles of LVEDP.

A total of 997 patients underwent primary PCI at our hospital during the 5-year study period (age: 64±13 years, males: 73%; n=728) from 1 January 2015 to 31 December 2019. The median LVEDP for the whole cohort was 27 mm Hg (IQR: 22–31 mm Hg). The median LVEDP was 17 mm Hg (IQR: 13–18 mm Hg) and 33 mm Hg (IQR: 30–36 mm Hg) for 1st and 4th quartiles respectively (p

LVEDP is an independent predictor of adverse outcomes in STEMI patients, despite a relatively normal LVEF. Further prospective studies are needed to assess the effects of early reduction in LVEDP on the prognosis.