Urgent and emergency care (UEC) systems in England face unprecedented pressures, with record accident and emergency attendances, persistent breaches of ambulance response targets and poorer outcomes for time-sensitive conditions. National UEC recovery plans have introduced multiple innovations—such as same-day emergency care, virtual wards and specialty hubs—to manage these pressures and improve patient flow. Rural coastal areas are particularly vulnerable to excessive demand due to higher levels of deprivation, older populations with complex health needs, seasonal surges that generate unpredictable demand and challenges in attracting and retaining staff. Following the Chief Medical Officer’s 2021 Annual Report, funding research and developing bespoke solutions to manage UEC demand and address geographical disparities has been recognised as a national priority. The Elevate study responds to this priority by identifying and evaluating innovative models of UEC in rural coastal communities in England.

The Elevate study is a 30-month, mixed-methods evaluation that comprises three interlinked work packages: (1) National service mapping—outlining provision of innovative models of UEC in rural coastal areas of England. This will be developed through document review and interviews with regional and national service leaders. (2) Quantitative analysis—quasiexperimental and longitudinal approaches will use National Health Service (NHS) England’s Emergency Care Data Set and linked routine NHS datasets to evaluate the impact of UEC models on health and process outcomes. Standard and bespoke metrics will be developed and used to assess performance. (3) Qualitative case studies—up to 12 case studies of UEC models in rural coastal communities. Interviews with patients and staff and non-participant observation will explore how and why different UEC models influence patient experience, clinical outcomes, resource use and the workforce. Findings will be integrated using the Consolidated Framework for Implementation Research to identify components of UEC models that are effective, scalable and sensitive to local context,

Ethical approval for qualitative components was granted by the North of Scotland Research Ethics Committee (25/NS/0099). Dissemination will include peer-reviewed publications, policy briefs, creative media and community engagement activities to ensure findings are communicated inclusively and effectively to policymakers, health and social care practitioners and the public.

Research Registry (researchregistry11126).

To evaluate the performance of Ghana’s environmental surveillance (ES) system for poliovirus (PV) detection from 2018 to 2022 using standardised indicators developed by the WHO and the US Centers for Disease Control and Prevention.

A retrospective performance evaluation using 10 key indicators benchmarked against global targets for PV surveillance.

Seven regions across Ghana, participating in the national ES programme implemented under the Global Polio Eradication Initiative.

Wastewater sampling was conducted at designated ES sites, supported by field collection teams and laboratory personnel responsible for sample acquisition, processing and reporting of PV detection results.

Detection rates of PV and non-polio enteroviruses (NPEVs), timeliness of sample collection and reporting, data quality and system stability.

A total of 738 wastewater samples were collected. The system demonstrated high sensitivity, detecting circulating vaccine-derived PV type 2 in 51 (6.9%) of samples, Sabin PV types 1 and 3 in 61 (9.5%) and 114 (17.8%), respectively, and NPEVs in 491 (66.5%) of samples. Over 80% of samples met the recommended 21-day collection-to-reporting time frame. Data quality exceeded the ≥80% threshold, and workflows remained stable throughout the evaluation period.

Ghana’s ES system for PV was found to be flexible, stable and effective in generating high-quality data for early detection and public health response. These findings underscore the system’s critical role in supporting polio eradication efforts and highlight its potential as a model for surveillance in similar settings.

There is a global rise in the burden of childhood obesity, increasing the risk of early onset adult obesity. Most developing countries face the double burden of malnutrition; overnutrition as overweight/obesity and undernutrition.

To determine the current burden and determinants of childhood thinness, overweight and obesity using national survey data.

Data from a cross-sectional survey conducted in 2022 were used.

Data from the seventh Demographic Health Survey conducted in Ghana were used.

The participants included 4417 children ≤59 months.

The seventh Ghana Demographic Health Survey in 2022 employed a two-stage stratified cluster sampling design, selecting 618 clusters to create a nationally representative sample. Weight and height were measured using the SECA 874U scale and Shorrboard, respectively. Children’s heights were measured recumbent (24 months). Multivariate logistic regression was used to assess the relationship between thinness and obesity, as well as the independent factors.

The outcome variable was obesity, determined by a WHZ of >+2SD.

The weighted prevalence of overweight/obesity and thinness in children under 5 years is 9.9% and 5.2%, respectively. Children who were overweight or obese had a mean age of 23.11 months, those who were thin or severely thin had a lower mean age of 21.02 months, and those with normal nutritional status were relatively older, with a mean age of 28.41 months. The Upper West, Northeast and Northern regions had the lowest densities of obesity. In the multivariate logistic regression model, children residing in Ashanti, Oti, Northern, North East and Upper East regions had significantly reduced odds of being obese compared with those in the Ahafo region. The average haemoglobin for those overweight/obese was 10.8 g/dL, and 10.7 g/dL for those who were normal and marginally reduced, 10.5 g/dL for those who were thin.

Regional disparities, maternal nutritional status, socioeconomic conditions and unsafe water sources were significant determinants of child nutrition outcomes. These findings call for targeted, multipronged interventions that integrate maternal-child nutrition, safe water, sanitation and regional context.

This study aims to identify the key factors driving excessive alcohol and salt consumption in Ghana, both of which are modifiable risk factors for diseases such as cardiovascular conditions and cancers. Using the socio-ecological model (SEM), we qualitatively examine stakeholder perspectives to gain a comprehensive understanding of the influences contributing to these unhealthy consumption patterns.

A qualitative study was conducted using semi-structured interviews. Transcripts were analysed thematically, with identified drivers mapped onto the corresponding levels of influence within the SEM.

The study included 21 purposively sampled stakeholders from government and academic institutions in Ghana, including policymakers, practitioners and researchers.

Drivers of excessive salt and alcohol consumption were identified across all five levels of the SEM. At the intrapersonal level, disregard for health risks was a key factor. Community-level drivers included easy access to unhealthy foods and cultural norms promoting alcohol use at social events and salt in traditional dishes. At the societal and policy levels, inadequate regulation of the alcohol and food industries was found to reinforce lower-level drivers, further encouraging unhealthy consumption.

This study highlights the multilevel influences on alcohol and salt consumption, emphasising the interactions across SEM levels. It highlights that addressing unhealthy consumption is not solely a matter of personal responsibility, demonstrating that societal and policy factors play a significant role in shaping health and dietary behaviours. The findings underscore the need for comprehensive public health strategies that address influences at multiple levels to effectively reduce excessive alcohol and salt intake.