Journal of Public Health

BackgroundThe public health grant is used by upper-tier and unitary local authorities in England to fund public health services. Public health grant allocations have declined by 26% per person since 2015/16, with cuts being made without any adjustment based on population needs, resulting in absolute cuts often being greater for more deprived local authorities. This study seeks to investigate how these cuts have affected spending decisions across different areas of public health and how changes in spend relate to population health needs. MethodsIn this longitudinal ecological study, data on local government revenue expenditure and financing to 146 upper-tier local authorities in England were extracted from the Ministry of Housing, Communities, and Local Government for the years 2017/18, 2018/19 2019/20 and 2022/23. Demand for each function of the public health grant was proxied using a publicly available indicator of need. Descriptive analyses explored changes to grant expenditure over time by function and IMD quintile. A compositional regression model was developed to account for the relatedness of spend data. The significance of associations between indicators of need and spend on functions of the grant was tested using MANOVA, producing Pillais Trace statistics as an indication of the effect size of each explanatory variable relative to others. FindingsPublic health grant spending reductions were widespread. More deprived local authorities often experienced deeper absolute cuts against a backdrop of greater need, with spend being protected across all IMD quintiles in only three areas: childrens 0 to 5 non-prescribed functions, health protection, and public mental health. In the multivariate regression, there was limited relationship between indicators of health need and patterns of grant spend between public health categories. InterpretationThere is no clear relationship between potential indicators of need and expenditure of the public health grant in different reporting categories. Instead, spending decisions are being driven by other factors that may include historic spend, wider local priorities and financial pressures. These findings suggest a review of the public health grant formula to support local authority public health teams to more strategically apportion spend based on population health need. O_LIWhat is already known on this topic O_LILocal authority public health teams in England receive a ring-fenced grant from central government which was originally based on an allocation formula that has not been updated since 2012/13. C_LIO_LIThe grant has been cut substantially over the past decade, often with larger absolute cuts for more deprived local authorities. C_LIO_LINo previous study has investigated how public health teams allocate a diminishing grant across competing areas of public health need and how this may vary by deprivation. C_LI C_LIO_LIWhat this study adds O_LIThis study found limited evidence that indicators of health need have driven public health grant allocation in related spend categories, nor any differences by deprivation. Our analysis is the first to explore multiple indicators of need and to employ compositional regression to account for corelations between categories of grant spend. C_LI C_LIO_LIHow this study might affect research, practice and policy O_LIThis study supports a review of the public health grant funding formula to better distribute the public health grant according to local population health need. C_LI C_LI

Background Chinas rapidly ageing population has increased the demand for long-term care insurance (LTCI), while the sustainability of current financing arrangements remains uncertain. Understanding willingness to pay (WTP) for improved LTCI services among LTCI beneficiaries or primary family caregivers may provide empirical evidence for discussions on acceptable and sustainable contribution mechanisms. Methods We conducted a contingent valuation survey among 278 LTCI beneficiaries or primary family caregivers in Panjin City, Liaoning Province, China. An iterative bidding game with randomized starting bids was used to elicit monthly WTP for a predefined LTCI service improvement scenario. Tobit regression models with heteroskedasticity-robust standard errors were used to estimate factors associated with WTP, including household income, disability severity, satisfaction with current services, and demographic characteristics. Results The mean monthly WTP for improved LTCI services was approximately CNY 300, compared with the current average monthly premium of approximately CNY 120. The median WTP was CNY 250. Higher household income was positively associated with WTP. Compared with participants with monthly household income below CNY 5,000, those in the highest income group above CNY 30,000 reported an additional WTP of CNY 178.9. More severe disability was also associated with higher WTP, whereas greater satisfaction with current LTCI services was associated with lower WTP. These associations were generally consistent across alternative model specifications. Conclusions LTCI beneficiaries or primary family caregivers in this Chinese pilot city reported a willingness to contribute more for improved LTCI services, particularly among those with higher income, greater care needs, or lower satisfaction with current services. These findings may inform discussions on differentiated contribution arrangements and service quality improvements in LTCI financing reform. However, the results should be interpreted cautiously because the study was conducted in a single pilot city and relied on stated-preference data.

The end-of-career stage of the police lifecycle represents a profound shift in identity and psychological stability, yet it remains historically neglected in research. This mixed-methods study investigated perspectives of UK police leavers and those approaching retirement (N = 325) regarding desired improvements to organisational support. Content analysis identified four themes: Holistic support and long-term welfare, Institutional culture and professional worth, Navigating the structural transition, and Individual and systemic perspectives. Findings suggest that the psychological contract between the officer and the organisation is often breached at the exit point, shifting from a relational bond to a transactional disposal. Middle-ranking officers and early leavers report the highest levels of institutional abandonment. To address these gaps, this paper makes recommendations for developing effective transitions. By implementing post-service welfare, and adopting structured resettlement models, police organisations can fulfil their duty of care and mend the psychological contract for those who have served.

ObjectiveThe study aimed to understand the perspectives of professionals from multi-agencies working with individuals experiencing homelessness with complex health and social circumstances (PHECHS), specifically focusing on how they define and contextualise the concept of "complex needs". Methodsixteen qualitative interviews with multi-agencies working with people experiencing homelessness were analysed using Heideggers interpretive phenomenological analysis (IPA), theories of socioeconomic determinants and international and national policy analysis were utilised to analyse data collected by MM on the multi-agency approach to individuals experiencing homelessness with complex health and social needs (PHECHS). FindingsThe analysis of a multi-agency approach aimed at supporting PHECHS revealed that complex needs arise gradually during childhood and can continue into adulthood. A range of factors contribute to both homelessness and these complex needs. Deconstructing the social and economic factors that underpin this continuum is essential to effectively addressing these challenges. This study conceptualises the complex needs of PHECHS into two key themes: deconstructing the PHECHS and attritional approach to PHECHS. ConclusionHomelessness is a grave human rights violation, depriving people of essentials like housing, food, health, education, and social participation. Governments have a moral and legal duty to end homelessness. Real progress demands comprehensive, sustained, and rights-based strategies that tackle root causes--poverty, trauma, and social exclusion. Homelessness also stems from gaps in vital life skills: job seeking, financial management, accessing services, and self-care. These barriers make it even harder to secure stable housing. Lasting reductions in homelessness result from a strong legislative framework, national guidelines, and sustained financial investment. Strengths and limitations of this study1. Employing qualitative methods and analysing data through the lens of socioeconomic determinants of health inequalities enabled the development of a model that clarifies the structural causes of homelessness and highlights key opportunities for preventive policy interventions. 2. Examining the data through the lens of socioeconomic health determinants reveals how systemic and structural factors, such as housing policy and service access, drive complex needs beyond individual circumstances. 3. The study was conducted in an affluent, demographically homogenous city, resulting in the underrepresentation of individuals from ethnic minority backgrounds, women, and young people. 4. Future research should investigate the experiences of people experiencing homelessness using an asset-based perspective, leveraging frameworks that emphasise resourcefulness to promote their meaningful engagement and inclusion in society.

Background High Intensity Use of urgent medical services by patients is widely recognised in urgent and emergency care. Studies of high intensity use of the emergency department have consistently shown features of complex systems behaviour in addition to highly heterogeneous individual patient characteristics. There have been no comparable studies of prehospital care use. Methods We examined the use of prehospital urgent and emergency services (NHS 111 and ambulance dispatch) using routinely collected data from regional service in the UK (population 5 million). We used a complex systems perspective, to examine (1) distribution of contacts per individual; (2) the temporal stability of service use by individuals and at the whole-system level (3) the distribution of bursts of contacts. Results We analysed data from 847555 individuals who contacted NHS111 and 389550 who contacted the ambulance dispatch service. 35120 (4.2%) individuals who contacted NHS111 had 5 or more contacts with the service over the two-year period and accounted for 290625 (20.1%) of contacts. 16755 (4.3%) individuals had 5 or more ambulance dispatch contact days and accounted for 169085 (25.8%) of contacts. The distribution of contacts per individual showed a monotonic distribution between 5 and over 100 contacts that was heavy tailed and compatible with a power law distribution. At any level of use, patients with one or more mental health related contacts had a greater likelihood of further contact than those without. Conclusion Prehospital emergency service use shows multiple statistical features typical of a complex system. Interventions to manage demand need to consider both individual high intensity users (particularly in relation to their mental health) and the behaviour of the whole system.

BackgroundWork-related stress (WRS) accounts for 52% of self-reported work-related ill-health. In 2004, the Health and Safety Executive (HSE) developed the Management Standards (MS), aimed at helping organisations reduce WRS. This work investigates WRS post implementation, with reference to six MS risk factor domains: control, support, relationships, demand, change, and role. MethodCases of WRS were extracted from The Health and Occupation Research (THOR) database and mapped to the six domains. Trends in WRS incidence rates attributed to each of the domains were split at 2004 and compared with the overall WRS trend using mixed generalised regression models. ResultsBefore 2004, annual incidence in WRS increased by 1.4%(-0.5%,3.1%), whereas after 2004, there was a decrease of -0.9%(-1.5%,-0.2%), based on 10,815 WRS cases reported between 1996 and 2019. Three of the six MS domains (demands, relationships, and change) were reported in [~]82% of cases. Pre-2004, four of the six domains were observed to be increasing per year. Post 2004, cases increasingly contained multiple precipitating events e.g. demands + another (+2.6% per year) and relationships + another (6.1%). Reports of the two most common domains decreased post 2004 (demands -0.46%, relationships -0.55% per year), whereas incidence in less common domains increased (change 1.1%, support 2.4%, control 4.8%, role 4.7%). ConclusionTrends in WRS, and their common risk factors appear to be decreasing gradually, since introduction of MS in 2004. However, less common risk factors are becoming more prominent, contributing to reporting of WRS with multiple risk factors.

IntroductionThis article summarises lessons learnt from the Health Outcomes for young People throughout Education (HOPE) Study and serves as a real world, transferable application for addressing causal questions using administrative data. The HOPE study applied causal methods to analyses of administrative data in Education and Child Health Insights from Linked Data (ECHILD) aimed at studying the effectiveness of provision for special educational needs and disability (SEND) on health and education outcomes. MethodsDefining causal questions regarding the impact of SEND provision required judicious mapping of the question onto the data, leading to the selection of appropriate measures of effect, transparent handling of the data and control of confounding factors to estimate effects. We adopted the target trial emulation framework to guide these steps. Having encountered specific computational challenges in estimating the effects of interest, we simulated data that resembled the HOPE study and used them to practice the implementation of alternative estimation methods and to study impact of some of their assumptions. ResultsThe creation and analysis of the simulated data provided valuable insights. First, we learned the importance of aligning the target of estimation with the causal question at hand. Second, we observed how deviations from assumptions specific to each estimation method can affect results. Third, we highlighted the benefits of employing alternative estimation methods as sensitivity tools that can aid the interpretation of the resulting estimates. Finally, we offer user-friendly code in two programming languages (R and Stata) and accompanying simulated data to facilitate the implementation of these methods for similar causal questions. ConclusionWe recommend users of administrative data to fully specify -and possibly revise- the causal questions they wish to address and to carefully examine and compare assumptions, implementation and results obtained using alternative estimation methods.

BackgroundThe COVID-19 pandemic was associated with increased child developmental concerns in Scotland. However, it is not known whether this increase was uniform across social groups, and there is particular concern that children from low-income households, urban areas and ethnic minority groups may have been disproportionately affected. This retrospective, population-based, cohort study aimed to examine whether the pandemic was associated with changes in developmental inequalities in Scotland. Study designWe linked national birth records, the COVID-19 in Pregnancy in Scotland (COPS) dataset, and 13-15 month and 27-30 month child health review records, covering all children born in Scotland who undertook reviews between January 2019 and August 2023 and had full developmental data. Logistic regression models estimated inequalities in odds of developmental concerns, before, during and after the pandemic and across Scottish Index of Multiple Deprivation (SIMD) quintiles, parental National Statistics Socioeconomic Classification (NS-SEC), urban-rural classification, child ethnicity and child sex. Interaction analysis formally tested for any significant changes in inequalities. FindingsThe analyses included 254,367 children, covering 13-15 month child health review records for 183,439 children and 27-30 month child health review records for 184,689 children. Children in more deprived SIMD quintiles and lower parental NS-SEC categories had significantly higher odds of developmental concerns, as did African and Asian children (at 27-30 months only). Children who were female and in rural areas (27-30 months only) had significantly lower odds of developmental concerns. Developmental inequalities were broadly consistent at each time point and interaction analysis suggested that there was no widening of inequalities during or after the pandemic. ConclusionsDevelopmental inequalities in Scotland did not widen during or after the COVID-19 pandemic. However, substantial pre-existing inequalities persist, underscoring the need for interventions to reduce disparities and support national policy goals on child development.

Background People with severe mental health conditions (SMHC) and caregivers in South Africa experience high rates of poverty. The PRIZE feasibility trial found that recovery groups were broadly acceptable and feasible and potentially effective in reducing relapse. Addressing economic needs was identified as a means to increase impact. This study aimed to understand experiences of financial insecurity and acceptability of poverty alleviation interventions as an adjunct to psychosocial interventions amongst people with SMHC and caregivers. Methods We conducted two focus group discussions and 12 in-depth interviews in isiXhosa with a total of 14 people with SMHC and 13 caregivers who had participated in PRIZE in Eastern Cape Province, South Africa. An inductive thematic analysis was conducted. Results We identified four major themes. Theme 1: Financial insecurity as a defining influence on life. We found that financial security was crucial to recovery, through bringing status and dignity. However, participants experienced substantial financial insecurity, which impacted on social and mental wellbeing. Financial insecurity was entrenched due to fractured and violent communities, cycles of debt and stigma amongst employers. Theme 2: Government disability grants are not a panacea. Difficulties accessing disability grants included problems attending assessments and rejection of applications. Whilst they were generally welcomed, receipt of disability grants sometimes caused problems such as increased stigma and family disagreements about how the money should be spent. Theme 3: Group savings offer conditional hope if carefully managed. Several caregivers had longstanding experiences of stokvels (community-based credit unions). However, some were fearful of group members absconding with funds. Participants emphasised that trust, safety and fairness are essential for successful group savings. Theme 4: Income-generating activities are desired but need capital and come with safety concerns. Many had ideas and motivation for small businesses but stressed the need for financial capital, skills training and financial literacy support. There were serious concerns that owning a business or gaining wealth could make one a target of crime. Conclusion Poverty alleviation interventions could positively impact on the wellbeing of people with SMHC and caregivers in South Africa as an adjunct to psychosocial interventions and psychiatric care. Approaches could include supporting access to social protection or existing savings groups, and nesting new savings groups or income generation initiatives into psychosocial interventions. Any model would need to incorporate robust mechanisms to ensure the safety of participants. All approaches would be enhanced by parallel social and public health interventions to build social capital and reduce violence in neighbourhoods.

In this article we argue that intersectoral collaboration is ultimately manifested at the neighbourhood level, where professionals from diverse sectors engage in a joint network to improve population health outcomes. To strengthen intersectoral collaboration in neighbourhoods with low SES, it is crucial to include the community voice, representing diverse citizens who must be heard and engaged in decision-making processes. This study aims to contribute to the literature of intersectoral collaboration by exploring how networks emerge and evolve over time. We focus on the development of the roles of citizens in the professional network and diverse sectoral involvement within a local network of the team called The Connectors, in a neighbourhood with low socioeconomic scores (SESs). Methodologically, we use a combination of social network analysis (SNA) and action research. Results show that the network expanded significantly over time, both in terms of the number of actors and the diversity of sectors involved. At both measurement points T1 and T2, the majority of collaborations occurred across sectoral boundaries. By the second measurement, the proportion of intersectoral relationships had increased. This indicates that as the network expanded, new collaborations were not confined to existing sectoral clusters but increasingly bridged different sectors. The dual role that citizens have taken on during the development of the network, serving both as community voice representatives and professionals, can be empowering, offering pathways for personal growth and career advancement. However, it also introduces complexity, as these individuals may experience tensions between personal commitments and professional responsibilities. To enable network development, policies should allow room beyond standard protocols and organizational silos, as well as provide sufficient time for relationships and structures to mature. Although network building is a gradual and complex process, once established, these networks can play a pivotal role in delivering integrated and responsive care.

Background: The two-child benefit cap, implemented in April 2017, restricted Universal Credit and Child Tax Credit to the first two children in households with three or more children. We evaluate the impact of the two-child benefit cap on parental mental, general, and financial health, as well as investigate how this may differ in particular sociodemographic and economic subgroups based on sex, ethnicity and income. Methods: Data was obtained from parents (youngest child aged 5 or under) in the UK Household Longitudinal Survey from 2009 to 2023. Outcomes included parental mental health (psychological distress and life satisfaction), general health (health-related quality of life (HRQoL), self-rated health and health satisfaction), and financial health (current financial situation and financial outlook). We used complementary policy evaluation methods with different strengths and assumptions to triangulate evidence and strengthen inference: interrupted time series (ITS), difference-in-differences (DiD) and controlled time series analysis (CITS). Subgroup analyses were stratified by sex, ethnicity, and income. Findings: Across methods, findings consistently indicate that the policy worsened life satisfaction, self-rated health, health satisfaction, and financial health for parents of 3+ children. Findings were less consistent across methods for psychological distress and HRQoL. For instance, for psychological distress ITS and CITS indicate adverse impacts of the policy; however, one DiD model did not support this conclusion due to greater average worsening in the control group between the pre- and post-periods. Subgroup analyses indicate greater mental health and general health impacts in lower income, male and ethnic minority parents; while financial health was negatively impacted in all subgroups examined. Conclusions: Using repeated cross-sectional panel data and triangulating across causal inference methods, we conclude that the two-child benefit cap in the UK had a measurable adverse impact on most health outcomes examined, with worse outcomes for male, lower income and ethnic minority parents.

BackgroundIndividuals experiencing or at risk of homelessness face substantial barriers to preventive eye care that are poorly addressed by standard service models. Interdisciplinary optometry-social work collaboration offers a rights-based approach to improving engagement and continuity of care. MethodsA convergent mixed-methods study was conducted between February and August 2024 at a multidisciplinary community centre. Clients experiencing or at risk of homelessness received integrated optometry and social work assessment and were prioritised as high, medium, or low based on combined clinical and social risk. Social work follow-up was guided by the Triple Mandate and W-Questions framework. Quantitative data were summarised using mean (SD), median [IQR], or n (%). Qualitative case notes were analysed using content analysis with inductive coding and secondary review for consistency. ResultsA total of 165 clients had priority categories coded (high: 68; medium: 47; low: 154). Demographic data were available for 132 clients (60% male; mean age 49.5 years [SD 16]); 27% had not completed high school, 89% reported weekly income below AUD 1000, and 28% had vision impairment. Two hundred forty-five case-note entries were consolidated into 146 unique records. SMS (46%) and phone calls (38%) were the most documented contact methods, although only 21% of calls were answered; missed calls (13%) and disconnected numbers (7%) were common. Multi-modal contact was more frequently documented for higher-priority clients. Appointment assistance was the most recorded facilitator (71%), while rights-based supports, including interpreter and transport assistance, were infrequently documented ([≤]5%). Qualitative analysis identified unstable communication, reliance on informal supports, and service fragmentation as key influences on recall outcomes. ConclusionThis study supports an interdisciplinary, rights-based optometry-social work model to address barriers to preventive eye care among people experiencing or at risk of homelessness. Embedding structured handovers and tiered recall processes within community-based services may strengthen continuity and accountability for high-priority clients. Future implementation should evaluate outcomes related to equity of reach, service integration, and sustained engagement in care.

Key points1) Women get to spend more healthy years on retirement, but no clear occupational class gradient could be seen. 2) Retiring early to statutory retirement is associated with more healthy years on retirement. 3) Policies aiming to change the retirement age should consider the equitability and effects on the health of the retirees. ObjectivesLonger lifespans lead to longer time on retirement, despite the efforts to raise the retirement age. Therefore, it is important to study how the retirement years can be spent without diseases. This study examined socioeconomic and sociodemographic differences in healthy years spent on retirement. MethodsWe followed a cohort of retired Finnish municipal employees (N=4231, average follow-up 15.4 years) on national administrative registers for major chronic diseases: cancer, coronary heart disease, cerebrovascular disease, diabetes, asthma or chronic obstructive pulmonary disease, dementia, mental disorders, and alcohol-related disorders. Median healthy years on retirement and age at first occurrence of illness (ICD-10 and ATC-based) in each combination of sex, occupational class, and age of retirement were predicted using Royston-Parmar models. Prevalence rates for each diagnostic group were calculated. ResultsMost healthy years on retirement were spent by women having worked in semi-professional jobs who retired at age 60-62 (median predicted healthy years 11.6, 95% CI 10.4-12.7). The least healthy years on retirement were spent by men having worked in routine non-manual jobs who retired after age 62 (median predicted healthy years 6.5, 95% CI 4.4-9.5). Diabetes was slightly more common among lower occupational class women, and dementia among manual working women having retired at age 60-62. DiscussionHealthy years on retirement are not enjoyed equally by women and men and those who retire early or later. Policies aiming to increase the retirement age should consider the effects of these gaps on retirees and the equitability of those effects.

BackgroundAvian Influenza (AI) is a potential pandemic threat, specifically when human-to-human transmission occurs. For outbreak management testing is essential. Current knowledge on testing behaviour is mostly derived from other infectious diseases such as COVID-19. It is necessary to identify determinants of testing behaviour for AI in an early phase. Therefore, this interview study aims to identify a wide range of behavioural determinants of testing during a hypothetical human-to-human transmissible AI outbreak. MethodsSemi-structured in-depth interviews, based on the Theoretical Domains Framework, were carried out between May 2024 and February 2025. Participants were included through purposive and convenience sampling. During the interviews an animation was shown illustrating a hypothetical AI outbreak. Verbatim transcripts were thematically analysed. ResultsWe included seventeen participants (median age 44, range 20-81; 71% women) with diverse backgrounds in terms of age, gender, educational level and country of birth. We found that having the freedom to decide to test would make testing more acceptable, whereas a decreased sense of autonomy would discourage testing. Most themes included individual rather than population-level benefits as drivers of testing behaviour. These included protecting loved ones, ones own health and gaining psychological reassurance. External conditions like being unable to go to work or an event would generally encourage testing behaviour. Lower trust in governmental authorities could hamper testing behaviour. Previous experiences from the COVID-19 pandemic shaped participants answers about AI testing behaviour. ConclusionKey considerations include balancing peoples need for autonomy with the external measures imposed by employers or the government, rebuilding trust in institutions and acknowledging how prior experiences with testing may shape testing behaviour in future AI outbreaks. Further research is needed to determine how these findings can be translated into effective communication and how trust in authorities can be build.

BackgroundMusculoskeletal conditions, such as back pain and osteoarthritis, are common and disabling disorders. Musculoskeletal conditions are closely related to chronic disease risk factors like smoking/vaping, poor nutrition, alcohol misuse and physical inactivity and impact a persons risk of falling (SNAPF). Preventive care for SNAPF risks is often overlooked. Online delivery of preventive care may increase the provision of this care. We aimed to assess if an online tool for SNAPF risks would be used by and acceptable to patients waiting for an orthopaedic consultation. MethodsWe completed a multi-method study to test an online health risk self-assessment tool. A random sample of 300 people on the orthopaedic outpatient waiting list aged 18-64 years were sent the tool in batches of 20-50. The tool assessed SNAPF risks and provided feedback against national guidelines. After each batch, we completed feedback interviews with participants to assess acceptability and updated the tool. We summarised quantitative data using descriptive statistics and qualitative data using thematic analysis. ResultsOf the 300 participants sent the tool, 51.3% were female, 8.6% identified as Aboriginal and/or Torres Strait Islander, with a mean (SD) age of 52.0 years (11.2). There were 170 participants (59.2%) who completed the tool, 117 who did not complete it, and 13 participants who were excluded from analysis because they did not receive the SMS. We conducted 184 feedback interviews, including 125 completers and 59 non-completers. The percentage of participants who felt that SMS was an appropriate way to receive the tool was 84.7% of completers and 50% of non-completers. The two most common reasons for not completing the tool were due to perceived risk (13/59, 22.0%), and the SMS was received at an inconvenient time (11/59, 18.6%). Qualitative data from the feedback interviews captured three enablers: i) design, ii) high importance, and iii) engagement with health service, along with four barriers: i) design, ii) risk, iii) relevance, and iv) engagement with health service. ConclusionOur study found that an online health risk self-assessment tool appears to be an acceptable way to assess chronic disease and falls risk factors for people on an orthopaedic waitlist. Trial registrationNot applicable.

Background Parenting practices shape children's emotional, social, and cognitive developmental wellbeing. Yet, many families face complex challenges that increase the risk of poor outcomes and demand on social care. The Sutton Parenting Offer (SPO) is a universal, peer-led parenting offer that provides early, non-stigmatising support to families with children aged 0-25 years. It combines evidence-based programmes with informal workshops and peer networks delivered through Family Hubs. This present study is an evaluation protocol of the parenting offer. Aim This evaluation aims to explore how, why, and in what contexts SPO supports families in engaging, sustaining positive change, and generating wider system value. Methods A mixed-methods realist evaluation approach will be used to evaluate SPO across four work packages: engagement pathways, early changes and peer-led ecosystems, long-term change, and system value for money. Data sources will include attendance data (anonymised service records), survey data (entry and exit), and qualitative data (dyad interviews, story circles, and stakeholder-value mapping workshops). The COM-B and the Theoretical Domains Framework (TDF) will guide the analysis of behavioural data. Quantitative data will be analysed descriptively and using paired parametric and non-parametric tests, while qualitative data will be analysed thematically following a realist-informed approach to refine context-mechanism-outcome (CMO) configurations. Discussion This protocol presents the first realist informed evaluation of a universal parenting program in a local authority setting. The evaluation will generate evidence on how, when and why a universal, community-based, and peer-led model such as the Sutton Parenting Offer engages families and generates change. The findings will be useful to inform future parenting service design and implementation in local contexts in England.

Background: Whole-population linked administrative data platforms provide an opportunity to generate evidence on early life multidimensional disadvantage to inform resourcing and service provision to families with complex needs. Methods: We used individual-level de-identified data from nine administrative data sources included in the Better Evidence Better Outcomes Linked Data (BEBOLD) platform. The population included all children born in South Australia between 2004-2011 (n=143,083), and their parents. We described the prevalence and distribution of multiple disadvantages affecting children from the 12 months before birth to age 5. Eleven domains of parental disadvantage were created: economic, education, access to services, mental health, substance misuse, smoking during pregnancy, domestic and family violence, health, child protection contact, justice system contact, and death. We investigated the concordance of our measure with an area-level socioeconomic measure used in government reporting. Results: One in two children (48%) were exposed to at least one disadvantage domain, and one in seven (14%) were exposed to three or more domains before age five. Economic disadvantage was most prevalent, affecting one in four (27%) children, of which 75% were exposed to additional forms of disadvantage. Substance misuse, domestic and family violence, and justice system contact were the least likely domains to occur in isolation. Only 54.4% who experienced five or more disadvantage domains were classified in the area-level socioeconomic measure's 'most disadvantaged' quintile. Conclusion: Early life exposure to parental disadvantage can be highly multidimensional. Measurement across different systems is important for informing coordinated service provision for families with complex needs.

Background: Sexual violence is a global human rights issue and a significant public health concern. Prevention of sexual violence requires addressing the structural and social norms that perpetuate it. Schools are promising settings for primary prevention interventions, as early socialisation experiences can shape attitudes and behaviours that enable sexual violence. However, evidence on effective school-based interventions is limited. The objective of this pilot study is to assess the feasibility and preliminary effectiveness of an Australian sexual violence primary prevention program, the Schools Education Program, on student sexual violence knowledge, attitudes and behavioural intentions. Methods/design: A two-arm, parallel pilot cluster randomised controlled trial will be conducted with Year 9 students (aged 13-15) in 12 secondary schools across one Australian state. Ten schools will be randomly allocated to the SEP intervention (n=6) or a waitlist control (n=4); an additional two schools are pre-assigned to the waitlist control group. The SEP comprises three student education modules, parent and staff education, and the recruitment of School Student Champions. The primary outcome is sexual violence knowledge. Secondary outcomes include attitudes, behavioural intentions, and implementation factors. Quantitative data will be collected at baseline, immediately post-intervention, and at 6-month follow-up. Analysis will use linear mixed-effects models to provide preliminary estimates of effect and estimate key parameters for a future definitive trial. The trial is embedded within a concurrent realist evaluation that includes qualitative methods to explore the mechanisms and contextual conditions shaping these outcomes. Discussion: This study is the first pilot trial to evaluate a sexual violence primary prevention intervention in Australian secondary schools. In addition to the trial focused on sexual violence prevention outcomes, its integration with realist evaluation methodology will advance knowledge about how, when, and for whom these outcomes occur. The study findings will inform adaptability and scalability for secondary schools nationally and internationally.

In an era in which population ageing, rising healthcare costs and growing global health challenges are pressing global issues, the main aim of our article is to analyze trends in preventive care expenditures from 2004 to 2023 in 22 European countries, examining whether specific health systems are associated with different time trends in preventive care expenditures over the considered time. Although there are few studies investigating this issue adopting the standard tripartite classification, to our knowledge, this is the first study to explore the topic using the latest classification of healthcare systems proposed by Bohm. We performed a time trend analysis using secondary data from 22 European OECD countries during a twenty-year period (2004-2023); in addition, a hierarchical semi-log polynomial mixed-effects regression analysis has been performed, including annual country-level % preventive expenditures in association with the three structural dimensions -- regulation, financing and provision -- according to Bohms classification as explanatory variables. Our results indicate that, in terms of compound annual rate, most countries exhibited an increase in % of preventive expenditures (between 0.2% and 3.7%), while seven countries denounced a decrease (between -6.3% and -0.2%) during the considered period. The regression analysis shows that the trend of % preventive expenditures did not differ in two of the three dimensions under study: financing and provision. In contrast, in countries with statal regulation, the curvilinear trend was more pronounced than in countries with statal regulation (b=0.0035; 95% CI= 0.0013, 0.0057). In conclusion, there is no correlation between the type of healthcare system and the share of expenditure allocated to prevention activities in the countries analysed; a resulting implication is that investment in prevention is not intrinsically determined by the organisational structure of the healthcare system, but responds to external factors. Key questionsO_ST_ABSWhat is already known on this topic?C_ST_ABSPreventive care represents a relatively small share of total health expenditure in most OECD countries, despite its recognized importance in addressing public health issues. Previous studies attempted to explore cross-country differences in preventive spending and the potential role of healthcare system organization, often using traditional classifications (e.g., Beveridge or Bismarck). However, evidence remains limited and no studies have examined long-term trends using current multidimensional classifications of healthcare systems. What does this study add?By analyzing trends in preventive care expenditures over a twenty-year period across 22 European OECD, our study showed trends in the share of spending on prevention were largely independent of the structural characteristics of healthcare systems. Among the analyzed dimensions, only the regulation showed a more pronounced curvilinear trend in countries with societal regulation. How this study might affect research, practice or policy?Since the findings suggest that investment in prevention may depend more on contextual factors such as political priorities and public health strategies rather than structural characteristics of healthcare systems, policymakers should therefore promote prevention through targeted policy commitment instead of relying on health system design alone.

Introduction: Large-scale free-text data with socio-demographic information can capture nuanced accounts of lived experience that are difficult to detect in structured measures. However, manual qualitative analysis is difficult to scale, while automated approaches may obscure subgroup variation or introduce bias. This is especially relevant for large language models (LLMs), whose use in qualitative health research is increasing despite limited evaluation in socio-demographically stratified analysis. Objectives: This study examined how socio-demographic differences in health and wellbeing experiences were manifested in a large-scale free-text dataset, and evaluated how different AI-assisted analytic approaches identified these differences. Specifically, it aimed to: (1) identify socio-demographic differences using Machine-Assisted Topic Analysis (MATA); (2) compare MATA outputs with topic modelling combined with LLM-based topic interpretation; and (3) examine potential bias in LLM-based analysis. Methods: We analysed 2,177 valid free-text responses from the UK COVID-19 Wellbeing Tracker, a longitudinal survey of adults recruited during the pandemic. Responses described factors influencing health behaviours, mood, and wellbeing over time. Data were preprocessed and stratified by gender, age, and socioeconomic status (SES). MATA combined topic modelling, using Latent Dirichlet Allocation, with humanled qualitative interpretation of topic keywords and representative responses. The same topic model outputs were then interpreted using an LLM for comparison. Potential LLM bias was assessed using a demographic label-swap crossover design, with bias evaluated through Jaccard lexical similarity, VADER sentiment, and NRC emotion analysis. Grounded Review and Assessment of Computational Evidence (GRACE) was used to evaluate the AI outputs. Powered by Editorial Manager(R) and ProduXion Manager(R) from Aries Systems Corporation Results: MATA identified meaningful socio-demographic thematic differences in pandemic-related mood and wellbeing across gender, age, and SES. Common themes included disruption, adaptation, uncertainty, routine, and the influence of work, relationships, and health on wellbeing. Male-stratified topics emphasised routines, habits, and coping with external pressures, whereas female-stratified topics were more relational and reflective, focusing on connection, isolation, family wellbeing, and anxiety. Lower SES narratives included practical strain, financial pressure, and loss of control, while higher SES narratives more often reflected adjustment, autonomy, and meaning-making. Older adults described health, gratitude, and family connection, whereas younger adults emphasised work-related stress and competing demands. LLM-based interpretation broadly reproduced the high-level subgroup patterns identified through MATA, but outputs were more generalised, less conceptually differentiated, and showed greater thematic overlap. Bias analysis showed systematic shifts in vocabulary, sentiment, and emotional tone when demographic labels were swapped, suggesting a risk of representational bias. Conclusions: MATA identified meaningful socio-demographic differences while retaining interpretative depth at scale. LLM-based topic interpretation showed utility for rapid thematic summarisation, but produced less conceptually differentiated outputs and was sensitive to demographic framing. The analysis also identified "LLM speak", where outputs appeared coherent but relied on abstract, generalised, and overlapping interpretations. Human oversight, structured qualitative appraisal, and explicit bias evaluation are necessary when using LLMs to analyse socially stratified free-text health data.