'A system that is struggling': understanding health protection resilience in England during the COVID-19 pandemic through the experiences of local health protection responders.

BACKGROUND: Local health protection systems play a crucial role in infectious disease prevention and control and were critical to COVID-19 pandemic responses. Despite this vital function, few studies have explored the lived experience of health protection responders managing COVID-19. We provide new insights by examining how COVID-19 shaped infectious disease prevention and control in local health protection systems in England. METHODS: Semi-structured interviews were conducted with twenty local health protection responders from three contrasting local authority areas, and Public Health England (PHE) health protection teams, in England between June 2021 - March 2022. Participants were from: PHE health protection teams (n=6); local authority public health teams (n=5); local authority Public Protection Services (n=7); and local authority commissioned Infection Prevention and Control Teams (n=2). Data were analysed using reflexive thematic analysis. RESULTS: First, participants acknowledged the pandemic caused an unprecedented workload and disruption to local health protection service delivery. There was not enough capacity within existing local health protection systems to manage the increased workload. PHE health protection teams therefore transferred some COVID-19 related health protection tasks to other staff, mainly those employed by local authorities. Second, health protection responders highlighted how COVID-19 drew attention to the weaknesses in local health protection systems already stressed by reduced funding in the years leading up to the pandemic. Injecting money into the COVID-19 response did not completely overcome former losses in specialist health protection workforce. Third, health protection responders described how pandemic management raised the profile of public health, especially infectious disease prevention and control. Managing COVID-19 strengthened collaborative working, resulting in enhanced capacity of local health protection systems at the time. CONCLUSION: The COVID-19 pandemic challenged the public health preparedness of all countries. Health protection responders in this study also expressed many challenges. There was insufficient resilience in these local health protection systems and an inability to scale up the specialist health protection workforce, as required in a pandemic situation. The UK needs to learn from the pandemic experience by acknowledging and addressing the challenges faced by local health protection responders so that it can more effectively respond to future threats.

How are socioeconomic inequalities in preterm birth explained by maternal smoking and maternal body mass index: A mediation analysis.

BACKGROUND: Preterm birth affects between 7% and 8% of births in the UK and is a leading cause of infant mortality and childhood disability. Prevalence of preterm birth has been shown to have significant and consistent socioeconomic inequalities. OBJECTIVE: To estimate how much of the association between socioeconomic status (SES) and gestational age at birth is mediated by maternal smoking status and maternal body mass index (BMI). METHODS: Retrospective cohort study of a maternity hospital in the UK. The analysis included all singleton live births between April 2009 and March 2020 to mothers 18 years old and over, between 22 weeks and 43 weeks gestation. We estimate two measures of mediation for four low gestational age categories: (i) The proportion eliminated the percentage of the effect of SES on low gestational age at birth that would be eliminated by removing the mediators, through the Controlled Direct Effects estimated using serial log-binomial regressions; and (ii) The proportion mediated is the percentage of the effect removed by equalising the distribution of the mediators across socioeconomic groups, estimated using Interventional Disparity Measures calculated through Monte Carlo simulations. RESULTS: Overall, 81,219 births were included, with 63.7% low SES. The risk of extremely (0.3% of all births), very (0.7%) and moderately preterm birth (6.3%) was 1.71 (95% Confidence Interval [CI] 1.29, 2.31), 1.43 (95% CI 1.18, 1.73) and 1.26 (95% CI 1.19, 1.34) times higher in the low SES, compared to higher SES respectively. The proportion of this inequality eliminated by removing both maternal smoking and BMI was 43.4% for moderately preterm births. The proportion mediated for smoking was 33.9%, 43.0% and 48.4% respectively. CONCLUSIONS: Smoking during pregnancy is a key mediator of inequalities in preterm birth, representing an area for local action to reduce social inequalities in preterm birth.

Surviving stomach bugs in UK ethnic groups: a qualitative study.

BACKGROUND: The exposure patterns across ethnic groups are unclear for stomach bugs that cause self-limiting symptoms, significantly burdening UK health-care services and the economy. This study seeks to fill this gap by exploring how inequalities arise in managing stomach bugs in UK ethnic groups. METHODS: A qualitative study using semi-structured interviews was undertaken. Ethics approval was given by the University of Liverpool, and data were collected by IZ over 11 months from July 26, 2022, and May 26, 2023. Purposive sampling was used to recruit a general UK population sample (excluding health-care professionals) who were adults, partners, and parents, from an ethnic minority group, with recent diarrhoea, vomiting, or a stomach bug over the past 6 months. Recruitment was conducted through community gatekeepers using flyers. Participants were interviewed in person or virtually and gave written informed consent. An incentive of an Amazon voucher of £10 was imbursed to participants for their time. Interviews were audio-recorded using a password-protected digital recorder, transcribed verbatim, and analysed using reflexive thematic analysis. FINDINGS: 36 interviews (median age 31·5 years) were conducted with 11 women of Pakistani (n=6), Bangladeshi (n=2), Indian (n=2) and Arab ethnicity (n=1), and 25 men of Black (n=22), Pakistani (n=2), and Indian (n=1) ethnicity. This sample enabled an exploration of within-ethnic group experiences of stomach bugs in participants who self-defined their age, sex, and ethnicity. Themes such as managing food preparation (n=16), travel abroad (n=17), and personal cleanliness (n=3) were consistently reported across transcripts. The findings corroborate existing literature that there are more similarities than divergences in the management of stomach bugs across ethnic groups, such as the burden of care disproportionately affecting women and using over-the-counter medication to manage symptoms. INTERPRETATION: We do not know if the impact of these experiences across ethnic groups is entirely representative of the broader ethnic categories (ie, Asian vs Indian, Pakistani, and Bangladeshi) they belong to or if there are inequalities in their impact on ethnic groups living in different circumstances (ie, UK born vs migrant). FUNDING: National Institute for Health and Care Research (NIHR).

Investigating health and social outcomes of the Big Local community empowerment initiative in England: a mixed method evaluation.

Background: Most research on community empowerment provides evidence on engaging communities for health promotion purposes rather than attempts to create empowering conditions. This study addresses this gap. Intervention: Big Local started in 2010 with £271M from the National Lottery. Ending in 2026, it gives 150 relatively disadvantaged communities in England control over £1M to improve their neighbourhoods. Objective: To investigate health and social outcomes, at the population level and among engaged residents, of the community engagement approach adopted in a place-based empowerment initiative. Study design, data sources and outcome variables: This study reports on the third wave of a longitudinal mixed-methods evaluation. Work package 1 used a difference-in-differences design to investigate the impact of Big Local on population outcomes in all 150 Big Local areas compared to matched comparator areas using secondary data. The primary outcome was anxiety; secondary outcomes included a population mental health measure and crime in the neighbourhood. Work package 2 assessed active engagement in Big Local using cross-sectional data and nested cohort data from a biannual survey of Big Local partnership members. The primary outcome was mental well-being and the secondary outcome was self-rated health. Work package 3 conducted qualitative research in 14 Big Local neighbourhoods and nationally to understand pathways to impact. Work package 4 undertook a cost-benefit analysis using the life satisfaction approach to value the benefits of Big Local, which used the work package 1 estimate of Big Local impact on life satisfaction. Results: At a population level, the impacts on 'reporting high anxiety' (-0.8 percentage points, 95% confidence interval -2.4 to 0.7) and secondary outcomes were not statistically significant, except burglary (-0.054 change in z-score, 95% confidence interval -0.100 to -0.009). There was some effect on reduced anxiety after 2017. Areas progressing fastest had a statistically significant reduction in population mental health measure (-0.053 change in z-score, 95% confidence interval -0.103 to -0.002). Mixed results were found among engaged residents, including a significant increase in mental well-being in Big Local residents in the nested cohort in 2018, but not by 2020; this is likely to be COVID-19. More highly educated residents, and males, were more likely to report a significant improvement in mental well-being. Qualitative accounts of positive impacts on mental well-being are often related to improved social connectivity and physical/material environments. Qualitative data revealed increasing capabilities for residents' collective control. Some negative impacts were reported, with local factors sometimes undermining residents' ability to exercise collective control. Finally, on the most conservative estimate, the cost-benefit calculations generate a net benefit estimate of £64M. Main limitations: COVID-19 impacted fieldwork and interpretation of survey data. There was a short 4-year follow-up (2016/20), no comparators in work package 2 and a lack of power to look at variations across areas. Conclusions: Our findings suggest the need for investment to support community organisations to emerge from and work with communities. Residents should lead the prioritisation of issues and design of solutions but not necessarily lead action; rather, agencies should work as equal partners with communities to deliver change. Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Public Health Research Programme (16/09/13) and will be published in full in Public Health Research; Vol. 11, No. 9. See the NIHR Journals Library website for further project information.

The Communities in Control study is looking at the health impacts of the Big Local community empowerment programme, funded by the National Lottery Community Fund and managed by Local Trust (a national charitable organisation). Residents of 150 English areas have at least £1M and other support to improve the neighbourhoods. There have been three phases of the research. This report shares findings from their third phase, which began in 2018. First, we used data from a national survey and data from national health and welfare services to compare changes in mental health between people living in Big Local areas and those in similar areas that did not have a Big Local partnership. Furthermore, we also used publicly available data on crime in the neighbourhoods. We found weak evidence that Big Local was linked with improved mental health and a reduction in burglaries. Second, we used data from a survey conducted by Local Trust to look at health and social impacts on the most active residents. We found an increase in mental well-being in 2018 but this was not maintained in 2020, probably due to the COVID-19 pandemic. Third, we did interviews and observations in 14 Big Local areas to understand what helps and what does not help residents to improve their neighbourhoods. We found that partnerships need to have legitimacy, the right balance of support, and learning opportunities. Residents suggested that creating social connections and welcoming social spaces, improving how people view the area and tackling poverty contributed to health improvements. Direct involvement in Big Local was both stressful and rewarding. Finally, we did a cost­benefit analysis by putting a monetary value on residents' increase in life satisfaction due to Big Local and comparing it with the costs of Big Local. We found that the benefits exceed the costs by at least £60M, suggesting that Big Local provides good value for money.

Evaluating the impact of using mobile vaccination units to increase COVID-19 vaccination uptake in Cheshire and Merseyside, UK: a synthetic control analysis.

OBJECTIVE: To evaluate the impact of mobile vaccination units on COVID-19 vaccine uptake of the first dose, the percentage of vaccinated people among the total eligible population. We further investigate whether such an effect differed by deprivation, ethnicity and age. DESIGN: Synthetic control analysis. SETTING: The population registered with general practices (GPs) in nine local authority areas in Cheshire and Merseyside in Northwest England, UK. INTERVENTION: Mobile vaccination units that visited 37 sites on 54 occasions between 12 April 2021 and 28 June 2021. We defined intervention neighbourhoods as having their population weighted centroid located within 1 km of mobile vaccination sites (338 006 individuals). A weighted combination of neighbourhoods that had not received the intervention (1 495 582 individuals) was used to construct a synthetic control group. OUTCOME: The weekly number of first-dose vaccines received among people aged 18 years and over as a proportion of the population. RESULTS: The introduction of a mobile vaccination unit into a neighbourhood increased the number of first vaccinations conducted in the neighbourhood by 25% (95% CI 21% to 28%) within 3 weeks after the first visit to a neighbourhood, compared with the synthetic control group. Interaction analyses showed smaller or no effect among older age groups, Asian and black ethnic groups, and the most socioeconomically deprived populations. CONCLUSIONS: Mobile vaccination units are effective interventions for increasing vaccination uptake, at least in the short term. While mobile units can be geographically targeted to reduce inequalities, we found evidence that they may increase inequalities in vaccine uptake within targeted areas, as the intervention was less effective among groups that tended to have lower vaccination uptake. Mobile vaccination units should be used in combination with activities to maximise outreach with black and Asian communities and socioeconomically disadvantaged groups.

Mental health impact of cuts to local government spending on cultural, environmental and planning services in England: a longitudinal ecological study.

BACKGROUND: Over the past decade, there have been significant and unequal cuts to local authority (LA) budgets, across England. Cultural, environmental and planning (CEP) budgets have been cut by 17% between 2011 and 2019. This funding supports services such as parks, leisure centres, community development and libraries, all of which have potential to influence population mental health. We therefore investigated whether cuts to CEP services have affected mental health outcomes and the extent to which they have contributed to mental health inequalities between areas. METHODS: Using fixed effects regression applied to longitudinal LA-level panel data in England, we assessed whether trends in CEP spend were associated with trends in mental health outcomes, between 2011 and 2019. The exposure was CEP spend and the primary outcome was the LA-average Small Area Mental Health Index (SAMHI). Additionally, we considered subcategories of CEP spend as secondary exposures, and antidepressant prescription rate and self-reported anxiety levels as secondary outcomes, both aggregated to LA-level. We adjusted all models for confounders and conducted subgroup analysis to examine differential mental health effects of spending cuts based on the level of area deprivation. RESULTS: The average decrease in CEP spend of 15% over the period was associated with a 0.036 (95% CI: 0.005, 0.067) increase in SAMHI score, indicating worsening mental health. Amongst subcategories of CEP spending, cuts to planning and development services impacted mental health trends the most, with a 15% reduction in spend associated with a 0.018 (95% CI: 0.005, 0.031) increase in the SAMHI score. The association between cuts in CEP and deteriorating mental health was greater in more affluent areas. CONCLUSION: Cuts to spending on cultural, environmental, planning and development services were associated with worsening population mental health in England. Impacts were driven by cuts to planning and development services in particular. Reinvesting in these services may contribute to improved public mental health.

Does cumulative adverse socioeconomic exposure mediate the association of maternal mental ill health at birth and adolescent mental ill health at age 17? An analysis of the Millennium Cohort Study.

BACKGROUND: Adolescent mental health is a public health priority. Maternal mental ill health and adverse socioeconomic exposure (ASE) are known risk factors of adolescent mental ill health. However, little is known about the extent to which cumulative ASE over the life course mediates the maternal-adolescent mental health association, which this study aims to explore. METHODS: We analysed data from more than 5000 children across seven waves of the UK Millennium Cohort Study. Adolescent mental ill health was measured using the Kessler 6 (K6) and Strengths and Difficulties Questionnaire (SDQ) at age 17. The exposure was maternal mental ill health as measured by the Malaise Inventory at the child's birth. Mediators were three measures of cumulative ASE defined by maternal employment, housing tenure and household poverty. Confounders measured at 9 months were also adjusted for, these were: maternal age, maternal ethnicity, household poverty, maternal employment, housing tenure, maternal complications during labour and maternal education. Using causal mediation analysis, we assessed the cumulative impact of ASE on the maternal-adolescent mental ill health relationship between birth and age 17. RESULTS: The study found a crude association between mothers' mental health at the child's birth and mental health of their children at age 17, however, when adjusting for confounders this association was reduced and no longer significant. We did not find an association between cumulative exposure to maternal non-employment or unstable housing over the child's life course and adolescent mental health, however, cumulative poverty was associated with adolescent mental ill health (K6: 1.15 (1.04, 1.26), SDQ: 1.16 (1.05, 1.27)). Including the cumulative ASE measures as mediators reduced the association between maternal and adolescent mental health, but only by a small amount. CONCLUSIONS: We find little evidence of a mediation effect from cumulative ASE measures. Experiencing cumulative poverty between the ages of 3-14 was associated with an increased risk of adolescent mental ill health at age 17, suggesting actions alleviating poverty during childhood may reduce adolescent mental health problems.

The mental health and wellbeing impact of a Community Wealth Building programme in England: a difference-in-differences study.

BACKGROUND: Wide differences in health exist between places in the UK, underscored by economic inequalities. Preston, an economically disadvantaged city in England, implemented a new approach to economic development, known as the Community Wealth Building programme. Public and non-profit organisations modified their procurement policies to support the development of local supply chains, improve employment conditions, and increase socially productive use of wealth and assets. We aimed to investigate the effect of this programme on population mental health and wellbeing. METHODS: Difference-in-differences techniques compared trends in mental health outcomes in Preston, relative to matched control areas before (2011-15) and after (2016-19) the introduction of the programme. Outcomes were antidepressant prescribing, prevalence of depression, and mental health related hospital attendance rates using data provided by National Health Service Digital, the Quality and Outcomes Framework, and the Office for National Statistics. Additional analysis compared local authority measures of life satisfaction, median wages, and employment with synthetic counterfactuals created using Bayesian Structural Time Series. FINDINGS: The introduction of the Community Wealth Building programme was associated with reductions in the prescribing of antidepressants (1·3 average daily quantities per person [95% CI 0·72-1·78) and prevalence of depression (2·4 per 1000 population [0·42-4·46]), relative to the control areas. The local population also experienced a 9% improvement in life satisfaction (95% credible interval 0-19·6%) and 11% increase in median wages (1·8-18·9%), relative to expected trends. Associations with employment and mental health related hospital attendance outcomes did not reach statistical significance. INTERPRETATION: During the period in which the Community Wealth Building programme was introduced, there were fewer mental health problems than would have been expected compared with other similar areas, as life satisfaction and economic measures improved. This approach potentially provides an effective model for economic regeneration potentially leading to substantial health benefits. FUNDING: National Institute for Health Research.

Health inequalities in infectious diseases: a systematic overview of reviews.

OBJECTIVES: The aim of this systematic overview of reviews was to synthesise available evidence on inequalities in infectious disease based on three dimensions of inequalities; inclusion health groups, protected characteristics and socioeconomic inequalities. METHODS: We searched MEDLINE, Embase, Web of Science and OpenGrey databases in November 2021. We included reviews published from the year 2000 which examined inequalities in the incidence, prevalence or consequences of infectious diseases based on the dimensions of interest. Our search focused on tuberculosis, HIV, sexually transmitted infections, hepatitis C, vaccination and antimicrobial resistance. However, we also included eligible reviews of any other infectious diseases. We appraised the quality of reviews using the Assessment of Multiple Systematic Reviews V.2 (AMSTAR2) checklist. We conducted a narrative data synthesis. RESULTS: We included 108 reviews in our synthesis covering all the dimensions of inequalities for most of the infectious disease topics of interest, however the quality and volume of review evidence and consistency of their findings varied. The existing literature reviews provide strong evidence that people in inclusion health groups and lower socioeconomic status are consistently at higher risk of infectious diseases, antimicrobial resistance and incomplete/delayed vaccination. In the protected characteristics dimension, ethnicity, and sexual orientation are important factors contributing to inequalities across the various infectious disease topics included in this overview of reviews. CONCLUSION: We identified many reviews that provide evidence of various types of health inequalities in different infectious diseases, vaccination, and antimicrobial resistance. We also highlight areas where reviews may be lacking. The commonalities in the associations and their directions suggest it might be worth targeting interventions for some high risk-groups that may have benefits across multiple infectious disease outcomes rather than operating purely in infectious disease siloes.

Impact of cuts to local authority spending on cultural, environmental and planning services on inequalities in childhood obesity in England: A longitudinal ecological study.

BACKGROUND: Almost 20% of children in England are living with obesity by the end of primary school, with marked and growing inequalities driven by increasing prevalence in more deprived areas. Neighbourhood environments are upstream determinants of childhood weight status. Cultural, Environmental and Planning (CEP) services delivered by local authorities (LAs) in England include various services that contribute to these local environments, e.g. leisure centres, parks, playgrounds, libraries, community safety and environmental protection. Children in deprived areas potentially benefit most from the provision of these universal services. Spending on CEP services has been cut dramatically over the past decade, especially in more deprived areas. Given the potential link between these services and childhood obesity, we examined whether recent cuts in LA spending on CEP services are associated with trends and inequalities in obesity. METHODS: We compiled annual data (2009-2017) on CEP spending in 324 LAs in England, from Ministry of Housing, Communities and Local Government reports. Obesity prevalence data for Year 6 children were obtained from the National Child Measurement Programme, for LAs and Middle-layer Super Output Areas (MSOAs). Following descriptive and pooled OLS analyses, we used fixed effects panel regression to estimate associations between CEP spending and obesity prevalence, within LAs over time, adjusting for potential confounding by local economic conditions and spending on other public services. Final models included an interaction term between area deprivation (2015 IMD) and year to account for differential background trends in obesity across deprivation levels. We tested for effect modification by deprivation and, using MSOA-level obesity data, explored associations between spending and within-LA obesity inequalities. RESULTS: In unadjusted pooled OLS analyses, areas with higher CEP spending had higher prevalence of obesity, reflecting the strong social gradient in childhood obesity and the higher levels of central government funding allocated to more deprived areas. Deprivation, other spend, and local economic conditions explained this relationship. In the fixed effects analysis, designed to isolate average within-area change in obesity associated with changing spend, we observed a 0.10 percentage point increase in obesity prevalence for each 10% reduction in spend (95%CI: 0.04,0.15; p < 0.001), but this disappeared after accounting for differential background trends in obesity across deprivation levels (-0.02; 95%CI: 0.07,0.03; p = 0.39). Similar results were observed for obesity inequalities, although sensitivity analyses suggest spending on Environmental Services in particular may affect inequalities in urban local authorities. CONCLUSIONS: CEP spending levels may influence local childhood obesity risk, but the increasing prevalence and widening inequalities in obesity of the past decade seem to have been driven mainly by factors other than CEP spending cuts, that are also unevenly distributed across deprivation levels. The influence of specific services might be obscured by grouping CEP services for analysis.

Inequalities in local government spending on cultural, environmental and planning services: a time-trend analysis in England, Scotland, and Wales.

BACKGROUND: Local government provides Cultural, Environmental, and Planning (CEP) services, such as parks, libraries, and waste collection, that are vital for promoting health and wellbeing. There have been significant changes to the funding of these services over the past decade, most notably due to the UK government's austerity programme. These changes have not affected all places equally. To understand potential impacts on health inequalities, we investigated geographical patterning of recent CEP spending trends. METHODS: We conducted a time trend analysis using routinely available data on local government expenditure. We used generalised estimating equations to determine how expenditure trends varied across 378 local authorities (LAs) in Great Britain between 2009/10 and 2018/19 on the basis of country, deprivation, rurality, and local government structure. We investigated the gross expenditure per capita on CEP services, and the CEP expenditure as a proportion of total local authority budgets. We present the estimated annual percentage change in these spend measures. RESULTS: Expenditure per capita for CEP services reduced by 36% between 2009/10 and 2018/19. In England, the reduction in per capita spending was steepest in the most deprived quintile of areas, falling by 7.5% [95% CI: 6.0, 8.9] per year, compared to 4.5% [95% CI: 3.3, 5.6] per year in the least deprived quintile. Budget cuts in Scotland and Wales have been more equitable, with similar trends in the most and least deprived areas. Welsh LAs have reduced the proportion of total LA budget spent on CEP services the most (-4.0% per year, 95% CI: -5.0 to -2.9), followed by Scotland (-3.0% per year, 95% CI: -4.2 to -1.7) then England (-1.4% per year, 95% CI: -2.2 to -0.6). In England, rural and unitary LAs reduced their share of spending allocated to CEP more than urban and two-tier structured LAs, respectively. CONCLUSION: Funding for cultural, environmental and planning services provided by local government in the UK has been cut dramatically over the last decade, with clear geographical inequalities. Local areas worst affected have been those with a higher baseline level of deprivation, those with a single-tier local government structure, and English rural local authorities. The inequalities in cuts to these services risk widening geographical inequalities in health and wellbeing.

Impact of community asymptomatic rapid antigen testing on covid-19 related hospital admissions: synthetic control study.

OBJECTIVE: To analyse the impact of voluntary rapid testing for SARS-CoV-2 antigen in Liverpool city on covid-19 related hospital admissions. DESIGN: Synthetic control analysis comparing hospital admissions for small areas in the intervention population with a group of control areas weighted to be similar for past covid-19 related hospital admission rates and sociodemographic factors. SETTING: Liverpool city, UK, 6 November 2020 to 2 January 2021, under the intervention of Covid-SMART (systematic meaningful asymptomatic repeated testing) voluntary, open access supervised self-testing with lateral flow devices, compared with control areas selected from the rest of England. POPULATION: General population of Liverpool (n=498 042) and a synthetic control population from the rest of England. MAIN OUTCOME MEASURE: Weekly covid-19 related hospital admissions for neighbourhoods in England. RESULTS: The introduction of community testing was associated with a 43% (95% confidence interval 29% to 57%) reduction (146 (96 to 192) in total) in covid-19 related hospital admissions in Liverpool compared with the synthetic control population (non-adjacent set of neighbourhoods with aggregate trends in covid-19 hospital admissions similar to Liverpool) for the initial period of intensive testing with military assistance in national lockdown from 6 November to 3 December 2020. A 25% (11% to 35%) reduction (239 (104 to 333) in total) was estimated across the overall intervention period (6 November 2020 to 2 January 2021), involving fewer testing centres, before England's national roll-out of community testing, after adjusting for regional differences in tiers of covid-19 restrictions from 3 December 2020 to 2 January 2021. CONCLUSIONS: The city-wide pilot of community based asymptomatic testing for SARS-CoV-2 was associated with substantially reduced covid-19 related hospital admissions. Large scale asymptomatic rapid testing for SARS-CoV-2 could help reduce transmission and prevent hospital admissions.

Mediators of socioeconomic inequalities in preterm birth: a systematic review.

BACKGROUND: Rates of preterm birth are substantial with significant inequalities. Understanding the role of risk factors on the pathway from maternal socioeconomic status (SES) to preterm birth can help inform interventions and policy. This study therefore aimed to identify mediators of the relationship between maternal SES and preterm birth, assess the strength of evidence, and evaluate the quality of methods used to assess mediation. METHODS: Using Scopus, Medline OVID, "Medline In Process & Other Non-Indexed Citation", PsycINFO, and Social Science Citation Index (via Web of Science), search terms combined variations on mediation, socioeconomic status, and preterm birth. Citation and advanced Google searches supplemented this. Inclusion criteria guided screening and selection of observational studies Jan-2000 to July-2020. The metric extracted was the proportion of socioeconomic inequality in preterm birth explained by each mediator (e.g. 'proportion eliminated'). Included studies were narratively synthesised. RESULTS: Of 22 studies included, over one-half used cohort design. Most studies had potential measurement bias for mediators, and only two studies fully adjusted for key confounders. Eighteen studies found significant socioeconomic inequalities in preterm birth. Studies assessed six groups of potential mediators: maternal smoking; maternal mental health; maternal physical health (including body mass index (BMI)); maternal lifestyle (including alcohol consumption); healthcare; and working and environmental conditions. There was high confidence of smoking during pregnancy (most frequently examined mediator) and maternal physical health mediating inequalities in preterm birth. Significant residual inequalities frequently remained. Difference-of-coefficients between models was the most common mediation analysis approach, only six studies assessed exposure-mediator interaction, and only two considered causal assumptions. CONCLUSIONS: The substantial socioeconomic inequalities in preterm birth are only partly explained by six groups of mediators that have been studied, particularly maternal smoking in pregnancy. There is, however, a large residual direct effect of SES evident in most studies. Despite the mediation analysis approaches used limiting our ability to make causal inference, these findings highlight potential ways of intervening to reduce such inequalities. A focus on modifiable socioeconomic determinants, such as reducing poverty and educational inequality, is probably necessary to address inequalities in preterm birth, alongside action on mediating pathways.

Child poverty and children entering care in England, 2015-20: a longitudinal ecological study at the local area level.

BACKGROUND: Children in care face adverse health outcomes throughout their life course compared with their peers. In England, over the past decade, the stark rise in the number of cared-for children has coincided with rising child poverty, a key risk factor for children entering care. We aimed to assess the contribution of recent trends in child poverty to trends in care entry. METHODS: In this longitudinal, ecological study of 147 local authorities in England, we linked data from the Department for Work and Pensions and HM Revenue & Customs on the proportion of children younger than 16 years living in families with income less than 60% of the contemporary national median income, before housing costs, with Department for Education data on rates of children younger than 16 years entering care. Using within-between regression models, and controlling for employment trends, we estimated the association of changing child poverty rates with changing care entry rates within different areas. Our primary outcome was the annual rate of children younger than 16 years starting to be looked after by local authorities in England. FINDINGS: Between 2015 and 2020, controlling for employment rates, a 1 percentage point increase in child poverty was associated with an additional five children entering care per 100 000 children (95% CI 2-8). We estimate that, over the study period, 8·1% of the total number of children under the age of 16 entering care (5·0-11·3) were linked to rising child poverty, equivalent to 10 351 (6447-14 567) additional children. INTERPRETATION: We report evidence that rising child poverty rates might be contributing to an increase in children entering care. Children's exposure to poverty creates and compounds adversity, driving poor health and social outcomes in later life. National anti-poverty policies are key to tackling adverse trends in children's care entry in England. FUNDING: National Institute for Health Research (NIHR) School for Public Health Research, NIHR Public Health Policy Research Unit, Swedish Research Council, Wellcome Trust, Medical Research Council, and NIHR Applied Research Collaboration North West Coast.

Socioeconomic and health factors related to polypharmacy and medication management: analysis of a Household Health Survey in North West Coast England.

OBJECTIVES: To examine the socioeconomic and demographic drivers associated with polypharmacy (5-9 medicines), extreme polypharmacy (9-20 medicines) and increased medication count. DESIGN, SETTING AND PARTICIPANTS: A total of 5509 participants, from two waves of the English North West Coast, Household Health Survey were analysed OUTCOME MEASURES: Logistic regression modelling was used to find associations with polypharmacy and extreme polypharmacy. A negative binomial regression identified associations with increased medication count. Descriptive statistics explored associations with medication management. RESULTS: Age and number of health conditions account for the greatest odds of polypharmacy. ORs (95% CI) were greatest for those aged 65+ (3.87, 2.45 to 6.13) and for those with ≥5 health conditions (10.87, 5.94 to 19.88). Smaller odds were seen, for example, in those prescribed cardiovascular medications (3.08, 2.36 to 4.03), or reporting >3 emergency attendances (1.97, 1.23 to 3.17). Extreme polypharmacy was associated with living in a deprived neighbourhood (1.54, 1.06 to 2.26). The greatest risk of increased medication count was associated with age, number of health conditions and use of primary care services. Relative risks (95% CI) were greatest for those aged 65+ (2.51, 2.23 to 2.82), those with ≥5 conditions (10.26, 8.86 to 11.88) or those reporting >18 primary care visits (2.53, 2.18 to 2.93). Smaller risks were seen in, for example, respondents with higher levels of income deprivation (1.35, 1.03 to 1.77). Polypharmic respondents were more likely to report medication management difficulties associated with taking more than one medicine at a time (p<0.001). Furthermore, individuals reporting a mental health condition, were significantly more likely to consistently report difficulties managing their medication (p<0.001). CONCLUSION: Age and number of health conditions are most associated with polypharmacy. Thus, delaying or preventing the onset of long-term conditions may help to reduce polypharmacy. Interventions to reduce income inequalities and health inequalities generally could support a reduction in polypharmacy, however, more research is needed in this area. Furthermore, increased prevention and support, particularly with medication management, for those with mental health conditions may reduce adverse medication effects.

Evaluating the impacts of tiered restrictions introduced in England, during October and December 2020 on COVID-19 cases: a synthetic control study.

OBJECTIVES: To analyse the impact on SARS-CoV-2 transmission of tier 3 restrictions introduced in October and December 2020 in England, compared with tier 2 restrictions. We further investigate whether these effects varied between small areas by deprivation. DESIGN: Synthetic control analysis. SETTING: We identified areas introducing tier 3 restrictions in October and December, constructed a synthetic control group of places under tier 2 restrictions and compared changes in weekly infections over a 4-week period. Using interaction analysis, we estimated whether this effect varied by deprivation and the prevalence of a new variant (B.1.1.7). INTERVENTIONS: In both October and December, no indoor between-household mixing was permitted in either tier 2 or 3. In October, no between-household mixing was permitted in private gardens and pubs and restaurants remained open only if they served a 'substantial meal' in tier 3, while in tier 2 meeting with up to six people in private gardens were allowed and all pubs and restaurants remained open. In December, in tier 3, pubs and restaurants were closed, while in tier 2, only those serving food remained open. The differences in restrictions between tier 2 and 3 on meeting outside remained the same as in October. MAIN OUTCOME MEASURE: Weekly reported cases adjusted for changing case detection rates for neighbourhoods in England. RESULTS: Introducing tier 3 restrictions in October and December was associated with a 14% (95% CI 10% to 19%) and 20% (95% CI 13% to 29%) reduction in infections, respectively, compared with the rates expected with tier 2 restrictions only. The effects were similar across levels of deprivation and by the prevalence of the new variant. CONCLUSIONS: Compared with tier 2 restrictions, additional restrictions in tier 3 areas in England had a moderate effect on transmission, which did not appear to increase socioeconomic inequalities in COVID-19 cases.