Deaths covering Smoking only to 2019.

The Office for Health Improvement and Disparities (OHID) has published the Public Health Outcomes Framework (PHOF) quarterly data update for May 2022.

The data is presented in an interactive tool that allows users to view it in a user-friendly format. The data tool also provides links to further supporting information, to aid understanding of public health in a local population.

18 indicators have been updated in this release:

• healthy life expectancy and disability-free life expectancy at birth and at 65
• 7 indicators from the health improvement domain including conception rates in teenagers, percentage of looked after children whose emotional wellbeing is a cause for concern, and percentage of physically active adults
• 4 indicators from the health protection domain including the fraction of mortality attributable to particulate air pollution (new method), population vaccination coverage for human papillomavirus (HPV) vaccination coverage for two doses (females 13 to 14 years old) and population vaccination coverage - Meningococcal ACWY conjugate vaccine (MenACWY) (14 to 15 years)
• 5 indicators from the healthcare and premature mortality domain including emergency readmissions within 30 days of discharge from hospital and preventable sight loss

See links to indicators updated document for full details of what’s in this update.

View previous Public Health Outcomes Framework data tool updates.

The Local Alcohol Profiles for England 2014 provide a national indicator set intended to inform and support local, sub-national and national alcohol policies. These indicators provided measures to help prioritise and target local areas of concern. In addition, they provided a baseline for monitoring progress in reducing alcohol-related harm at local, sub-national and national level. The profiles contain 26 alcohol-related indicators for every local authority, and the majority are also available for all Public Health England (PHE) centres in England; the data download also provides data for government office regions.

• Months Life Lost
• Alcohol Specific Mortality
• Chronic Liver Disease
• Alcohol Related Mortality
• <18 Alcohol Specific hospital admissions
• Alcohol Specific hospital admissions
• Alcohol Related hospital admissions
• Alcohol Episodes hospital admissions
• Alcohol Related Crime
• Alcohol Related Violent Crime
• Alcohol Related Sexual Crime
• Abstainers
• Lower Risk drinking
• Increasing Risk drinking
• Higher Risk drinking
• Binge Drinking
• Employees in bars

Source agency: Public Health England Designation: Official Statistics not designated as National Statistics Language: English Alternative title: LAPE

A 2024 survey found that over half of individuals in Great Britain indicated that access to treatment and long waiting times were the biggest problem facing the national healthcare system. Access to treatment and/or long waiting times were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in Great Britain in 2024.

This statistic displays the annual public healthcare spending in the United Kingdom from 2000 to 2023. The total public healthcare spending increased over the period concerned to approximately 3,409 British pounds per capita in 2022, the highest in the provided time interval, before slightly falling to 3,392 British pounds in 2023.

This report presents findings from the third (wave 3) in a series of follow up reports to the 2017 Mental Health of Children and Young People (MHCYP) survey, conducted in 2022. The sample includes 2,866 of the children and young people who took part in the MHCYP 2017 survey. The mental health of children and young people aged 7 to 24 years living in England in 2022 is examined, as well as their household circumstances, and their experiences of education, employment and services and of life in their families and communities. Comparisons are made with 2017, 2020 (wave 1) and 2021 (wave 2), where possible, to monitor changes over time.

The prevalence of alcohol consumption above certain specified levels (“sensible” limits) based on people’s estimates of amounts drank on a “usual” occasion recorded in terms of five different types of drink and then converted into units of alcohol: The prevalence of alcohol consumption based on results from the Health Survey for England including: Proportion of men drinking more than 4 units and women drinking more than 3 units of alcohol in heaviest drinking day last week; Proportion of men drinking more than 8 units and women drinking more than 6 units of alcohol in heaviest drinking day last week. To help reduce the prevalence of excessive alcohol consumption and the health risks associated with single episodes of intoxication.The damage caused by alcohol misuse to individuals and society has become an increasing focus of public concern in recent years. Drinking alcohol has been linked to increased risks of hypertension, stroke, coronary heart disease, liver cirrhosis and some cancers. Legacy unique identifier: P00859

Sexually transmitted infections (STIs) continue to be a major public health concern in the United Kingdom (UK). Epidemiological models have shown that narrowing the time between STI diagnosis and treatment may reduce the population burden of infection, and rapid, accurate point-of-care tests (POCTs) have potential for increasing correct treatment and mitigating the spread of antimicrobial resistance (AMR). We developed the Precise social science programme to incorporate clinician and patient opinions on potential designs and implementation of new POCTs for multiple STIs and AMR detection. We conducted qualitative research, consisting of informal interviews with clinicians and semi-structured in-depth interviews with patients, in six sexual health clinics in the UK. Interviews with clinicians focused on how the new POCTs would likely be implemented into clinical care; these new clinical pathways were then posed to patients in in-depth interviews. Patient interviews showed acceptability of POCTs, however, willingness to wait in clinic for test results depended on the context of patients’ sexual healthcare seeking. Patients reporting frequent healthcare visits often based their expectations and opinions of services and POCTs on previous visits. Patients’ suggestions for implementation of POCTs included provision of information on service changes and targeting tests to patients concerned they are infected. Our data suggests that patients may accept new POCT pathways if they are given information on these changes prior to attending services and to consider implementing POCTs among patients who are anxious about their infection status and/or who are experiencing symptoms.

The economy was seen by 51 percent of people in the UK as one of the top three issues facing the country in March 2025. The ongoing cost of living crisis afflicting the UK, driven by high inflation, is still one of the main concerns of Britons. Health has generally been the second most important issue since early 2022, possibly due to NHS staffing problems, and increasing demand for health services, which have plunged the National Health Service into a deep crisis. From late 2022 onwards, immigration emerged as the third main concern for British people, just ahead of the environment for much of 2023 and as of the most recent month, the second most important issue for voters. Labour's popularity continues to sink in 2025 Despite winning the 2024 general election with a strong majority, the new Labour government has had its share of struggles since coming to power. Shortly after taking office, the approval rating for Labour stood at -2 percent, but this fell throughout the second half of 2024, and by January 2025 had sunk to a new low of -47 percent. Although this was still higher than the previous government's last approval rating of -56 percent, it is nevertheless a severe review from the electorate. Among several decisions from the government, arguably the least popular was the government withdrawing winter fuel payments. This state benefit, previously paid to all pensioners, is now only paid to those on low incomes, with millions of pensioners not receiving this payment in winter 2024. Sunak's pledges fail to prevent defeat in 2024 With an election on the horizon, and the Labour Party consistently ahead in the polls, addressing voter concerns directly was one of the best chances the Conservatives had of staying in power in 2023. At the start of that year, Rishi Sunak attempted to do this by setting out his five pledges for the next twelve months; halve inflation, grow the economy, reduce national debt, cut NHS waiting times, and stop small boats. A year later, Sunak had at best only partial success in these aims. Although the inflation rate fell, economic growth was weak and even declined in the last two quarters of 2023, although it did return to growth in early 2024. National debt was only expected to fall in the mid to late 2020s, while the trend of increasing NHS waiting times did not reverse. Small boat crossings were down from 2022, but still higher than in 2021 or 2020. .

As of April 2020, it was found that the greatest worry among the British public during the coronavirus pandemic was a loved one getting badly ill and requiring hospital treatment at 59 percent. The respondents were slightly less concerned about their own health with 49 percent saying they were worried about becoming ill from the virus and needing to be hospitalized, while 36 percent said they were most worried about a general economic downturn.

The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/975541/Surge_testing_summary_2021-03-26.ods">https://www.gov.uk/assets/whitehall/pub-cover-spreadsheet-471052e0d03e940bbc62528a05ac204a884b553e4943e63c8bffa6b8baef8967.png">

Surge testing summary 1 April 2021

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Work is underway in NHS Test and Trace to digitally label samples associated with surge testing, through an end-to-end process from sample to sequence. In the interim, this preliminary analysis uses a pragmatic proxy of samples identified through local surge testing initiatives as:

• specimens taken at a mobile test unit (MTU), regional test site (RTS) or local test site (LTS) that has been designated by NHS Test and Trace as related to surge testing, during the period surge testing was in operation PLUS

• specimens from a home test kit delivered to a postcode within a designated surge test area, during the period surge testing was in operation

Tests undertaken as part of surge testing but from persons resident in other postcodes or processed through a test site not designated as surge testing using the definition above, will not be included in this proxy.

Indicators are presented by ‘locality’ of area targeted for surge testing and the test sites linked to it (including MTU deployment). Locality names are the operational names assigned by Test and Trace and do not necessarily relate to strict geographical boundaries. Specimens from individuals who do not reside in the locality – but who have been tested at a site associated with the locality for surge testing – may be included.

All variant of concern or variant under investigation samples identified through surge testing are verified through established PHE dataflows and matched to the earliest positive specimen of a case in the daily line list of cases. Therefore, this report does not include sequencing for any cases with a positive specimen taken prior to surge testing. Data from the last 7 days has been excluded to allow time for sequencing data to be reported.

Lateral Flow Device (LFD) testing and cases first identified using LFD are included. Cases first identified using LFD may have a later PCR sample which has been sequenced. LFD contribution to case rate is assumed to be similar in surge and non-surge areas and therefore should not impact comparative sequencing estimates.<

The HSCIC will be changing future publication dates for the four compendia reports which cover smoking, alcohol, drugs and obesity. The new dates for these reports will be approximately: Smoking - will move from end August to end May. Alcohol - will move from end May to end June. Drugs - will move from end November to end March. Obesity - will stay at end Feb (but 3rd March for 2015). One advantage of this change is that the Hospital Admissions data used in the Drugs compendia will now be able to use final data instead of provisional. A consequence is there will be no drugs compendia in 2015 with the next report being in March 2016. However, all the other data used in the report will be available from the sources where it is initially published. If you have any concerns over these changes then please send an email by 27 February 2015 to enquiries@hscic.gov.uk setting out your concerns. This statistical report presents a range of information on obesity, physical activity and diet, drawn together from a variety of sources. The topics covered include: - Overweight and obesity prevalence among adults and children - Physical activity levels among adults and children - Trends in purchases and consumption of food and drink and energy intake - Health outcomes of being overweight or obese. This report contains seven chapters which consist of the following: - Chapter 1: Introduction; this summarises government policies, targets and outcome indicators in this area, as well as providing sources of further information and links to relevant documents. - Chapters 2 to 6 cover obesity, physical activity and diet and provides an overview of the key findings from these sources, whilst maintaining useful links to each section of these reports. - Chapter 7: Health Outcomes; presents a range of information about the health outcomes of being obese or overweight which includes information on health risks, hospital admissions and prescription drugs used for treatment of obesity. - Figures presented in this report have been obtained from a number of sources and presented in a user-friendly format. Some of the data contained in the chapter have been published previously by the Health and Social Care Information Centre (HSCIC). Previously unpublished figures on obesity-related Finished Hospital Episodes and Finished Consultant Episodes for 2012-13 are presented using data from the HSCIC's Hospital Episode Statistics as well as data from the Prescribing Unit at the HSCIC on prescription items dispensed for treatment of obesity.

The aim of this publication is to provide information about the key differences in healthcare between people with a learning disability and those without. It contains aggregated data on key health issues for people who are recorded by their GP as having a learning disability, and comparative data about a control group who are not recorded by their GP as having a learning disability. Six new indicators were introduced in the 2022-23 reporting year for patients with and without a recorded learning disability. These relate to: • Patients with an eating disorder • Patients with both an eating disorder and autism diagnosis • Patients with a diagnosis of autism who are currently treated with antidepressants More information on these changes can be found in the Data Quality section of this publication. Data has been collected from participating practices using EMIS and Cegedim Healthcare Systems GP systems.

This report presents information on obesity, physical activity and diet drawn together from a variety of sources for England. More information can be found in the source publications which contain a wider range of data and analysis. Each section provides an overview of key findings, as well as providing links to relevant documents and sources. Some of the data have been published previously by NHS Digital. A data visualisation tool (link provided within the key facts) allows users to select obesity related hospital admissions data for any Local Authority (as contained in the data tables), along with time series data from 2013/14. Regional and national comparisons are also provided. The report includes information on: Obesity related hospital admissions, including obesity related bariatric surgery. Obesity prevalence. Physical activity levels. Walking and cycling rates. Prescriptions items for the treatment of obesity. Perception of weight and weight management. Food and drink purchases and expenditure. Fruit and vegetable consumption. Key facts cover the latest year of data available: Hospital admissions: 2018/19 Adult obesity: 2018 Childhood obesity: 2018/19 Adult physical activity: 12 months to November 2019 Children and young people's physical activity: 2018/19 academic year

As of October 2022, 60 percent of the public surveyed in Great Britain stated that they were most concerned about the lack of resources/investment, among all problems facing the NHS. Furthermore, 55 percent of respondents stated that they were most concerned about NHS not having enough staff such as doctors or nurses. This statistic reveals the percentage of individuals in Great Britain who said they were most concerned about the selected issues facing the NHS in October 2022.

19 interview transcripts (verbatim) from UK education staff in various regions, settings and roles (leadership, teachers and teaching assistants) including those working from home or in school during the early lockdown period.

The interview schedule aimed to address the following research questions: 1) What changes have school staff experienced as a result of the COVID-19 pandemic in their own lives, in the school climate or their professional role? 2) What has the impact of these changes been on school staff mental health and wellbeing? 3) What factors do school staff perceive to have sustained or improved wellbeing during the pandemic?

Therefore data consists of participant responses to these questions.

Original Project details (please read on for Covid-19 related adjustments): The integration of health and education policy and practice, with a specific focus on the role of schools in mental health education and preventative intervention, is of major topical concern. There is strong support in the existing literature on the importance of taking a whole systems approach to supporting young peoples' mental health through schools. However, there is a need to further understand the complexity of this process, including the potential impact on school climate, as well as staff and pupil outcomes.

In 2015, I began my PhD research study in order to investigate this research gap, focusing on an example of whole-system (WS) mental health intervention across a county in the North of England. The initiative was commissioned by Public Health England and developed in partnership between local authority services and schools. Eighteen schools participated in the resulting locally facilitated WS implementation, which was based on the Academic Resilience Approach (ARA, Hart; Williams, 2018), developed by Professor Angie Hart and other colleagues at the UoB and partner organisations. The ARA aims to improve outcomes for the most vulnerable pupils by building resilience across the school community, taking a whole systems perspective.

A fully integrated and embedded mixed method design was utilised. This enabled me to research the experiences of multi-professional staff from schools and local authority services, exploring the perceived impact of the intervention at multiple system levels and considering the potential sustainability of this project in the future. Results of the study showed that there was a significant improvement in staff perceptions of school climate as a result of school engagement in the ARA. In addition, both school and local authority staff reported improved communication, a greater sense of shared values, and increased participative decision making. Existing research suggests that these changes establish the foundation to improve outcomes for the most disadvantaged pupils, although further research is required in order to understand the mechanisms that result in impact for YP.

This fellowship provides the opportunity to maximise the impact of these important PhD findings, through disseminating the results of the study with key stakeholders in four local areas in the UK that are engaging in WS approaches to health promotion in schools. These findings will be beneficial to both practitioners (e.g. school staff) and policy makers (e.g. Local Authorities) because they will help to understand the potential school wide outcomes and optimal conditions associated with WS approaches. My results also help staff in local areas to identify 'school readiness' to engage in this type of approach and help to prepare and support school staff, making it more likely the approach will have a positive impact for pupils. Building on established networks in these four local areas, learning can be shared between different regions. During the fellowship, further research will also be carried out in order to explore pupil experiences of WS approaches, extending the findings from my PhD. Learning from my PhD will be distributed via multiple and diverse platforms including on online blogs, at national conferences, and through paper publications in internationally recognised journals. This fellowship is also ideally suited to develop my own research skills and networks, and to enable me to contribute to the urgent priority of developing dynamic and collaborative approaches to multi-sector promotion of public health and other social policy priorities.

Covid-19 Impact and changes:

Due to Covid-19 the original research proposed for this grant (workshops with young people in schools to explore whole school approaches to mental health and wellbeing) was not possible. Therefore a new application for ethics was made for a new research project which explored school staff mental health and wellbeing during the first national lockdown and partial school closure, and this research, having gained ethical approval, was carried out online in June 2020 towards the end of the grant period. Data in this collection relates to that...

BackgroundPublic health provision in England is undergoing dramatic changes. Currently established partnerships are thus likely to be significantly disrupted by the radical reforms outlined in the Public Health White Paper. We therefore explored the process of partnership working in public health, in order to better understand the potential opportunities and threats associated with the proposed changes. Methodology/Principal Findings70 participants took part in an in-depth qualitative study involving 40 semi-structured interviews and three focus group discussions. Participants were senior and middle grade public health decision makers working in Primary Care Trusts, Local Authorities, Department of Health, academia, General Practice and Hospital Trusts and the third sector in England. Despite mature arrangements for partnership working in many areas, and much support for joint working in principle, many important barriers exist. These include cultural issues such as a lack of shared values and language, the inherent complexity of intersectoral collaboration for public health, and macro issues including political and resource constraints. There is particular uncertainty and anxiety about the future of joint working relating to the availability and distribution of scarce and diminishing financial resources. There is also the concern that existing effective collaborative networks may be completely disrupted as the proposed changes unfold. The extent to which the proposed reforms might mitigate or potentiate these issues remains unclear. However the threats currently remain more salient than opportunities. ConclusionsThe current re-organisation of public health offers real opportunity to address some of the barriers to partnership working identified in this study. However, significant threats exist. These include the breakup of established networks, and the risk of cost cutting on effective public health interventions.

Proportion of children aged 4 to 5 years classified as living with obesity. For population monitoring purposes, a child’s body mass index (BMI) is classed as overweight or obese where it is on or above the 85th centile or 95th centile, respectively, based on the British 1990 (UK90) growth reference data. The population monitoring cut offs for overweight and obesity are lower than the clinical cut offs (91st and 98th centiles for overweight and obesity) used to assess individual children; this is to capture children in the population in the clinical overweight or obesity BMI categories and those who are at high risk of moving into the clinical overweight or clinical obesity categories. This helps ensure that adequate services are planned and delivered for the whole population.

Rationale There is concern about the rise of childhood obesity and the implications of obesity persisting into adulthood. The risk of obesity in adulthood and risk of future obesity-related ill health are greater as children get older. Studies tracking child obesity into adulthood have found that the probability of children who are overweight or living with obesity becoming overweight or obese adults increases with age[1,2,3]. The health consequences of childhood obesity include: increased blood lipids, glucose intolerance, Type 2 diabetes, hypertension, increases in liver enzymes associated with fatty liver, exacerbation of conditions such as asthma and psychological problems such as social isolation, low self-esteem, teasing and bullying.

It is important to look at the prevalence of weight status across all weight/BMI categories to understand the whole picture and the movement of the population between categories over time.

The National Institute of Health and Clinical Excellence have produced guidelines to tackle obesity in adults and children - http://guidance.nice.org.uk/CG43.

1 Guo SS, Chumlea WC. Tracking of body mass index in children in relation to overweight in adulthood. The American Journal of Clinical Nutrition 1999;70(suppl): 145S-8S.

2 Serdula MK, Ivery D, Coates RJ, Freedman DS, Williamson DF, Byers T. Do obese children become obese adults? A review of the literature. Preventative Medicine 1993;22:167-77.

3 Starc G, Strel J. Tracking excess weight and obesity from childhood to young adulthood: a 12-year prospective cohort study in Slovenia. Public Health Nutrition 2011;14:49-55.

Definition of numerator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP with a BMI classified as living with obesity or severe obesity (BMI on or above 95th centile of the UK90 growth reference).

Definition of denominator Number of children in reception (aged 4 to 5 years) with a valid height and weight measured by the NCMP.

Caveats Data for local authorities may not match that published by NHS England which are based on the local authority of the school attended by the child or based on the local authority that submitted the data. There is a strong correlation between deprivation and child obesity prevalence and users of these data may wish to examine the pattern in their local area. Users may wish to produce thematic maps and charts showing local child obesity prevalence. When presenting data in charts or maps it is important, where possible, to consider the confidence intervals (CIs) around the figures. This analysis supersedes previously published data for small area geographies and historically published data should not be compared to the latest publication. Estimated data published in this fingertips tool is not comparable with previously published data due to changes in methods over the different years of production. These methods changes include; moving from estimated numbers at ward level to actual numbers; revision of geographical boundaries (including ward boundary changes and conversion from 2001 MSOA boundaries to 2011 boundaries); disclosure control methodology changes. The most recently published data applies the same methods across all years of data. There is the potential for error in the collection, collation and interpretation of the data (bias may be introduced due to poor response rates and selective opt out of children with a high BMI for age/sex which it is not possible to control for). There is not a good measure of response bias and the degree of selective opt out, but participation rates (the proportion of eligible school children who were measured) may provide a reasonable proxy; the higher the participation rate, the less chance there is for selective opt out, though this is not a perfect method of assessment. Participation rates for each local authority are available in the https://fingertips.phe.org.uk/profile/national-child-measurement-programme/data#page/4/gid/8000022/ of this profile.

The study used a mixed-methods approach comprising five specific field research components: Spatial mapping to understand the physical and built environment context in which mobility takes place; a social survey to capture the mobility and the health and wellbeing profiles of selected communities; in-depth biographic interviews to understand the role of past experiences of mobility and the rationale behind selected modes of mobility – identifying ‘mobile trajectories’; micro ethnographies through mobile interviews to capture the contemporary everyday experience of being (im)mobile; and, a participatory approach to involve the local community in identifying problems and solutions for healthy urban mobility and community wellbeing.

Since the initiation of World Health Organization (WHO) Healthy Cities movement over thirty years ago there have been increased efforts to understand how the urban environment affects health outcomes and can produce more equitable health benefits. A key concern is the way in which the physical fabric of cities affects urban mobility and how this relates to health and wellbeing. Built environmental design supportive of walking and cycling ('active mobility') could help to promote moderate physical activity as part of daily travel routines delay biological ageing and age-related conditions and improve overall health and wellbeing. In the Global South, however, the rapid growth in private motorization and the lack of value placed on walking and cycling means the association between environmental attributes and active mobility are more complex. This is having a significant impact on the urban poor and low-income groups who already engage in, and rely on, walking and cycling (and public transport) to meet their daily travel needs. The trend in the Global North, meanwhile, particularly in countries like the UK, is towards a decrease in physical activity and this is associated with more widespread private car use, obesogenic environments and greater mechanisation in the home, workplace and public places. The implementation of healthy urban mobility as part of the broader Healthy Cities concept, therefore, presents serious challenges in both the Global South and Global North and requires different approaches towards its realisation. The focus of the BRAZIL-UK Healthy Urban Mobility (HUM) research is on understanding the impact of personal (im)mobility on both individual and community health and wellbeing of different neighbourhoods in Brazil and in the UK, and developing a participatory approach to support and develop healthy urban mobility and to address health inequalities and injustice. The investigation will use a mixed method approach comprising five specific field research components (a) spatial mapping to understand the physical and built environment context in which mobility takes place (b) a social survey to capture mobility and health and wellbeing profiles of selected communities (c) in-depth biographic interviews to understand role of past experiences of mobility and the rationale behind selected modes of mobility - 'mobile trajectories' (d) micro-ethnographies through mobile interviews to capture contemporary everyday experience of being (im)mobile and (e) a participatory approach to involve the local community in identifying problems and solutions for healthy urban mobility and community wellbeing. The work will focus in three Brazilian cities and one UK city: Brazilia (Federal State), Florianopolis (State of Santa Catarina), Porto Alegre (State of Rio Grande do Sul) and Oxford (Southern England). These are chosen because of their different spatial and demographic characteristics and the challenges they are facing in relation to promoting healthy urban mobility. Empirical research will be timed such that it will be conducted in parallel in both Brazil and the UK using exactly the same approach and methods so that the UK-BRAZIL multidisciplinary team can engage in co-learning and knowledge exchange and more specifically (a) evaluate the overall approach and methodologies; (b) compare datasets between cities and between Brazil and UK; and, (c) evaluate potential policies and delivery models to promote healthy urban mobility in different contexts. Through the combination of novel research methods to experiment and assess and actively involve communities and stakeholders in active dialogue and mutual learning we hope to develop new approaches to mobility planning that seek to address health inequalities within urban areas.