Although access to the UK’s National Health Service (NHS) is based on need and not ability to pay inequities in access exist which can exacerbate health inequalities. We sought to understand barriers to healthcare access faced by families living on low incomes through semi-structured interviews with twenty-four parents and seven Voluntary Community Social Enterprise sector staff.

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

Seventeen indicators have been updated in this release:

• inequality in healthy life expectancy at birth, England
• 10 indicators from the wider determinants domain including indicators on child poverty, fuel poverty, pupil absence, crime indicators on offenders and offences, and gap in employment indicators that now have additional information on employment rates
• 5 indicators from the health protection domain including flu vaccination coverage and antibiotic prescribing
• one indicator from the healthcare and premature mortality domain, the estimated dementia diagnosis rate.

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

View previous Public Health Outcomes Framework data tool updates.

Health Poverty Index - Situation of Health: Quality of social care: The effectiveness of care for vulnerable individuals in society Source: Department of Health (DoH), Hospital Episode Statistics (HES), ONS Mid Year Estimates, ONS suicide counts Publisher: Health Poverty Index Geographies: Local Authority District (LAD), National Geographic coverage: England Time coverage: (Data from different timepoints between 1997 and 2002) Type of data: Administrative data

DATASET: Alpha version 2008 estimates of proportion of people per grid square living in poverty, as defined by the Multidimensional Poverty Index (http://www.ophi.org.uk/policy/multidimensional-poverty-index/), and associated uncertainty metrics. REGION: Africa SPATIAL RESOLUTION: 0.00833333 decimal degrees (approx 1km at the equator) PROJECTION: Geographic, WGS84 UNITS: Proportion of residents living in MPI-defined poverty (poverty dataset); 95% credible interval (uncertainty dataset) MAPPING APPROACH: Bayesian model-based geostatistics in combination with high resolution gridded spatial covariates applied to GPS-located household survey data on poverty from the DHS and/or LSMS programs. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Examples - ken08povmpi.tif = Kenya (ken) MPI poverty map for 2008. ken08povmpi-uncert.tif = uncertainty dataset showing 95% credible intervals. DATE OF PRODUCTION: January 2013 CITATION: Tatem AJ, Gething PW, Bhatt S, Weiss D and Pezzulo C (2013) Pilot high resolution poverty maps, University of Southampton/Oxford.

United Kingdom UK: Increase in Poverty Gap at $3.10: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data was reported at 0.000 % in 2013. This stayed constant from the previous number of 0.000 % for 2010. United Kingdom UK: Increase in Poverty Gap at $3.10: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data is updated yearly, averaging 0.000 % from Dec 1995 (Median) to 2013, with 6 observations. The data reached an all-time high of 0.000 % in 2013 and a record low of 0.000 % in 2013. United Kingdom UK: Increase in Poverty Gap at $3.10: Poverty Line Due To Out-of-Pocket Health Care Expenditure: 2011 PPP: % of Poverty Line data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s United Kingdom – Table UK.World Bank.WDI: Poverty. Increase in poverty gap at $3.10 ($ 2011 PPP) poverty line due to out-of-pocket health care expenditure, as a percentage of the $1.90 poverty line; ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017.; Weighted average;

Poverty and Environment Network (PEN) is an international research project and network. Launched in 2004, PEN is the largest and most comprehensive global analysis of tropical forests and poverty. Its database contains survey data on 8000+ households in 40+ study sites in 25 developing countries. At the core of PEN is comparative, detailed socio-economic data that was collected quarterly at the household and village level by 50+ research partners using standardised definitions, questionnaires and methods. The study sites were chosen to obtain widely representative coverage of different geographical regions, forest types, forest tenure regimes, levels of poverty, infrastructure and market access, and population density. The dataset is available from CIFOR Dataverse via the link in Related Resources

Forests are crucial to the livelihoods of hundreds of millions of poor people worldwide, but just how important, and for what functions? Can they help lift people out of poverty, or are they mainly useful as gap-fillers and safety nets in response to shocks? Are certain types of forest-tenure and management regimes more favourable than others? And under what conditions can increased integration into forest-product markets help? These are the questions to be answered by this tropics-wide, multi-partner research project. In the Poverty and Environment Network (PEN) consortium, led by the Centre for International Forestry Research (CIFOR), around 30 partners (mostly PhD students) gather quantitative and qualitative socioeconomic data using the same questionnaire in all three developing-country continents to illuminate the role of forests and environmental income in preventing and reducing rural poverty. A centrally coordinated pan-tropical data bank with high-quality primary household and village data is being created for the global-comparative analysis. DFID-ESRC kindly finances those PEN research components related to data-bank establishment, global analysis, publication of scientific outputs, and the dissemination of policy recommendations for tangible forest-poverty interventions.

Health Poverty Index - Situation of Health: Health capital: Individuals potential for health across the life course Source: Department of Health (DoH), Health Survey for England, 1998 to 2001, ONS Annual District Birth Extract 2001 Publisher: Health Poverty Index Geographies: Local Authority District (LAD), National Geographic coverage: England Time coverage: 1998-2001 Type of data: Survey

Dataset containing results of the 2018 Leicester Health and Wellbeing Survey for questions related to Food and Fuel Poverty. Wards with 5 or fewer responses have been supressed to maintain anonymity. It shows which areas are most affected by Fuel/Food poverty.

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.

United Kingdom UK: Proportion of Population Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data was reported at 0.000 USD in 2013. This stayed constant from the previous number of 0.000 USD for 2010. United Kingdom UK: Proportion of Population Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data is updated yearly, averaging 0.000 USD from Dec 1995 (Median) to 2013, with 6 observations. United Kingdom UK: Proportion of Population Pushed Below the $3.10: Poverty Line by Out-of-Pocket Health Care Expenditure: 2011 PPP: % data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s UK – Table UK.World Bank: Poverty. Proportion of population pushed below the $3.10 ($ 2011 PPP) poverty line by out-of-pocket health care expenditure, expressed as a percentage of a total population of a country; ; Wagstaff et al. Progress on Impoverishing Health Spending: Results for 122 Countries. A Retrospective Observational Study, Lancet Global Health 2017.; Weighted Average;

Health Poverty Index - Intervening Factors: Lifestyle Source: Department of Health (DoH) Publisher: Health Poverty Index Geographies: Local Authority District (LAD), National Geographic coverage: England Time coverage: 2001 Type of data: Modelled data Notes: Information supplied by Health Survey for England 2001, General Household Survey 2000-2001, Omnibus Survey 2001, Joint Survey Unit of the National Centre for Social Research and the Department of Epidemiology and Public Health, Hospital Episode Statistics (HES) 1998/99-2001/02

Health Poverty Index - Root Causes: Income

Source: Department of Health (DoH), ODPM 2004

Publisher: Health Poverty Index

Geographies: Local Authority District (LAD), National

Geographic coverage: England

Time coverage: 2001

Type of data: Administrative data

Notes: From ID 2004 Income Domain

Health Poverty Index - Situation of Health: Access to social care

Source: Department of Health (DoH)

Publisher: Health Poverty Index

Geographies: Local Authority District (LAD), National

Geographic coverage: England

Time coverage: 2001-2002

Type of data: Administrative data

Health Poverty Index - Intervening Factors: Health service expenditure per capita on services promoting healthy areas Source: Department of Health (DoH): Annual Financial Returns of Financial Trusts Publisher: Health Poverty Index Geographies: Local Authority District (LAD), National Geographic coverage: England Time coverage: 2001 Type of data: Administrative data

Rate of claimants / beneficiaries of incapacity benefit / severe disablement allowance with mental or behavioural disorders, per 1,000 working age population, for all people, for the years 2005 to 2007. This indicator is a proxy measure of levels of severe mental illness in the community and a direct measure of socio-economic disadvantage in those ‘not in work’ because of mental illness. Severe mental illness severely restricts the capacity to fully participate in society and in particular the employment market. Unemployment rates are high amongst people with severe mental illness. In the UK, unemployment rates of 60-100% have been reported. These high rates not only reflect the disability caused by severe mental illness, but also reflect discrimination (unemployment rates are higher than in other disabled groups) and the low priority given to employment by psychiatric services. People with long-term psychiatric disabilities are even less likely to be in employment than those with long term physical disabilities. Despite high unemployment rates amongst the severely mentally ill, surveys have consistently shown that most want to work. These low rates of employment should be considered against the facts that at least 30-40% of people who are significantly disabled by enduring mental illness are capable of holding down a job. More than 900,000 adults in England claim sickness & disability benefits for mental health conditions. This group is now larger than the total number of unemployed people claiming Jobseeker’s allowance in England. Increasing the proportion of socially excluded adults in settled accommodation and employment, education or training is currently a priority action, as set out in the PSA Delivery Agreement 16 in the HM Treasury Group Strategic Objectives 2008–2011. This indicator has been discontinued and so there will be no further updates. Legacy unique identifier: P01045

Legacy unique identifier: P01083

Health Poverty Index - Situation of Health: Health care resourcing: Net health care expenditure (inpatient and outpatients) per capita for medical, surgical and psychiatric specialties

Source: Department of Health (DoH): Annual Financial Returns of Financial Trusts

Publisher: Health Poverty Index

Geographies: Local Authority District (LAD), National

Geographic coverage: England

Time coverage: 2001/02

Type of data: Administrative data

Notes: Inpatient and outpatient net expenditure on medical, surgical and psychiatric specialties was summed for each Trust