First annual update of the set of headline indicators recommended in the Equally Well report of the ministerial task force on health inequalities. Source agency: Scottish Government Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Long-Term Monitoring of Health Inequalities

The draft London Health Inequalities Strategy This document outlines the main issues that lead to inequalities in the health of different groups of Londoners, and a set of aims for reducing them. It outlines the Mayor’s role, but also how other organisations working in health in London can work together to ensure that all Londoners can benefit from a healthy lifestyle. The draft strategy was published on the London.gov.uk website on 23 August 2017 for a 14-week public consultation (closing 30 November 2017). The Report to the Mayor provides a high-level summary and analysis of the issues raised during the consultation of the draft strategy, from both technical stakeholders and members of the public. This allowed the Mayor to have proper regard to the consultation responses when deciding whether to approve the final version of the strategy. The public responded to the consultation via Talk London online discussion threads and surveys; and via representative polling. The Talk London datasets and emailed responses were analysed by policy area, and compared against insights from the representative polling. This allowed the team to identify any similarities or differences between the views of the general population and the views of the Talk London community. All datasets on a policy area were brought together in a single thematic summary report, which aimed to show where the balance of opinion lay, as well as highlight areas of disagreement or debate. These reports are provided below, alongside the more detailed qualitative and quantitative research findings and data tables.

While London tends to have better health outcomes than the rest of the UK, stark ethnic and socioeconomic inequalities remain. The Snapshot of Health Inequalities in London provides a high-level overview of major inequalities issues affecting Londoners with thematic packs on climate, children and young people, and the cost of living. This is a resource intended to inform health and non-health specialists. It will inform action on health inequalities across all strategies, policies and programmes, supporting a health in all policies approach. Webinar ‘Exploring the London Snapshot of Health Inequalities’ webinar presents the key findings followed by a panel discussion, covering five priority areas: Child health equity  Cardiovascular health  Mental health  Poverty and economy  Climate and environment  Watch the webinar here. Development of the resource Greater London Authority (GLA) Health, GLA City Intelligence Unit, Office for Health Improvement and Disparities London (OHID), Association of Directors of Public Health London (ADPH), NHSE and Institute of Health Equity (IHE) have collaboratively produced this report. The snapshot brings together published data. The topics and themes have been identified with partners through iterative discussion. Originally published in 2022, this updated and expanded version was published in July 2024.

Health inequalities are the differences in health and wellbeing, risk or outcomes, between different groups of people. Tackling health inequalities requires knowledge about the factors affecting health. With input from key stakeholders we selected 12 indicators of health and the wider determinants of health which we will monitor over time. These indicators will improve our understanding of health inequalities.

Go to Tackling London’s Health Inequalities for more information on the HIS Health Inequalities Strategy and the Indicators.

Data and Resources

The most recent data for each indicator will be available for download below:

Overall measures of health inequality:

1. Slope Index of Inequality for Life Expectancy
2. Healthy Life Expectancy
3. Self-reported wellbeing:
   1. Happiness
   2. Life Satisfaction
   3. Worthwhileness
   4. Anxiety

More specific measures of health inequality:

1. School Readiness at age 5
2. Educational Achievement - Percentage of pupils achieving 5 or more GCSEs at grades A*-C (including English and Maths)
3. Antenatal late booking - Percentage of pregnant women booking after 12wks +6 days
4. Flu vaccination proportion of those >65 years and of those at risk
5. Vulnerable road user risk of fatality or serious injury
6. Homelessness
   1. Statutory homelessness
   2. Homelessness prevention
   3. Change in number of rough sleepers
7. Proportion of employees receiving lower income than the London Living Wage
8. Unemployment rates – model-based estimates; proportion of resident population
9. Childhood obesity - Proportion of children aged 4-5 classified as overweight or obese.

The COVID-19 Health Inequalities Monitoring in England (CHIME) tool brings together data relating to the direct impacts of coronavirus (COVID-19) on factors such as mortality rates, hospital admissions, confirmed cases and vaccinations.

By presenting inequality breakdowns - including by age, sex, ethnic group, level of deprivation and region - the tool provides a single point of access to:

• show how inequalities have changed during the course of the pandemic and what the current cumulative picture is
• bring together data in one tool to enable users to access and use the intelligence more easily
• provide indicators with a consistent methodology across different data sets to facilitate understanding
• support users to identify and address inequalities within their areas, and identify priority areas for recovery

In the March 2023 update, data has been updated for deaths, hospital admissions and vaccinations. Data on inequalities in vaccination uptake within upper tier local authorities has been added to the tool for the first time. This replaces data for lower tier local authorities, published in December 2022, allowing the reporting of a wider range of inequality breakdowns within these areas.

Please send any questions or comments to PHA-OHID@dhsc.gov.uk

Description

This data companion pack is a resource intended to frame and be read alongside the linked Evidence Review: Housing and Health Inequalities in London (available on the Institute of Health Equity website) .

The resource provides intelligence and context on the housing and health inequalities in London only, while the accompanying rapid review of evidence for interventions contains the recommendations for action.​

1. This pack is intended to provide a high-level overview of the best available data on housing in London and the key housing-related health inequalities issues faced by Londoners, in correlation with the IHE Evidence Review: Housing and Health Inequalities in London.​
2. This pack identifies how certain groups in the population are at greatest risk of housing-related health inequalities, as well as noting gaps in available data for particularly excluded groups.
3. The pack provides a platform for partnership work on housing-related health inequalities across London, including providing an overview of key issues, and identifying key gaps in intelligence that would help improve understanding of housing-related inequalities across the capital. ​

Audience

It will be useful for health leaders, analysts, officers, and policy makers from local and regional government, integrated care systems, and more, to address ​housing-related health inequalities by -

• Advocating for the need for action to address housing inequalities, given impacts on health and health inequalities ​
• Framing the context for the interventions highlighted in the linked rapid review of interventions​
• Engaging communities ​

​Development of this resource

The Institute of Health Equity (IHE), Greater London Authority (GLA) Health, GLA City Intelligence Unit, Office for Health Improvement and Disparities London (OHID), Association of Directors of Public Health London (ADPH), and NHSE have collaboratively produced this report, as part of the Building the Evidence (BTE) programme of work

• The sources of data available and topics included have been identified from existing published data, working in partnership through iterative discussion
• The resource is provided in PDF and PowerPoint format to support colleagues in their work to
• There is no current plan for periodic updates of this resource, though this will be discussed on completion of this programme of work

Other useful resources:

• The Integrated Care Systems (ICS) Housing Profile is a resource that aims to support people working in ICSs and ICBs to understand, and work jointly with partners to mitigate and tackle the key housing-related issues that drive poor health in London.

The Mayors Health Inequalities Strategy sets out his plans to tackle unfair differences in health to make London a healthier, fairer city. This dataset reports the 14 headline population health indicators that will be used to monitor London’s progress in reducing health inequalities over the next ten years. The themes of the indicators are listed below. The measures will monitor an identified inequality gap between defined populations. Healthy life expectancy at birth – male Healthy life expectancy at birth – female Children born with low birth weight School readiness among children Excess weight in children at age 10-11 (year 6) Excess mortality in adults with serious mental illness Suicide Mortality caused by Particulate Matter (PM2.5) Employment Feeling of belonging to a community (provisional) HIV late diagnosis People diagnosed with TB Adults walking or cycling for two periods of ten minutes each day Smoking

This report provides data to expand awareness of disparities in musculoskeletal health at a national level. The report supplements OHID’s musculoskeletal conditions profile, which provides local data on musculoskeletal prevalence and risk factors to enable commissioners, and other stakeholders, to understand the unique health needs of local populations.

This first release focuses on the prevalence of longterm musculoskeletal conditions across the population while further topics, such as the impact of musculoskeletal conditions on employment, will be added to future releases. Data included in this current release will be updated as new data becomes available.

Unlocking Data to Inform Public Health Policy and Practice: WP1 Mapping Review Supplementary Excel S1
The data extracted into Excel Tab "S1 Case studies (extracted)" represents information from 31 case studies as part of the "Unlocking Data to Inform Public Health Policy and Practice" project, Workpackage (WP) 1 Mapping Review. Details about the WP1 mapping review can be found in the "Unlocking Data to Inform Public Health Policy and Practice" project report, which can be found via this DOI link: https://doi.org/10.15131/shef.data.21221606

This report presents findings on the health and health-related behaviours of the Lesbian, Gay and Bisexual (LGB) population in England. These are analysed by age, sex and ethnicity. The data are based on a representative sample of adults, aged 16 and over, who participated in the Health Survey for England from 2011–2018. 2% of adults surveyed in 2011-2018 identified as lesbian, gay or bisexual (LGB) The Health Survey for England series was designed to monitor trends in the health, and health related behaviours, of adults and children in England.

Camden and Islington annual public health report focusing on tackling health inequalities.

Responsibility for public health was devolved to local authorities in 2013/14. They are now responsible for improving the health of their local population and reducing health inequalities. The reports featured on this page are rapid analyses conducted by City Intelligence at the GLA, examining the public health grants that are allocated to London local authorities each year. Reports are available for the grants allocated for 2020 to 2021, 2022 to 2023, 2024 to 2025 and 2025 to 2026.

OBJECTIVES: To determine the association between area and individual measures of social disadvantage and infant health in the United Kingdom (UK). DESIGN: Systematic review and meta-analyses. DATA SOURCES: 26 databases and web sites, reference lists, experts in the field and hand-searching. STUDY SELECTION: 36 prospective and retrospective observational studies with socio-economic data and health outcomes for infants in the UK, published from 1994 to May 2011. DATA EXTRACTION AND SYNTHESIS: Two independent reviewers assessed the methodological quality of the studies and abstracted data. Where possible, study outcomes were reported as odds ratios for the highest versus the lowest deprivation quintile. RESULTS: In relation to the highest versus lowest area deprivation quintiles the odds of adverse birth outcomes were 1.81 (1.71 to 1.92) for low birth weight, 1.67 (1.42 to 1.96) for premature birth and 1.54 (1.39 to 1.72) for still birth. For infant mortality rates the odds ratios were 1.72 (1.37 to 2.15) overall, 1.61 (1.08 to 2.39) for neonatal and 2.31 (2.03 to 2.64) for post-neonatal mortality. For lowest versus highest social class, the odds were 1.79 (1.71 to 1.92) for premature birth, 1.52 (1.44 to 1.61) for overall infant mortality, 1.42 (1.33 to1.51) for neonatal and 1.69 (1.53 to 1.87) for post-neonatal mortality. There are similar patterns for other infant health outcomes with the possible exception of failure to thrive, where there is no clear association. CONCLUSIONS: This review quantifies the influence of social disadvantage on infant outcomes in the UK. The magnitude of effect is similar across a range of area and individual deprivation measures and birth and mortality outcomes. Further research should explore the factors that are more proximal to mothers and infants, to help throw light on the most appropriate times to provide support and the form(s) that this support should take.

Life expectancy at birth is the average number of years a person can expect to live should current mortality

patterns stay constant. This report details how trends in mortality by age and cause of death explain recent

changes in life expectancy. The results are examined in the context of changes in the recording, measuring

and classifi cation of demographic data over recent years.

Source agency: Health, Social Service and Public Safety (Northern Ireland)

Designation: Official Statistics not designated as National Statistics

Language: English

Alternative title: NI HSC IMS An overview of changes in Northern Ireland life expectancy

New analysis on cancer screening inequality (January 2022) The Camden and Islington Public Health Intelligence team has recently completed an equity analysis to explore existing disparities in cancer screenings looking at the North Central London population groups before the COVID-19 pandemic. This analysis highlights the differences in both bowel screening coverage and cervical screening coverage between certain groups (for example, by gender, age, race/ethnicity and disability status) and GP practice level. There is also an association with deprivation, and lower bower screening coverage is seen in those who smoke, those who are obese, and those with a mental health condition (both depression or severe mental health). This analysis will help identify opportunities for local strategies and prevention to help improve overall cancer screening, and reduce inequity gaps.

This is a monthly report on publicly funded community services for people of all ages using data from the Community Services Data Set (CSDS) reported in England for September 2021. It has been developed to help achieve better outcomes and provide data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. This report uses the new version of the dataset, CSDS v1.5. As an uplift from v1.0, the v1.5 dataset collects additional data on a person's care plan details, employment status and social & personal circumstances. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. More information about experimental statistics can be found on the UK Statistics Authority website. A supplementary file including health visiting metrics now accompanies this publication. Due to the coronavirus illness (COVID-19) disruption, the quality and coverage of some of our statistics has been affected, for example, by an increase in non-submissions for some datasets. We are also seeing some different patterns in the submitted data. For example, fewer patients are being referred to hospital and more appointments being carried out via phone/telemedicine/email. Therefore, data should be interpreted with care over the COVID-19 period.