These data are transcripts from 14 local stakeholder interviews. These stakeholders worked to promote health and reduce health inequalities in their areas. 9 participants worked in local authority public health partnerships; 3 working in a public helath role at the regional level and 2 worked in the third sector. Interviews were conducted in 2019/2020; after March 2020, interviews were conducted online becasue of the COVID-19 pandemic. Before that, interviews were conducted face-to-face. Interviews were semi-structured, followed a topic guide (loosely) and were open enough to allow participants to follow their own line of thought and interest. Ethical approval for the study was granted by the University of Sheffield’s School of Health and Related Research Ethics Committee, reference number 030027. A file 'Data file headings' explains the way each file is referenced.

It is estimated that in the United Kingdom (UK), the number of new business-to-consumer (B2C) policies in the private health insurance industry will have increased by approximately ************* policies between 2018 and 2024.Statista estimates that the share of new policies that will be taken out online between 2018 and 2024 will only grow marginally during this period. To learn more about the future of the B2C digital insurance industry in the UK, read our in-depth report.

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

The Health of the region data explorer is classified as official statistics.

This interactive resource brings together a regional and local authority view of the latest annual public health data and indicators. The report draws on published data alongside context and interpretation covering a wide range of public health topics, including:

• life expectancy
• mortality and burden of disease
• wider determinants of health
• best start in life
• risk factor and disease prevalence
• healthy ageing

The data explorer was developed to support regional and place-based decision making, prioritisation and joint strategic needs assessments. This explorer focuses on comparing current data between different regions and local areas and complements the Health trends in England report, which shows how health indicators have changed over time. It provides a snapshot of the latest public health indicators at regional and local authority level, bringing together wider context and narrative to support interpretation of data for leaders and teams working in public health and NHS settings including:

• NHS England
• integrated care boards (ICBs)
• local authorities
• academia
• emergency services
• voluntary sector organisations

The explorer was developed by the Office for Health Improvement and Disparities (OHID). It presents findings from data available on:

• https://fingertips.phe.org.uk/">OHID Public health profiles
• https://analytics.phe.gov.uk/apps/segment-tool/">OHID Segment tool
• https://www.nomisweb.co.uk/">nomis
• https://www.healthdata.org/data-tools-practices/interactive-visuals/gbd-compare">Global Burden of Disease (GBD)

The Segment tool will be updated on 12 November 2025.

If you have any comments, questions or feedback, contact us at lkis@dhsc.gov.uk. Use ‘Health of the region data explorer’ as the email subject.

The aim of this study was to undertake an empirical analysis of the policy process in the NHS, in order to examine how policy towards health inequalities is formulated and how that policy is translated vertically into local policy. How and why local policies differ within health authorities and other agencies was also considered, and how these initiatives are evaluated at local level.

The first stage of the research project was a review of legislation and national policy documents. The second stage was a short questionnaire sent to over 2000 named trusts and local authorities in England, Wales and Scotland. The third stage used case studies and interviews to examine how the policy process worked. Together, the three stages aimed to provide a balance between qualitative and quantitative data sources in assessing the interaction between stakeholders in formulating and implementing equity policies.

Users should note that only the interview transcripts from the third stage of the research are currently held at the UK Data Archive - the questionnaire data are not included in the study

ABSTRACT Although the National Health Service (NHS) and the Unified Health System (SUS) are systems with similar universal principles, they can show different political measure patterns in the pharmaceutical field. This paper aimed to provide a comparative analysis of pharmaceutical policies highlighting strategies to guarantee access and sustainability to High-Price Medicines (HPMs) in Brazil and England. We performed an integrative literature review in electronic databases, supplemented by grey literature searched on governmental platforms (laws, decrees, ordinances, and resolutions). A total of Forty-seven articles and seven policies were selected and categorized for analysis. The results showed that both countries apply distinct policies to ensure access to HPMs, among them, policies to define price and reimbursement and actions to regulate the use inside the system. Also, these countries apply distinct policies to their sustainability as local partnerships for product development in Brazil and confidential managed agreements with multinational industries in the England. In conclusion, despite similarities in principles, these countries have been proposing and applying distinct pharmaceutical policies to maintain access and ensure the sustainability of their health systems.

Context

Mental Health Services Monthly Statistics

This publication provides the most timely picture available of people using NHS funded secondary mental health, learning disabilities and autism services in England. These are experimental statistics which are undergoing development and evaluation. This information will be of use to people needing access to information quickly for operational decision making and other purposes. More detailed information on the quality and completeness of these statistics is made available later in our Mental Health Bulletin: Annual Report publication series.

• COVID-19 and the production of statistics

Due to the coronavirus illness (COVID-19) disruption, it would seem that this is now starting to affect the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also starting to see 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.

Content

Time period covered Feb 1, 2020 - April 31, 2020

Area covered England

Acknowledgements

reference: Mental Health Services Monthly Statistics

Author: Community and Mental Health Team, NHS Digital
Responsible Statistician: Tom Poupart, Principal Information Analyst
Public Enquiries: Telephone: 0300 303 5678
Email: enquiries@nhsdigital.nhs.uk
Press enquiries should be made to: Media Relations Manager: Telephone: 0300 303 3888

Published by NHS Digital part of the Government Statistical Service Copyright © 2020 Health and Social Care Information Centre. The Health and Social Care Information Centre is a non-departmental body created by statute, also known as NHS Digital.

You may re-use this document/publication (not including logos) free of charge in any format or medium, under the terms of the Open Government Licence v3.0.
To view this licence visit To view this licence visit www.nationalarchives.gov.uk/doc/open-government-licence www.nationalarchives.gov.uk/doc/open-government-licence or write to the Information Policy Team, The National Archives, or write to the Information Policy Team, The National Archives, Kew, Richmond, Surrey, TW9 4DU Kew, Richmond, Surrey, TW9 4DU; or email: psi@nationalarchives.gsi.gov.uk or email: psi@nationalarchives.gsi.gov.uk

Cover by-

Inspiration

This dataset is to solve the challenge- UNCOVER COVID-19 Challenge, United Network for COVID Data Exploration and Research. This data is scraped in hopes of solving the task - Mental health impact and support services.

Task Details Can we predict changes in demand for mental health services and how can we ensure access? (by region, social/economic/demographic factors, etc). Are there signs of shifts in mental health challenges across demographies, whether improvements or declines, as a result of COVID-19 and the various measures implement to contain the pandemic?

Additional file 2: Table A1. Absolute number of avoidable and non-avoidable causes of death in the UK in 2001-2003 and 2014-2016, stratified by sex. Table A2. Results of Arriaga’s decomposition for the UK. Table A3. Results of Arriaga’s decomposition for England & Wales. Table A4. Results of Arriaga’s decomposition for Northern Ireland. Table A5. Results of Arriaga’s decomposition for Scotland. Table A6. Age- and cause-specific contributions to gap in life expectancy between England & Wales vs. Northern Ireland. Table A7. Age- and cause-specific contributions to gap in life expectancy between England & Wales vs. Scotland.

These data resulted from a study that aimed to produce a conceptual description of the system through which policies affect tobacco and alcohol consumption. The study addressed the research question, ‘How could we model the effects of policies that target tobacco and/or alcohol consumption in a common framework?’

Participants were identified from UK research networks, government agencies, and non-governmental organisations, selected for expertise in UK research and policy related to alcohol and/or tobacco. Neither tobacco nor alcohol industry representatives were invited to avoid conflicts of interest. Of 37 individuals invited, 24 agreed to participate and completed the survey; 21 attended the workshop.Ethical approval was obtained from the School of Health and Related Research, University of Sheffield (Reference 004443). Participants received an information sheet and signed a form consenting to our use of their anonymised data.

Background Good prescribing practice has an important part to play in the fight against antimicrobial resistance. Whilst it was perceived that most hospitals and Health Authorities possessed an antibiotic policy, a review of antibiotic policies was conducted to gain an understanding of the extent, quality and usefulness of these policies. Methods Letters were sent to pharmacists in hospitals and health authorities in across the South East region of the National Health Service Executive (NHSE) requesting antibiotic policies. data were extracted from the policies to assess four areas; antibiotic specific, condition specific, patient specific issues and underpinning evidence. Results Of a possible 41 hospital trusts and 14 health authorities, 33 trusts and 9 health authorities (HAs) provided policies. Both trust and HA policies had a median publication date of 1998 (trust range 1993-99, HA 1994-99). Eleven policies were undated. The majority of policies had no supporting references for the statements made. All policies provided some details on specific antibiotics. Gentamicin and ciprofloxacin were the preferred aminoglycoside and quinolone respectively with cephalosporins being represented by cefuroxime or cefotaxime in trusts and cephradine or cephalexin in HAs. 26 trusts provided advice on surgical prophylaxis, 17 had meningococcal prophylaxis policies and 11 covered methicillin resistant Staphylococcus aureus (MRSA). There was little information for certain groups such as neonates or children, the pregnant or the elderly. Conclusion There was considerable variation in content and quality across policies, a clear lack of an evidence base and a need to revise policies in line with current recommendations.

Mental Health Services for Children

Monthly Statistics from England

By data.world's Admin [source]

About this dataset

This dataset provides insight into the mental health services available to children and young people in England. The data includes all primary and secondary levels of care, as well as breakdowns by age group. Information is provided on the number of people in contact with mental health services; open ward stays; open referrals; referrals starting in reporting period; attended contacts; indirect activity; discharged from referral; missed care contacts by DNA reasons and more. With these statistics, analysts may be able to better understand the scope of mental health service usage across different age groups in England and make valuable conclusions about best practices for helping children & young people receive proper care

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This guide provides information on how to use this dataset effectively.

Understanding the Columns:

Each row represents data from a specific month within a reporting period. The first thing to do is to find out what each column represents - this is explained by their titles and descriptions included at the beginning of this dataset. Note that there are primary level columns (e.g., Reporting Period, Breakdown) which provide overall context while secondary level columns (e.g., CYP01 People in contact with children and young peoples' mentally health service…) provide more detail on specific indicators of interest related to that primary level column value pair (i.e., Reporting Period X).

Exploring Data Variables:

The next step is exploring which data variables could potentially be helpful when analyzing initiatives/programs related to mental health care for children & youth in England or developing policies related to them – look through all columns included here for ones you think would be most helpful such as ‘CYP21 – Open ward stays...’ or ‘MHS07a - People with an open hospital spell…’ and note down those that have been considered necessary/relevant based on your particular situation/needs before further analyzing using software packages like Excel or SPSS etc..

Analyzing Data Values:

Now comes the time for analyzing individual values provided under each respective column – take one single numerical data element such as ‘CYP02 – People… CPA end RP’ & run through it all looking at trends over time, averages across different sections by performing calculations via software packages available like tables provided above based upon sorted hierarchies needed.. Then you can then start looking into making meaningful correlations between different pieces of information given herein by cross-referencing contexts against each other resulting if any noticeable patterns found significant enough will make informative decisions towards policy implementations & program improvement opportunities both directly concerned

Research Ideas

• Using this dataset to identify key trends in mental health services usage among children and young people in England, such as the number of open ward stays and referrals received.
• Using the information to develop targeted solutions on areas of need identified from the data by geographical area or age group, i.e creating campaigns or programs specifically targeting specific groups at a higher risk of experiencing mental health difficulties or engaging with specialist services.
• Tracking how well these initiatives are working over time by monitoring relevant metrics such as attendance at appointments, open referrals etc to evaluate their effectiveness in improving access and engagement with mental health services for those most in need

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: Dataset copyright by authors - You are free to: - Share - copy and redistribute the material in any medium or format for any purpose, even commercially. - Adapt - remix, transform, and build upon the material for any purpose, even commercially. - You must: - Give appropriate credit - Provide a link to the license, and indicate if changes were made. - ShareAlike - You must distribute your contributions under the same license as the original. - ...

This dataset, curated by PIONEER, encompasses a detailed collection of 181,207 asthma admissions from 1st June 2016 to 31st May 2022, offering a comprehensive analysis tool for researchers examining the effects of air quality on respiratory health. It includes extensive patient demographics, serial physiological measurements, assessments, diagnostic codes (ICD-10 and SNOMED-CT), initial presentations, symptoms, and outcomes. Additionally, it integrates DEFRA air pollution data, geographically linked t individual health data, allowing for a nuanced exploration of environmental impacts on asthma incidence and severity. The dataset includes 4 years of data prior to and currently 1 year post introduction of the clean air zone.

The dataset invites longitudinal studies to evaluate the Clean Air Zones' effectiveness. Timelines post-introduction of the clean air zone can be expanded to include data up to 2024. Its granular detail provides invaluable insights into emergency medicine, public health policy, and environmental science, supporting targeted interventions and policy formulations aimed at reducing asthma exacerbations and improving air quality standards.

Geography: The West Midlands (WM) has a population of 6 million & includes a diverse ethnic & socio-economic mix. UHB is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & > 120 ITU bed capacity. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Data set availability: Data access is available via the PIONEER Hub for projects which will benefit the public or patients. This can be by developing a new understanding of disease, by providing insights into how to improve care, or by developing new models, tools, treatments, or care processes. Data access can be provided to NHS, academic, commercial, policy and third sector organisations. Applications from SMEs are welcome. There is a single data access process, with public oversight provided by our public review committee, the Data Trust Committee. Contact pioneer@uhb.nhs.uk or visit www.pioneerdatahub.co.uk for more details.

Available supplementary data: Matched controls; ambulance and community data. Unstructured data (images). We can provide the dataset in OMOP and other common data models and can build synthetic data to meet bespoke requirements.

Available supplementary support: Analytics, model build, validation & refinement; A.I. support. Data partner support for ETL (extract, transform & load) processes. Bespoke and “off the shelf” Trusted Research Environment (TRE) build and run. Consultancy with clinical, patient & end-user and purchaser access/ support. Support for regulatory requirements. Cohort discovery. Data-driven trials and “fast screen” services to assess population size.

Note 09/05/2013 A presentation error has been identified in the data in tables 7.1 and 7.2 originally included in this publication. The tables have been republished with corrected figures. The accompanying errata note provides more detail. The Health and Social Care Information Centre apologise for any inconvenience this may have caused. Summary: 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 Chapter 7 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) or the National Audit Office. Previously unpublished figures on obesity-related Finished Hospital Episodes and Finished Consultant Episodes for 2011/12 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.

These data underly an analysis currently in peer review with BMC Health Research Policy and Systems.

These data resulted from a study that aimed to produce a conceptual description of the system through which policies affect tobacco and alcohol consumption. The study addressed the research question, ‘How could we model the effects of policies that target tobacco and/or alcohol consumption in a common framework?’

Participants were identified from UK research networks, government agencies, and non-governmental organisations, selected for expertise in UK research and policy related to alcohol and/or tobacco. Neither tobacco nor alcohol industry representatives were invited to avoid conflicts of interest. Of 37 individuals invited, 24 agreed to participate and completed the survey; 21 attended the workshop.Ethical approval was obtained from the School of Health and Related Research, University of Sheffield (Reference 004443). Participants received an information sheet and signed a form consenting to our use of their anonymised data.

Dataset showing Health Related Land under Policy F1 of the Saved Local Plan 2006. Areas recorded as polygons. Upon accessing this Licensed Data you will be deemed to have accepted the terms of the Public Sector End User Licence - INSPIRE

In May 2021, ** percent of the British people surveyed believed that better GP support for obese people with referrals to weight management services is an effective policy to tackle obesity in the United Kingdom, while ** percent believe that would be ineffective. Furthermore, ** percent of respondents believed rewards for people who eat better, and exercise would be effective in tackling obesity in the UK,

Obesity levels high and have increased over time Obesity among adults in England has amplified since the turn of the century. Among both genders in 2000, ** percent were classed as obese. Although by 2019, this share had increased to almost ** percent of the population. Additionally, ** percent of boys and ** percent of girls aged between 11 and 15 years of age were reported as obese in 2019.

Effects on the health service The number of hospital admissions as a result of obesity has increased alongside the rise in the prevalence of obesity in England. In 2019/20, over eight thousand women and nearly *** thousand men were admitted to hospital for obesity. Compared to fewer than nine hundred and five hundred admissions among women and men respectively in 2002/03. The highest number of admissions due to obesity were found in the age group 45 to 54 years, with over *** thousand admissions in that age group.

The Productive Healthy Ageing Profile data update for February 2021 has been published by Public Health England (PHE).

This tool provides data and links to relevant guidance and further information on a wide range of topics relevant to healthy ageing. Indicators can be examined at local, regional or national level.

The aim of this tool is to support PHE productive healthy ageing policy and inform public health leads and the wider public health system about relevant key issues.

This release contains a new indicator relating to:

• homelessness in older people

and updated indictors relating to:

• inequality in life expectancy
• smoking prevalence
• abdominal aortic aneurysm screening
• shingles vaccination
• cancer screening
• cancers diagnosed at stages 1 and 2
• self-reported wellbeing
• winter fuel payments
• diabetic eye screening
• dementia
• falls and hip fractures
• independent living support
• social care service user experience, including social isolation
• admissions to residential and nursing care homes

If you would like to contact us about the tool email: ProfileFeedback@phe.gov.uk

This statistic displays the results of a survey amongst UK citizens in April 2016, regarding their opinion on the desirability of the EU strengthening its health and social security policy. ** percent of respondents reported they believed the EU should strengthen its health and social security policy more than at present.