Provisional counts of the number of care home resident deaths registered in England and Wales, by region, including deaths involving coronavirus (COVID-19), in the latest weeks for which data are available.

This dataset provides Census 2021 estimates that classify usual residents aged 65 years and over living in a care home in England and Wales. The estimates are as at Census Day, 21 March 2021.

Provisional counts of deaths in care homes caused by coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.

Residential and nursing care homes Additional metadata: - Licence: http://reference.data.gov.uk/id/open-government-licence

This dataset is about book subjects and is filtered where the books is Care homes for older people : UK market report, featuring 4 columns: authors, book subject, books, and publication dates. The preview is ordered by number of books (descending).

Care homes including, name, number of rooms by type (nursing, nursing EMI, residential, residential EMI) address and location. For more information about Care Homes see: https://www.calderdale.gov.uk/v2/residents/health-and-social-care/residential-and-nursing-care-page

Abstract copyright UK Data Service and data collection copyright owner. The main aim of the Care for Elderly People at Home project was to explore new ways to help elderly people at risk of failing to cope, to remain in their own homes. An important assumption underlying the approach of the project was that for elderly people in particular, health problems are intimately tied in with their social situation and needs cannot be simply categorised as social' ormedical'. `Care coordinators' under the project gathered and exchanged information on services and resources, assessed the individual needs of elderly people and gathered information for research purposes both on the effect of services and their general availability and appropriateness.

This is a monthly report on publicly funded community services for children, young people and adults using data from the Community Services Data Set (CSDS) reported in England for February 2020. The CSDS is a patient-level dataset and has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. These services can include NHS Trusts, health centres, schools, mental health trusts, and local authorities. The data collected in CSDS includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report.

The average number of years care home residents aged 65 years and over are expected to live beyond their current age in England and Wales. Classified as Experimental Statistics.

The study will be expanding to other providers and care homes across England and will provide a detailed picture of prevalence, seroprevalence, transmission and potential immunity over time.By testing around 6500 staff and 5000 residents across >100 care homes in England, we will estimate the proportion who have been infected with COVID-19 in the past and have antibodies, and the proportion who are infected now. These tests will be repeated over time to learn how COVID-19 spreads in care homes and how long the antibody response lasts and whether this helps to prevent re-infection with the virus. In those who are currently infected, we will also collect information on who is experiencing symptoms to help us to understand how this affects spread of infection within care homes. We will find out about how infection spreads between care homes, the community and hospitals by linking the information we collect to national data on hospital admissions and deaths.

N.B.: The data within the VIVALDI 2 dataset is being examined and cleaned to improve its quality, this is ongoing work.

COVID-19 causes significant mortality in elderly and vulnerable people and spreads easily in care homes where one in seven individuals aged > 85 years live. However, there is no surveillance for infection in care homes, nor are there systems (or research studies) monitoring the impact of the pandemic on individuals or systems. Usual practices are disrupted during the pandemic, and care home staff are taking on new and unfamiliar roles, such as advanced care planning. Understanding the nature of these changes is critical to mitigate the impact of COVID-19 on residents, relatives and staff. 20 care homes staff members were interviewed using semi-structured interviews.

The COVID-19 pandemic poses a substantial risk to elderly and vulnerable care home residents and COVID-19 can spread rapidly in care homes. We have national, daily data on people with COVID-19 and deaths, but there is no similar data for care homes. This makes it difficult to know the scale of the problem, and plan how to keep care home residents safe. We also want to understand the impact of COVID-19 on care home staff and residents. Researchers from University College London (UCL) will measure the number of cases of COVID-19 in care homes, using data from Four Seasons Healthcare, a large care home chain. FSHC remove residents' names and addresses before sending the dataset to UCL, protecting resident's confidentiality. Since we cannot visit care homes during the pandemic, we will hold virtual (online) discussion meetings with care home stakeholders (staff, residents, relatives, General Practice teams) every 6-8 weeks, to learn rapid lessons about managing COVID-19 in care homes and identify pragmatic solutions. Our findings will be shared with FHSC, GPs and Public Health England, patients and the public, and support the national response to COVID-19. Patients and the public will be involved in all stages of the research.

Abstract copyright UK Data Service and data collection copyright owner. This is a qualitative data collection. In the late 1950s Peter Townsend undertook a national study which investigated the provision of long-stay institutional care for old people in England and Wales. His findings and recommendations were published in 1962 in his book The Last Refuge. The study sought to ask "Are long stay institutions for old people necessary in our society, and, if so, what form should they take?" Interviews were conducted with local authority chief welfare officers; and over one hundred institutions - local authority, voluntary and private - were visited and interviews made with their matrons, wardens and proprietors; as well as residents. In many cases, detailed notes were also made about the condition of the buildings and the facilities that were offered. The study was conducted in 5 distinct stages:Pilot 1 - Peter Townsend's first visit to a old people's home (2 field notes)Pilot 2 - Pilot visits/interviews with Welfare Officers and at homes for the elderly in Hampshire (9 field notes; 3 interview summaries)Pilot 3 - Pilot visits/interviews in homes for the elderly in London (7 field notes)Welfare Officer Interviews - Interviews with Welfare Officers (61 interview summaries)Home Interviews - Interviews with matrons, superintendents or proprietors of homes for the elderly (4 field notes; 130 interview summaries)The data collection also includes 112 digitized photographs taken at the care institutions by Townsend during the fieldwork. The photographs complement the stories told in the interview summaries and field notes. Metadata has been added in the property of each photograph, including id, name of the collection, author, annotations, and a description of the photograph. The data collection which is available from ESDS Qualidata has been digitisation for download. A teaching resource has been created which can be used alongside this data collection - Re-using qualitative data - The Last Refuge. The resource has activities that can be used in the classroom or as self-paced learning activities. The aim is to think critically about the project's methodology and information provided by the data and what kinds of opportunities and challenges these might present for re-use of that data. For the second edition (August 2011), 112 digitised photographs have been added to the data collection. Main Topics: Old age; elderly people; residential care of the elderly; nursing homes; old people's homes; care of dependants; retirement; nursing; nursing staff; poverty; welfare services; welfare service administration; social isolation; loneliness. One-stage stratified or systematic random sample Face-to-face interview

Abstract copyright UK Data Service and data collection copyright owner.

The objectives of the study were:
to establish whether self-funded people who are admitted to residential care differ significantly in terms of financial assets and informal support from elderly people in private households;
to establish the extent to which self-financed residents are admitted at levels of dependency that might have been maintained in the community;
to investigate the process of admission and whether those people with lower levels of dependency are admitted through choice or lack of access to appropriate alternatives;
to investigate factors associated with the choice of home;
identify the level of receipt of non-means tested benefits; and
to estimate expected length of stay of self-funded residents.


Main Topics:

The dataset contains data from a survey of care home managers, and from a survey of relatives or other contacts of residents of care homes, where these were available. The home managers provided information about the home on the Home Manager Questionnaire and about recently-admitted residents on the Resident Questionnaire. The relatives/other contacts provided information about the same residents on the Family/Friend Questionnaire. The dataset consists of two SPSS data files, relating to the Home Manager Questionnaire and to the Resident and Family/Friend questionnaires. Each data file contains a complete set of variables from the respective questionnaires, with the exception of variables identifying the address of individual residents, together with derived variables. In particular, where no relative or other contact could be identified, home managers were asked, where possible, to supply additional information on the resident’s financial circumstances, corresponding to the information on the Family/Friend Questionnaire. Composite derived variables were computed using the data from the Family/Friend Questionnaire, where available, or from the data supplied by the home managers.

Standard measures of resident dependency were computed from the resident-level data: the Barthel Index of Activities of Daily Living (Royal College of Physicians and British Geriatrics Society, Standardised Assessment Scales for Elderly People, Royal College of Physicians of London, London, 1992); and the Minimum Data Set Cognitive Performance Scale (Morris, J.N., Fries, B.E., Mehr, D.R., Hawes, C., Phillips, C., Mor, V. and Lipsitz, L.A., MDS Cognitive Performance Scale, Journal of Gerontology: Medical Sciences, 1994, 49(4), M174-M182).

The measure of social care outcome for older people (SCOOP) developed by Netten and her colleagues was computed from the Family/Friend Questionnaire data (Netten, A., Ryan, M., Smith, P., Skatun, D., Healey, A., Knapp, M. and Wykes, T., The Development of a Measure of Social Care Outcome for Older People, PSSRU Discussion Paper No. 1690/2, Personal Social Services Research Unit, 2002). (Note that the final version of the measure is the Older People's Utility Scale for Social Care (OPUS).)

Wenger's Support Network Typology (Wenger, G.C., Help in Old Age – Facing up to Change: A Longitudinal Network Study, Institute of Human Ageing, Liverpool University Press, Liverpool, 1992) was used to classify the informal care network of residents using Wenger and Scott's Support Network Type Algorithm version 1.2 ((c) G. Clare Wenger and Anne Scott 1994, 1996, Centre for Social Policy Research and Development, University of Wales, Bangor, Gwynedd, UK, LL57 2DG).

• to provide annual data about the nation’s health;
• to estimate the proportion of people in England with specified health conditions;
• to estimate the prevalence of certain risk factors associated with these conditions;
• to examine differences between population subgroups in their likelihood of having specific conditions or risk factors;
• to assess the frequency with which particular combinations of risk factors are found, and which groups these combinations most commonly occur;
• to monitor progress towards selected health targets
• since 1995, to measure the height of children at different ages, replacing the National Study of Health and Growth;
• since 1995, monitor the prevalence of overweight and obesity in children.

The survey includes a number of core questions every year but also focuses on different health issues at each wave. Topics are revisited at appropriate intervals in order to monitor change.

Further information about the series may be found on the NHS Digital Health Survey for England; health, social care and lifestyles webpage, the NatCen Social Research NatCen Health Survey for England webpage and the University College London Health and Social Surveys Research Group UCL Health Survey for England webpage.

Changes to the HSE from 2015:
Users should note that from 2015 survey onwards, only the individual data file is available under standard End User Licence (EUL). The household data file is now only included in the Special Licence (SL) version, released from 2015 onwards. In addition, the SL individual file contains all the variables included in the HSE EUL dataset, plus others, including variables removed from the EUL version after the NHS Digital disclosure review. The SL HSE is subject to more restrictive access conditions than the EUL version (see Access information). Users are advised to obtain the EUL version to see if it meets their needs before considering an application for the SL version.

COVID-19 and the HSE:
Due to the COVID-19 pandemic, the HSE 2020 survey was stopped in March 2020 and never re-started. There was no publication that year. The survey resumed in 2021, albeit with an amended methodology. The full HSE resumed in 2022, with an extended fieldwork period. Due to this, the decision was taken not to progress with the 2023 survey, to maximise the 2022 survey response and enable more robust reporting of data. See the NHS Digital Health Survey for England - Health, social care and lifestyles webpage for more details.

The Health Survey for England, 2000 (HSE00) consisted of two samples. The general population sample was a national cross-section sample. Up to two children aged 2-15 years were interviewed in each household, as well as up to 10 adults aged 16 years and over. All private households in the general population sample were eligible for inclusion in the survey (up to a maximum of three households per address).

Running alongside the general population sample was a care homes sample, selected from the Laing and Bussion database. The sample contained nursing, residential, dual-registered and small residential homes and covered local authority, voluntary and privately-owned care homes. Up to six people aged 65 and over were selected for interview at each care home, and given a cognitive functioning test to see whether they were capable of being interviewed in person. Proxy interviews for those who were not capable of being interviewed were introduced in June 2000.

For the fourth edition (July 2011), the GHQ12 variables were amended to correct errors in the GHQ12 scores. See document 'Note about GHQ12 problems in HSE Data' for details.

The record contains 5 bundles of data described below: 1. Longitudinal cohort study: A longitudinal cohort study from 97 care homes around England, about 1483 residents living with dementia. 2. Follow-up qualitative study: A follow-up qualitative study as part of the randomised controlled trial of the acceptability of the MARQUE care home staff intervention to manage agitation and improve quality of life. 3. Qualitative interviews with family carers: Qualitative interviews with family carers of people with dementia who were currently in hospital or living in a care home. 4. Ethnographic observational data: Observational data of people with severe dementia who are either living in care homes or admitted to an acute medical ward. 5. Feasibility trial: Data from a feasibility trial of an intervention to improve the management of agitation in care home residents living with severe dementia.In the UK about 820,000 people live with dementia with numbers increasing rapidly as the population ages. The Government's "Challenge on Dementia" aims to drive improvements in health and care, create dementia friendly communities and improve research. Responding to this challenge, our MARQUE programme "Managing Agitation and Raising Quality of Life", aims to increase knowledge about dementia, agitation and personhood. We will use the programme to: -develop our theoretical knowledge of dementia, agitation, how people with dementia and their carers experience these and their relationship to citizenship and personhood. -reduce agitation in people with moderate and severe dementia and thus increase quality of life, through the known link between agitation and quality of life. -mentor existing and train new researchers, to build a legacy of trained dementia researchers. Agitation is common, occurring in about 50% of people with moderate or severe dementia every month, is distressing for them and for those around them. The symptoms include restlessness, pacing, shouting or even verbal or physical aggression and signify unmet need. The person with dementia may be in pain, hungry, thirsty, needing comfort or bored but unable to know or explain this. Our group (including Shirley Nurock, an Alzheimer's Society carer) has completed a funded literature review on interventions to reduce agitation. Our vision is to build on this evidence, advancing knowledge, including how to effectively implement findings to improve quality of life for those with dementia. It is a bold and ambitious proposal by a multi-professional team, our family carer partners and participating national and international groups. The team, who have previously worked together successfully, comprise social sciences, medicine, nursing and psychology. A DeNDRoN PPI focus group advised on and approved our proposal. We are partnered by Alzheimer's Society who are leading PPI, care home groups and voluntary and parliamentary groups. The research will involve observing and interviewing a wide range of people with dementia and those who care for them at home, in care homes and in hospitals (including end of life) in order to better understand how agitation is currently managed, barriers to good practice and how care could be improved. We will use this information (with our literature review findings) to develop, test and implement a manual to train staff about how best to reduce agitation and improve quality of life in care homes. It will be tested in a randomised controlled trial in 14 care homes. Our vision is to make this as central to care as good eating and hygiene. Our programme at home will lead to a pilot home intervention, including massage, found to be effective in our review. In addition, we will further develop another manual, to improve people with dementia's end of life for, including "terminal agitation" (comprising restlessness, anxiety, sleeplessness and shortness of breath around the time of dying). This manual will be piloted in four nursing homes (and a control home) and staff, family and residents asked whether it is helpful, practical and feasible. Our programme lasts 5 years but we expect carers and people with dementia to start to benefit from 2 years as we begin testing. It will improve our understanding of current practice and the challenges for family and paid carers. We will have programmes to put into practice across the UK to help manage agitation, including at home, in care homes and at the end of life. We will know what works, is cost effective and how to implement. This will improve quality of life for people with dementia and their carers wherever they live and will help guide research and practice. Our partners will then work with us to ensure national publicity and implementation. This will include incorporation into care home and hospital inductions and feedback to Care Quality Commission as a potential new care standard.

This dataset provides Census 2021 estimates that classify communal establishments in England and Wales by the type of communal establishment. The estimates are as at Census Day, 21 March 2021.

We have made changes to housing definitions since the 2011 Census. Take care if you compare Census 2021 results for this topic with those from the 2011 Census. Read more about this quality notice.

Area type

Census 2021 statistics are published for a number of different geographies. These can be large, for example the whole of England, or small, for example an output area (OA), the lowest level of geography for which statistics are produced.

For higher levels of geography, more detailed statistics can be produced. When a lower level of geography is used, such as output areas (which have a minimum of 100 persons), the statistics produced have less detail. This is to protect the confidentiality of people and ensure that individuals or their characteristics cannot be identified.

Coverage

Census 2021 statistics are published for the whole of England and Wales. Data are also available in these geographic types:

• country - for example, Wales
• region - for example, London
• local authority - for example, Cornwall
• health area – for example, Clinical Commissioning Group
• statistical area - for example, MSOA or LSOA

Communal establishment management and type

A managed communal establishment is a place that provides managed full-time or part-time supervision of residential accommodation.

Examples include:

• university halls of residence and boarding schools
• care homes, hospitals, hospices and maternity units
• hotels, guest houses, hostels and bed and breakfasts, all with residential accommodation for seven or more guests
• prisons and other secure facilities
• Single Living Accommodation (SLA) in military bases
• staff accommodation
• religious establishments

It does not include sheltered accommodation, serviced apartments, nurses’ accommodation, and houses rented to students by private landlords. These are households.

Long-term support needs met by admission to residential and nursing care homes, per 100,000 population (younger adults) (New definition from 2015/16) - (YTD Cumulative)

This is a monthly report on publicly funded community services using data from the Community Services Data Set (CSDS) reported in England for January 2019. The CSDS is a patient-level dataset providing information relating to publicly funded community services. These services can include health centres, schools, mental health trusts, and health visiting services. The data collected includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. It has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. Prior to October 2017, the predecessor Children and Young Peoples’ Health Services (CYPHS) Data Set collected data for children and young people aged 0-18. The CSDS superseded the CYPHS data set to allow adult community data to be submitted, expanding the scope of the existing data set by removing the 0-18 age restriction. The structure and content of the CSDS remains the same as the previous CYPHS data set. Further information about the CYPHS and related statistical reports is available in the related links below. References to children and young people covers records submitted for 0-18 year olds and references to adults covers records submitted for those aged over 18. Where analysis for both groups have been combined, this is referred to as all patients. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report. --------------------------------------------------------------------------------------------------------- We are reviewing our monthly and ad-hoc publications to ensure we are providing outputs that meet customer needs. We would be grateful if you could fill in the survey with your views. This survey will remain open until Friday 28th June 2019. Please take part using the link under the 'Related Links' section below. ---------------------------------------------------------------------------------------------------------

This dataset provides Census 2022 estimates for Communal establishment management and type in Scotland.

Communal establishment type

Communal establishments according to management and type. A communal establishment is an establishment providing managed residential accommodation.

Types of communal establishment include:

• Care homes (with or without nursing)
• Student halls of residence
• Defence establishments
• Prison service establishments

Details of classification can be found here

The quality assurance report can be found here