An estimation of the size of the self-funding population in care homes in England, using an experimental method. Weighted annual data broken down by geographic variables and care home characteristics.

In 2022, there were a total of over 17 thousand care homes across the United Kingdom. In the UK, roughly 70 percent of care homes are residential care homes with nursing homes accounted for three in ten care homes.

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

A list of care homes and nursing homes in Glasgow. Data shows care/nursing home names, addresses, postcodes, website, owner name, ownership type, service type, the number of registered beds, male or female only homes, and registered care categories.

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 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.

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

Following large transfers of Social Housing stock from the Public Sector over the past twenty years, Housing Associations are now the major provider of social housing in the UK. The largest own thousands of houses but at the other end of the scale are very small organisations such as ancient Almshouse Charities, each owning a cottage or two and overseen by a part time Chairman or a Secretary.

The legal status and ownership of Housing Associations and Trusts is often complex. In some instances, a single management team may manage two or more Housing Associations which are distinct legal entities, for example one Charitable and one non-Charitable.

Housing Associations vary in the scope of their operations. The largest may cater for all types of tenants requiring public housing, whilst many of the smaller ones may cater for specific groups, for example, elderly residents of a certain parish or retired miners. The YMCAs and Foyers provide housing accommodation for single young people whilst the Abbeyfield Societies are voluntary bodies providing sheltered accommodation or nursing homes for the elderly.

How the data is organised:

Parent/Subsidiary Organisations - Housing Associations are regularly merging and renaming themselves. They are often managed in complex groups, with parent and subsidiaries organisations, some sharing their corporate management. Where there is a shared management team across a group, we list these contacts at the group organisation and not against each subsidiary, in order to avoid duplication.

Principal Contact - One person at each Association is identified as the "Chief Officer". In larger organisations this will normally be the Chief Executive or Director. In smaller Associations, it may be the Secretary or occasionally the Chairman, as requested by each organisation.

Job Functions - In addition to the Chief Officers we list a large number of other management posts. Due to the variety of job titles among Associations, we categorise by job function to identify responsibilities.

Units Owned/Managed - As well as recording the organisational structures, we also record the number of "units" each organisation owns/manages. "Units" can be anything from a detached house to a flat or a room or bed space in a nursing home or hostel.

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.

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.

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).

Care Home Sites

Contains:

Care Home site data. In the ‘Care Homes’ files, field 15 identifies the owning organisation of each individual Care Home organisation - in other words, their ‘corporate parent’. In the case of single site organisations, where the one location effectively takes on the role of owning organisation or ‘HQ’ and

that of an operating site, the entity will be represented within both files.

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.

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.

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.

Number of council-supported permanent admissions of younger adults (aged 18-64) to residential and nursing care divided by the size of the younger adult population (aged 18-64) in the area multiplied by 100,000. People counted as a permanent admission include: Residents where the local authority makes any contribution to the costs of care, no matter how trivial the amount and irrespective of how the balance of these costs are metSupported residents in: Local authority-staffed care homes for residential careIndependent sector care homes for residential careRegistered care homes for nursing careResidential or nursing care which is of a permanent nature and where the intention is that the spell of care should not be ended by a set date. For people classified as permanent residents, the care home would be regarded as their normal place of residence. Where a person who is normally resident in a care home is temporarily absent at 31 March (e.g. through temporary hospitalisation) and the local authority is still providing financial support for that placement, the person should be included in the numerator. Trial periods in residential or nursing care homes where the intention is that the stay will become permanent should be counted as permanent. Whether a resident or admission is counted as permanent or temporary depends on the intention of the placement at the time of admission. The transition from ASC-CAR to SALT resulted in a change to which admissions were captured by this measure, and a change to the measure definition. 12-week disregards and full cost clients are now included, whereas previously they were excluded from the measure. Furthermore, whilst ASC-CAR recorded the number of people who were admitted to residential or nursing care during the year, the relevant SALT tables record the number of people for whom residential/nursing care was planned as a sequel to a request for support, a review, or short-term support to maximise independence Only covers people receiving partly or wholly supported care from their Local Authority and not wholly private, self-funded care. Data source: SALT.Data is Powered by LG Inform Plus and automatically checked for new data on the 3rd of each month.

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. ---------------------------------------------------------------------------------------------------------