20 datasets found
  1. Average length of stay in nursing homes in the U.S. 2014-2015 by ownership

    • statista.com
    Updated Dec 20, 2016
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    Statista (2016). Average length of stay in nursing homes in the U.S. 2014-2015 by ownership [Dataset]. https://www.statista.com/statistics/323219/average-length-of-stay-in-us-nursing-homes-by-ownership/
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    Dataset updated
    Dec 20, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic depicts the average total length of stay at U.S. nursing homes in 2014 and 2015, by status of ownership. In 2015, the average length of stay stood at 307 days at government owned nursing homes.

  2. Care Homes: Length Of Stay

    • find.data.gov.scot
    • statistics.gov.scot
    csv, nt
    Updated Sep 3, 2021
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    Public Health Scotland (2021). Care Homes: Length Of Stay [Dataset]. https://find.data.gov.scot/datasets/24862
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    nt(null MB), csv(null MB)Available download formats
    Dataset updated
    Sep 3, 2021
    Dataset provided by
    Public Health Scotland
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Scotland
    Description

    The percentage of long stay care home residents by length of their stay, as well as mean and median lengths of stay

  3. Length of stay in post-acute-care facilities among Medicare recipients 2012

    • statista.com
    Updated Jul 22, 2016
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    Statista (2016). Length of stay in post-acute-care facilities among Medicare recipients 2012 [Dataset]. https://www.statista.com/statistics/753079/medicare-recipients-average-length-of-stay-in-post-acute-care-facilities/
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    Dataset updated
    Jul 22, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This statistic displays the average number of days Medicare recipients stayed in post-acute-care facilities in fiscal year 2012. According to the data, Medicare recipients stayed an average of 41.5 days in skilled nursing facilities and 26.2 days in long-term acute-care hospitals.

  4. Length of stay in long-term care among loved ones of respondents in Canada...

    • statista.com
    Updated Jan 18, 2024
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    Statista (2024). Length of stay in long-term care among loved ones of respondents in Canada as of 2021 [Dataset]. https://www.statista.com/statistics/1441392/length-of-stay-in-long-term-care-among-respondents-canada/
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    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 15, 2021 - Mar 18, 2021
    Area covered
    Canada
    Description

    According to a 2021 survey, the majority of respondents in Canada said their loved ones stayed (currently or within the past year) in long-term care for less than three years. This statistic presents the length of stay of those who were currently in long-term care or were within the past year as reported by their loved ones in Canada as of 2021.

  5. Length of stay of residents of EHPAD France 2015, by category of institution...

    • statista.com
    Updated May 22, 2024
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    Statista (2024). Length of stay of residents of EHPAD France 2015, by category of institution [Dataset]. https://www.statista.com/statistics/770540/number-duration-of-stay-residents-ehpad-la-france/
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    Dataset updated
    May 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    France
    Description

    Here is a statistic that proposes to discover the average length of stay of residents who left nursing homes for dependent elderly (EHPAD) in France in 2015, by category of establishment. In that year, residents discharged from a non-hospital public nursing home stayed on average two years and ten months in such a facility. In all, the average length of stay of EHPAD residents was approximately two and a half years.

  6. Life expectancy in care homes, England and Wales

    • cy.ons.gov.uk
    • ons.gov.uk
    xlsx
    Updated Mar 16, 2023
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    Office for National Statistics (2023). Life expectancy in care homes, England and Wales [Dataset]. https://cy.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/lifeexpectancies/datasets/lifeexpectancyincarehomesenglandandwales
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    xlsxAvailable download formats
    Dataset updated
    Mar 16, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England, Wales
    Description

    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.

  7. Largest nursing home chains in the U.S. by staffed beds 2015

    • statista.com
    Updated Dec 20, 2016
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    Statista (2016). Largest nursing home chains in the U.S. by staffed beds 2015 [Dataset]. https://www.statista.com/statistics/323210/top-nursing-home-chains-by-number-of-licensed-nursing-home-beds/
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    Dataset updated
    Dec 20, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United States
    Description

    This statistic shows the leading 15 nursing home chains in the United States based on number of staffed beds in 2015. Ensign Group based in Mission Viejo, California had 13,803 staffed beds nationwide as of year-end 2015. In that year Genesis HealthCare had the most nursing homes among the leading nursing home chains in the U.S. with 419 such establishments. In 2015, the average length of stay at for-profit nursing homes was 172 days, compared to 307 days at government owned nursing homes.

  8. g

    Care Homes: Average Age of Residents

    • statistics.gov.scot
    • find.data.gov.scot
    Updated Sep 3, 2021
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    (2021). Care Homes: Average Age of Residents [Dataset]. https://statistics.gov.scot/data/care-homes-average-age-of-residents
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    Dataset updated
    Sep 3, 2021
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The mean and median age of long stay residents, as well as at the time of admission and discharge, by main client group.

  9. Residential Nursing Care in the UK - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Aug 25, 2024
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    IBISWorld (2024). Residential Nursing Care in the UK - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-kingdom/market-research-reports/residential-nursing-care-industry/
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    Dataset updated
    Aug 25, 2024
    Dataset authored and provided by
    IBISWorld
    Time period covered
    2015 - 2030
    Area covered
    United Kingdom
    Description

    The UK has an ageing population – for the Residential Nursing Care industry, this is an opportunity for growth with demand for more beds expanding. Homes have upped their average weekly fees, contributing to revenue. High inflation over the two years through 2023-24 has raised fees further. However, state involvement has limited growth, which has kept care fees artificially low for many nursing home residents. Residential nursing care revenue is anticipated to remain stable at £9.3 billion over the five years through 2024-25, including revenue growth of 3% in 2024-25. Weak government funding and wage cost pressures caused by the rising National Living Wage (which will increase to £12.21 in April 2025) have constrained profitability. Labour supply shortages caused by high turnover rates have been of particular concern. According to Skills For Care, the job vacancy rate in 2023-24 in the adult care sector was 8.3%, way above the average rate in the UK economy. That being said, the vacancy rate is declining thanks mainly to a government-driven recruitment drive to attract overseas workers, which has been helped by reducing visa requirements. Rising real household disposable income had supported more self-funded residents, aiding residential nursing care. However, data from the ONS revealed the percentage of self-funded residents fell from 36.7% in 2019-20 to 34.9% over the year through February 2022. In the year through February 2023, this has risen again to 37% of the 372,035 care home residents. Families are still struggling with the rising cost of living, reducing the number of people able to afford private care home costs, which has somewhat constrained revenue growth. Over the five years through 2029-30, residential and nursing care revenue is estimated to expand at a compound annual rate of 4.1% to £11.4 billion. Robust demand from an ageing population will support industry growth. However, plans for adult social care reforms are to be released in two stages (the first in 2026 and the second in 2028), which has caused greater uncertainty for the sector's future. Staff shortage concerns will continue to plague nursing care.

  10. b

    Long-term support needs of adults (65+) met by admission to residential and...

    • cityobservatory.birmingham.gov.uk
    csv, excel, geojson +1
    Updated Mar 3, 2025
    + more versions
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    (2025). Long-term support needs of adults (65+) met by admission to residential and nursing care homes per 100,000 - WMCA [Dataset]. https://cityobservatory.birmingham.gov.uk/explore/dataset/long-term-support-needs-of-adults-65-by-admission-residential-nursing-care-homes-per-100k-wmca/
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    excel, geojson, csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 2025
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Number of council-supported permanent admissions of adults aged 65 and over to residential and nursing care divided by the size of the adult population (aged 65 and over) 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.

  11. U.S. hospice patients by lifetime length of stay 2022

    • statista.com
    Updated Jan 14, 2025
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    U.S. hospice patients by lifetime length of stay 2022 [Dataset]. https://www.statista.com/statistics/339865/share-of-us-hospice-patients-by-length-of-service/
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    Dataset updated
    Jan 14, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United States
    Description

    In the United States, one in four patients were enrolled a total of 5 days or less in hospice before they passed away*. Yet one in ten received care for more than 275 days across their lifetime. Hospice care involves caring for those who are terminally ill. Such care usually does not include treatment but focuses instead on making the end of life as comfortable as possible. Hospice teams can include nurses, home health aides, social workers and physicians. Hospice providers Hospice care can be provided at the patient’s home or in a facility, such as a nursing home, assisted living, hospital or hospice care center. In 2022, there were around 5,899 Medicare certified hospices in the United States. The large majority of theses are freestanding independent hospices, while a much smaller portion are part of a hospital system or part of a home health agency. Hospice patients In 2022, there were around 1.72 million hospice patients in the U.S. Female Medicare beneficiaries were more likely than male to use hospice services. Expectedly, older adults (over 84 years) were more likely to be a hospice patient than younger peers. The most common diagnoses were neurological and cancer

  12. f

    table1_Relationships Between Age, Frailty, Length of Care Home Residence and...

    • figshare.com
    docx
    Updated Jun 3, 2023
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    Vivian M. Castro-Herrera; Mark Lown; Helena L. Fisk; Eleri Owen-Jones; Mandy Lau; Rachel Lowe; Kerenza Hood; David Gillespie; F. D. Richard Hobbs; Paul Little; Christopher C. Butler; Elizabeth A. Miles; Philip C. Calder (2023). table1_Relationships Between Age, Frailty, Length of Care Home Residence and Biomarkers of Immunity and Inflammation in Older Care Home Residents in the United Kingdom.docx [Dataset]. http://doi.org/10.3389/fragi.2021.599084.s001
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    docxAvailable download formats
    Dataset updated
    Jun 3, 2023
    Dataset provided by
    Frontiers
    Authors
    Vivian M. Castro-Herrera; Mark Lown; Helena L. Fisk; Eleri Owen-Jones; Mandy Lau; Rachel Lowe; Kerenza Hood; David Gillespie; F. D. Richard Hobbs; Paul Little; Christopher C. Butler; Elizabeth A. Miles; Philip C. Calder
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United Kingdom
    Description

    Aging is associated with changes to the immune system, collectively termed immunosenescence and inflammageing. However, the relationships among age, frailty, and immune parameters in older people resident in care homes are not well described. We assessed immune and inflammatory parameters in 184 United Kingdom care home residents aged over 65 years and how they relate to age, frailty index, and length of care home residence. Linear regression was used to identify the independent contribution of age, frailty, and length of care home residence to the various immune parameters as dependent variables. Participants had a mean age (±SD) of 85.3 ± 7.5 years, had been residing in the care home for a mean (±SD) of 1.9 ± 2.2 years at the time of study commencement, and 40.7% were severely frail. Length of care home residence and frailty index were correlated but age and frailty index and age and length of care home residence were not significantly correlated. All components of the full blood count, apart from total lymphocytes, were within the reference range; 31% of participants had blood lymphocyte numbers below the lower value of the reference range. Among the components of the full blood count, platelet numbers were positively associated with frailty index. Amongst plasma inflammatory markers, C-reactive protein (CRP), interleukin-1 receptor antagonist (IL-1ra), soluble E-selectin and interferon gamma-induced protein 10 (IP-10) were positively associated with frailty. Plasma soluble vascular cell adhesion molecule 1 (sVCAM-1), IP-10 and tumor necrosis factor receptor II (TNFRII) were positively associated with age. Plasma monocyte chemoattractant protein 1 was positively associated with length of care home residence. Frailty was an independent predictor of platelet numbers, plasma CRP, IL-1ra, IP-10, and sE-selectin. Age was an independent predictor of activated monocytes and plasma IP-10, TNFRII and sVCAM-1. Length of care home residence was an independent predictor of plasma MCP-1. This study concludes that there are independent links between increased frailty and inflammation and between increased age and inflammation amongst older people resident in care homes in the United Kingdom. Since, inflammation is known to contribute to morbidity and mortality in older people, the causes and consequences of inflammation in this population should be further explored.

  13. c

    OECD Health Statistics, 1970-2017

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
    + more versions
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    Organisation for Economic Co-operation and Development (2024). OECD Health Statistics, 1970-2017 [Dataset]. http://doi.org/10.5255/UKDA-SN-7596-3
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    Dataset updated
    Nov 28, 2024
    Authors
    Organisation for Economic Co-operation and Development
    Area covered
    United Kingdom
    Variables measured
    Administrative units (geographical/political), Cross-national, National
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    The Organisation for Economic Co-operation and Development (OECD) Health Statistics offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems. Within UKDS.Stat the data are presented in the following databases:

    Health status

    This datasets presents internationally comparable statistics on morbidity and mortality with variables such as life expectancy, causes of mortality, maternal and infant mortality, potential years of life lost, perceived health status, infant health, dental health, communicable diseases, cancer, injuries, absence from work due to illness. The annual data begins in 2000.

    Non-medical determinants of health

    This dataset examines the non-medical determinants of health by comparing food, alcohol, tobacco consumption and body weight amongst countries. The data are expressed in different measures such as calories, grammes, kilo, gender, population. The data begins in 1960.

    Healthcare resources

    This dataset includes comparative tables analyzing various health care resources such as total health and social employment, physicians by age, gender, categories, midwives, nurses, caring personnel, personal care workers, dentists, pharmacists, physiotherapists, hospital employment, graduates, remuneration of health professionals, hospitals, hospital beds, medical technology with their respective subsets. The statistics are expressed in different units of measure such as number of persons, salaried, self-employed, per population. The annual data begins in 1960.

    Healthcare utilisation

    This dataset includes statistics comparing different countries’ level of health care utilisation in terms of prevention, immunisation, screening, diagnostics exams, consultations, in-patient utilisation, average length of stay, diagnostic categories, acute care, in-patient care, discharge rates, transplants, dialyses, ICD-9-CM. The data is comparable with respect to units of measures such as days, percentages, population, number per capita, procedures, and available beds.

    Health Care Quality Indicators

    This dataset includes comparative tables analyzing various health care quality indicators such as cancer care, care for acute exacerbation of chronic conditions, care for chronic conditions and care for mental disorders. The annual data begins in 1995.

    Pharmaceutical market

    This dataset focuses on the pharmaceutical market comparing countries in terms of pharmaceutical consumption, drugs, pharmaceutical sales, pharmaceutical market, revenues, statistics. The annual data begins in 1960.

    Long-term care resources and utilisation

    This dataset provides statistics comparing long-term care resources and utilisation by country in terms of workers, beds in nursing and residential care facilities and care recipients. In this table data is expressed in different measures such as gender, age and population. The annual data begins in 1960.

    Health expenditure and financing

    This dataset compares countries in terms of their current and total expenditures on health by comparing how they allocate their budget with respect to different health care functions while looking at different financing agents and providers. The data covers the years starting from 1960 extending until 2010. The countries covered are Australia, Austria, Belgium, Canada, Chile, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom, and United States.

    Social protection

    This dataset introduces the different health care coverage systems such as the government/social health insurance and private health insurance. The statistics are expressed in percentage of the population covered or number of persons. The annual data begins in 1960.

    Demographic references

    This dataset provides statistics regarding general demographic references in terms of population, age structure, gender, but also in term of labour force. The annual data begins in 1960.

    Economic references

    This dataset presents main economic indicators such as GDP and Purchasing power parities (PPP) and compares countries in terms of those macroeconomic references as well as currency rates, average annual wages. The annual data begins in 1960.

    These data were first provided by the UK Data Service in November...

  14. Average length of stay in hospitals Japan 2023, by patient type

    • statista.com
    Updated Jan 2, 2025
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    Statista (2025). Average length of stay in hospitals Japan 2023, by patient type [Dataset]. https://www.statista.com/statistics/1122193/japan-average-length-stay-hospitals-by-type-of-patients/
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    Dataset updated
    Jan 2, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2023
    Area covered
    Japan
    Description

    In 2023, a hospital stay of patients requiring long-term nursing care in Japan had an average length of 295.7 days, while patients with common diseases stayed in hospitals for 15.7 days on average. That year, the average length of stay in hospitals of all patients amounted to 26.3 days.

  15. f

    Sample characteristics.

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Sarah L. Mawhorter; Rachel Z. Wilkie; Jennifer A. Ailshire (2023). Sample characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0282329.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Sarah L. Mawhorter; Rachel Z. Wilkie; Jennifer A. Ailshire
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Independent living can become challenging for people experiencing cognitive decline. With reduced functioning and greater care needs, many people with dementia (PWD) may need to move to another home with better safety features, move to live closer to or with relatives who can provide care, or enter a nursing home. Housing plays a key role in supporting quality of life for both PWD and their caregivers, so the ability to move when needed is crucial for their well-being. Yet the substantial costs of moving, housing, and care mean that PWD with limited financial resources may be unable to afford moving, exacerbating inequalities between more and less advantaged PWD. Emerging qualitative research considers the housing choices of PWD and their caregivers, yet little is known on a broader scale about the housing transitions PWD actually make over the course of cognitive decline. Prior quantitative research focuses specifically on nursing home admissions; questions remain about how often PWD move to another home or move in with relatives. This study investigates socioeconomic and racial/ethnic disparities in the timing and type of housing transitions among PWD in the United States, using Health and Retirement study data from 2002 through 2016. We find that over half of PWD move in the years around dementia onset (28% move once, and 28% move twice or more) while 44% remain in place. Examining various types of moves, 35% move to another home, 32% move into nursing homes, and 11% move in with relatives. We find disparities by educational attainment and race/ethnicity: more advantaged PWD are more likely to move to another home and more likely to enter a nursing home than less advantaged groups. This highlights the importance of providing support for PWD and their families to transition into different living arrangements as their housing needs change.

  16. C

    Health, lifestyle, use and supply of care, causes of death; key figures

    • ckan.mobidatalab.eu
    Updated Jul 13, 2023
    + more versions
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    OverheidNl (2023). Health, lifestyle, use and supply of care, causes of death; key figures [Dataset]. https://ckan.mobidatalab.eu/dataset/678-gezondheid-leefstijl-zorggebruik-en-aanbod-doodsoorzaken-kerncijfers
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    http://publications.europa.eu/resource/authority/file-type/atom, http://publications.europa.eu/resource/authority/file-type/jsonAvailable download formats
    Dataset updated
    Jul 13, 2023
    Dataset provided by
    OverheidNl
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This table provides an up-to-date overview of the most important figures available on StatLine in the broad field of health and care. All figures are taken directly from other tables on StatLine or obtained through a simple conversion. The original tables from which the figures originate offer possibilities for a breakdown by characteristics of persons or other units. The moment at which new figures become available is not the same for all series of figures. In the series of numbers about the number of certificate holders/graduates, reporting year t shows the number of people who obtained a diploma in school or academic year t-1 to t. Data available from: 2001 Status of the figures: Most figures are final. The last added year is provisional for: - causes of death; - perinatal mortality at a gestational age of 22 weeks or more; - GP patients by diagnosis; - hospital admissions by diagnosis; - average length of stay in hospital hospital; - AWBZ/Wlz-financed care with accommodation; - youth Services; - doctors and nurses working in healthcare; - MBO graduates; - graduate doctors and nurses; - institutions: profitability and yield per working year. The last two years are provisional for: - dispensed medicines; - persons working in health and welfare care; - persons working in healthcare. For expenditure on care, the figures for 2022 are provisional and the figures for 2020 and 2021 are more provisional; the other figures are final. Changes as of July 7, 2023: New figures have been added to existing series for: - causes of death; - life expectancy; - perceived health; - GP patients by diagnosis; - hospital admissions by diagnosis; - sick leave; - average length of stay in hospital hospital; - contacts with care providers; - number of people aged 80+; - youth Services; - smoking, alcohol consumption, exercise; - overweight; - high bloodpressure; - doctors and nurses working in healthcare; - persons working in health and welfare care; - persons working in healthcare; - MBO graduates; - graduate doctors and nurses; - expenditure on care; - average distance to facilities. The series 'graduated doctors and nurses' have been replaced from 2016 for dozens of rounded figures. When will new numbers come out? The most recent figures available at that time will be published in December 2023.

  17. c

    Retirement Home Services Market is Growing at Compound Annual Growth Rate...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jan 15, 2025
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    Cognitive Market Research (2025). Retirement Home Services Market is Growing at Compound Annual Growth Rate (CAGR) of 3.90% from 2023 to 2030. [Dataset]. https://www.cognitivemarketresearch.com/retirement-home-services-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Retirement Home Services market is growing at a compound annual growth rate (CAGR) of 3.90% from 2023 to 2030. Rising Global Life Expectancy Is Driving The Growth of the Market

    People are living longer lives than they were a few decades ago. This is due to low rates of cardiovascular and infectious disease mortality. The majority of deaths in the world were caused by three primary health conditions: ischemic heart disease, chronic obstructive pulmonary disease (COPD), and stroke.

    Since the 1990s, the average number of fatalities has grown. The number of people dying from illnesses such as heart disease has increased as the world population has grown.

    The decrease in age-specific mortality rates for various illnesses is evidence of the healthcare industry's success.Life expectancy increases as a result of breakthroughs in public healthcare facilities and significant developments in the healthcare business, as well as higher living standards, increased nutrition, better education, and lifestyle changes. An individual's global average age is mostly determined by living conditions and place of residence. These factors will boost market growth during the forecast period.

    Technological Developments Will Boost Market Expansion
    

    During the forecast period, technological advancements in long-term healthcare are anticipated to propel market expansion. This is brought on by the increase in Internet usage, which has sparked the development of online marketplaces, mobile apps, and mHealth. There is a rising need for support services including smartphone apps, trackers, wearables, communication tools, and smart alarms. These tools allow nurses and caregivers to monitor, document, and observe patients as well as connect with medical specialists.The use of computer and mobile phone-based patient data management among these technologies is spreading throughout long-term care.

    Apps that create electronic health records (EHRs) and mobile health records (MHRs) are now available, making it simpler for consumers and healthcare professionals to access and exchange health information.

    (Source:health-e.in/blog/phr-apps-india/)

    The main technological advancements are mHealth and mobile-based healthcare applications that produce electronic health records (EHRs) and mobile health records (MHRs). When there are medical emergencies, other technologies, like alarm integration methods, are employed to notify service providers and caregivers. As they lessen the dependency on carers, smart houses are becoming more popular in industrialized nations. Thus, the market's expansion over the course of the forecast period will be fueled by the rising acceptance of such cutting-edge technical solutions.

    The Aspects of the Retirement Home Services Market are Limitingits Growth

    Negative Reputation Of Retirement Homes Is A Significant Barrier To Market Growth
    

    Though living in the comfort of one's own home is always preferable, living in an old age home has its advantages. However, just a few old age facilities provide the bare minimum of quality for a comfortable stay. The cost of services supplied by old age homes is heavily influenced by the quality of those services. Many individuals enroll in retirement homes that lack basic infrastructure and services because they cannot afford the hefty service fees. Residents at nursing facilities are rarely given privacy. The environment in certain nursing facilities frequently results in despair, boredom, neglect, and, in some cases, abuse.

    Impact of COVID-19 on The Retirement Home Services Market

    Due to the risk of getting the virus in communal living arrangements, the pandemic has reduced demand for retirement homes. However, the epidemic has increased demand for retirement homes that provide specialized nursing care services. Retirement homes that provide specialized services for nursing care are growing more popular as individuals seek a safe and comfortable place to live. Introduction of Retirement Home Services

    A retirement home is a multi-residence living complex designed for the elderly, sometimes known as an old people's home or old age home. Everyone or a couple resides in a room or suite of rooms that is akin to an apartment. There are more facilities in the building. This will include places for gathering, eating, playing, and receiving some kind of healt...

  18. Annual costs of long-term care services in the U.S. in 2023, by type

    • statista.com
    Updated Nov 12, 2024
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    Statista (2024). Annual costs of long-term care services in the U.S. in 2023, by type [Dataset]. https://www.statista.com/statistics/310446/annual-median-rate-of-long-term-care-services-in-the-us/
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    Dataset updated
    Nov 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2023
    Area covered
    United States
    Description

    In 2023, the annual median cost for long-term care in the United States ranged from 24,700 to 116,800 U.S. dollars, depending on the type of service. Long-term health care can be provided in various environments such as nursing homes, community and assisted living facilities, or at-home care. Nursing homes, community, and assisted living facilities in the U.S. The most expensive long-term care services in the U.S. was nursing homes. In the U.S., the annual cost for a semi-private room in a nursing home stood at 104,025 U.S. dollars. With an annual cost of 54,200 U.S dollars, a single bedroom in an assisted living facility was cheaper than a nursing home. However, from one state to another, the cost of a room in a nursing home varied greatly. For instance, a semi-private room in an Alaskan nursing home nearly reached 224,500 U.S. dollars in 2023. Home care services Instead of moving into a nursing home or retirement residence, care at home is often the more preferred option. Home care services typically include either home health aide or homemaker services. In 2023, the annual cost of homemaker services reached an average of 68,640 U.S. dollars, whereas the cost for home health aide services was roughly 75,500 U.S. dollars. As with nursing homes, the cost for in-home care services such as homemaker services varied greatly depending on the State. In Washington, the annual cost for homemaker services reached 99,528 U.S. dollars in 2023.

  19. Age of residents in continuing care facilities Canada 2023-2024, by province...

    • statista.com
    Updated Dec 11, 2024
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    Statista (2024). Age of residents in continuing care facilities Canada 2023-2024, by province [Dataset]. https://www.statista.com/statistics/1440993/continuing-care-facility-residents-age-canada-by-province/
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    Dataset updated
    Dec 11, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In fiscal year 2023-2024, the ages of residents in continuing care facilities (usually long-term care facilities in residential or hospital-based settings) in Canada averaged to around 83 years. Residents in hospital-based continuing care were slightly younger than those in residential facilities, with residents in Manitoba having the highest average age.

  20. Number of hospital beds in the United Kingdom (UK) 2000-2022

    • statista.com
    • flwrdeptvarieties.store
    Updated Apr 25, 2024
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    Statista (2024). Number of hospital beds in the United Kingdom (UK) 2000-2022 [Dataset]. https://www.statista.com/statistics/473264/number-of-hospital-beds-in-the-united-kingdom-uk/
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    Dataset updated
    Apr 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    The number of hospital beds in the United Kingdom has undergone a decline since the year 2000. Whereas in 2000, there were around 240 thousand beds in the UK, by 2020 this figure was approximately 163 thousand. This means over this period there were over 80 thousand fewer hospital beds in the UK. However in the recent years since 2020, the number of hospital beds have been increasing, the first time in the recorded time period.

    Fewer beds but admissions are still high

    There were almost 16.4 million admissions to hospital between April 2022 to March 2023 in England. The number of admissions has recovered somewhat since the drop in year 2020/21. The busiest hospital trust in England by admissions in the year 2022/23 was the University Hospitals Birmingham Foundation Trust with over 333 thousand admissions. The average length of stay in hospitals in the UK in 2021 for acute care was seven days.

    Accident and Emergency

    In the first quarter of 2023/24, A&E in England received around 6.5 million attendees. The number of attendances has been creeping upwards since 2012. Around 2.4 percent of people attending A&E in the last year were diagnosed with an upper respiratory condition, followed by 1.8 percent with a lower respiratory tract infection.

  21. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2016). Average length of stay in nursing homes in the U.S. 2014-2015 by ownership [Dataset]. https://www.statista.com/statistics/323219/average-length-of-stay-in-us-nursing-homes-by-ownership/
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Average length of stay in nursing homes in the U.S. 2014-2015 by ownership

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 20, 2016
Dataset authored and provided by
Statistahttp://statista.com/
Area covered
United States
Description

This statistic depicts the average total length of stay at U.S. nursing homes in 2014 and 2015, by status of ownership. In 2015, the average length of stay stood at 307 days at government owned nursing homes.

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