50 datasets found
  1. Average weekly cost of care homes United Kingdom 2022, by region

    • statista.com
    Updated Dec 15, 2022
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    Statista (2022). Average weekly cost of care homes United Kingdom 2022, by region [Dataset]. https://www.statista.com/statistics/860519/nursing-home-residential-care-home-fees-united-kingdom-by-region/
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    Dataset updated
    Dec 15, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United Kingdom
    Description

    In 2022, residential care in the United Kingdom was most expensive in the South East, Scotland, and London with weekly fees of over *** British pounds. Care homes vary in the type of services they offer to elderly people. Residential care homes, for instance, are suitable for adults who are mostly independent but could use some assistance in day to day living such as dressing, washing, doing laundry or taking medicine. Nursing homes, on the other hand, offer 24-hour medical supervision. An ageing population increases the importance of retirement living properties and services that suit the needs of residents.

  2. Life expectancy in care homes, England and Wales

    • ons.gov.uk
    • cy.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://www.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

    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.

  3. Age of residents in continuing care facilities Canada 2024/25, by province

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Age of residents in continuing care facilities Canada 2024/25, by province [Dataset]. https://www.statista.com/statistics/1440993/continuing-care-facility-residents-age-canada-by-province/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In fiscal year 2024/25, 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 (not including hospital-based). Residents in hospital-based continuing care were slightly younger than those in residential facilities, with residents in Manitoba having the highest average age at 84 years.

  4. Nursing and residential care facilities, residents by gender and age by...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Nov 2, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Nursing and residential care facilities, residents by gender and age by industry, annual [Dataset]. http://doi.org/10.25318/1310082901-eng
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    Dataset updated
    Nov 2, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Totals and percentages of nursing and residential care facility residents by age group and gender, by 2017 NAICS (North American Industry Classification System), for Canada, provinces and territories, annual.

  5. U.S. number of residents in certified nursing facilities as of 2024, by...

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). U.S. number of residents in certified nursing facilities as of 2024, by state [Dataset]. https://www.statista.com/statistics/1168843/number-residents-certified-nursing-facilities-state/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    United States
    Description

    How many people live in nursing homes? As of 2024, there were around 1.2 million residents in nursing homes across the United States. The states with the highest numbers of residents in certified nursing facilities were, by far, California and New York, with over 99,000 and 98,000 residents, respectively. On the other hand, Alaska had the lowest number of nursing home residents. Occupancy rates and recovery The COVID-19 pandemic significantly impacted nursing home occupancy rates nationwide. Prior to the pandemic, the median occupancy rate for skilled nursing facilities hovered around 80 percent. However, this figure plummeted to 67 percent by 2021. As of July 2024, occupancy rates for certified nursing homes have begun to recover, reaching 77 percent. This gradual increase suggests a slow but steady return to pre-pandemic levels. Quality concerns and financial penalties Despite the crucial role nursing homes play, quality issues persist in some facilities. In 2024, Aspen Point Health and Rehabilitation in Missouri faced 208 substantiated complaints, the highest number nationwide. Financial penalties for serious violations can be severe, as evidenced by the 1.41 million U.S. dollar fine imposed on Siesta Key Health And Rehabilitation Center in Florida over a three-year period. These cases underscore the ongoing challenges in maintaining high standards of care across the industry.

  6. Care Homes: Average Age of Residents

    • dtechtive.com
    • find.data.gov.scot
    nt
    Updated Sep 3, 2021
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    Public Health Scotland (2021). Care Homes: Average Age of Residents [Dataset]. https://dtechtive.com/datasets/24880
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    nt(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 mean and median age of long stay residents, as well as at the time of admission and discharge, by main client group.

  7. Residents’ life stories in nursing homes.xlsx

    • figshare.com
    xlsx
    Updated Jun 24, 2020
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    Adeline Muller (2020). Residents’ life stories in nursing homes.xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.12547640.v2
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    xlsxAvailable download formats
    Dataset updated
    Jun 24, 2020
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Adeline Muller
    License

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

    Description

    The aim of the study is to determine the impact of life story on staff members before implementation of care for residents with dementia in nursing homes. We realized a cross-sectional study with an online survey based on two fictive clinical vignettes: one described a resident with typical clinical elements (i.e. basic vignette) while the other contained typical clinical elements and life story information (i.e. enriched vignette). The two vignettes were visually similar and the order in which vignettes were presented (basic vignette then enriched; order 1 - enriched vignette, then basic; order 2) to staff members was counterbalanced (all staff members considered the two vignettes). After reading each vignette, staff members had to answer the following questions using a Visual Analogue Scale (VAS; a cursor is placed on a line between two extremes, for example “not at all” and “quite”): (1) Useful information: do you think you have all the useful information you need to adequately support this person? (from "not at all" to "quite"); (2) Confidence: to what extent would you feel confident in caring for this person in the NH where you work? (from "not at all" to "quite"); (3) Empathy: how much empathy do you feel for this person? (from "not at all" to "very much”). The notion of empathy refers to the ability to feel another person’s emotions, feelings and experiences; (4) Notion of sympathy: how do you perceive this person? (from “unsympathetic” to “sympathetic”); (5) Notion of independence: how do you perceive this person? (from “dependent” to “independent”); and (6) Workload: how would you estimate the workload that this person would need from you? (from “permanent” to “null”). For each question, a score ranging between 0 and 100 was obtained. The closer the score was to 100, the more “positive” it was.

  8. Residence capacity in nursing homes for the elderly in Japan 2014-2023, by...

    • statista.com
    Updated Oct 29, 2025
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    Statista (2025). Residence capacity in nursing homes for the elderly in Japan 2014-2023, by type [Dataset]. https://www.statista.com/statistics/667115/japan-senior-homes-resident-numbers/
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    Dataset updated
    Oct 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Japan
    Description

    In 2023, the number of residents in welfare facilities for the elderly requiring long-term care amounted to approximately *******. At the same time, there were around ****** residents in moderate-fee homes.

  9. Distribution of aged care consumers in Australia FY 2021, by service type

    • statista.com
    Updated Nov 24, 2025
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    Statista (2025). Distribution of aged care consumers in Australia FY 2021, by service type [Dataset]. https://www.statista.com/statistics/1100897/australia-distribution-of-aged-care-consumers-by-service-type/
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    Dataset updated
    Nov 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Australia
    Description

    Like most OECD countries, Australia’s population is ageing and will require an increasingly robust aged care sector to support the growing number of people aged 65 and over. With this said, the vast majority of aged care consumers require only minimal support through basic home support services. In financial year 2021, home support clients accounted for ** percent of over *** million aged care consumers. This was more than ***** times the number of people being cared for in residential aged care facilities. In total, the Australian government contributed **** billion Australian dollars to aged care in financial year 2021.

    Three levels of support

    The Australian aged care system is divided into ***** fundamental levels of care based on the intensity of care required. Home support is the most basic care type and includes domestic assistance, meals on wheels, community transport, and social support. Home care packages also provide care in the home through a coordinated service package. Residential care is the highest care level and by far the most expensive to fund, with the Australian government paying on average ****** Australian dollars per person in care in 2017. Naturally, as the average age of the population increases, it is expected that the cost of aged care will continue to rise as well.

    Nursing homes

    Aged care homes in Australia are run by a combination of for-profit, not-for-profit, state, and community providers. For-profit providers represent the largest share of the residential care market, holding over ** percent of approved residential care places. This was more than the total share of homes run by religious and charitable organizations.

  10. 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.

  11. Data from: Mild cognitive impairment in older adults: Analysis of some...

    • scielo.figshare.com
    xls
    Updated Jun 2, 2023
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    Maria dos Anjos Dixe; Mônica Braúna; Timóteo Camacho; Filipa Couto; João Apóstolo (2023). Mild cognitive impairment in older adults: Analysis of some factors [Dataset]. http://doi.org/10.6084/m9.figshare.11997231.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELOhttp://www.scielo.org/
    Authors
    Maria dos Anjos Dixe; Mônica Braúna; Timóteo Camacho; Filipa Couto; João Apóstolo
    License

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

    Description

    ABSTRACT Mild cognitive decline is a feared aspect of aging associated with frailty experienced by individuals. Objective: To determine the number of elderly people with mild cognitive impairment (MCI); to determine the relationship of sociodemographic and clinical variables by group of individuals with or without MCI and to determine the relationship between MCI assessed by 6CIT and the cognitive domains assessed by the MoCA. Methods: A correlational study was conducted of 44 elderly individuals attending a day-care center or residing in a care home, with an average age of 88.9 ± 8.8 years who answered a structured interview collecting sociodemographic and clinical data. Results: The elderly living at home had higher average body mass index and number of pathologies than those living in an institution for the elderly (p < 0.01). 63.6% of the elderly did not have MCI, and no differences were found between residential settings. The comparison between 6CIT and MoCA yielded differences in the general domain and in visual, attention, abstraction and, orientation subdomains. Conclusion: Cognitive stimulation interventions should be optimized according to the residential setting at the level of comorbidities and nutrition.

  12. Comparison of specialised ambulatory palliative care by patients in nursing...

    • plos.figshare.com
    xls
    Updated Feb 14, 2025
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    Laura Rehner; Kilson Moon; Wolfgang Hoffmann; Neeltje van den Berg (2025). Comparison of specialised ambulatory palliative care by patients in nursing homes with patients in private households based on the assumption, that persons who are likely to die in the next 12 months are potential patients for palliative care (for the year 2017). [Dataset]. http://doi.org/10.1371/journal.pone.0319001.t004
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    xlsAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laura Rehner; Kilson Moon; Wolfgang Hoffmann; Neeltje van den Berg
    License

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

    Description

    Comparison of specialised ambulatory palliative care by patients in nursing homes with patients in private households based on the assumption, that persons who are likely to die in the next 12 months are potential patients for palliative care (for the year 2017).

  13. f

    Specialised ambulatory palliative care in nursing homes in...

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Feb 14, 2025
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    Laura Rehner; Kilson Moon; Wolfgang Hoffmann; Neeltje van den Berg (2025). Specialised ambulatory palliative care in nursing homes in Mecklenburg-Western Pomerania (2015–2017). [Dataset]. http://doi.org/10.1371/journal.pone.0319001.t002
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    xlsAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Laura Rehner; Kilson Moon; Wolfgang Hoffmann; Neeltje van den Berg
    License

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

    Area covered
    Mecklenburg-Vorpommern
    Description

    Specialised ambulatory palliative care in nursing homes in Mecklenburg-Western Pomerania (2015–2017).

  14. Elderly care recipients and potential informal recipients in Europe 2020

    • statista.com
    Updated May 15, 2020
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    Statista (2020). Elderly care recipients and potential informal recipients in Europe 2020 [Dataset]. https://www.statista.com/statistics/1237241/elderly-care-recipients-and-potential-informal-recipients-in-europe/
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    Dataset updated
    May 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Europe
    Description

    Many western European countries rely heavily on home care or informal methods to care for the elderly. In 2020, nearly ************* German elderly people potentially received informal care, while ************ received home care, and *********** were formally cared for by an institution. Elderly care in Italy and France also relied heavily on informal care. Why does Europe rely on informal care? Informal care is typically delivered within families and households and while difficult to quantify is very common. Indeed, an important share of healthcare expenditure is spent on long-term residential care in European countries. Therefore, some governments encourage and incentivize informal care to reduce healthcare expenditure by the state. For instance, Italian workers are granted up to ** days of paid leave per year to provide care to dependent relatives, while French employees are entitled to ** days of paid leave. In addition, the extent of informal care can also be the result of economic factors. In 2019, the average monthly cost of care homes reached ************** euros in some European countries. A sustainable strategy for European healthcare systems? The elderly population is expected to grow significantly in Europe. In 2020, Italy had notably the highest old-age dependency ratio in Europe, with a rate of **** people aged over ** to 100 people of working age. Furthermore, the ability of many families to assist elderly relatives is decreased with the loss of multi-generational household culture in modern Western Europe. Finally, some health conditions linked to elderly age require specialist nursing and a residential care setting. Therefore, although a heavy reliance on informal care can reduce healthcare costs, it could be a risky strategy to hold on in the long run.

  15. Performed specialised ambulatory palliative care services in nursing homes...

    • plos.figshare.com
    xls
    Updated Feb 14, 2025
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    Laura Rehner; Kilson Moon; Wolfgang Hoffmann; Neeltje van den Berg (2025). Performed specialised ambulatory palliative care services in nursing homes in Mecklenburg-Western Pomerania. [Dataset]. http://doi.org/10.1371/journal.pone.0319001.t003
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    xlsAvailable download formats
    Dataset updated
    Feb 14, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Laura Rehner; Kilson Moon; Wolfgang Hoffmann; Neeltje van den Berg
    License

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

    Area covered
    Mecklenburg-Vorpommern
    Description

    Performed specialised ambulatory palliative care services in nursing homes in Mecklenburg-Western Pomerania.

  16. a

    Nursing homes costs in San Francisco, CA, over time

    • aplaceformom.com
    html
    + more versions
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    Nursing homes costs in San Francisco, CA, over time [Dataset]. https://www.aplaceformom.com/nursing-homes/california/san-francisco
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    htmlAvailable download formats
    Area covered
    San Francisco, California
    Description

    Cost comparison table showing 2023 and 2024 median costs by location

  17. f

    Table1_Pharmacological treatments and medication-related problems in nursing...

    • datasetcatalog.nlm.nih.gov
    Updated Mar 11, 2024
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    Barceló-Colomer, Maria Estrella; Ferrer, Montserrat Bosch; San-José, Antonio; Gallego, Mònica Sabaté; Anderssen-Nordahl, Emilie; Rosanas, Margarita Sánchez-Arcilla; Fernández-Liz, Eladio (2024). Table1_Pharmacological treatments and medication-related problems in nursing homes in Catalonia: a multidisciplinary approach.XLSX [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001328317
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    Dataset updated
    Mar 11, 2024
    Authors
    Barceló-Colomer, Maria Estrella; Ferrer, Montserrat Bosch; San-José, Antonio; Gallego, Mònica Sabaté; Anderssen-Nordahl, Emilie; Rosanas, Margarita Sánchez-Arcilla; Fernández-Liz, Eladio
    Area covered
    Catalonia
    Description

    Background: Aging correlates with increased frailty, multi-morbidity, and chronic diseases. Furthermore, treating the aged often entails polypharmacy to achieve optimal disease management, augmenting medication-related problems (MRPs). Few guidelines and tools address the problem of polypharmacy and MRPs, mainly within the institutionalized elderly population. Routine pharmacological review is needed among institutionalized patients. This pharmacological review may improve with a multidisciplinary approach of a collaboration of multiple health professionals. This study aimed to describe institutionalized patients, systematically review their medication plans, and then give recommendations and identify MRPs.Methods: A cross-sectional study was performed using data obtained from patients living in five nursing homes in the northern area of Barcelona, Spain. The inclusion criteria comprised institutionalized patients with public health coverage provided by the Health Department of Catalonia. A detailed description of the clinical characteristics, chronic diseases, pharmacological treatments, recommendations, incomplete data, and MRPs, such as potential drug–drug interactions, therapeutic duplications, contraindications, and drugs deemed inappropriate or of doubtful efficacy, was made. The clinical pharmacologist was the medical doctor specialist who acted as the coordinator of the multidisciplinary team and actively reviewed all the prescribed medications to make recommendations and detect MRPs.Results: A total of 483 patients were included. Patients had a mean age of 86.3 (SD 8.8) years, and 72.0% were female individuals. All patients had at least three health-related problems, with a mean of 17.4 (SD 5.6). All patients, except one, had a minimum of one prescription, with a mean of 8.22 drugs prescribed (SD 3.5) per patient. Recommendations were made for 82.4% of the patients. Of these recommendations, verification of adequate use was made for 69.3% and withdrawal of a drug for 49.5%.Conclusion: This study demonstrates a high prevalence of health-related problems and several prescribed drugs in nursing homes in Catalonia. Many recommendations were made, confirming the increased proportion of polypharmacy, MRPs, and the need for standardized interventions. A multidisciplinary team approach, including general practitioners, geriatric assessments, a clinical pharmacist, and a clinical pharmacologist, should address this problem.

  18. Supplementary Material for: Factors Leading to Institutionalization among...

    • karger.figshare.com
    pdf
    Updated Jun 7, 2023
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    Hajek A.; Buczak-Stec E.; vandenBussche H.; Eisele M.; Oey A.; Wiese B.; Weyerer S.; Werle J.; Fuchs A.; Pentzek M.; Luppa M.; Pabst A.; Weeg D.; Bickel H.; Kleineidam L.; Wagner M.; Scherer M.; Maier W.; Riedel-Heller S.G.; König H.-H. (2023). Supplementary Material for: Factors Leading to Institutionalization among the Oldest Old: Longitudinal Findings from the AgeCoDe-AgeQualiDe Study [Dataset]. http://doi.org/10.6084/m9.figshare.16969936.v1
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    pdfAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    Karger Publishershttp://www.karger.com/
    Authors
    Hajek A.; Buczak-Stec E.; vandenBussche H.; Eisele M.; Oey A.; Wiese B.; Weyerer S.; Werle J.; Fuchs A.; Pentzek M.; Luppa M.; Pabst A.; Weeg D.; Bickel H.; Kleineidam L.; Wagner M.; Scherer M.; Maier W.; Riedel-Heller S.G.; König H.-H.
    License

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

    Description

    Introduction: Due to the strong association between old age and the need for long-term care, the number of individuals in need for care is projected to increase noticeably. The aim of this study was to examine the determinants of institutionalization among the oldest old longitudinally. Methods: Longitudinal data (follow-up [FU] wave 7–9) were gathered from a multicenter prospective cohort study (“Study on needs, health service use, costs and health-related quality of life in a large sample of oldest old primary care patients [85+],” AgeQualiDe). At FU wave 7, in 2014, complete measures were available for 763 individuals. The average age was 88.9 (standard deviation 2.9) years (range 85–100), and 68% were female. Sociodemographic and health-related independent variables (e.g., depressive symptoms or functioning) were included in the regression model. Institutionalization (admission to assisted living home or nursing home) was used as an outcome measure. Logistic random-effects models were used. Results: Regressions revealed that among oldest old, the odds of being institutionalized were lower for men (odds ratio [OR] = 0.03; 95% confidence interval [CI] 0.00–0.16). Institutionalization was associated with an increased age (OR = 1.27; 95% CI 1.04–1.55). Additionally, widowed individuals (ref. non-widowed) had higher odds of being institutionalized (OR = 8.95; 95% CI 1.61–49.81). Institutionalization was also associated with functional decline (OR = 0.16; 95% CI 0.11–0.23), whereas it was not significantly associated with cognitive decline, depressive symptoms, and social support. Conclusion: Our findings stress the importance of gender, age, widowhood, and functional decline for institutionalization among the oldest old. Preventing or at least postponing functional decline might help to delay institutionalization as far as possible.

  19. d

    PHIDU - Home and Community Care Program (LGA) 2014-2015

    • data.gov.au
    ogc:wfs, wms
    Updated Jun 30, 2014
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    (2014). PHIDU - Home and Community Care Program (LGA) 2014-2015 [Dataset]. https://data.gov.au/dataset/ds-aurin-aurin%3Adatasource-TUA_PHIDU-UoM_AURIN_DB_1_phidu_home_community_care_program_lga_2014_15
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    wms, ogc:wfsAvailable download formats
    Dataset updated
    Jun 30, 2014
    Description

    This dataset, released December 2017, contains data relating to the Home and Community Care Program 2014-2015 where the number of: Clients living alone, Clients with carer, Clients with co-resident …Show full descriptionThis dataset, released December 2017, contains data relating to the Home and Community Care Program 2014-2015 where the number of: Clients living alone, Clients with carer, Clients with co-resident carer, Indigenous clients (as a proportion of total clients), Indigenous clients (as a proportion of the Indigenous population), Non-English speaking clients, Total clients, Allied health care instances at home, Allied health care instances at centre, Care received in support instances, Case management instances, Centre based day care instances, Client care coordination instances, Domestic assistance instances, Home maintenance and modification instances, Meals at centre plus meals at home instances, Nursing care at centre plus nursing care at home instances, Personal care instances, Respite care instances, Social support instances, Transport instances, Total instances of assistance. The data is by Local Government Area (LGA) 2016 geographic boundaries. For more information please see the data source notes on the data. Source: Compiled by PHIDU using data from the Australian Institute of health and Welfare, 2014/15; and the average of the ABS Estimated Resident Population, 30 June 2014 and 30 June 2015. Please note: AURIN has spatially enabled the original data. "*" - Indicates statistically significant, at the 95% confidence level. "**" - Indicates statistically significant, at the 99% confidence level. "~" - Indicates modelled estimates have Relative Root Mean Square Errors (RRMSEs) from 0.25 to 0.50 and should be used with caution. "~~" - Indicates modelled estimates have RRMSEs greater than 0.50 but less than 1 and are considered too unreliable for general use. '?' - Indicates modelled estimates are considered too unreliable. Blank cell - Indicates data was not shown/not applicable/not published/not available for the specific area ('#', '..', '^', 'np, 'n.a.', 'n.y.a.' in original PHIDU data). Abbreviation Information: "ASR per #" - Indirectly age-standardised rate per specified population. "SR" - Indirectly age-standardised ratio. Copyright attribution: Torrens University Australia - Public Health Information Development Unit, (2018): ; accessed from AURIN on 12/3/2020. Licence type: Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Australia (CC BY-NC-SA 3.0 AU)

  20. Characterization of the elderly population living in nursing homes according...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 10, 2023
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    Marcos Felipe Silva de Lima; Larissa Praça de Oliveira; Natália Louise de Araújo Cabral; Laura Camila Pereira Liberalino; Ursula Viana Bagni; Kenio Costa de Lima; Clélia de Oliveira Lyra (2023). Characterization of the elderly population living in nursing homes according gender and age, Brazil, 2014. [Dataset]. http://doi.org/10.1371/journal.pone.0205642.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Marcos Felipe Silva de Lima; Larissa Praça de Oliveira; Natália Louise de Araújo Cabral; Laura Camila Pereira Liberalino; Ursula Viana Bagni; Kenio Costa de Lima; Clélia de Oliveira Lyra
    License

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

    Area covered
    Brazil
    Description

    Characterization of the elderly population living in nursing homes according gender and age, Brazil, 2014.

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Statista (2022). Average weekly cost of care homes United Kingdom 2022, by region [Dataset]. https://www.statista.com/statistics/860519/nursing-home-residential-care-home-fees-united-kingdom-by-region/
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Average weekly cost of care homes United Kingdom 2022, by region

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Dataset updated
Dec 15, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
United Kingdom
Description

In 2022, residential care in the United Kingdom was most expensive in the South East, Scotland, and London with weekly fees of over *** British pounds. Care homes vary in the type of services they offer to elderly people. Residential care homes, for instance, are suitable for adults who are mostly independent but could use some assistance in day to day living such as dressing, washing, doing laundry or taking medicine. Nursing homes, on the other hand, offer 24-hour medical supervision. An ageing population increases the importance of retirement living properties and services that suit the needs of residents.

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