In 2020, U.S. adult day centers catered to the youngest users, with over a third of users younger than 65 years of age. Meanwhile, in hospice and assisted living communities, roughly half of users were aged 85 years and older.
While most long-term care services providers were found in the South of the United States, residential care community (assisted living) providers were largely found in the West. Meanwhile, adult day services center and hospice providers were both equally represented in the South and the West. Nursing homes providers were also equally spread across the Midwest and the South of the U.S. Long-term care services account for a variety of services such as health, personal care, and supportive services dedicated to older people and adults with a limited capacity for self-care in cases such as injury or mental disability.
In the United States, adult day center users were disproportionately more ethnically and racially diverse than the general population over 65 years in 2020. There was also a disproportionately high share of non-Hispanic Black patients in long-term care (LTC) hospitals. Meanwhile, White, non-Hispanic residents dominated assisted living communities, more so than other LTC services.
The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on post-acute and long-term care providers every two years. The goal is to monitor post-acute and long-term care settings with reliable, accurate, relevant, and timely statistical information to support and inform policy, research, and practice. These data tables provide an overview of the geographic, organizational, staffing, service provision, and user characteristics of paid, regulated long-term and post-acute care providers in the United States. The settings include adult day services centers, home health agencies, hospices, inpatient rehabilitation facilities, long-term care hospitals, and nursing homes.
The NCHS National Post-acute and Long-term Care Study (NPALS) collects data on long-term care every two years for all 50 states and the District of Columbia to monitor the diverse post-acute and long-term care fields. The 2020 survey provided an opportunity to collect COVID-19-related data for residential care communities and adult day services centers, important long-term care settings. These data are not available from other data systems. These data are related to experiences of COVID-19 from January 2020 through mid-July 2021, including the number of COVID-19 cases, hospitalizations, and deaths among users and staff, practices taken to reduce COVID-19 exposure and transmission, and personal protective equipment (PPE) shortages.
In 2020, there were a total of 884,400 long-term care FTE staff in the United States, not including nursing home staff*. These employees provided LTC for 7.3 million service users that year.
In 2020, there were roughly 30 certified nursing home beds per 1,000 persons aged 65 and older in the United States. In comparison, there were just 5.4 participant spaces per 1,000 people aged 65 and older in adult day service centers.
Presents the locations of DSHS-licensed Long Term Care Nursing Homes, including those designated as Intermediate Care Facilities for Individuals with Intellectual Disabilities (ICF/IID). The data is extracted nightly from the Washington State Department of Social and Health Services (DSHS) Aging and Long Term Support Administration's (ALTSA), Facilities Management System (FMS) and geocoded using the the Washington Master Address Services (WAMAS) address correction and geocoding tool. This is the same data that is available in the lookup tools in the Residential Care Services web site with the addition of location data columns.Current and archived records since the initial load on 3/9/2020 are provided in this dataset. Filter on GDLArchiveDate is NULL to work with only the current records.
In 2020, there were a total of 7.3 million service users of long-term care (LTC) in the United States. The largest share of LTC users came from home health agencies, followed by hospice patients and nursing home residents. Although assisted living community providers accounted for the largest share of LTC providers, they only accounted for roughly 10 percent of all LTC users. The number of service users of LTC has mostly increased from 2012, reaching a peak of 9.5 million people in 2018. The large drop in numbers in 2020 is most likely due to the COVID-19 pandemic.
On an annual basis (based on individual Long-Term Care (LTC) facility fiscal year end), California licensed LTC facilities report detailed financial data on facility information, ownership information, patient days & discharges, Balance Sheet, Equity Statement, Cash Flows, Income Statement, Revenue by type and payer, Expense Detail, and Labor Detail. Based on the selected data set, the pivot tables display summarized data on a Profile page and also provides charts on various data items such as Patient Days, Revenue & Expense, and Revenue.
The National Post-acute and Long-term Care Study (NPALS) is a biennial study of major post-acute and long-term care providers and their services users. Seven provider settings are included. NPALS collects survey data on the residential care community and adult day services sectors, and uses administrative data (available from CMS) for home health, nursing home, hospice, inpatient rehabilitation, and long-term care hospital sectors. The goals of the study are to: estimate the supply of paid, regulated post-acute and long-term care services providers; estimate key policy-relevant characteristics and practices of these providers; estimate the number of post-acute and long-term care services users; estimate key policy-relevant characteristics of these users; produce national and state estimates where feasible; compare across provider sectors; and monitor trends over time.
NPALS was previously known as the National Study of Long-Term Care Providers (NSLTCP) from 2012 to 2020.
Presents the locations of DSHS-licensed Long Term Care Adult Family Homes, Assisted Living Facilities, and Enhanced Services Facilities. Also presents the business locations of Certified Residential Service and Supports Providers and their Group Training Homes when available. The data is extracted nightly from the Washington State Department of Social and Health Services (DSHS) Aging and Long Term Support Administration's (ALTSA), Facilities Management System (FMS) and geocoded using the the Washington Master Address Services (WAMAS) address correction and geocoding tool. This is the same data that is available in the lookup tools in the Residential Care Services web site with the addition of location data columns.Current and archived records since the initial load on 3/9/2020 are provided in this dataset. Filter on GDLArchiveDate is NULL to work with only the current records.
On an annual basis (calendar year), individual LTC facilities report facility-level data on services capacity, utilization, patients, and capital/equipment expenditures.
In the U.S., the vast majority of long-term care services providers were for-profit organizations in 2020. Only adult day services centers and inpatient rehabilitation facilities were largely nonprofit providers. Long-term care services account for a variety of services such as health, personal care, and supportive services dedicated to frail older people and adults with a limited capacity for self-care in cases such as injury or mental disability.
Submitted data as of the week ending 11/28/2021. The Nursing Home COVID-19 Public File includes data reported by nursing homes to the CDC’s National Healthcare Safety Network (NHSN) Long Term Care Facility (LTCF) COVID-19 Module: Surveillance Reporting Pathways and COVID-19 Vaccinations. For resources and ways to explore and visualize the data, please see the links to the left, as well as the buttons at the top of the page. Please note: Starting with week ending 9/12/2021, the full downloadable file has become too large to open in most spreadsheet programs, including Microsoft Excel. If you require smaller files, you can use the links below to download 2020 and 2021 data separately: Dataset for 2020 Dataset for 2021
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United States Health Insurance: Accident and Health: Covered Lives: Long-Term Care data was reported at 7,302,891.000 Person in 2023. This records an increase from the previous number of 7,210,284.000 Person for 2022. United States Health Insurance: Accident and Health: Covered Lives: Long-Term Care data is updated yearly, averaging 7,210,284.000 Person from Dec 2015 (Median) to 2023, with 9 observations. The data reached an all-time high of 7,582,290.000 Person in 2017 and a record low of 6,649,536.000 Person in 2020. United States Health Insurance: Accident and Health: Covered Lives: Long-Term Care data remains active status in CEIC and is reported by National Association of Insurance Commissioners. The data is categorized under Global Database’s United States – Table US.RG021: Health Insurance: Accident and Health: Number of Covered Lives by Lines of Business.
This dataset contains records of publicly reported data on COVID-19 testing in Ontario long-term care homes. It was collected between April 24, 2020 and March 30, 2023. Summary data is aggregated to the provincial level. Reports fewer than 5 are indicated with <5 to maintain the privacy of individuals. ##Data includes: * Long-term care home COVID-19 summary data * Long-term care homes with an active COVID-19 outbreak * Long-term care homes no longer in a COVID-19 outbreak * Long-term care home COVID-19 summary data by Public Health Unit (PHU) * Long-term care home COVID-19 staff vaccination rates An outbreak is defined as two or more lab-confirmed COVID-19 cases in residents, staff or other visitors in a home, with an epidemiological link, within a 14-day period, where at least one case could have reasonably acquired their infection in the long-term care home. Prior to April 7, 2021, the definition required one or more lab-confirmed COVID-19 cases in a resident or staff in the long-term care home. Notes February 21 to March 29, 2023: Data is only available for regular business days (for example, Monday through Friday, except statutory holidays) March 12 – 13, 2022: Due to technical difficulties, data is not available. September 8, 2022: The data dated September 6, 2022 represents data collected during the period of September 3, 4 and 5, 2022. October 6, 2022: The data dated October 5, 2022 represents data collected during the period of October 1, 2, 3 and 4, 2022. October 13, 2022: Due to technical difficulties, data for the date of October 9 is not available. October 20, 2022: Due to technical difficulties, data for the dates of October 15, 16 is not available. November 24, 2022: Due to technical difficulties, data is not available.
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License information was derived automatically
ObjectiveLong-term care needs have grown with population aging. This study explores the relationships among health status, healthcare expenditure, and long-term care insurance (LTCI) among the older adults.MethodsUsing data from the China Health and Retirement Longitudinal Study (CHARLS 2011, 2013, 2015, 2018, and 2020) and based on the demand model for healthcare services, this study employed the difference-in-difference (DID) method to assess how the implementation of LTCI contributed to the health status and healthcare expenditures of the older adults. The propensity score matching DID method (PSM-DID) and other tests were used to conduct further robustness checks.ResultsThe findings demonstrate a significant positive impact of LTCI on improving the health status and reducing healthcare expenditures in the elderly population. The PSM-DID indicates that LTCI can effectively improve the health status of the elderly population and reduce their healthcare spending.ConclusionsBased on the findings, the development of relevant policy frameworks for LTCI in China is recommended. These include consider the differences among the various pilot cities and social strata to allow policy adjustments and improvements in a timely, establish a dynamic and diversified long-term care insurance financing mechanism, encourage collaboration between medical institutions and elder care facilities, establish effective contact between LTCI and medical institutions, and use incentive policies such as tax relief to provide financial support and subsidies.
This annual publication presents statistical information on patient education / self management programmes for long term conditions collected from health and social care trusts and independent programme providers. It details information on the type, provision, frequency and trust area of the programmes delivered.
In 2020, long-term care (LTC) hospital was the only LTC setting where men outnumbered women. Assisted living communities, especially, had higher portions of women residents than men.
In 2020, U.S. adult day centers catered to the youngest users, with over a third of users younger than 65 years of age. Meanwhile, in hospice and assisted living communities, roughly half of users were aged 85 years and older.