Data tables relating to the number of open Long-Term Care claims at the end of each year. https://www.gov.je/benefits/longtermcare/Pages/index.aspx

On an annual basis (calendar year), individual LTC facilities report facility-level data on services capacity, utilization, patients, and capital/equipment expenditures.

Updated weekly on Thursdays Older adults and people with disabilities who live in long term care facilities are at high risk for COVID-19 illness and death. The data below describes the impacts of COVID-19 on the residents and staff of Long Term Care Facilities licensed by the State Department of Social and Health Services (DSHS), including Skilled Nursing Facilities (nursing homes); Adult Family Homes and Assisted Living Facilities. Cases and deaths are also occurring in other forms of senior housing not licensed by DSHS, including subsidized housing for people age 50+, Permanent Supportive Housing, and naturally occurring retirement communities (NORCs) and among people with disabilities living in Supportive Living Facilities (also licensed by DSHS).

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.

The Managed Long-Term Care (MLTC) performance data is an annual evaluation (semi-annual prior to 2022) of New York state-certified MLTC plans. Rates are calculated for each performance measure by plan and describe their population, quality of care, and enrollees’ satisfaction. These data also present the statewide demographic profile of MLTC enrollees and statewide rates of emergency room, hospital, and nursing home utilization. Refer to the Measures document to learn more about specific MLTC measures. In the future, as more evaluations are performed, measures can be trended over time. Refer to the Overview document for information on the data sources, time frames, and limitations of this dataset.

Source of information: Long-term care institutions and related management information system data produced by the Ministry of Health and Welfare.Data period: From January 1, 2014 to December 31, 2014.Instructions for filling out the form:1. The number of care service personnel in the county and the whole country are calculated on a per capita basis (as the long-term care personnel were not limited to one place before September 1, 2013, the registration number is used for statistics).2. Personnel with certification documents for long-term care personnel can apply for registration, and there may be duplicate values among various professions.3. The statistical types of care service personnel institutions include: home-based, community-based, residential, comprehensive long-term care institutions established in accordance with the Long-term Care Services Act, as well as other statutory elderly welfare institutions, nursing homes, and institutions for people with disabilities (excluding C-base).4. Compiled on April 7, 2015 of the Republic of China.

In 2024, the annual median cost for long-term care in the United States ranged from 26,000 to 127,750 U.S. dollars, depending on the type of service. This significant financial burden highlights the importance of planning for future healthcare needs, as many older adults may face substantial out-of-pocket costs for extended care services. Nursing homes and assisted living facilities Nursing homes represent the most expensive long-term care option, with private rooms costing an estimated 10,646 U.S. dollars per month in 2024. Semi-private rooms are slightly more affordable at 9,277 U.S. dollars monthly. Assisted living facilities offer a less costly alternative, with annual expenses for a private room averaging 70,800 U.S. dollars. However, these costs can vary dramatically by location, with states like Hawaii, Alaska, and Washington D.C. commanding the highest prices for assisted living accommodations. Home care services and future projections For those preferring to receive care at home, the hourly rates for long-term home care services in 2024 were 33 U.S. dollars for homemaker services and 34 U.S. dollars for home health aide services. These costs are expected to rise significantly in the coming decades, with projections suggesting home health aide services could approach 100 U.S. dollars per hour by 2060. The increasing expense of long-term care is evident across all service types, with assisted living facilities experiencing a 10 percent cost increase from 2023 to 2024, while nursing home rates for semi-private and private rooms rose by 7 and 9 percent, respectively.

The Long-Term Care Facility Characteristics, CMS Form 671, dataset provides information submitted by nursing homes on the CMS Form 671 collected during annual surveys. The data include information about resident census, ownership, dedicated special care units, facility characteristics, and staffing. Note: Annual surveys are conducted every 9 to 15 months. Additionally, some states are experiencing delays in conducting annual surveys, resulting in longer periods of time since the last annual survey. As such, some of the data included in these files may not be up to date.

Long-term care nursing beds data is compiled by the Department of Health as part of the Non-Monetary Health Care Statistics, administered jointly by Eurostat, OECD and WHO in fulfilment of the European regulation (EU) 2022/2294. These statistics are compiled and published on an annual basis and refer to the number of nursing beds available in residential long-term care facilities.

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 in 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.

As of March 2023, the number of people requiring long-term care or support in Japan reached approximately 6.9 million, up from about 5.8 million in 2014. Of the total number of people requiring care, around 8.5 percent were classified as care level 5, which is the most severe level of required care.

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 National Long-Term Care Survey (NLTCS) has completed six waves, nominally at five-year intervals, 1982, 1984, 1989, 1994, 1999, and 2004. The NLTCS is a nationally-representative sample both of the community and of institutionalized populations and is longitudinal in that sample persons join the survey once they reach 65 years of age and stay in the survey until they either die or are lost to follow-up. At each wave, a screener questionnaire is administered to the sample which divides the sample into three parts: the non-disabled (frequently called screen-outs), the disabled but living in the community, and the disabled living in an institution. About 5,000 people die between waves and are replaced by a sample of about that size of people who have become age 65 since the prior wave. Because of budget considerations it usually has not been possible to continue the entire non-disabled sample into the next wave. Instead a sample of the non-disabled is drawn to keep the total sample size for a wave at about 20,000. One of the interesting and useful features of the NLTCS is that data are collected on help that the sample person receives from informal caregivers. The NLTCS is a very data-rich resource with many components, including disability measures, medical conditions, attained education levels, and income. Numerous papers have used it as a source of data addressing a wide variety of topics related to aging and disability. Ancillary surveys have been added to measure other characteristics of the 65 and older population, to include a Caregiver Survey to acquire data on informal caregivers themselves (done in 1989, 1999, and 2004) and Next-of-Kin (NOK) surveys administered to sample persons who had died between 1982 and 1984 and again between 1994 and 1999. The sample has been frequently supplemented to compensate for low representation in some survey components, in particular the 75 years and older and 95 years and older components. In 1999 physical specimens were drawn from a sample of persons who responded to the survey. These physical specimens (blood where possible, alternatively a buccal wash) are subject to a genetic analysis and, in the case of blood, to a panel of proteins believed to be particularly important to health. NLTCS Survey Data Survey data are available in ASCII and SAS format. The Analytic Data File, a file of derived variables for all waves of the survey incorporates correction factors and consistency checking. The Analytic Data File covers all waves of the survey and is available in both ASCII and SAS formats. Final versions of data for all waves, up to and including 1999 and a beta version for 2004, have been released and are supported by documentation.

This statistic shows the number long-term care facilities in the United States from 2006 to 2015, by type. There were 15,004 nursing homes in the U.S. as of 2010. In Americans over the age of 65, almost 70 percent will require long-term care. As the U.S. senior population grows, there will be increased pressure from the quantity and quality of long-term health care facilities.

Dataset from Ministry of Health. For more information, visit https://data.gov.sg/datasets/d_495055a5228852a53cf0323e8dcfbaed/view

Project 1 Proposal of the Long Term Care(LTC) Aggregated Dataset

KAO, HSUAN-CHEN(Justin)
NetID: hk310

  Dataset Details

The long-term care aggregated dataset, essential for conducting experience studies, is an extensive and valuable compilation of variables central to the analysis and prediction of long-term care (LTC) insurance products. This dataset integrates two critical files: one detailing claim incidence and the other capturing policy terminations. This merger is… See the full description on the dataset page: https://huggingface.co/datasets/mastergopote44/Long-Term-Care-Aggregated-Data.

Expert industry market research on the Long Term Care Insurance in the US (2005-2031). Make better business decisions, faster with IBISWorld's industry market research reports, statistics, analysis, data, trends and forecasts.

This dataset includes a list of long-term care hospitals with information such as address, phone number, data on the quality of patient care measures and more. This dataset also shows the corresponding scores against each of the measures for quality of patient care.

This dataset provides Long-Term Care Facility Income Statement Data.

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.