The Skilled Nursing Facility (SNF) Change of Ownership (CHOW) dataset provides information on the SNF ownership changes that occurred on or after January 1, 2016. This data includes information on the buyer and seller organization’s legal business name, provider type, change of ownership type (CHOW, Acquisition/Merger, or Consolidation) and the effective date of the change.

The 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. All nursing homes that participated in the NNHS had at least three beds and were either certified (by Medicare or Medicaid) or had a state license to operate as a nursing home. The redesigned survey was administered using a computer-assisted personal interviewing (CAPI) system. The National Nursing Home Survey provides information on nursing homes from two perspectives-that of the provider of services and that of the recipient of care. Data about the facilities include characteristics such as size, ownership, Medicare/Medicaid certification, services provided and specialty programs offered, and charges. For recipients, data were obtained on demographic characteristics, health status and medications taken, services received, and sources of payment.

Data for the survey were obtained through personal interviews with facility administrators and designated staff who used administrative records to answer questions about the facilities, staff, services and programs, and medical records to answer questions about the residents.

The total number of nursing home facilities that participated in NNHS is 1,174.

The 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. All nursing homes that participated in the NNHS had at least three beds and were either certified (by Medicare or Medicaid) or had a state license to operate as a nursing home. The redesigned survey was administered using a computer-assisted personal interviewing (CAPI) system and included a supplemental survey of nursing assistants employed by nursing homes, the National Nursing Assistant Survey (NNAS), which was sponsored by the Office of the Assistant Secretary for Planning and Evaluation (APSE).

The National Nursing Home Survey provides information on nursing homes from two perspectives-that of the provider of services and that of the recipient of care. Data about the facilities include characteristics such as size, ownership, Medicare/Medicaid certification, services provided and specialty programs offered, and charges. For recipients, data were obtained on demographic characteristics, health status and medications taken, services received, and sources of payment.

Data for the survey were obtained through personal interviews with facility administrators and designated staff who used administrative records to answer questions about the facilities, staff, services and programs, and medical records to answer questions about the residents.

The total number of nursing home facilities that participated in NNHS is 1,174 and the total number of nursing assistants that participated in the National Nursing Assistant Survey is 3,017.

Explore the historical Whois records related to nursing-home-abuse-lawyers.us (Domain). Get insights into ownership history and changes over time.

Explore the historical Whois records related to work-nursinghome.net (Domain). Get insights into ownership history and changes over time.

The 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. All nursing homes that participated in the NNHS had at least three beds and were either certified (by Medicare or Medicaid) or had a state license to operate as a nursing home. The redesigned survey was administered using a computer-assisted personal interviewing (CAPI) system. The National Nursing Home Survey provides information on nursing homes from two perspectives-that of the provider of services and that of the recipient of care. Data about the facilities include characteristics such as size, ownership, Medicare/Medicaid certification, services provided and specialty programs offered, and charges. For recipients, data were obtained on demographic characteristics, health status and medications taken, services received, and sources of payment.

Data for the survey were obtained through personal interviews with facility administrators and designated staff who used administrative records to answer questions about the facilities, staff, services and programs, and medical records to answer questions about the residents.

The total number of nursing home facilities that participated in NNHS is 1,174.

Description of the INSPIRE Download Service (predefined Atom): Retirement homes Total Saarland: Recording of old-age housing, old age, old-age care and short-term care facilities as well as hospices by the spatial data centre in lcf, State Office for Surveying, Geoinformation and Land Development. According to the list of old-age housing, old age, old-age care and short-term pplege facilities as well as hospices pursuant to § 1 Saarland Regional Home Act, there are a total of 12629 places, which are divided as follows: 312 old-age residences; 110 retirement homes; 11812 nursing homes; 369 short-term care places; 26 hospice places. Description of the attribute table: KREIS-: Circle number HNR-: House number ADZ-: Additional address RW-: Legal value HW-: High value STR_NAME-: Street name Postcode: Postcode ORT_NAME-: Place name POST_ORT-: Post Place name NAME_DER_E-: Name of the institution TRAEGER-: Holder of the facility TELEFON-: Telephone number ALTENWOHNHEIMPL-: Old-age residences ALTENHEIMPLAE-: Retirement homes PFLEGEHEIMPLAE-: Nursing home places KURZZEITPFLEGEP-: Short-term care places HOSPIZPLAETZE-: Hospice places GESAMT_PLA-: Total places LANDKREIS_NAME-: District name ERFASSER-: Recorder of the data and date Collection of the retirement homes On the basis of lists, list of old-age housing, old age, old-age care and short-term plenary facilities as well as Hospise pursuant to § 1 Saarland Regional Home Act. DTK5, House coordinates, Orthophotos des lcf, State Office for Surveying, Geoinformation and Land Development. The data were collected by the spatial data center, at lcf. — The link(s) for downloading the records is/are generated dynamically from getFeature Requests to a WFS 1.1.0

Explore the historical Whois records related to surat-nursinghome.com (Domain). Get insights into ownership history and changes over time.

This survey was designed to yield national estimates of the use of and expenditures for care during 1987 by persons who resided in nursing homes or facilities for the mentally retarded. The Facility Questionnaire was completed by administrators of 1,501 participating facilities (810 nursing homes and 691 facilities for the mentally retarded). Data records contain bed size, type of ownership, facility certification, services routinely provided, average cost, and other information. Weights, which must be used to generate nationally representative facility-level estimates, are provided. The Baseline Questionnaire file contains data collected from institutional caregivers and next of kin of 6,965 randomly sampled persons who were living in the sampled facilities on January 1, 1987. Data include sociodemographic information such as age, race, and sex. Information on residences prior to admission, measures of functional limitations and chronic conditions, and the work history of persons in facilities for the mentally retarded is also provided. Person level records can be linked to facility records and include person weights for obtaining national estimates. The documentation file includes an overview of the entire 1987 National Medical Expenditure Survey (NMES), which is expected to produce 15 files of data. The documentation provides frequencies, questionnaires, and technical information on sample design, weights, and variance estimation.

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Cherokee-County-Nursing-Home.

Dataset, STATA do-file, and R script to replicate the findings of the following article:

Damián J, Pastor-Barriuso R, García-López FJ, Ruigómez A, Martínez-Martín P, de Pedro-Cuesta J. Facility ownership and mortality among older adults residing in care homes. PLoS One 2019

A data set of a multicohort study of persons 70 years of age and over designed primarily to measure changes in the health, functional status, living arrangements, and health services utilization of two cohorts of Americans as they move into and through the oldest ages. The project is comprised of four surveys: * The 1984 Supplement on Aging (SOA) * The 1984-1990 Longitudinal Study of Aging (LSOA) * The 1994 Second Supplement on Aging (SOA II) * The 1994-2000 Second Longitudinal Study of Aging (LSOA II) The surveys, administered by the U.S. Census Bureau, provide a mechanism for monitoring the impact of proposed changes in Medicare and Medicaid and the accelerating shift toward managed care on the health status of the elderly and their patterns of health care utilization. SOA and SOA II were conducted as part of the in-person National Health Interview Survey (NHIS) of noninstitutionalized elderly people aged 55 years and over living in the United States in 1984, and at least 70 years of age in 1994, respectively. The 1984 SOA served as the baseline for the LSOA, which followed all persons who were 70 years of age and over in 1984 through three follow-up waves, conducted by telephone in 1986, 1988, and 1990. The SOA covered housing characteristics, family structure and living arrangements, relationships and social contracts, use of community services, occupation and retirement (income sources), health conditions and impairments, functional status, assistance with basic activities, utilization of health services, nursing home stays, and health opinions. Most of the questions from the SOA were repeated in the SOA II. Topics new to the SOA II included use of assistive devices and medical implants; health conditions and impairments; health behaviors; transportation; functional status, assistance with basic activities, unmet needs; utilization of health services; and nursing home stays. The major focus of the LSOA follow-up interviews was on functional status and changes that had occurred between interviews. Information was also collected on housing and living arrangements, contact with children, utilization of health services and nursing home stays, health insurance coverage, and income. LSOA II also included items on cognitive functioning, income and assets, family and childhood health, and more extensive health insurance information. The interview data are augmented by linkage to Medicare enrollment and utilization records, the National Death Index, and multiple cause-of-death records. Data Availability: Copies of the LSOA CD-ROMs are available through the NCHS or through ICPSR as Study number 8719. * Dates of Study: 1984-2000 * Study Features: Longitudinal * Sample Size: ** 1984: 16,148 (55+, SOA) ** 1984: 7,541(70+, LSOA) ** 1986: 5,151 (LSOA followup 1) ** 1988: 6,921 (LSOA followup 2) ** 1990: 5,978 (LSOA followup 3) ** 1994-6: 9,447 (LSOA II baseline) ** 1997-8: 7,998 (LSOA II wave 2) ** 1999-0: 6,465 (LSOA II wave 3) Link: * LSOA 1984-1990 ICPSR: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/08719

This National Master Facility Inventory data file is intended to provide a comprehensive list of nursing homes and related care homes in the United States in 1982. The criteria for inclusion were that a home maintained three or more inpatient beds and provided one or more personal care services (such as help with eating, walking, correspondence, dressing, bathing, or using the toilet) or supervisory care. The file contains the names and addresses of 26,817 such facilities along with characteristics such as total beds set up and staffed for use, number of beds certified by Medicare or Medicaid as skilled and intermediate beds, total residents, and type of ownership. Facilities that only provided services to the mentally ill or the mentally retarded are not included in this file. Each facility has a unique identification number that incorporates the Federal Information Processing Standards state and county codes for sorting and selection by state, county, city, or zip code.

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.

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.

Explore the historical Whois records related to nursinghome.attorney (Domain). Get insights into ownership history and changes over time.

Taiwan CC: Number of Case: Nursing House & Housing: Nursing House data was reported at 0.000 Case in Sep 2018. This records a decrease from the previous number of 8.000 Case for Aug 2018. Taiwan CC: Number of Case: Nursing House & Housing: Nursing House data is updated monthly, averaging 4.000 Case from Jan 2009 (Median) to Sep 2018, with 117 observations. The data reached an all-time high of 13.000 Case in Apr 2013 and a record low of 0.000 Case in Sep 2018. Taiwan CC: Number of Case: Nursing House & Housing: Nursing House data remains active status in CEIC and is reported by Construction and Planning Agency, Ministry of the Interior. The data is categorized under Global Database’s Taiwan – Table TW.EA016: Construction Commencement: Number of Case.

This service contains several themes related to visualization of Grant County land parcels.

Parcels - this layer shows the outer boundary of the land parcel. Be aware that the polygons representing land parcels are based on survey data, but do not always exactly represent the survey data. This data is only a representation of the location and size of land parcels. You are invited to submit corrections to the Data Steward. Polygons are edited continuously as land is subdivided and segregated. Updates are usually posted bi-monthly.

Parcels - Market Values - this layer categorizes parcels into $100,000 bands using the Assessor's Office market value calculations.

Parcels - Vacant or undeveloped - this layer filters parcels that are not tax-exempt, and have a market crop value of $0 and a market building value of $0 to identify parcels that may be vacant or undeveloped. The results are symbolized by the Department of Revenue reporting code.

Parcels - Tax District - this layer symbolizes parcels by the tax district assigned to the each parcel.

Parcels - Tax Exempt - this layer filters parcels that are coded as property tax exempt per the property tax exemption for nonprofit organizations. Qualifying organizations conducting an activity specifically identified in Chapter 84.36 of the Revised Code of Washington. Not all nonprofits have a purpose and activity that entitles them to an exemption. The use of the property determines the exemption. Typical organizations receiving property tax exemption are schools, churches, cemeteries, hospitals, social service agencies, character building organizations, nursing homes, homes for the aging, museums, performing arts facilities, and public meeting halls. The qualifying organizations receive abatement (exemption) of their property taxes. Special assessments are not eligible for this exemption. Please note: Property tax exemptions are only applicable to real and personal property located in Washington State. Nonprofit organizations, even though they may be exempt from federal taxes, are not generally exempt from taxes in Washington. Typically, organizations must own and exclusively use their property to conduct an activity specifically exempted by the Legislature to qualify for the exemption. Please note: Grant County does not track government department or agency ownership on a consistent basis. There are occasionally errors in the coding, please cross-check the tax records for the parcel of interest. You may also consult the Washington State Department of Natural Resources "non-DNR Major Public Lands" data as further reference for locations of public land.

OwnerListing - this table lists the owner names associated with each parcel. There can be multiple owners per parcel, and ownership changes over time.

Sales - this table contains all sales, not just qualifying sales, associated with each parcel. There can be multiple sales per parcel.

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

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

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

How the data is organised:

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

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

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

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

Uncover historical ownership history and changes over time by performing a reverse Whois lookup for the company Hopi-Assisted-Living-Facility-Inc..