71 datasets found
  1. d

    MD COVID-19 - Total Cases in Congregate Facility Settings (Nursing Homes,...

    • datasets.ai
    • opendata.maryland.gov
    • +1more
    23, 40, 55, 8
    Updated Sep 20, 2024
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    State of Maryland (2024). MD COVID-19 - Total Cases in Congregate Facility Settings (Nursing Homes, Assisted Living, State and Local Facilities and Group Homes with +10 Residents) [Dataset]. https://datasets.ai/datasets/md-covid-19-total-cases-in-congregate-facility-settings-nursing-homes-assisted-living-stat
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    23, 8, 40, 55Available download formats
    Dataset updated
    Sep 20, 2024
    Dataset authored and provided by
    State of Maryland
    Area covered
    Maryland
    Description

    Summary This layer has been DEPRECATED. (last updated 12/1/2021). Was formerly a weekly update.

    The Outbreak-Associated Cases in Congregate Living data dashboard on coronavirus.maryland.gov was redesigned on 11/17/21 to align with other outbreak reporting. Visit https://opendata.maryland.gov/dataset/MD-COVID-19-Congregate-Outbreak/ey5n-qn5s to view Outbreak-Associated Cases in Congregate Living data as reported after 11/17/21.

    Confirmed COVID-19 cases among Maryland residents who live and work in congregate living facilities in Maryland for the reporting period.

    Description The MD COVID-19 - Total Cases in Congregate Facility Settings data layer is a total of positive COVID-19 test results have been reported to MDH in nursing homes, assisted living facilities, group homes of 10 or more and state and local facilities for the reporting period. Data are reported to MDH by local health departments, the Department of Public Safety and Correctional Services and the Department of Juvenile Services. To appear on the list, facilities report at least one confirmed case of COVID-19 over the prior 14 days. Facilities are removed from the list when health officials determine 14 days have passed with no new cases and no tests pending. The list provides a point-in-time picture of COVID-19 case activity among these facilities. Numbers reported for each facility listed reflect totals ever reported for cases. Data are updated once weekly.

    Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

  2. Older people living in care homes and changes over time, England and Wales,...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Oct 9, 2023
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    Office for National Statistics (2023). Older people living in care homes and changes over time, England and Wales, Census 2021 [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/ageing/datasets/olderpeoplelivingincarehomesandchangesovertimeenglandandwalescensus2021
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    xlsxAvailable download formats
    Dataset updated
    Oct 9, 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
    Wales, England
    Description

    This dataset provides Census 2021 estimates that classify usual residents aged 65 years and over living in a care home in England and Wales. The estimates are as at Census Day, 21 March 2021.

  3. National Survey of Residential Care Facilities - Restricted Facility-Level...

    • data.virginia.gov
    • healthdata.gov
    • +1more
    html
    Updated Feb 19, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). National Survey of Residential Care Facilities - Restricted Facility-Level Dataset [Dataset]. https://data.virginia.gov/dataset/national-survey-of-residential-care-facilities-restricted-facility-level-dataset
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    htmlAvailable download formats
    Dataset updated
    Feb 19, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The 2010 National Survey of Residential Care Facilities (NSRCF) is a first-ever national probability sample survey that collects data on U.S. residential care providers, their staffs and services, and the people they serve. It is designed to provide national estimates of the number of residential care facilities operating in the United States, the number of residents receiving care, and the characteristics of both the facilities and their residents. NSRCF was conducted between March and November 2010. All residential care facilities that participated in the survey were places that were licensed, registered, listed, certified, or otherwise regulated by the state and that had 4 or more licensed, certified, or registered beds, provided room and board with at least two meals a day, around-the-clock on-site supervision, and help with personal care such as bathing and dressing or health related services such as medication management. These facilities served a predominantly adult population and had at least one current resident. Facilities licensed to serve the mentally ill or the developmentally disabled populations exclusively were excluded from the survey.

  4. d

    Minimum Data Set Frequency

    • catalog.data.gov
    • healthdata.gov
    • +1more
    Updated Feb 3, 2025
    + more versions
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    Centers for Medicare & Medicaid Services (2025). Minimum Data Set Frequency [Dataset]. https://catalog.data.gov/dataset/minimum-data-set-frequency
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    Dataset updated
    Feb 3, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    Description

    The Minimum Data Set (MDS) Frequency data summarizes health status indicators for active residents currently in nursing homes. The MDS is part of the Federally-mandated process for clinical assessment of all residents in Medicare and Medicaid certified nursing homes. This process provides a comprehensive assessment of each resident's functional capabilities and helps nursing home staff identify health problems. Care Area Assessments (CAAs) are part of this process, and provide the foundation upon which a resident's individual care plan is formulated. MDS assessments are completed for all residents in certified nursing homes, regardless of source of payment for the individual resident. MDS assessments are required for residents on admission to the nursing facility, periodically, and on discharge. All assessments are completed within specific guidelines and time frames. In most cases, participants in the assessment process are licensed health care professionals employed by the nursing home. MDS information is transmitted electronically by nursing homes to the national MDS database at CMS. When reviewing the MDS 3.0 Frequency files, some common software programs e.g., ‘Microsoft Excel’ might inaccurately strip leading zeros from designated code values (i.e., "01" becomes "1") or misinterpret code ranges as dates (i.e., O0600 ranges such as 02-04 are misread as 04-Feb). As each piece of software is unique, if you encounter an issue when reading the CSV file of Frequency data, please open the file in a plain text editor such as ‘Notepad’ or ‘TextPad’ to review the underlying data, before reaching out to CMS for assistance.

  5. Population in long-term care facilities, 2016 Census

    • open.canada.ca
    • catalogue.arctic-sdi.org
    esri rest, fgdb/gdb +3
    Updated Mar 2, 2022
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    Statistics Canada (2022). Population in long-term care facilities, 2016 Census [Dataset]. https://open.canada.ca/data/en/dataset/74528098-6f62-48fc-9a95-99bd287d2dab
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    html, wms, esri rest, mxd, fgdb/gdbAvailable download formats
    Dataset updated
    Mar 2, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Statistics Canada, in collaboration with the Public Health Agency of Canada and Natural Resources Canada, is presenting selected Census data to help inform Canadians on the public health risk of the COVID-19 pandemic and to be used for modelling analysis. The data provided here show the counts of the population in nursing homes and/or residences for senior citizens by broad age groups (0 to 79 years and 80 years and over) and sex, from the 2016 Census. Nursing homes and/or residences for senior citizens are facilities for elderly residents that provide accommodations with health care services or personal support or assisted living care. Health care services include professional health monitoring and skilled nursing care and supervision 24 hours a day, 7 days a week, for people who are not independent in most activities of daily living. Support or assisted living care services include meals, housekeeping, laundry, medication supervision, assistance in bathing or dressing, etc., for people who are independent in most activities of daily living. Included are nursing homes, residences for senior citizens, and facilities that are a mix of both a nursing home and a residence for senior citizens. Excluded are facilities licensed as hospitals, and facilities that do not provide any services (which are considered private dwellings).

  6. n

    Nursing Homes

    • nconemap.gov
    Updated Feb 26, 2010
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    NC OneMap / State of North Carolina (2010). Nursing Homes [Dataset]. https://www.nconemap.gov/items/978258aae1a44779addb479514f34008
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    Dataset updated
    Feb 26, 2010
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    License

    https://www.nconemap.gov/pages/termshttps://www.nconemap.gov/pages/terms

    Area covered
    Description

    A nursing home is commonly referred to as a skilled nursing facility, long term care (LTC) facility, or rest home, and may have a different standardized name throughout the United States, but is most commonly referred to as a nursing home. A nursing home traditionally offers 24-hour (skilled) nursing to the elderly or to disabled patients having a variety of medical conditions who require personal care services above that of an assisted living but do not require hospitalization. The personal care services provided may or may not include, but are not limited to: skilled nursing, long term inpatient care, room and board, meals, laundry, and assistance with: dressing, grooming, getting in and out of bed, medications, bathing, and toileting. For purposes of this dataset, an assisted living facility is defined as a facility where the elderly, who are not related to the operator, reside and receive care, treatment, or services. Although not at the level of a nursing home, the services are above the level of an independent living community. They may include several hours per week of supportive care, personal care, or nursing care per resident. Generally, an assisted living facility offers help in daily living (laundry, cooking, cleaning, etc.) and personal assistance (bathing, eating, clothing, etc.). Many assisted living facilities offer assistance with medication and a lesser level of nursing care than what is offered at a nursing home. Assisted living facilities may be regulated by size restrictions depending on which type of assisted living facility it is considered to be in the state in which it exists. For example, Adult Family Homes in Wisconsin have between 3-4 elderly residents while Community Based Residential Facilities have 5 or more. Almost every state has different terminology to describe their version of the assisted living facility system. The structures in which assisted living facilities exist are varied as well. Depending on the type, an assisted living facility may operate out of a personal residence or a nursing home style structure, and it may be set up as apartment style living or as a campus setting in a continuing care retirement community. Multiple assisted living facilities may exist at one location or may be co-located with nursing homes and/or other similar health care facilities. If a facility is licensed by a state and holds multiple licenses, it is represented once in this dataset for each license, even if the licenses are for the same location. This dataset does not include retirement communities, adult daycare facilities, or rehabilitation facilities. Nursing Homes that are operated by and co-located with a hospital are also excluded because the locations are included in the hospital dataset. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard fields populated by TechniGraphics. Double spaces were replaced by single spaces in these same fields. Text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. All diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on this field, the oldest record dates from 09/22/2009 and the newest record dates from 01/08/2010.


    Homeland Security Use Cases: Use cases describe how the data may be used and help to define and clarify requirements. 1. A resource for evacuation planning and emergency management in the event of an emergency. 2. A threat against nursing homes has been identified and measures must be taken to protect these types of facilities. 3. A disaster has occurred, or is in the process of occurring, and facilities in the vicinity with people needing evacuation assistance must be identified.

  7. g

    Care Homes: Type Of Stay

    • statistics.gov.scot
    • find.data.gov.scot
    • +1more
    Updated Sep 3, 2021
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    (2021). Care Homes: Type Of Stay [Dataset]. https://statistics.gov.scot/data/care-homes-type-of-stay
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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 number of residents by their type of stay (long/short/respite stay) across care home sectors and for various main client groups.

  8. d

    Nursing Homes with Residents Positive for COVID-19, April - June 2020

    • catalog.data.gov
    Updated Jun 19, 2020
    + more versions
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    data.ct.gov (2020). Nursing Homes with Residents Positive for COVID-19, April - June 2020 [Dataset]. https://catalog.data.gov/pt_PT/dataset/nursing-homes-with-residents-positive-for-covid-19-april-june-2020
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    Dataset updated
    Jun 19, 2020
    Dataset provided by
    data.ct.gov
    Description

    Nursing homes with residents positive for COVID-19 from 4/22/2020 to 6/19/2020. Starting in July 2020, this dataset will no longer be updated and will be replaced by the CMS COVID-19 Nursing Home Dataset, available at the following link: https://data.ct.gov/Health-and-Human-Services/CMS-COVID-19-Nursing-Home-Dataset/w8wc-65i5. Methods: 1) Laboratory-confirmed case counts are based upon data reported via the FLIS web portal. Nursing homes were asked to provide cumulative totals of residents with laboratory confirmed covid. This includes residents currently in-house, in the hospital, or who are deceased. Residents were excluded if they tested positive prior to initial admission to the nursing home. 2) The cumulative number of deaths among nursing home residents is based upon data reported by the Office of the Chief Medical Examiner. For public health surveillance, COVID-19-associated deaths include persons who tested positive for COVID-19 around the time of death (laboratory-confirmed) and persons whose death certificate lists COVID-19 disease as a cause of death or a significant condition contributing to death (probable). Limitations: 1) As of the week of 5/10/20, Point Prevalence Survey testing is being offered to all asymptomatic nursing home residents to inform infection prevention efforts. Point prevalence surveys will be conducted over a period of several weeks. Some nursing homes had adequate testing resources available to conduct surveys prior to this date. Differences in survey timing will impact the number of positive results that a nursing home reports. 2) Cumulative totals of residents testing positive are being collected rather than individual resident data. Thus we cannot verify the counts, de-duplicate, and/or verify whether there is a record of a positive lab test. This may result in either under- or over-counting. 3) The number of COVID-19 positive residents and the number of confirmed deaths among residents are tabulated from different data sources. Due to the timing of availability of test results for deceased residents, it is not appropriate to calculate the percent of cases who died due to COVID-19 at any particular facility based upon this data. 4) The count of deaths reported for 4/14 are not included in this dataset, as they were not broken out by laboratory-confirmed or probable. They can be viewed in the DPH Report here: https://portal.ct.gov/-/media/Coronavirus/CTDPHCOVID19summary4162020.pdf?la=en

  9. V

    Long Term Care from the COVID Tracking Project

    • data.virginia.gov
    html
    Updated Feb 3, 2024
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    Other (2024). Long Term Care from the COVID Tracking Project [Dataset]. https://data.virginia.gov/dataset/long-term-care-from-the-covid-tracking-project
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    htmlAvailable download formats
    Dataset updated
    Feb 3, 2024
    Dataset authored and provided by
    Other
    Description

    From the project Web site: "To date, the Long-Term Care COVID Tracker is the most comprehensive dataset about COVID-19 in US long-term care facilities. It compiles crucial data about the effects of the pandemic on a population with extraordinary vulnerabilities to the virus due to age, underlying health conditions, or proximity to large outbreaks.

    The dataset compiles all currently available information of COVID-19 cases and related deaths in long-term care facilities—nursing homes, skilled nursing facilities, assisted living facilities, and other care homes—and tracks both residents and staff."

  10. T

    Data from: Nursing Home Compare

    • datahub.va.gov
    • data.va.gov
    • +2more
    application/rdfxml +5
    Updated Sep 12, 2019
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    (2019). Nursing Home Compare [Dataset]. https://www.datahub.va.gov/dataset/Nursing-Home-Compare/evar-qt7g
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    csv, xml, json, tsv, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    Sep 12, 2019
    Description

    Nursing Home Compare has detailed information about every Medicare and Medicaid nursing home in the country. A nursing home is a place for people who can’t be cared for at home and need 24-hour nursing care. These are the official datasets used on the Medicare.gov Nursing Home Compare Website provided by the Centers for Medicare & Medicaid Services. These data allow you to compare the quality of care at every Medicare and Medicaid-certified nursing home in the country, including over 15,000 nationwide.

  11. Care home resident deaths registered in England and Wales, provisional

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Jan 9, 2024
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    Office for National Statistics (2024). Care home resident deaths registered in England and Wales, provisional [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/carehomeresidentdeathsregisteredinenglandandwalesprovisional
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    xlsxAvailable download formats
    Dataset updated
    Jan 9, 2024
    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

    Provisional counts of the number of care home resident deaths registered in England and Wales, by region, including deaths involving coronavirus (COVID-19), in the latest weeks for which data are available.

  12. 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.

  13. Number of deaths in care homes notified to the Care Quality Commission,...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 1, 2023
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    Office for National Statistics (2023). Number of deaths in care homes notified to the Care Quality Commission, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/numberofdeathsincarehomesnotifiedtothecarequalitycommissionengland
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    xlsxAvailable download formats
    Dataset updated
    Aug 1, 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

    Provisional counts of deaths in care homes caused by coronavirus (COVID-19) by local authority. Published by the Office for National Statistics and Care Quality Commission.

  14. t

    Privacy-Sensitive Conversations between Care Workers and Care Home Residents...

    • test.researchdata.tuwien.ac.at
    • researchdata.tuwien.ac.at
    • +1more
    bin, text/markdown
    Updated Dec 6, 2024
    + more versions
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    Reinhard Grabler; Michael Starzinger; Matthias Hirschmanner; Matthias Hirschmanner; Helena Anna Frijns; Helena Anna Frijns; Reinhard Grabler; Michael Starzinger; Reinhard Grabler; Michael Starzinger; Reinhard Grabler; Michael Starzinger (2024). Privacy-Sensitive Conversations between Care Workers and Care Home Residents in a Residential Care Home [Dataset]. http://doi.org/10.70124/hbtq5-ykv92
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    bin, text/markdownAvailable download formats
    Dataset updated
    Dec 6, 2024
    Dataset provided by
    TU Wien
    Authors
    Reinhard Grabler; Michael Starzinger; Matthias Hirschmanner; Matthias Hirschmanner; Helena Anna Frijns; Helena Anna Frijns; Reinhard Grabler; Michael Starzinger; Reinhard Grabler; Michael Starzinger; Reinhard Grabler; Michael Starzinger
    License

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

    Time period covered
    Apr 2024 - Aug 2024
    Description

    Dataset Card for "privacy-care-interactions"

    Table of Contents

    Dataset Description

    Purpose and Features

    🔒 Collection of Privacy-Sensitive Conversations between Care Workers and Care Home Residents in an Residential Care Home 🔒

    The dataset is useful to train and evaluate models to identify and classify privacy-sensitive parts of conversations from text, especially in the context of AI assistants and LLMs.

    Dataset Overview

    Language Distribution 🌍

    • English (en): 95

    Locale Distribution 🌎

    • United States (US) 🇺🇸: 95

    Key Facts 🔑

    • This is synthetic data! Generated using proprietary algorithms - no privacy violations!
    • Conversations are classified following the taxonomy for privacy-sensitive robotics by Rueben et al. (2017).
    • The data was manually labeled by an expert.

    Dataset Structure

    Data Instances

    The provided data format is .jsonl, the JSON Lines text format, also called newline-delimited JSON. An example entry looks as follows.

    { "text": "CW: Have you ever been to Italy? CR: Oh, yes... many years ago.", "taxonomy": 0, "category": 0, "affected_speaker": 1, "language": "en", "locale": "US", "data_type": 1, "uid": 16, "split": "train" }

    Data Fields

    The data fields are:

    • text: a string feature. The abbreviaton of the speakers refer to the care worker (CW) and the care recipient (CR).
    • taxonomy: a classification label, with possible values including informational (0), invasion (1), collection (2), processing (3), dissemination (4), physical (5), personal-space (6), territoriality (7), intrusion (8), obtrusion (9), contamination (10), modesty (11), psychological (12), interrogation (13), psychological-distance (14), social (15), association (16), crowding-isolation (17), public-gaze (18), solitude (19), intimacy (20), anonymity (21), reserve (22). The taxonomy is derived from Rueben et al. (2017). The classifications were manually labeled by an expert.
    • category: a classification label, with possible values including personal-information (0), family (1), health (2), thoughts (3), values (4), acquaintance (5), appointment (6). The privacy category affected in the conversation. The classifications were manually labeled by an expert.
    • affected_speaker: a classification label, with possible values including care-worker (0), care-recipient (1), other (2), both (3). The speaker whose privacy is impacted during the conversation. The classifications were manually labeled by an expert.
    • language: a string feature. Language code as defined by ISO 639.
    • locale: a string feature. Regional code as defined by ISO 3166-1 alpha-2.
    • data_type: a string a classification label, with possible values including real (0), synthetic (1).
    • uid: a int64 feature. A unique identifier within the dataset.
    • split: a string feature. Either train, validation or test.

    Dataset Splits

    The dataset has 2 subsets:

    • split: with a total of 95 examples split into train, validation and test (70%-15%-15%)
    • unsplit: with a total of 95 examples in a single train split
    nametrainvalidationtest
    split661415
    unsplit95n/an/a

    The files follow the naming convention subset-split-language.jsonl. The following files are contained in the dataset:

    • split-train-en.jsonl
    • split-validation-en.jsonl
    • split-test-en.jsonl
    • unsplit-train-en.jsonl

    Dataset Creation

    Curation Rationale

    Recording audio of care workers and residents during care interactions, which includes partial and full body washing, giving of medication, as well as wound care, is a highly privacy-sensitive use case. Therefore, a dataset is created, which includes privacy-sensitive parts of conversations, synthesized from real-world data. This dataset serves as a basis for fine-tuning a local LLM to highlight and classify privacy-sensitive sections of transcripts created in care interactions, to further mask them to protect privacy.

    Source Data

    Initial Data Collection

    The intial data was collected in the project Caring Robots of TU Wien in cooperation with Caritas Wien. One project track aims to facilitate Large Languge Models (LLM) to support documentation of care workers, with LLM-generated summaries of audio recordings of interactions between care workers and care home residents. The initial data are the transcriptions of those care interactions.

    Data Processing

    The transcriptions were thoroughly reviewed, and sections containing privacy-sensitive information were identified and marked using qualitative data analysis software by two experts. Subsequently, the accessible portions of the interviews were translated from German to US English using the locally executed LLM icky/translate. In the next step, another llama3.1:70b was used locally to synthesize the conversation segments. This process involved generating similar, yet distinct and new, conversations that are not linked to the original data. The dataset was split using the train_test_split function from the <a href="https://scikit-learn.org/1.5/modules/generated/sklearn.model_selection.train_test_split.html" target="_blank"

  15. O

    COVID-19 Nursing Home Summary - ARCHIVE

    • data.ct.gov
    • catalog.data.gov
    application/rdfxml +5
    Updated Jun 1, 2023
    + more versions
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    CT DPH (2023). COVID-19 Nursing Home Summary - ARCHIVE [Dataset]. https://data.ct.gov/w/u77n-bgux/wqz6-rhce?cur=ZLwf6gnsYbb
    Explore at:
    csv, application/rssxml, xml, application/rdfxml, json, tsvAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset authored and provided by
    CT DPH
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    As of 6/1/2023, this data set is no longer being updated.

    Connecticut nursing homes are required by the Centers for Medicare and Medicaid Services (CMS) to report on the impact of COVID-19 on their residents and staff through CDC’s National Healthcare Safety Network (NHSN). This reporting is intended to reflect recent COVID-19 activity in nursing homes.

    Data presented here from NHSN reflect resident and staff COVID-19 cases and COVID-related deaths reported for Connecticut nursing homes for the previous week, Thursday–Wednesday. All nursing homes follow NHSN definitions and instructions when reporting to the NHSN COVID-19 module, ensuring data are reported in a systematic way. These data do not show where the resident or staff got infected.

    Detailed information about COVID-19 reporting for nursing homes and NHSN can be found here: https://www.cdc.gov/nhsn/ltc/covid19/index.html

  16. s

    Residential homes for older people, clients aged 0-64, on 31 Dec - Datasets...

    • store.smartdatahub.io
    Updated Mar 8, 2019
    + more versions
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    (2019). Residential homes for older people, clients aged 0-64, on 31 Dec - Datasets - This service has been deprecated - please visit https://www.smartdatahub.io/ to access data. See the About page for details. // [Dataset]. https://store.smartdatahub.io/dataset/fi_sotkanet_residential_homes_for_older_people_clients_aged_0_64_on_31_dec
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    Dataset updated
    Mar 8, 2019
    Description

    Residential homes for older people, clients aged 0-64, on 31 Dec Tables Residential Homes For Older People Clients Aged 0 64 On 31 DecTSV The indicator gives the number of clients aged 0-64 who live in residential homes for older people at the end of the year .Residential home care:Institutional care for older people in social care (the unit has been defined as an institution by the Social Insurance Institution).

  17. Centers for Medicare & Medicaid Services - Nursing Homes

    • hub.arcgis.com
    • explore-vcbb.hub.arcgis.com
    Updated Mar 18, 2021
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    Esri U.S. Federal Datasets (2021). Centers for Medicare & Medicaid Services - Nursing Homes [Dataset]. https://hub.arcgis.com/maps/fedmaps::centers-for-medicare-medicaid-services-nursing-homes
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    Dataset updated
    Mar 18, 2021
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Centers for Medicare & Medicaid Services - Nursing HomesThis feature layer, utilizing data from the Centers for Medicare & Medicaid Services (CMS), displays the locations of nursing homes in the U.S. Nursing homes provide a type of residential care. They are a place of residence for people who require constant nursing care and have significant deficiencies with activities of daily living. Per CMS, "Nursing homes, which include Skilled Nursing Facilities (SNFs) and Nursing Facilities (NFs), are required to be in compliance with Federal requirements to receive payment under the Medicare or Medicaid programs. The Secretary of the United States Department of Health & Human Services has delegated to the CMS and the State Medicaid Agency the authority to impose enforcement remedies against a nursing home that does not meet Federal requirements." This layer includes currently active nursing homes, including number of certified beds, address, and other information.Bridgepoint Sub-Acute and Rehab Capitol HillData downloaded: August 1, 2024Data source: Provider InformationData modification: This dataset includes only those facilities with addresses that were appropriately geocoded.For more information: Nursing homes including rehab servicesFor feedback, please contact: ArcGIScomNationalMaps@esri.comCenters for Medicare & Medicaid ServicesPer USA.gov, "The Centers for Medicare and Medicaid Services (CMS) provides health coverage to more than 100 million people through Medicare, Medicaid, the Children’s Health Insurance Program, and the Health Insurance Marketplace. The CMS seeks to strengthen and modernize the Nation’s health care system, to provide access to high quality care and improved health at lower costs."

  18. d

    Care for Elderly People at Home, 1989 - Dataset - B2FIND

    • b2find.dkrz.de
    Updated Oct 23, 2023
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    (2023). Care for Elderly People at Home, 1989 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/4beff1ac-60c6-59e9-8c8c-61e9fdcc5830
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    Dataset updated
    Oct 23, 2023
    Description

    Abstract copyright UK Data Service and data collection copyright owner. The main aim of the Care for Elderly People at Home project was to explore new ways to help elderly people at risk of failing to cope, to remain in their own homes. An important assumption underlying the approach of the project was that for elderly people in particular, health problems are intimately tied in with their social situation and needs cannot be simply categorised as social' ormedical'. `Care coordinators' under the project gathered and exchanged information on services and resources, assessed the individual needs of elderly people and gathered information for research purposes both on the effect of services and their general availability and appropriateness.

  19. Dataset: quality of life of volunteers, residents, and employees of a...

    • figshare.com
    bin
    Updated Apr 25, 2022
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    Luisa Veras de Sandes-Guimarães (2022). Dataset: quality of life of volunteers, residents, and employees of a long-term care institution [Dataset]. http://doi.org/10.6084/m9.figshare.19652898.v1
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    binAvailable download formats
    Dataset updated
    Apr 25, 2022
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    Luisa Veras de Sandes-Guimarães
    License

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

    Description

    Dataset for the paper assessing the impact of the return of volunteer-led activities on the quality of life of volunteers, residents, and employees of a long-term care institution.

  20. g

    Home help in own home and assisted living/nursing home, share of population...

    • gimi9.com
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    Home help in own home and assisted living/nursing home, share of population aged 67 and over by municipality group and services | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_dst-laby20
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    Description

    StatBank dataset: LABY20 Title: Home help in own home and assisted living/nursing home, share of population aged 67 and over by municipality group and services Period type: years Period format (time in data): yyyy The oldest period: 2022 The most recent period: 2023

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State of Maryland (2024). MD COVID-19 - Total Cases in Congregate Facility Settings (Nursing Homes, Assisted Living, State and Local Facilities and Group Homes with +10 Residents) [Dataset]. https://datasets.ai/datasets/md-covid-19-total-cases-in-congregate-facility-settings-nursing-homes-assisted-living-stat

MD COVID-19 - Total Cases in Congregate Facility Settings (Nursing Homes, Assisted Living, State and Local Facilities and Group Homes with +10 Residents)

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23, 8, 40, 55Available download formats
Dataset updated
Sep 20, 2024
Dataset authored and provided by
State of Maryland
Area covered
Maryland
Description

Summary This layer has been DEPRECATED. (last updated 12/1/2021). Was formerly a weekly update.

The Outbreak-Associated Cases in Congregate Living data dashboard on coronavirus.maryland.gov was redesigned on 11/17/21 to align with other outbreak reporting. Visit https://opendata.maryland.gov/dataset/MD-COVID-19-Congregate-Outbreak/ey5n-qn5s to view Outbreak-Associated Cases in Congregate Living data as reported after 11/17/21.

Confirmed COVID-19 cases among Maryland residents who live and work in congregate living facilities in Maryland for the reporting period.

Description The MD COVID-19 - Total Cases in Congregate Facility Settings data layer is a total of positive COVID-19 test results have been reported to MDH in nursing homes, assisted living facilities, group homes of 10 or more and state and local facilities for the reporting period. Data are reported to MDH by local health departments, the Department of Public Safety and Correctional Services and the Department of Juvenile Services. To appear on the list, facilities report at least one confirmed case of COVID-19 over the prior 14 days. Facilities are removed from the list when health officials determine 14 days have passed with no new cases and no tests pending. The list provides a point-in-time picture of COVID-19 case activity among these facilities. Numbers reported for each facility listed reflect totals ever reported for cases. Data are updated once weekly.

Terms of Use The Spatial Data, and the information therein, (collectively the "Data") is provided "as is" without warranty of any kind, either expressed, implied, or statutory. The user assumes the entire risk as to quality and performance of the Data. No guarantee of accuracy is granted, nor is any responsibility for reliance thereon assumed. In no event shall the State of Maryland be liable for direct, indirect, incidental, consequential or special damages of any kind. The State of Maryland does not accept liability for any damages or misrepresentation caused by inaccuracies in the Data or as a result to changes to the Data, nor is there responsibility assumed to maintain the Data in any manner or form. The Data can be freely distributed as long as the metadata entry is not modified or deleted. Any data derived from the Data must acknowledge the State of Maryland in the metadata.

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