100+ datasets found
  1. Reduced Access to Care During COVID-19

    • catalog.data.gov
    • data.virginia.gov
    • +5more
    Updated Apr 23, 2025
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    Centers for Disease Control and Prevention (2025). Reduced Access to Care During COVID-19 [Dataset]. https://catalog.data.gov/dataset/reduced-access-to-care-during-covid-19
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

  2. Leading problems in the U.S. healthcare system 2024

    • statista.com
    Updated Nov 8, 2024
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    Statista (2024). Leading problems in the U.S. healthcare system 2024 [Dataset]. https://www.statista.com/statistics/917159/leading-problems-healthcare-system-us/
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    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 26, 2024 - Aug 9, 2024
    Area covered
    United States
    Description

    A 2024 survey found that over half of U.S. individuals indicated the cost of accessing treatment was the biggest problem facing the national healthcare system. This is much higher than the global average of 32 percent and is in line with the high cost of health care in the U.S. compared to other high-income countries. Bureaucracy along with a lack of staff were also considered to be pressing issues. This statistic reveals the share of individuals who said select problems were the biggest facing the health care system in the United States in 2024.

  3. Health, lifestyle, health care use and supply, causes of death; key figures

    • data.overheid.nl
    • cbs.nl
    • +1more
    atom, json
    Updated Apr 7, 2025
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    Centraal Bureau voor de Statistiek (Rijk) (2025). Health, lifestyle, health care use and supply, causes of death; key figures [Dataset]. https://data.overheid.nl/dataset/4268-health--lifestyle--health-care-use-and-supply--causes-of-death--key-figures
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    atom(KB), json(KB)Available download formats
    Dataset updated
    Apr 7, 2025
    Dataset provided by
    Statistics Netherlands
    License

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

    Description

    This table provides an overview of the key figures on health and care available on StatLine. All figures are taken from other tables on StatLine, either directly or through a simple conversion. In the original tables, breakdowns by characteristics of individuals or other variables are possible. The period after the year of review before data become available differs between the data series. The number of exam passes/graduates in year t is the number of persons who obtained a diploma in school/study year starting in t-1 and ending in t.

    Data available from: 2001

    Status of the figures:

    2024: Most available figures are definite. Figures are provisional for: - causes of death; - youth care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university).

    2023: Most available figures are definite. Figures are provisional for: - perinatal mortality at pregnancy duration at least 24 weeks; - diagnoses known to the general practitioner; - hospital admissions by some diagnoses; - average period of hospitalisation; - supplied drugs; - AWBZ/Wlz-funded long term care; - physicians and nurses employed in care; - persons employed in health and welfare; - average distance to facilities; - profitability and operating results at institutions. Figures are revised provisional for: - expenditures on health and welfare.

    2022: Most available figures are definite. Figures are revised provisional for: - expenditures on health and welfare.

    2021: Most available figures are definite, Figures are revised provisional for: - expenditures on health and welfare.f

    2020 and earlier: All available figures are definite.

    Changes as of 4 July 2025: More recent figures have been added for: - causes of death; - life expectancy; - life expectancy in perceived good health; - self-perceived health; - hospital admissions by some diagnoses; - sickness absence; - average period of hospitalisation; - contacts with health professionals; - youth care; - smoking, heavy drinkers, physical activity; - overweight; - high blood pressure; - physicians and nurses employed in care; - persons employed in health and welfare; - persons employed in healthcare; - Mbo health care graduates; - Hbo nursing graduates / medicine graduates (university); - expenditures on health and welfare; - profitability and operating results at institutions.

    Changes as of 18 december 2024: - Distance to facilities: the figures withdrawn on 5 June have been replaced (unchanged). - Youth care: the previously published final results for 2021 and 2022 have been adjusted due to improvements in the processing. - Due to a revision of the statistics Expenditure on health and welfare 2021, figures for expenditure on health and welfare care have been replaced from 2021 onwards. - Due to the revision of the National Accounts, the figures on persons employed in health and welfare have been replaced for all years. - AWBZ/Wlz-funded long term care: from 2015, the series Wlz residential care including total package at home has been replaced by total Wlz care. This series fits better with the chosen demarcation of indications for Wlz care.

    When will new figures be published? New figures will be published in December 2025.

  4. e

    Statistics on private healthcare

    • en.eustat.eus
    Updated May 23, 2015
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    (2015). Statistics on private healthcare [Dataset]. en.eustat.eus/banku/id_2339/indexLista.html
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    Dataset updated
    May 23, 2015
    Description

    This statistic, biennative and censal in nature, allows, from the Free Insurance Entities operating in the C.A. of the Basque Country, to give information on the main magnitudes of insurance in health care (insured persons, premiums and type of insurance)

  5. US Healthcare Visits Statistics

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). US Healthcare Visits Statistics [Dataset]. https://www.johnsnowlabs.com/marketplace/us-healthcare-visits-statistics/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Area covered
    United States
    Description

    The US Healthcare Visits Statistics dataset includes data about the frequency of healthcare visits to doctor offices, emergency departments, and home visits within the past 12 months in the United States by age, race, Hispanic origin, poverty level, health insurance status, geographic region and other characteristics between 1997 and 2016.

  6. o

    National Neighborhood Data Archive (NaNDA): Health Care Services by Census...

    • openicpsr.org
    Updated Feb 25, 2020
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    Anam Khan; Mao Li; Jessica Finlay; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth (2020). National Neighborhood Data Archive (NaNDA): Health Care Services by Census Tract, United States, 2003-2017 [Dataset]. http://doi.org/10.3886/E120907V2
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    Dataset updated
    Feb 25, 2020
    Dataset provided by
    University of Michigan. Institute for Social Research
    Authors
    Anam Khan; Mao Li; Jessica Finlay; Michael Esposito; Iris Gomez-Lopez; Philippa Clarke; Megan Chenoweth
    License

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

    Area covered
    United States
    Description

    This dataset describes the number and density of health care services in each census tract in the United States. The data includes counts, per capita densities, and area densities per tract for many types of businesses in the health care sector, including doctors, dentists, mental health providers, hospitals, nursing homes, and pharmacies.

  7. Number of large-scale data breaches in the U.S. healthcare industry...

    • statista.com
    Updated Oct 14, 2024
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    Statista (2024). Number of large-scale data breaches in the U.S. healthcare industry 2009-2024 [Dataset]. https://www.statista.com/statistics/1274594/us-healthcare-data-breaches/
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    Dataset updated
    Oct 14, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    Between January and September 2024, healthcare organizations in the United States saw 491 large-scale data breaches, resulting in the loss of over 500 records. This figure has increased significantly in the last decade. To date, the highest number of large-scale data breaches in the U.S. healthcare sector was recorded in 2023, with a reported 745 cases.

  8. a

    Health Care Statistics

    • sherman-open-data-cityofsherman.hub.arcgis.com
    Updated Nov 15, 2022
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    City of Sherman, Texas (2022). Health Care Statistics [Dataset]. https://sherman-open-data-cityofsherman.hub.arcgis.com/documents/89eba46f3e6d4e9bb6f82239029b8b4e
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    Dataset updated
    Nov 15, 2022
    Dataset authored and provided by
    City of Sherman, Texas
    Description

    Infographics: City of Sherman

  9. Mental Health Care in the Last 4 Weeks

    • catalog.data.gov
    • healthdata.gov
    • +2more
    Updated Apr 23, 2025
    + more versions
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    Centers for Disease Control and Prevention (2025). Mental Health Care in the Last 4 Weeks [Dataset]. https://catalog.data.gov/dataset/mental-health-care-in-the-last-4-weeks
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    Dataset updated
    Apr 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Description

    The U.S. Census Bureau, in collaboration with five federal agencies, launched the Household Pulse Survey to produce data on the social and economic impacts of Covid-19 on American households. The Household Pulse Survey was designed to gauge the impact of the pandemic on employment status, consumer spending, food security, housing, education disruptions, and dimensions of physical and mental wellness. The survey was designed to meet the goal of accurate and timely weekly estimates. It was conducted by an internet questionnaire, with invitations to participate sent by email and text message. The sample frame is the Census Bureau Master Address File Data. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond for him or herself. Estimates are weighted to adjust for nonresponse and to match Census Bureau estimates of the population by age, gender, race and ethnicity, and educational attainment. All estimates shown meet the NCHS Data Presentation Standards for Proportions.

  10. Uses of LLMs in healthcare organizations in the United States 2024

    • statista.com
    Updated Feb 21, 2025
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    Statista Research Department (2025). Uses of LLMs in healthcare organizations in the United States 2024 [Dataset]. https://www.statista.com/topics/10011/ai-in-healthcare/
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    As of 2024, at least one fifth of respondents working in healthcare organizations reported that they used large language models for answering patient questions and medical chatbots. Furthermore, 18 percent of healthcare organizations used LLMs for biomedical research.

  11. F

    All Employees, Home Health Care Services

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
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    (2025). All Employees, Home Health Care Services [Dataset]. https://fred.stlouisfed.org/series/CES6562160001
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees, Home Health Care Services (CES6562160001) from Jan 1985 to Aug 2025 about health, education, establishment survey, services, employment, and USA.

  12. Home health care and related services, summary statistics

    • www150.statcan.gc.ca
    • open.canada.ca
    Updated Jul 31, 2019
    + more versions
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    Government of Canada, Statistics Canada (2019). Home health care and related services, summary statistics [Dataset]. http://doi.org/10.25318/1310016201-eng
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    Dataset updated
    Jul 31, 2019
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    The summary statistics by North American Industry Classification System (NAICS) which include: operating revenue (dollars x 1,000,000), operating expenses (dollars x 1,000,000), salaries wages and benefits (dollars x 1,000,000), and operating profit margin (by percent), for home health care services (NAICS 621610) and services for the elderly and persons with disabilities (NAICS 624120), annual, Canada.

  13. E

    Primary and secondary care data (outpatient database)

    • healthinformationportal.eu
    html
    Updated Apr 28, 2022
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    Nacionalni Inštitut za Javno Zdravje (NIJZ) (2022). Primary and secondary care data (outpatient database) [Dataset]. https://www.healthinformationportal.eu/health-information-sources/primary-and-secondary-care-data-outpatient-database
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    htmlAvailable download formats
    Dataset updated
    Apr 28, 2022
    Dataset authored and provided by
    Nacionalni Inštitut za Javno Zdravje (NIJZ)
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Variables measured
    sex, title, topics, acronym, country, funding, language, data_owners, description, contact_name, and 16 more
    Measurement technique
    Administrative data
    Dataset funded by
    <p>State Budget</p>
    Description

    The purpose of the collection of outpatient health statistics is to monitor, evaluate and plan curative and preventive health care at the primary and secondary level of health care system.


    Data on outpatient statistics are an important source of information for population health monitoring indicators
    and accessibility of outpatient health care activities in Slovenia. Health care providers collect data for each individual contact of the patients with the health service. It is reported by public and private healthcare providers.

    Outpatient health statistics record contacts and services at general practicioners and specialist outpatient activities at the secondary level.

  14. b

    Health App Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Jun 2, 2023
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    Business of Apps (2023). Health App Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/health-app-market/
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    Dataset updated
    Jun 2, 2023
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    Keeping track of your health is, for many people, a continuous task. Monitoring what you eat, how often you exercise and how much water you drink can be time-consuming, fortunately there are tens of...

  15. k

    Health Nutrition and Population Statistics

    • datasource.kapsarc.org
    Updated Oct 17, 2025
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    (2025). Health Nutrition and Population Statistics [Dataset]. https://datasource.kapsarc.org/explore/dataset/worldbank-health-nutrition-and-population-statistics/
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    Dataset updated
    Oct 17, 2025
    Description

    Explore World Bank Health, Nutrition and Population Statistics dataset featuring a wide range of indicators such as School enrollment, UHC service coverage index, Fertility rate, and more from countries like Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

    School enrollment, tertiary, UHC service coverage index, Wanted fertility rate, People with basic handwashing facilities, urban population, Rural population, AIDS estimated deaths, Domestic private health expenditure, Fertility rate, Domestic general government health expenditure, Age dependency ratio, Postnatal care coverage, People using safely managed drinking water services, Unemployment, Lifetime risk of maternal death, External health expenditure, Population growth, Completeness of birth registration, Urban poverty headcount ratio, Prevalence of undernourishment, People using at least basic sanitation services, Prevalence of current tobacco use, Urban poverty headcount ratio, Tuberculosis treatment success rate, Low-birthweight babies, Female headed households, Completeness of birth registration, Urban population growth, Antiretroviral therapy coverage, Labor force, and more.

    Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

    Follow data.kapsarc.org for timely data to advance energy economics research.

  16. Clinicians' opinions on desirable features of healthcare in future worldwide...

    • statista.com
    Updated Feb 21, 2025
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    Conor Stewart (2025). Clinicians' opinions on desirable features of healthcare in future worldwide 2023 [Dataset]. https://www.statista.com/topics/10011/ai-in-healthcare/
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    Dataset updated
    Feb 21, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Conor Stewart
    Description

    According to a survey carried out in 2023, around three-quarters of physicians believed physicians becoming experts in using digital health technology would be desirable. Furthermore, 55 percent said telehealth being the main mechanism for routine check-ups would be desirable.

  17. F

    All Employees, Ambulatory Health Care Services

    • fred.stlouisfed.org
    json
    Updated Sep 5, 2025
    + more versions
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    (2025). All Employees, Ambulatory Health Care Services [Dataset]. https://fred.stlouisfed.org/series/CEU6562100001
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    jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for All Employees, Ambulatory Health Care Services (CEU6562100001) from Jan 1990 to Aug 2025 about ambulatory, health, establishment survey, education, services, employment, and USA.

  18. F

    Total Revenue for Health Care and Social Assistance, All Establishments

    • fred.stlouisfed.org
    json
    Updated Sep 12, 2025
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    (2025). Total Revenue for Health Care and Social Assistance, All Establishments [Dataset]. https://fred.stlouisfed.org/series/REV62ALLEST144QNSA
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    jsonAvailable download formats
    Dataset updated
    Sep 12, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Total Revenue for Health Care and Social Assistance, All Establishments (REV62ALLEST144QNSA) from Q1 2009 to Q2 2025 about social assistance, revenue, establishments, health, and USA.

  19. d

    Synthetic: National Population Health Survey, 2000-2001 [Canada]: Cycle 4

    • search.dataone.org
    Updated Dec 28, 2023
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    Statistics Canada (2023). Synthetic: National Population Health Survey, 2000-2001 [Canada]: Cycle 4 [Dataset]. http://doi.org/10.5683/SP3/V48E1K
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Time period covered
    Jan 1, 2000 - Jan 1, 2001
    Area covered
    Canada
    Description

    Please note: This is a Synthetic data file, also known as a Dummy file - it is not real data. This synthetic file should not be used for purposes other than to develop an test computer programs that are to be submitted by remote access. Each record in the synthetic file matches the format and content parameters of the real Statistics Canada Master File with which it is associated, but the data themselves have been 'made up'. They do NOT represent responses from real individuals and should NOT be used for actual analysis. These data are provided solely for the purpose of testing statistical package 'code' (e.g. SPSS syntax, SAS programs, etc.) in preperation for analysis using the associated Master File in a Research Data Centre, by Remote Job Submission, or by some other means of secure access. If statistical analysis 'code' works with the synthetic data, researchers can have some confidence that the same code will run successfully against the Master File data in the Resource Data Centres. In the fall of 1991, the National Health Information Council recommended that an ongoing national survey of population health be conducted. This recommendation was based on consideration of the economic and fiscal pressures on the health care systems and the requirement for information with which to improve the health status of the population in Canada. Commencing in April 1992, Statistics Canada received funding for development of a National Population Health Survey (NPHS). The NPHS collects information related to the health of the Canadian population and related socio-demographic information to: aid in the development of public policy by providing measures of the level, trend and distribution of the health status of the population, provide data for analytic studies that will assist in understanding the determinants of health, and collect data on the economic, social, demographic, occupational and environmental correlates of health. In addition the NPHS seeks to increase the understanding of the relationship between health status and health care utilization, including alternative as well as traditional services, and also to allow the possibility of linking survey data to routinely collected administrative data such as vital statistics, environmental measures, community variables, and health services utilization. The NPHS collects information related to the health of the Canadian population and related socio-demographic information. It is composed of three components: the Households, the Health Institutions, and the North components. The Household component started in 1994/1995 and is conducted every two years. The first three cycles (1994/1995, 1996/1997, 1997/1998) were both cross-sectional and longitudinal. The NPHS longitudinal sample includes 17,276 persons from all ages in 1994/1995 and these same persons are to be interviewed every two years. Beginning in Cycle 4 (2000/2001) the survey became strictly longitudinal (collecting health information from the same individuals each cycle). The cross-sectional and longitudinal documentation of the Household component is presented separately as well as the documentation for the Health Institutions and North components. The cross-sectional component of the Population Health Survey Program has been taken over by the Canadian Community Health Survey (CCHS). With the introduction of the Canadian Community Health Survey (CCHS), there were many changes to the 2000-2001 National Population Health Survey - Household questionnaire. Since NPHS is strictly a longitudinal survey, some content was migrated to the CCHS (such as the two-week disability section and certain questions on place where health care was provided) or was dropped (e.g. certain chronic conditions), while the order of the questionnaire changed. As only the longitudinal respondent is now surveyed, it was no longer necessary to distinguish between the General questionnaire and the Health component. Health Canada, Public Health Agency of Canada and provincial ministries of health use NPHS longitudinal data to plan, implement and evaluate programs and health policies to improve health and the efficiency of health services. Non-profit health organizations and researchers in the academic fields use the information to move research ahead and to improve health.

  20. Economic Census: Health Care and Social Assistance: Ownership and Control of...

    • catalog.data.gov
    Updated Jul 19, 2023
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    U.S. Census Bureau (2023). Economic Census: Health Care and Social Assistance: Ownership and Control of Government Hospitals for the U.S.: 2017 [Dataset]. https://catalog.data.gov/dataset/economic-census-health-care-and-social-assistance-ownership-and-control-of-government-hosp
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    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    United States
    Description

    This dataset presents statistics for Health Care and Social Assistance: Ownership and Control of Government Hospitals for the U.S.

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Centers for Disease Control and Prevention (2025). Reduced Access to Care During COVID-19 [Dataset]. https://catalog.data.gov/dataset/reduced-access-to-care-during-covid-19
Organization logo

Reduced Access to Care During COVID-19

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 23, 2025
Dataset provided by
Centers for Disease Control and Preventionhttp://www.cdc.gov/
Description

The Research and Development Survey (RANDS) is a platform designed for conducting survey question evaluation and statistical research. RANDS is an ongoing series of surveys from probability-sampled commercial survey panels used for methodological research at the National Center for Health Statistics (NCHS). RANDS estimates are generated using an experimental approach that differs from the survey design approaches generally used by NCHS, including possible biases from different response patterns and sampling frames as well as increased variability from lower sample sizes. Use of the RANDS platform allows NCHS to produce more timely data than would be possible using traditional data collection methods. RANDS is not designed to replace NCHS’ higher quality, core data collections. Below are experimental estimates of reduced access to healthcare for three rounds of RANDS during COVID-19. Data collection for the three rounds of RANDS during COVID-19 occurred between June 9, 2020 and July 6, 2020, August 3, 2020 and August 20, 2020, and May 17, 2021 and June 30, 2021. Information needed to interpret these estimates can be found in the Technical Notes. RANDS during COVID-19 included questions about unmet care in the last 2 months during the coronavirus pandemic. Unmet needs for health care are often the result of cost-related barriers. The National Health Interview Survey, conducted by NCHS, is the source for high-quality data to monitor cost-related health care access problems in the United States. For example, in 2018, 7.3% of persons of all ages reported delaying medical care due to cost and 4.8% reported needing medical care but not getting it due to cost in the past year. However, cost is not the only reason someone might delay or not receive needed medical care. As a result of the coronavirus pandemic, people also may not get needed medical care due to cancelled appointments, cutbacks in transportation options, fear of going to the emergency room, or an altruistic desire to not be a burden on the health care system, among other reasons. The Household Pulse Survey (https://www.cdc.gov/nchs/covid19/pulse/reduced-access-to-care.htm), an online survey conducted in response to the COVID-19 pandemic by the Census Bureau in partnership with other federal agencies including NCHS, also reports estimates of reduced access to care during the pandemic (beginning in Phase 1, which started on April 23, 2020). The Household Pulse Survey reports the percentage of adults who delayed medical care in the last 4 weeks or who needed medical care at any time in the last 4 weeks for something other than coronavirus but did not get it because of the pandemic. The experimental estimates on this page are derived from RANDS during COVID-19 and show the percentage of U.S. adults who were unable to receive medical care (including urgent care, surgery, screening tests, ongoing treatment, regular checkups, prescriptions, dental care, vision care, and hearing care) in the last 2 months. Technical Notes: https://www.cdc.gov/nchs/covid19/rands/reduced-access-to-care.htm#limitations

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