17 datasets found
  1. F

    All Employees, Nursing and Residential Care Facilities

    • fred.stlouisfed.org
    json
    Updated Aug 1, 2025
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    (2025). All Employees, Nursing and Residential Care Facilities [Dataset]. https://fred.stlouisfed.org/series/CEU6562300001
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    jsonAvailable download formats
    Dataset updated
    Aug 1, 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, Nursing and Residential Care Facilities (CEU6562300001) from Jan 1990 to Jul 2025 about nursing homes, nursing, health, establishment survey, education, residential, services, employment, and USA.

  2. g

    Newly Licensed Registered Nurse New Cohort 2 Survey, 2012 - Version 2

    • search.gesis.org
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    Inter-University Consortium for Political and Social Research, Newly Licensed Registered Nurse New Cohort 2 Survey, 2012 - Version 2 [Dataset]. http://doi.org/10.3886/ICPSR36820.v2
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    Dataset provided by
    Inter-University Consortium for Political and Social Research
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de738427https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de738427

    Description

    Abstract (en): The Newly Licensed Registered Nurse New Cohort 2 Survey, 2012 is the second wave of a multi-wave panel survey that studied newly licensed registered nurses who obtained their first license to practice between August 1, 2010 and July 31, 2011. It was conducted as part of the RN Work Project, a national study of new nurses funded by the Robert Wood Johnson Foundation. The survey interviewed the nurses about their jobs, turnover, education, intentions and attitudes--including intent, satisfaction, organizational commitment, and preferences about work. The Newly Licensed Registered Nurse New Cohort 2 Survey, 2012 and the full series sought to accomplish three main objectives:

    Describe newly licensed registered nurses' changes in work patterns and factors associated with those changes over an extended time period by following the panel from our current Robert Wood Johnson Foundation funded study for an additional six years.; Compare educational background, work setting, and work satisfaction among three different cohorts of NLRN.; Describe the training about patient safety of NLRNs employed in hospitals. The primary advantage of cohort data is to find out how groups graduating in different years are more or less similar. That information provides with an indication of changes in the environment or in those people who choose nursing as a career. Collecting data on two additional cohorts will help us separate the threats to internal validity of history versus maturational effects.; Panel data was used for this study and all others in the series because it made it possible to determine the similarities and differencies in groups graduating in different years. That information provides an indication of changes in the environment or in those people who choose nursing as a career. Collecting data on two additional cohorts helped the researchers separate the threats to internal validity of history versus maturational effects. Princeton Survey Research Associates International (PSRAI) determined the distribution of nurses by site needed in order to achieve a minimum of 1,500 completed surveys. Each nurse was assigned a random number. This list was then organized by each of the 27 sites and sorted according to random numbers. The first N (number of respondents needed) were selected from each site. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Performed consistency checks.; Checked for undocumented or out-of-range codes.. Presence of Common Scales: Large variety of scales from literature and questions identical to HRSA National Sample Survey - RNs 2005. Response Rates: 47% Datasets:DS1: Dataset Newly licensed registered nurses who obtained their first license to practice between August 1, 2010 and July 31, 2011. Smallest Geographic Unit: Region The sample design for the New Cohort 2 study sampled new RNs residing in 22 MSAs and 2 rural counties in 14 states across the country. For additional information please refer to the User Guide. 2020-02-20 Online variable search capabilities have been added for this study. Funding institution(s): Robert Wood Johnson Foundation (51120). mail questionnaire

  3. f

    Data from: Occupational stress in nursing professionals of a university...

    • scielo.figshare.com
    xls
    Updated May 30, 2023
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    Lucas Carvalho Santana; Lúcia Aparecida Ferreira; Lenniara Pereira Mendes Santana (2023). Occupational stress in nursing professionals of a university hospital [Dataset]. http://doi.org/10.6084/m9.figshare.11966013.v1
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    xlsAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Lucas Carvalho Santana; Lúcia Aparecida Ferreira; Lenniara Pereira Mendes Santana
    License

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

    Description

    ABSTRACT Objectives: To identify the presence of occupational stress in nursing professionals of a university hospital in the inlands of the state of Minas Gerais and examine influence of sociodemographic and occupational characteristics in this disease. Methods: Cross-sectional, exploratory and quantitative study with 124 professional nurses from a university hospital in the inlands of the state of Minas Gerais. The adapted and validated Portuguese version of the Job Stress Scale (JSS) was used for the performance of the study. Results: Most professionals were women (87.9%) with a mean age of 40.2 years, 80.6% were nursing technicians and 71.8% of the sample had some degree of exposure to occupational stress. Conclusions: The occupational stress index was higher than that observed in previous studies. Data obtained in the study point to the need to implement institutional measures for the prevention of occupational stress, especially by strengthening social support at work.

  4. g

    Newly Licensed Registered Nurse Survey, 2006 - Version 3

    • search.gesis.org
    Updated Oct 30, 2020
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    GESIS search (2020). Newly Licensed Registered Nurse Survey, 2006 - Version 3 [Dataset]. http://doi.org/10.3886/ICPSR36773.v3
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    Dataset updated
    Oct 30, 2020
    Dataset provided by
    Inter-University Consortium for Political and Social Research
    GESIS search
    License

    https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de737164https://search.gesis.org/research_data/datasearch-httpwww-da-ra-deoaip--oaioai-da-ra-de737164

    Description

    Abstract (en): This is the first wave of a multi wave panel survey that studied newly licensed registered nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005. It was conducted as part of the RN Work Project, a national study of new nurses funded by the Robert Wood Johnson Foundation. The survey interviewed the nurses about their jobs, turnover, intentions and attitudes--including intent, satisfaction, organizational commitment, and preferences about work. ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Checked for undocumented or out-of-range codes.. Response Rates: 58 percent Datasets:DS1: Dataset Newly licensed registered nurses who obtained their first license to practice between September 1, 2004 and August 31, 2005. The wave 1 respondents were selected using a random stratified cluster design which mirrored the sampling design of the Community Tracking Study (ICPSR 2524, 2597, 3199, 3267, 3764, 3820, 4216 and 4584). The sample was nested in the 60 CTS sites (51 Metropolitan Statistical Areas and nine groups of non-MSA counties in 35 states across the contiguous United States) and was designed to select nurses with equal probabilities of selection across the sites. 2020-01-30 Online variable search capabilities have been added for this study.2017-09-28 Carol Brewer was added as a principal investigator of the study; documentation files were updated accordingly. Funding institution(s): Robert Wood Johnson Foundation (51120). mail questionnaire

  5. Registered nurse turnover rate in the U.S. 2024, by discipline

    • statista.com
    Updated May 7, 2025
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    Statista (2025). Registered nurse turnover rate in the U.S. 2024, by discipline [Dataset]. https://www.statista.com/statistics/1251525/registered-nurse-turnover-rate-in-hospitals-in-the-united-states/
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    Dataset updated
    May 7, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2024 - Dec 2024
    Area covered
    United States
    Description

    In 2024, the average turnover rate for registered nurses that worked in hospitals across the United States stood at **** percent. This was lower than the turnover rate of **** percent in 2022. According to this survey, the percentage of registered nurses (RN) that left hospitals in 2023 ranged from roughly ** percent to nearly ** percent, depending on the discipline. The highest RN turnover was found among Telemetry nurses. On the other hand, RN turnover was the lowest in Pediatrics.

  6. Z

    U.S. Registered Nurses Market By License Type (Licensed Practical Nurses...

    • zionmarketresearch.com
    pdf
    Updated Aug 12, 2025
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    Zion Market Research (2025). U.S. Registered Nurses Market By License Type (Licensed Practical Nurses (LPN), Registered Nurses (RN), Advanced Practice Registered Nurses (APRN)), By Work Setting (Hospitals, Clinics, Ambulatory Surgical Centers, Home Healthcare, Nursing Homes, Educational Institutions), By Employment Type (Full-time, Part-time, Per Diem, Temporary), By End-user (Private Healthcare Facilities, Public Healthcare Facilities), and By Region: Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2025 - 2034 [Dataset]. https://www.zionmarketresearch.com/report/us-registered-nurses-market
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    pdfAvailable download formats
    Dataset updated
    Aug 12, 2025
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global, United States
    Description

    Global U.S. registered nurses market is expected to generate revenue of around USD 987.46 Billion by 2034, growing at a CAGR of around 5.85% between 2025 and 2034.

  7. f

    Data from: Context of work and professional satisfaction of nurses who work...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated May 31, 2023
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    Maria Mônica de Oliveira; Dixis Figueroa Pedraza (2023). Context of work and professional satisfaction of nurses who work in the Family Health Strategy [Dataset]. http://doi.org/10.6084/m9.figshare.11266394.v1
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    xlsAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    SciELO journals
    Authors
    Maria Mônica de Oliveira; Dixis Figueroa Pedraza
    License

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

    Description

    ABSTRACT The research aimed to evaluate the work context and the professional satisfaction of nurses who work in the Family Health Strategy in the State of Paraíba establishing a comparative analysis between conventional teams and those of the More Doctors Program. This is a cross-sectional study carried out with 50 nurses from 34 municipalities representing all the regional health managements in the State. Information was obtained on the profile of professionals, structure of health units, work context, and professional satisfaction. The Work Context Assessment Scale was used for the context of work, while for the purpose of apprehending professional satisfaction, questions adapted from the satisfaction and remuneration dimensions of the Great Place to Work methodology were used. In their totality, the domains concerning the structure of the health units, the work context and the professional satisfaction have received satisfactory evaluations. However, there were deficiencies, mainly in the organization of work. There were no differences when comparing conventional and More Doctors Program teams. Important and significant correlations were observed between the work context and its sub-dimensions with job satisfaction. This research shows critical conditions of work organization that negatively influence professional satisfaction, with problems in the management of the work process that focus on increasing productivity.

  8. CMS Payroll Based Journal Daily Non-Nurse Staffing

    • datalumos.org
    delimited
    Updated May 29, 2025
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    United States Department of Health and Human Services. Centers for Medicare and Medicaid Services (2025). CMS Payroll Based Journal Daily Non-Nurse Staffing [Dataset]. http://doi.org/10.3886/E231310V1
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    delimitedAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset provided by
    Centers for Medicare & Medicaid Services
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    United States Department of Health and Human Services. Centers for Medicare and Medicaid Services
    License

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

    Time period covered
    Jan 1, 2017 - Dec 31, 2024
    Description

    The Payroll Based Journal (PBJ) Nurse Staffing and Non-Nurse Staffing datasets provide information submitted by nursing homes including rehabilitation services on a quarterly basis. The data include the hours staff are paid to work each day, for each facility. Examples of reporting categories include Director of Nursing, Administrative Registered Nurses, Registered Nursing, Administrative Licensed Practice Nurses, Licensed Practice Nurses, Certified Nurse Aides, Certified Medication Aides, and Nurse Aides in Training. There are also other non-nurse staff categories provided in the data such as Respiratory Therapist, Occupational Therapist, and Social Worker. The datasets also include a facility’s daily census calculated using the Minimum Data Set (MDS) submission.The Payroll Based Journal (PBJ) Employee Detail Nursing Home Staffing datasets and technical information have been moved to a new location. Note: This full dataset contains more records than most spreadsheet programs can handle, which will result in an incomplete load of data. Use of a database or statistical software is required.

  9. F

    Nursing Job Postings on Indeed in the United States

    • fred.stlouisfed.org
    json
    Updated Aug 26, 2025
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    (2025). Nursing Job Postings on Indeed in the United States [Dataset]. https://fred.stlouisfed.org/series/IHLIDXUSTPNURS
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    jsonAvailable download formats
    Dataset updated
    Aug 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-pre-approvalhttps://fred.stlouisfed.org/legal/#copyright-pre-approval

    Area covered
    United States
    Description

    Graph and download economic data for Nursing Job Postings on Indeed in the United States (IHLIDXUSTPNURS) from 2020-02-01 to 2025-08-22 about nursing, jobs, and USA.

  10. Data from: Public Health Departments

    • gis-calema.opendata.arcgis.com
    • nconemap.gov
    • +2more
    Updated Jan 17, 2018
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    CA Governor's Office of Emergency Services (2018). Public Health Departments [Dataset]. https://gis-calema.opendata.arcgis.com/items/29c3979a34ba4d509582a0e2adf82fd3
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    Dataset updated
    Jan 17, 2018
    Dataset provided by
    California Governor's Office of Emergency Services
    Authors
    CA Governor's Office of Emergency Services
    Area covered
    Description

    State and Local Public Health Departments in the United States Governmental public health departments are responsible for creating and maintaining conditions that keep people healthy. A local health department may be locally governed, part of a region or district, be an office or an administrative unit of the state health department, or a hybrid of these. Furthermore, each community has a unique "public health system" comprising individuals and public and private entities that are engaged in activities that affect the public's health. (Excerpted from the Operational Definition of a functional local health department, National Association of County and City Health Officials, November 2005) Please reference http://www.naccho.org/topics/infrastructure/accreditation/upload/OperationalDefinitionBrochure-2.pdf for more information. Facilities involved in direct patient care are intended to be excluded from this dataset; however, some of the entities represented in this dataset serve as both administrative and clinical locations. This dataset only includes the headquarters of Public Health Departments, not their satellite offices. Some health departments encompass multiple counties; therefore, not every county will be represented by an individual record. Also, some areas will appear to have over representation depending on the structure of the health departments in that particular region. Town health officers are included in Vermont and boards of health are included in Massachusetts. Both of these types of entities are elected or appointed to a term of office during which they make and enforce policies and regulations related to the protection of public health. Visiting nurses are represented in this dataset if they are contracted through the local government to fulfill the duties and responsibilities of the local health organization. Since many town health officers in Vermont work out of their personal homes, TechniGraphics represented these entities at the town hall. This is denoted in the [DIRECTIONS] field. Effort was made by TechniGraphics to verify whether or not each health department tracks statistics on communicable diseases. 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 HSIP fields populated by TechniGraphics. Double spaces were replaced by single spaces in these same fields. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, 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 11/18/2009 and the newest record dates from 01/08/2010.

  11. A

    NHSC Jobs Center for Primary Care Medical, Dental and Mental Health...

    • data.amerigeoss.org
    • healthdata.gov
    • +2more
    html
    Updated Jul 29, 2019
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    United States (2019). NHSC Jobs Center for Primary Care Medical, Dental and Mental Health Providers [Dataset]. https://data.amerigeoss.org/de/dataset/nhsc-jobs-center-for-primary-care-medical-dental-and-mental-health-providers
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    htmlAvailable download formats
    Dataset updated
    Jul 29, 2019
    Dataset provided by
    United States
    License

    Open Database License (ODbL) v1.0https://www.opendatacommons.org/licenses/odbl/1.0/
    License information was derived automatically

    Description

    The National Health Service Corps (NHSC) Jobs Center helps doctors and nurses who are interested in working at areas where there is the highest need find out more about opportunities in a particular area or healthcare discipline. The Job Center provides information on the work locations and area. Job opportunities can be searched and identified by a combination of search parameters. The user views the search results on a map and as text and both views provide links to get more detailed information for each returned opportunity.

  12. f

    Data from: Nurse contribution to the construction of health policy in the...

    • scielo.figshare.com
    tiff
    Updated Jun 2, 2023
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    Nildo Batista Mascarenhas; Cristina Maria Meira de Melo; Tatiane Araújo dos Santos; Livia Angeli Silva; Tatiane Cunha Florentino (2023). Nurse contribution to the construction of health policy in the state of Bahia (1925-1930) [Dataset]. http://doi.org/10.6084/m9.figshare.19928193.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    SciELO journals
    Authors
    Nildo Batista Mascarenhas; Cristina Maria Meira de Melo; Tatiane Araújo dos Santos; Livia Angeli Silva; Tatiane Cunha Florentino
    License

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

    Description

    ABSTRACT Objective: to analyze the contribution of nurses to the construction of health policy in the state of Bahia, from 1925 to 1930. Methods: qualitative research, from a historical nature. Data were retrieved from five public archives, organized in a documentary corpus, and analyzed based on the health political analysis and the social control concepts, health policy and public health. Results: from 1925 to 1930, the State seized the work of the woman/nurse and established it in public health. This fact enabled the nurse’s contribution to the construction of the health policy of the state of Bahia, which took place by the implementation of sanitary education actions, home visits and hygienic surveillance. Final considerations: the female nurse’s work made the health policy of the state of Bahia viable and was an ideal instrument to access homes and instruct/advise people in their daily lives to adopt behaviors that prevent the occurrence and, above all, the spread of diseases.

  13. e

    OECD Health Statistics, 1970-2017 - Dataset - B2FIND

    • b2find.eudat.eu
    Updated Nov 15, 2014
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    (2014). OECD Health Statistics, 1970-2017 - Dataset - B2FIND [Dataset]. https://b2find.eudat.eu/dataset/508f280d-efe7-5746-be1b-d0c0d785c497
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    Dataset updated
    Nov 15, 2014
    Description

    Abstract copyright UK Data Service and data collection copyright owner. The Organisation for Economic Co-operation and Development (OECD) Health Statistics offers the most comprehensive source of comparable statistics on health and health systems across OECD countries. It is an essential tool for health researchers and policy advisors in governments, the private sector and the academic community, to carry out comparative analyses and draw lessons from international comparisons of diverse health care systems. Within UKDS.Stat the data are presented in the following databases: Health status This datasets presents internationally comparable statistics on morbidity and mortality with variables such as life expectancy, causes of mortality, maternal and infant mortality, potential years of life lost, perceived health status, infant health, dental health, communicable diseases, cancer, injuries, absence from work due to illness. The annual data begins in 2000. Non-medical determinants of health This dataset examines the non-medical determinants of health by comparing food, alcohol, tobacco consumption and body weight amongst countries. The data are expressed in different measures such as calories, grammes, kilo, gender, population. The data begins in 1960. Healthcare resources This dataset includes comparative tables analyzing various health care resources such as total health and social employment, physicians by age, gender, categories, midwives, nurses, caring personnel, personal care workers, dentists, pharmacists, physiotherapists, hospital employment, graduates, remuneration of health professionals, hospitals, hospital beds, medical technology with their respective subsets. The statistics are expressed in different units of measure such as number of persons, salaried, self-employed, per population. The annual data begins in 1960. Healthcare utilisation This dataset includes statistics comparing different countries’ level of health care utilisation in terms of prevention, immunisation, screening, diagnostics exams, consultations, in-patient utilisation, average length of stay, diagnostic categories, acute care, in-patient care, discharge rates, transplants, dialyses, ICD-9-CM. The data is comparable with respect to units of measures such as days, percentages, population, number per capita, procedures, and available beds. Health Care Quality Indicators This dataset includes comparative tables analyzing various health care quality indicators such as cancer care, care for acute exacerbation of chronic conditions, care for chronic conditions and care for mental disorders. The annual data begins in 1995. Pharmaceutical market This dataset focuses on the pharmaceutical market comparing countries in terms of pharmaceutical consumption, drugs, pharmaceutical sales, pharmaceutical market, revenues, statistics. The annual data begins in 1960. Long-term care resources and utilisation This dataset provides statistics comparing long-term care resources and utilisation by country in terms of workers, beds in nursing and residential care facilities and care recipients. In this table data is expressed in different measures such as gender, age and population. The annual data begins in 1960. Health expenditure and financing This dataset compares countries in terms of their current and total expenditures on health by comparing how they allocate their budget with respect to different health care functions while looking at different financing agents and providers. The data covers the years starting from 1960 extending until 2010. The countries covered are Australia, Austria, Belgium, Canada, Chile, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Korea, Luxembourg, Mexico, Netherlands, New Zealand, Norway, Poland, Portugal, Slovak Republic, Slovenia, Spain, Sweden, Switzerland, Turkey, United Kingdom, and United States. Social protection This dataset introduces the different health care coverage systems such as the government/social health insurance and private health insurance. The statistics are expressed in percentage of the population covered or number of persons. The annual data begins in 1960. Demographic references This dataset provides statistics regarding general demographic references in terms of population, age structure, gender, but also in term of labour force. The annual data begins in 1960. Economic references This dataset presents main economic indicators such as GDP and Purchasing power parities (PPP) and compares countries in terms of those macroeconomic references as well as currency rates, average annual wages. The annual data begins in 1960. These data were first provided by the UK Data Service in November 2014.

  14. m

    Nurses, Moral Distress, and COVID-19 in a Global Perspective – An...

    • data.mendeley.com
    Updated Aug 8, 2022
    + more versions
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    PAMELA CASIA (2022). Nurses, Moral Distress, and COVID-19 in a Global Perspective – An Integrative Review [Dataset]. http://doi.org/10.17632/yrvtz3zryv.4
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    Dataset updated
    Aug 8, 2022
    Authors
    PAMELA CASIA
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    ABSTRACT

    Aim

    This integrative review aims to synthesize the current literature on moral distress in nurses during the COVID-19 in healthcare. The objectives are: 1. To review empirical data on the impacts of moral distress nurses experience during the COVID-19 in healthcare. 2. To explore the current literature for strategies to EASE (Equip, Alleviate, Support, and Educate) nurses' moral distress during a pandemic.

    Design/Method An integrative review guided by the Whittemore and Knafl (2005) method.

    Results Of the 299 studies identified, six published met inclusion criteria. Greece, Iran, Romania, Switzerland, and United States were among the countries with nurses suffering from moral distress due to COVID-19. Three overarching concepts were identified: impact of moral distress on nurses, factors for moral distress, and improved quality of work conditions as an intervention for moral distress. Strategies to EASE (Equip, Alleviate, Support, and Educate) nurses' moral distress during a pandemic were explored.

    Keywords Moral Distress, COVID-19, Pandemic, Nurse, Mental health, Integrative Review, Healthcare, COVID-19 Pandemic

  15. B

    Data from: Caregivers’ and nurses’ perceptions of the Smart Discharges...

    • borealisdata.ca
    Updated Oct 24, 2024
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    Justine Behan; Olive Kabajaasi; Brooklyn Derksen; George Sendegye; Kuugumikiriza; Clare Komugisha; Radhika Sundararajan; Shevin T. Jacob; Nathan Kenya-Mugisha; Matthew O. Wiens (2024). Caregivers’ and nurses’ perceptions of the Smart Discharges Program for children with sepsis in Uganda: A qualitative study [Dataset]. http://doi.org/10.5683/SP3/6ZNGRG
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 24, 2024
    Dataset provided by
    Borealis
    Authors
    Justine Behan; Olive Kabajaasi; Brooklyn Derksen; George Sendegye; Kuugumikiriza; Clare Komugisha; Radhika Sundararajan; Shevin T. Jacob; Nathan Kenya-Mugisha; Matthew O. Wiens
    License

    Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
    License information was derived automatically

    Area covered
    Uganda
    Description

    Background: Sepsis arises when the body’s response to an infection injures its own tissues and organs. Among children hospitalized with suspected sepsis in low-income country settings, mortality rates following discharge are high, similar to mortality rates in hospital. The Smart Discharges Program uses a mobile health (mHealth) platform to identify children at high risk of post-discharge mortality to receive enhanced post-discharge care. This study sought to explore the perceptions and experiences of the caregivers and nurses of children enrolled into the Smart Discharges Program and the program’s effect on post-discharge care. Methods: We conducted an exploratory qualitative study, which included in-person focus group discussions (FGDs) with 30 caregivers of pediatric patients enrolled in the Smart Discharges Program and individual, semi-structured interviews with eight Smart Discharges Program nurses. The study was carried out at four hospitals in Uganda in 2019. Findings: Following thematic analysis, three key themes pertaining to the Smart Discharges program were identified: (1) Facilitators and barriers to follow-up care after discharge; (2) Changed caregiver behavior following discharge; and (3) Increased involvement of male caregivers. Facilitators included telephone/text message reminders, positive nurse-patient relationship, and the complementary aspects of the program. Barriers included resource constraints and negative experiences during post-discharge care seeking. With regards to behavior, when provided with relevant and well-timed information, caregivers reported increased knowledge about post-discharge care and improvements in their ability to care for their child. Enrolment in the Smart Discharges Program also increased male caregiver involvement, increased provision of resources and improved communication within the family and with the healthcare system. The Smart Discharges approach is an impactful strategy to improve pediatric post-discharge care, and similar approaches should be considered to improve the hospital to home transition in similar low-income country settings. Data Collection Methods: Facilitators of the same sex as the participants moderated the FGDs in the local language. Individual interviews with nurses were conducted by a social scientist in English. A focus group discussion guide and a semi-structured interview guide were used to provide structure and consistency to the discussion/interviews while allowing for novel concepts to be shared. Topics in the interview and FGD guides were developed by senior investigators who have expertise in the field of pediatric sepsis. The FDG guides focused on experiences at the admitting facility, experiences after discharge, processes involving referral for post-discharge clinical care, and barriers to post-discharge care. Interview guides focused on the experience of providing caregiver education and counselling, and reporting of which programmatic components worked well and did not work well. Nurse interviewees were also asked about their observations of the benefits and challenges of the program to the caregivers. Due to budget and logistical constraints, the FGD and interview guides were not pre-tested prior to use and no repeat interviews were done. FGDs and interviews were audio recorded and transcribed directly in English by a professional translator and then reviewed for accuracy and consistency. Using a thematic analysis approach, initial open coding of transcripts was done by two investigators. During analysis, data was organized using NVivo version 12.0 (QSR, Massachusetts, United States). After development of the coding framework and initial coding, themes were proposed, and discussed between three investigators who jointly agreed on the study themes and then confirmed full team agreement on the final themes. Ethics Declaration: Ethical approval was obtained from the the Makerere University School of Public Health, Research and Ethics Committee (SPH-REC # 691) and the Uganda National Council for Science and Technology (UNCST SS #5047). NOTE for restricted files: If you are not yet a CoLab member, please complete our membership application survey to gain access to restricted files within 2 business days. Some files may remain restricted to CoLab members. These files are deemed more sensitive by the file owner and are meant to be shared on a case-by-case basis. Please contact the CoLab coordinator at sepsiscolab@bcchr.ca or visit our website.

  16. Community health center medical staff distribution by type 2020

    • statista.com
    Updated Dec 18, 2023
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    Statista Research Department (2023). Community health center medical staff distribution by type 2020 [Dataset]. https://www.statista.com/topics/9765/outpatient-care-in-the-us/
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    Dataset updated
    Dec 18, 2023
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Description

    This statistic depicts the percentage of U.S. federal community health center medical staff by type of occupation, as of 2020. According to the data, 22 percent of all medical staff worked as nurses.

  17. f

    Data from: Ongoing education in health: practices developed in the...

    • scielo.figshare.com
    xls
    Updated Jun 1, 2023
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    Rosilene Marques de Souza Barcellos; Leila Medeiros Melo; Larissa Arbués Carneiro; Anna Carime Souza; Dione Marçal Lima; Lenora Taveira Rassi (2023). Ongoing education in health: practices developed in the unicipalities of the state of Goiás, Brazil [Dataset]. http://doi.org/10.6084/m9.figshare.14327380.v1
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    SciELO journals
    Authors
    Rosilene Marques de Souza Barcellos; Leila Medeiros Melo; Larissa Arbués Carneiro; Anna Carime Souza; Dione Marçal Lima; Lenora Taveira Rassi
    License

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

    Area covered
    Brazil, State of Goiás
    Description

    Abstract Ongoing education in health guides significant learning processes, and proposes the production of effective results in health actions. This study had the goal of outlining the profile of the practices of ongoing education in health in the municipalities of the state of Goiás, Brazil, under the perspective of the representatives of the field. The present cross-sectional research used a semi-structured questionnaire that was filled out online by the participants. Most of the respondents are local references regarding ongoing education in health (68.9%); they are nurses who also work as primary care coordinators (31.8%). There was a predominance of municipalities that identify the existence of ongoing education in their territories (66.2%). In general, the actions are promoted by the municipalities themselves (61.3%) or by the regional health department (37.9%), and ongoing education stands out, followed by the (re)organization of the work processes and education in health. Factors regarding attitude, interpersonal relationships and human resources were pointed out as the most frequent challenges. Based on this diagnosis, we understand that most of the problems identified could be subjected to intervention. This study provides inputs for the strategic planning of ongoing education in health, for the support to the agencies responsible for its promotion and management in the municipalities, and to strengthen the ongoing education actions in the health services.

  18. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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(2025). All Employees, Nursing and Residential Care Facilities [Dataset]. https://fred.stlouisfed.org/series/CEU6562300001

All Employees, Nursing and Residential Care Facilities

CEU6562300001

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3 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Aug 1, 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, Nursing and Residential Care Facilities (CEU6562300001) from Jan 1990 to Jul 2025 about nursing homes, nursing, health, establishment survey, education, residential, services, employment, and USA.

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