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This dataset records the assessment of the effectiveness of learning objects in statistical education within nursing degree programs. It includes observations from 54 students with the following variables: - diagnostico_institucional: Assessment by the educational institution. - pre_test: Knowledge assessment prior to the educational intervention. - post_test: Knowledge assessment following the educational intervention. - edad: Age of the students. - campus: Campus of the institution where education is conducted. - sede: University site grouping several campuses together.
The National Sample Survey of Registered Nurses (NSSRN) Download makes data from the survey readily available to users in a one-stop download. The Survey has been conducted approximately every four years since 1977. For each survey year, HRSA has prepared two Public Use File databases in flat ASCII file format without delimiters. The 2008 data are also offerred in SAS and SPSS formats. Information likely to point to an individual in a sparsely-populated county has been withheld. General Public Use Files are State-based and provide information on nurses without identifying the County and Metropolitan Area in which they live or work. County Public Use Files provide most, but not all, the same information on the nurse from the General Public Use File, and also identifies the County and Metropolitan Areas in which the nurses live or work. NSSRN data are to be used for research purposes only and may not be used in any manner to identify individual respondents.
According to a survey carried out in 2023, ** percent of clinicians in South America reported it would be desirable for nursing students to use AI-powered tools such as ChatGPT or Bard to learn nursing. In the United Kingdom, more clinicians believed this prospect to be undesirable than desirable.
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Graph and download economic data for All Employees, Skilled Nursing Care Facilities (CES6562310001) from Jan 1990 to Aug 2025 about nursing homes, nursing, health, education, establishment survey, services, employment, and USA.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
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Private nursing and residential care facilities, summary statistics, by North American Industry Classification System (NAICS) 623, which includes all members under Summary statistics, annual, (dollars unless otherwise noted), Canada and provinces, five years of data.
In 2022, Switzerland had the highest number of practicing nurses per capita, that is, for every 1,000 population there were 18 practicing nurses in Switzerland. This is followed by Norway and Iceland. This statistic portrays the number of practicing nurses in selected countries as of 2021, per 1,000 population.
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Nurses in the United States increased to 12.71 per 1000 people in 2024 from 12.36 per 1000 people in 2023. This dataset includes a chart with historical data for the United States Nurses.
In 2024, according to the Bureau of Labor Statistics, the annual mean wage of nurse practitioners in the United States stood at ******* U.S. dollars. With an annual mean wage of ******* U.S. dollars, registered nurses in California had the highest wages, followed by New York and Oregon. On the other hand, Tennessee had the lowest annual mean wages for nurse practitioners in 2024.
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Graph and download economic data for Employed full time: Wage and salary workers: Registered nurses occupations: 16 years and over: Women (LEU0254701500A) from 2000 to 2024 about registered nurses, nursing, occupation, full-time, females, salaries, workers, 16 years +, wages, employment, and USA.
The CMS Program Statistics - Medicare Skilled Nursing Facility tables provide use and payment data for skilled nursing facilities. For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page. Below is the list of tables: MDCR SNF 1. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR SNF 2. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR SNF 3. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR SNF 4. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement and Covered Days of Care MDCR SNF 5. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Facility and Bedsize MDCR SNF 6. Medicare Skilled Nursing Facilities: Distribution of Medicare Covered Skilled Nursing Facility Days, by State of Provider and Major Resource Utilization Groups (RUG)-III (versions 2013-2018 only)
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Nurse Care Activity Recognition
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Nurses’ data is compiled by the Department of Health as part of the Non-Monetary Health Care Statistics, administered jointly by Eurostat, OECD and WHO in fulfilment of the European regulation (EU) 2022/2294. These statistics are compiled and published on an annual basis and refer to the number of practicing nurses and nurses licensed to practice in the Republic of Ireland, as at end of the referenced ending calendar year.
In 2021, there were around 116 nursing graduates per 100,000 population in Australia. In comparison, there were just 44.2 graduating nurses in Germany per 100,000 population. This statistic depicts the number of graduates in nursing in OECD countries per 100,000 inhabitants in 2021.
This dataset contains the output of HCAI’s Supply and Demand Model for California’s Nursing Workforce. It includes the estimated supply and demand for providers in Full-Time Equivalent (FTE) for each role or role group included in the model for the years 2022-2023. These metrics can be compared by role, region, county, and year. For in-depth details on our modeling methodology, see our online comprehensive methodology documentation at https://hcai.ca.gov/wp-content/uploads/2025/05/Public-Modeling-Methodology-v.1.1_5-2025.pdf.
Additional documentation is also provided on HCAI’s use of Lightcast data within the Supply & Demand model.
Abstract copyright UK Data Service and data collection copyright owner. The purpose of this study was to establish the general characteristics and attitudes of agency nurses to their work and to the National Health Service. Main Topics: Attitudinal/Behavioural Questions Reasons for undertaking agency work (at first and at present), starting date, whether agency nursing was sole employment, type of work, hours worked per week. Comparison of work as an NHS nurse with agency nursing in work standards, nature of duties, use made of training facilities. Membership of nursing organisations/unions. Other work respondent would take if agency work unavailable. Background Variables Age, sex, marital status, place of birth, length of employment, place of work, qualifications. Simple random sample Postal survey
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US Nursing Education Market Size 2025-2029
The US nursing education market size is forecast to increase by USD 161.9 billion at a CAGR of 30% between 2024 and 2029.
US Nursing Education Market is experiencing significant growth, driven by the increasing demand for competency-based learning and the integration of advanced technologies such as Augmented Reality (AR) and Virtual Reality (VR) in nursing education. The shift towards competency-based learning is a response to the evolving healthcare landscape and the need for nurses to possess a higher level of skills and knowledge to provide effective patient care. Furthermore, the use of AR and VR technologies in nursing education offers learning experiences, enabling students to practice complex procedures in a safe and controlled environment. However, the market is not without challenges.
One of the significant challenges is the lack of standardized assessment metrics to measure the effectiveness of nursing education programs. This challenge hampers the ability to evaluate the success of educational initiatives and the readiness of graduates to enter the workforce. To capitalize on the market opportunities and navigate these challenges effectively, companies must focus on developing innovative solutions that address the need for competency-based learning and provide reliable assessment metrics. Additionally, investing in the integration of AR and VR technologies can offer a competitive edge in the market.
What will be the size of the US Nursing Education Market during the forecast period?
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The nursing education market in the US is experiencing significant growth and innovation, driven by the demand for advanced nursing informatics solutions and continuing education units. This trend is reflected in the development of nurse recruitment strategies that leverage telehealth platforms and nursing curriculum tailored to healthcare technology. Nursing salary trends continue to influence the market, as nursing informatics specialists become increasingly essential for effective healthcare data management. Nursing simulation software and nursing career pathways are key components of nursing education trends, providing clinical experience and patient safety initiatives that align with patient-centered care and improved health outcomes.
Accreditation standards and nursing faculty recruitment are also critical areas of focus, as institutions seek to maintain high educational standards and remain competitive. Patient portals, mobile health apps, and nursing education consultants are essential tools for nursing workforce development, enabling professional growth and leadership training. Nursing ethics committees and clinical data analytics further enhance the quality of nursing education and research, ensuring that the nursing profession remains at the forefront of healthcare innovation.
How is this market segmented?
The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Type
Graduate courses
Postgraduate courses
End-user
Hospitals
Home healthcare services
Program Type
Associate Degree
Bachelor's Degree
Master's Degree
Doctoral Programs
Delivery Mode
On-Campus
Online
Hybrid
Institution Types
Universities
Community Colleges
Vocational Schools
Geography
US
By Type Insights
The graduate courses segment is estimated to witness significant growth during the forecast period.
The nursing education market in the US is experiencing significant growth due to the rising enrollment in undergraduate and graduate nursing programs. This trend is driven by the increasing demand for specialized nursing professionals in various fields, such as geriatric nursing, mental health nursing, and critical care nursing. The American Nurses Association and other nursing organizations advocate for continued nursing education as a means of addressing health disparities and improving patient care. E-learning platforms, nursing simulation labs, and clinical skills training are essential components of graduate nursing programs, providing students with the necessary theoretical and practical knowledge.
Nursing informatics, healthcare reform, and patient safety are key areas of focus, with data analytics and clinical decision support playing crucial roles. The nursing workforce is evolving, with an emphasis on nurse retention, nursing leadership, and nursing professional development. Online nursing programs, mobile health, and wearable technology are transforming nursing education, making it more accessible and flexible. Nursing evaluation, nursing diagnosis, and nursing standards are integral parts of nursing education, ensuring that students are prepared for the nursing licens
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This is a monthly report on publicly funded community services for children, young people and adults using data from the Community Services Data Set (CSDS) reported in England for November 2017. The CSDS is a patient-level dataset providing information relating to publicly funded community services for children, young people and adults. These services can include district nursing services, school nursing services, health visiting services and occupational therapy services, among others. The data collected includes personal and demographic information, diagnoses including long-term conditions and disabilities and care events plus screening activities. It has been developed to help achieve better outcomes for children, young people and adults. It provides data that will be used to commission services in a way that improves health, reduces inequalities, and supports service improvement and clinical quality. Prior to October 2017, the predecessor Children and Young People's Health Services (CYPHS) Data Set collected data for children and young people aged 0-18. The CSDS superseded the CYPHS data set to allow adult community data to be submitted, expanding the scope of the existing data set by removing the 0-18 age restriction. The structure and content of the CSDS remains the same as the previous CYPHS data set. Further information about the CYPHS and related statistical reports is available from https://digital.nhs.uk/data-and-information/data-collections-and-data-sets/data-sets/children-and-young-people-s-health-services-data-set References to children and young people covers records submitted for 0-18 year olds and references to adults covers records submitted for those aged over 18. Where analysis for both groups have been combined, this is referred to as all patients. These statistics are classified as experimental and should be used with caution. Experimental statistics are new official statistics undergoing evaluation. They are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. More information about experimental statistics can be found on the UK Statistics Authority website. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use this form to provide us with any feedback or suggestions for improving the report. Update 6 April 2018: Please note since the removal of the age restriction to include adult data in CSDS, some of our Data Quality measures may not take into account items intended for children only. We are currently reviewing these measures and will look to reflect this in future reports.
The Nursing Home COVID-19 Public File from the Centers for Medicare & Medicaid Services, filtered for Connecticut. View the full dataset and detailed metadata here. The Nursing Home COVID-19 Public File includes data reported by nursing homes to the CDC’s National Healthcare Safety Network (NHSN) system COVID-19 Long Term Care Facility Module, including Resident Impact, Facility Capacity, Staff & Personnel, and Supplies & Personal Protective Equipment, and Ventilator Capacity and Supplies Data Elements.
The CMS Program Statistics - Medicare Skilled Nursing Facility tables provide use and payment data for skilled nursing facilities.
For additional information on enrollment, providers, and Medicare use and payment, visit the CMS Program Statistics page.
These data do not exist in a machine-readable format, so the view data and API options are not available. Please use the download function to access the data.
Below is the list of tables:
MDCR SNF 1. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement, Yearly Trend MDCR SNF 2. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Demographic Characteristics and Medicare-Medicaid Enrollment Status MDCR SNF 3. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Area of Residence MDCR SNF 4. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Entitlement and Covered Days of Care MDCR SNF 5. Medicare Skilled Nursing Facilities: Utilization, Program Payments, and Cost Sharing for Original Medicare Beneficiaries, by Type of Facility and Bedsize MDCR SNF 6. Medicare Skilled Nursing Facilities: Distribution of Medicare Covered Skilled Nursing Facility Days, by State of Provider and Major Resource Utilization Groups (RUG)-III (versions 2013-2018 only)
https://www.icpsr.umich.edu/web/ICPSR/studies/8914/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/8914/terms
The 1985 National Nursing Home Survey was designed to gather a variety of data on all types of nursing homes providing nursing care in the United States. In this collection data are available on nursing and related care facilities, services provided by the facilities, residents of the nursing homes, and discharges. Nursing home care is examined from the perspectives of both the recipients and the providers of services. Information about patients, both current and discharged, includes basic demographic characteristics, marital status, place of residence prior to admission, health status, services received, and, for discharges, the outcomes of care. A family member of both current and discharged patients was contacted by telephone to obtain data on socioeconomic status and prior episodes of health care. Facility-level data include basic characteristics such as size, ownership, Medicare/Medicaid certification, occupancy rate, and days of care provided.
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This dataset records the assessment of the effectiveness of learning objects in statistical education within nursing degree programs. It includes observations from 54 students with the following variables: - diagnostico_institucional: Assessment by the educational institution. - pre_test: Knowledge assessment prior to the educational intervention. - post_test: Knowledge assessment following the educational intervention. - edad: Age of the students. - campus: Campus of the institution where education is conducted. - sede: University site grouping several campuses together.