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.

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.

Descriptive statistics and factor loadings for the students’ attitudes toward nursing profession scale.

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.

In 2024, according to the Bureau of Labor Statistics, there were *** million registered nurses in the United States. With over *** thousand registered nurses, California had the highest number of registered nurses in the U.S., followed by Texas and Florida. On the other hand, Wyoming was the state with the least registered nurses in 2024.

This statistic describes the spending for nursing care in the United States from 2013 to 2022, sorted by payer. In 2022, 48.3 billion U.S. dollars were covered by out-of-pocket payments for nursing care in the United States.

Nursing burnout Statistics: Considering the pandemic and post-pandemic time, nursing burnout has become a significant issue in the healthcare industry. We have seen the problems faced by the nurses during the lockdown about they were treated and what kind of exhaustion they faced. But even after 2 years of that event the healthcare industry is still facing the same problem. The major reason behind this problem is the low level of hiring in the nursing segment in healthcare units around the world. These nursing burnout statistics are written with insights from around the globe to understand the severity of the problem. It has included various types of content along with interesting graphics for a better level of understanding. Editor’s Choice In the United States of America, there are around 2.7 million nurses who reported feeling burnout during work in 2022. As of today, Belgium has 60% of the burnout nurses while there are 40% in Uganda. According to Nursing burnout statistics, there are around 81.2% of female nurses and 18.8% of male nurses feel burned out during the sessions of their job. 5% of the nurses in China had suicidal thoughts while 17% of nurses in Australia took mental health support. 6% belonged to the age group of 26 years to 30 years facing the highest number of burned out in all the other age groups. On average today, nursing burnout statistics say that low staffing resulting in 80.19% was the main reason for burnout. 46% and 22% belong to the reasons of ethical dilemmas physical attacks from patients or patients’ families in the United States of America. According to the Nursing burnout statistics, it has been estimated that the world will face a shortage of nurses by the year 2030 resulting in a number of 13 million. As of today, the turnover rate of nurses due to burnout is 27.1%. For every 1% of the turnover in the nursing field, it will cost hospitals around $2,62,300 every year.

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)

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

In 2022, there were more than *** thousand registered nurses in Malaysia, an increase compared to the previous year. The number of registered nurses in the country has shown an upward trend since 2016.

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.

Introduction

Nursing Burnout Statistics: Nursing burnout has emerged as a significant global concern, characterized by emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment. A 2023 meta-analysis encompassing 94 studies reported a global prevalence of nursing burnout at 30%, with variations across regions and specialties.

In the United States, a 2020 survey indicated that nearly 62% of nurses experienced burnout, with the rate rising to 69% among those under 25 years old. Similarly, a 2023 study found that 91.1% of nurses reported high levels of burnout, compared to 79.9% among other healthcare workers.

Contributing factors to this phenomenon include understaffing, extended work hours, and high patient-to-nurse ratios. The American Nurses Foundation reported in 2023 that 56% of nurses experienced burnout, with 64% feeling significant job-related stress. Moreover, 40% of nurses felt they had poor control over their workload, describing their daily work as hectic or intense.

Addressing nursing burnout necessitates systemic changes, including improved staffing, supportive work environments, and accessible mental health resources. Implementing such measures is crucial to safeguard both healthcare providers and patients.

Correspondence should be addressed to Liyuan Jiao. The data for this study was collected from 2012 to 2022 and comprised of the top ten disease-related deaths in three regions, including nine provinces and cities. The mortality rates of each disease and its percentage were obtained from the relevant websites of the provincial (city) statistical bureaus and health and care committees through statistical yearbooks, statistical bulletins on health and health development, and working statistics of health and care committees. In this study, Beijing was treated as the target case, and seven relevant literature pieces were selected through a search on Google Scholar. Through literature analysis, views were derived that related to different disease care approaches for the elderly in nursing homes.

Nurse Care Activity Recognition

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 View Data link above includes the hours staff are paid to work each day, for each facility, aggregated by staff reporting category. 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.

According to a survey conducted in December 2020, the coronavirus pandemic exacerbated unhealthy experiences among nurses in the United States. At that time, over two-thirds of respondents stated to have had sleeping problems. The second most negative experience which has increased during the pandemic among nurses was overeating.

This data package contains information about Measures of Rehospitalization, Emergency Visit and Community Discharge for Medicare Beneficiaries. It also includes Nursing Home Compare information on Deficiencies, Fire Safety Deficiencies, MDS Quality Measures, Ownership information, Fines and Payment denial, Provider Information, State Averages and Survey Summary information about nursing homes.

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.

Graph and download economic data for Employed full time: Wage and salary workers: Registered nurses occupations: 16 years and over (LEU0254487900A) from 2000 to 2024 about registered nurses, nursing, occupation, full-time, salaries, workers, 16 years +, wages, employment, and USA.

Abstract (en): The National Nursing Home Survey Follow-Up (NNHSF) is a longitudinal study that followed the cohort of current residents and discharged residents sampled in the NATIONAL NURSING HOME SURVEY, 1985 (ICPSR 8914). The NNHSF extends the period of observation of these utilization patterns by approximately five years after the baseline nursing home interview. The primary purpose is to provide data on the flow of persons in and out of long-term care facilities and hospitals. The NNHSF was conducted in three waves. Wave I was administered between August and December 1987 (ICPSR 9813), Wave II between July and November 1988, and Wave III between February and April 1990. Data are available on the subject's vital status, living arrangements, nursing home stays, hospital stays, and source of payment for hospital and nursing home stays occurring between the Wave I and Wave II interviews. The Wave II cohort is identified and grouped as follows: (1) Wave I subjects for whom an interview was obtained, who were alive at the time of the interview, and who did not require a facility follow-up for complete information, (2) Wave I subjects for whom an interview was obtained, who were alive at the time of the interview, but who required a facility follow-up to obtain complete information, and (3) Wave I subjects for whom no interview attempt was made through interviewer error but who were not known to be deceased. Wave II interviews were completed for 3,868 subjects. Per agreement with NCHS, ICPSR distributes the data file(s) and technical documentation in this collection in their original form as prepared by NCHS.