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.

ABSTRACT Objective: to characterize the development of research on nursing diagnoses in nursing graduate programs and verify the application of the results of these studies according to the perception of academic advisors. Methods: documental research on dissertations and theses available from the databases of Brazilian universities with graduate programs in nursing, and exploratory survey on the practical application of their results. Results: 216 dissertations and theses were analyzed. Most of them were descriptive studies, and the most widely used diagnostic taxonomy was NANDA International. Little practical use of the knowledge produced by the dissertations and theses was identified. Conclusion: Although there has been a considerable increase in research on nursing diagnoses, the survey stage revealed scarce practical application of their results, prompting the need for further studies in order to identify the barriers in the way of transposing theory to practice.

Conducted in April and May 2021, this needs assessment of nurse researchers at the Okanagan and Vancouver campuses of the University of British Columbia used a research lifecycle framework to better understand researcher needs at different stages of the lifecycle. The survey was administered, distributed, and analyzed using Qualtrics. This data set presents aggregated data for 30 nurse researchers at UBC as well as the survey instrument and text from the initial email survey invitation.

Research Hypothesis: Nursing students at Chattogram International Nursing College (CINC) in Bangladesh will experience a high prevalence of depression and anxiety due to the unique stressors associated with their academic program.

Data Shows: The study found that 66.0% of participants experienced anxiety, with 38.0% in the abnormal range. For depression, 18.4% were in the abnormal range. Gender was significantly associated with anxiety, with females reporting higher levels.

Notable Findings: The study revealed a significant burden of anxiety among undergraduate nursing students at CINC, with a substantial proportion experiencing abnormal levels of anxiety. This highlights the need to address mental health issues among nursing students and implement strategies to promote their mental well-being.

Interpretation: The data suggest that nursing students, especially females, are at risk of experiencing high levels of anxiety. This underscores the importance of providing mental health support and resources to nursing students to help them cope with the unique stressors they face. The findings can be used to inform interventions and policies aimed at improving the mental health of nursing students at CINC and similar institutions.

IntroductionNurses and patients can now ensure access to qualified healthcare using the new opportunities of mobile health (mHealth) applications (or apps). To use its potential effectively, understanding nurses’ use of this technology is crucial. Here, we examined the awareness, attitudes, and obstacles to using mHealth apps among nurses.MethodsWe applied a descriptive-analytical cross-sectional study from 08/04/2023 to 05/10/2023. Cochran’s formula estimated the sample size of 267 nurses. The researchers used a researcher-made questionnaire for data collection. We used descriptive (mean, standard deviation, frequency, and percentage) and analytical (Pearson and Spearman correlation) statistics for data analysis.ResultsMost nurses use a smartphone (86%), have an Android operating system installed (82%), and believe that mHealth is useful for nursing (85%), but do not use it for patient care (70.8%). The mean score for awareness, attitude, and obstacles regarding mHealth were 3.74 ±  0.657, 3.49 ±  0.513, and 3.50 ±  0.597 respectively. There was a significant positive correlation between the nurses’ awareness and attitude (r = 0. 289, P 

Data set from Caruso R, Grugnetti AM, Pastore U, Dellafiore F, Pittella F, Ausili D, Stievano A, Arrigoni C. Modified Research Utilization Questionnaire: Development and Validation Study among Italian Nurses. Asian Nurs Res (Korean Soc Nurs Sci). 2019 Feb;13(1):61-68. doi: 10.1016/j.anr.2019.01.006. Epub 2019 Jan 18. PMID: 30660835.

This is the abstract:

Purpose: The purpose of this study was to develop the modified research utilization questionnaire (M-RUQ) and to establish its content and face validity, construct validity, and reliability.

Methods: This study has a multiphase (three phases), methodological, and cross-sectional design. First, research utilization questionnaire (RUQ) was translated into Italian, which is the target language to develop the M-RUQ. Second, the RUQ psychometric proprieties were assessed using exploratory factorial analysis to identify ambiguous or problematic items (e.g., cross-loadings) (cross-sectional sampling A). The RUQ modification (i.e., item deleting, wording modification, and scoring procedure) represented the development of the M-RUQ among Italian nurses. The third phase was aimed to confirm the construct validity of the M-RUQ and to test its stability and internal consistency (cross-sectional sampling B).

Results: This study's findings show that M-RUQ has a three-dimensional structure and a total of 22 items. The M-RUQ shows evidence of validity and reliability. Precisely, the factorial structure coming from an exploratory factorial analysis on the first sample (n = 504) was confirmed by a final model of confirmatory factorial analysis (CFA) on a second sample (n = 362). The final CFA model showed adequate goodness of fit, where all the factor loadings showed values higher than .40. Cronbach's α was satisfactory for each domain and for the overall scale. Furthermore, the M-RUQ showed good stability described by the test-retest.

Conclusion: The M-RUQ should be used to assess research utilization among nurses for educational or research purposes to address the practice. Further research about its validity and reliability is suggested.

The National Post-acute and Long-term Care Study (NPALS) is a biennial study of major post-acute and long-term care providers and their services users. Seven provider settings are in included. NPALS collects survey data on the residential care community and adult day services sectors, and uses administrative data (available from CMS) for home health, nursing home, hospice, inpatient rehabilitation, and long-term care hospital sectors. The goals of the study are to: estimate the supply of paid, regulated post-acute and long-term care services providers; estimate key policy-relevant characteristics and practices of these providers; estimate the number of post-acute and long-term care services users; estimate key policy-relevant characteristics of these users; produce national and state estimates where feasible; compare across provider sectors; and monitor trends over time.

The National Medical Expenditure Survey (NMES) series provides information on health expenditures by or on behalf of families and individuals, the financing of these expenditures, and each person's use of services. The Institutional Population Component (IPC) is a survey of nursing and personal care homes and facilities for the mentally retarded and residents admitted to those facilities. Information was collected on facilities and their residents at several points during 1987. Use and expenditure estimates for institutionalized persons can be combined with those from the Household Component for composite estimates covering most of the civilian population. Information on facilities and residents was collected from facility administrators and caregivers, with additional information collected from next-of-kin or other knowledgeable respondents. These data were supplemented by Medicare claims information for covered sample persons. Research File 19R provides information collected from two IPC questionnaires, the Personal History Questionnaire (PHQ) and the End-of-Year Questionnaire (EYQ). The PHQ was administered once as part of the surveys of next-of-kin. These data are primarily concerned with the characteristics of the sample person just prior to admission. The EYQ was administered once in either the surveys of next-of-kin or the surveys of institutions and focuses on health status. Research File 19R also includes items from the Baseline Questionnaire and the Baseline Questionnaire Supplement. Data from these questionnaires were released on NMES Public Use Tapes 8, 17, and 22R (ICPSR 9677, 6158, and 6467). Part 1 of this collection, Summary Data, includes demographic characteristics such as age, race, sex, date of admission to sampled facility, and vital status. Part 2, 1987 Personal History Questionnaire (PHQ) Data, supplies information on condition prior to admission to facility, chronic disease history, whether respondent needed help with activities of daily living (ADLs) and/or instrumental activities of daily living (IADLs), usage of assistive technology, and behavioral history. Part 3, End-of-Year Questionnaire (EYQ) Data, includes characteristics of the sample person, limitations and help with ADLs and IADLs, health and behavioral history, and condition codes reported by either the respondent or the facility medical records.

Magon A, Conte G, Dellafiore F, Arrigoni C, Baroni I, Brera AS, Avenido J, De Maria M, Stievano A, Villa G, Caruso R. Nursing Profession Self-Efficacy Scale-Version 2: A Stepwise Validation with Three Cross-Sectional Data Collections. Healthcare (Basel). 2023 Mar 3;11(5):754. doi: 10.3390/healthcare11050754. PMID: 36900758; PMCID: PMC10001547.

Abstract

Heterogenous Big dataset is presented in this proposed work: electrocardiogram (ECG) signal, blood pressure signal, oxygen saturation (SpO2) signal, and the text input. This work is an extension version for our relevant formulating of dataset that presented in [1] and a trustworthy and relevant medical dataset library (PhysioNet [2]) was used to acquire these signals. The dataset includes medical features from heterogenous sources (sensory data and non-sensory). Firstly, ECG sensor’s signals which contains QRS width, ST elevation, peak numbers, and cycle interval. Secondly: SpO2 level from SpO2 sensor’s signals. Third, blood pressure sensors’ signals which contain high (systolic) and low (diastolic) values and finally text input which consider non-sensory data. The text inputs were formulated based on doctors diagnosing procedures for heart chronic diseases. Python software environment was used, and the simulated big data is presented along with analyses.

Abstract (en): The Study of Women's Health Across the Nation (SWAN), is a multi-site longitudinal, epidemiologic study designed to examine the health of women during their middle years. The study examines the physical, biological, psychological, and social changes during this transitional period. The goal of SWAN's research is to help scientists, health care providers, and women learn how mid-life experiences affect health and quality of life during aging. The data include questions about doctor visits, medical conditions, medications, treatments, medical procedures, relationships, smoking, and menopause related information. The study is co-sponsored by the National Institute on Aging (NIA), the National Institute of Nursing Research (NINR), the National Institutes of Health (NIH), and the NIH Office of Research on Women's Health. The study began in 1994. Between 1999 and 2001, 2,710 of the 3,302 women that joined SWAN were seen for their third follow-up visit. The research centers are located in the following communities: Detroit, Michigan; Boston, Massachusetts; Chicago, Illinois; Oakland and Los Angeles, California; Newark, New Jersey; and Pittsburgh, Pennsylvania. SWAN participants represent five racial/ethnic groups and a variety of backgrounds and cultures. 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: Created variable labels and/or value labels.; Created online analysis version with question text.; Checked for undocumented or out-of-range codes.. Presence of Common Scales: Raw data can be used to create CES-D and SF-36 scores. Response Rates: 16,065 completed the screening interview. 3,302 were enrolled in the longitudinal study. 2,881 completed the first follow-up visit. 2,748 completed the second follow-up visit. 2,710 completed the third follow-up visit. Datasets:DS1: Study of Womens Health Across the Nation (SWAN): Visit 03 Dataset, [United States], 1999-2001 Women age 40 through 55, living in designated geographic areas, with the ability to speak English or other designated languages (Japanese, Cantonese, or Spanish), who had the cognitive ability to provide verbal informed consent, and had membership in a specific site's targeted ethnic group. Smallest Geographic Unit: None Site-specific sampling frames were used and encompassed a range of types, including lists of households, telephone numbers, and individual names of women. 2019-05-29 This data collection has been enhanced in the following ways. The title of the study was updated to match current ICPSR standards. Variable labels have been revised to spell out abbreviations and acronyms, and to correct prior misspellings. The variables in the dataset have also been reordered to match the documentation provided by the Principal Investigator. A fuller version of the question text pertaining to individual variables was completed, and now available in the ICPSR codebook. An additional document was included in this release that lists all the publications based off of the SWAN data series. Lastly, the study is now available for online analysis.2018-08-22 The data were updated to adjust missing values.2014-02-12 This data collection is now publicly available. Funding institution(s): United States Department of Health and Human Services. National Institutes of Health (NR004061). United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (AG012495, AG012505, AG012539, AG012546, AG012553, AG012554). United States Department of Health and Human Services. National Institutes of Health. National Institute of Nursing Research (AG012535). United States Department of Health and Human Services. National Institutes of Health. Office of Research on Women's Health (AG012531). face-to-face interview self-enumerated questionnaire

A longitudinal study which follows the cohort of current residents and discharged residents sampled from the 1985 National Nursing Home Survey (NNHS), thus permitting study of nursing home and hospital utilization over time. The study was conducted in three waves. To supplement the current and discharged resident components, the 1985 NNHS included a new component - the Next-of-Kin (NOK). The NOK, using a Computer Assisted Telephone Interviewing (CATI) system, was designed to collect information about current and former nursing home residents that is not generally available from patient records or other sources in the nursing home. The NNHSF obtains additional information on a portion of the residents for whom a Current Resident Questionnaire (CRQ) or a Discharged Resident Questionnaire (DRQ) was completed. In September 1994, the NNHSF Mortality Public Use Data Tape was released, covering the years 1984-1990. It contains the multiple cause-of-death information for 6,507 subjects from the NNHSF found to be deceased after linking and matching of files with the National Death Index. Information on the mortality tape includes the date of death, region of occurrence and residence, etc. All NNHSF tapes include a patient identification number common across files to allow linkage among them. Data Availability: Public Use data tapes for each wave and the mortality tape are available through the National Technical Information Office (NTIS), NACDA and the ICPSCR at the University of Michigan. The 1985 survey tape includes eight files: the facility questionnaire, nursing staff questionnaire, current resident questionnaire, discharged resident questionnaire, expense questionnaire, nursing staff sampling list, current resident sampling list, discharged resident sampling list. The next-of-kin questionnaire is available on a separate tape. * Dates of Study: 1987-1990 * Study Features: Longitudinal * Sample Size: ** 1987: 6,001 (Wave I) ** 1988: 3,868 (Wave II) ** 1990: 3,041 (Wave III) Links: * Wave I (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09813 * Wave II (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/09838 * Wave III (ICPSR): http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/06142

ABSTRACT Objective: To verify the application of the Operative Group as a care tool for the workers of Primary Health Care, with a view to the constitution of mental health care at work. Method: Convergent Care Research as a research process and health workers as subjects. The intervention strategy as a proposal to accommodate the mental suffering of the worker was the Operative Group. Results: Two categories emerged: "Evidence of Suffering at Work" and "Group Learning: Group Reception by the Group". Final considerations: The use of the Operative Group has been assertive in providing the subjects with a space for listening to adversities in the work environment and active learning of reality, reflection and confrontation of basic fears, development of a pro-change project through peer and active learning of reality.

The Nursing Informatics Consulting Services market is a rapidly evolving segment of the healthcare industry, where the integration of nursing science, computer science, and information systems enhances patient care. It involves the use of data and technology to streamline healthcare processes, improve patient outcom

Background: Improper information transmission can lead to compromised patient safety and quality of life when patients are transferred from one setting to another. Electronic instruments may improve this situation, however, they are rarely used.

Objective: The aim of this study therefore was to investigate the technical and organizational feasibility, usability, usefulness and completeness of an electronic instrument that is based on the German HL7 CDA standard for eNursing Summaries.

Materials and methods: To this end, a test health telematics infrastructure, which included the German electronic health card, was established and nursing summary application was developed that allowed summary documents to be communicated between a hospital and a nursing home. The users were asked to evaluate the usability of the nursing summary application as well as to compare the usefulness and completeness of electronically and paper transmitted information.

Results: This study demonstrated the feasibility of implementing an electronic nursing summary application that was based on the German HL7 CDA standard eNursing Summary and that was integrated in a test health telematics infrastructure. It could also be shown that the users rated this application as usable and that electronically supported patient transfers were superior to paper based ones. The use of the German electronic health card was regarded as a barrier by the users.

Discussion: This study emphasizes the feasibility, relevance and barriers of electronically supported transfers of patients with nursing needs. Nurses working in hospitals and long-term care can integrate an application based on the HL7 CDA Standard ePfgebericht into their working processes and get better and more complete information. To ensure continuity of care in a sustainable manner in the future, the German HL7 CDA based eNursing Summary standard should become part of the German telematics infrastructure.

The National Nursing Home Survey (NNHS) is a survey of nursing homes and related care facilities in the United States. Between July and December 1999, information regarding facility and financial characteristics was gathered from 1,423 facilities, along with current resident information for 8,215 residents. For Part 1, Facility Questionnaire Data, personal interviews with facility administrators provided information on topics such as certification, availability of beds, and kinds of services provided, including dental, hospice, and nutrition. Part 2, Current Resident Questionnaire Data, provides information on age, race, marital status, level of care, and use of aids such as walkers, hearing aids, and crutches. Part 3, Discharged Resident Questionnaire Data, includes date of admission, reason for discharge, admission diagnosis, discharge diagnosis, assistive devices used, help needed with daily activities, services provided (health, mental health, transportation, social, educational), and payment sources.

Background The nursing process system (NPS) is used to establish the nursing process involving assessment, diagnosis, planning, intervention, and evaluation in solving the health problems of patients. Objectives The factors influencing the use of the NPS by nurses were analyzed based on user satisfaction and technology acceptance within the 3Q (service quality, information quality, and system quality) model. Methods In this cross-sectional quantitative study, the valid responses of 222 nurses to a questionnaire were obtained; these nurses worked at eight hospitals affiliated with public organizations in Taiwan. Structural equation modeling was used to analyze information quality, system quality, service quality, user satisfaction, perceived usefulness, perceived ease of use, perceived enjoyment, behavioral attitude, and intention after the nurses had used the NPS system for more than 1 month. Results Information quality, service quality, and system quality influenced user satisfaction. User satisfaction affected perceived usefulness, perceived ease of use, and perceived enjoyment and had the highest explanatory power (R2 = 0.75). Furthermore, perceived usefulness, perceived ease of use, and perceived enjoyment influenced behavioral attitude and intention to use the system. The proposed model explained 53% of the variance in the intention to use the NPS. Conclusions The relationships between the variables of the 3Q model were successfully used to examine the intention of nurses toward using the NPS. Using the findings of this study, designers and programmers can comprehensively understand the perceptions of nurses and further improve the performance of the NPS.

The 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. All nursing homes that participated in the NNHS had at least three beds and were either certified (by Medicare or Medicaid) or had a state license to operate as a nursing home. The redesigned survey was administered using a computer-assisted personal interviewing (CAPI) system and included a supplemental survey of nursing assistants employed by nursing homes, the National Nursing Assistant Survey (NNAS), which was sponsored by the Office of the Assistant Secretary for Planning and Evaluation (APSE).

The National Nursing Home Survey provides information on nursing homes from two perspectives-that of the provider of services and that of the recipient of care. Data about the facilities include characteristics such as size, ownership, Medicare/Medicaid certification, services provided and specialty programs offered, and charges. For recipients, data were obtained on demographic characteristics, health status and medications taken, services received, and sources of payment.

Data for the survey were obtained through personal interviews with facility administrators and designated staff who used administrative records to answer questions about the facilities, staff, services and programs, and medical records to answer questions about the residents.

The total number of nursing home facilities that participated in NNHS is 1,174 and the total number of nursing assistants that participated in the National Nursing Assistant Survey is 3,017.

Although, strengthening patient safety competencies in nursing has been emphasized for enhancing quality care and patient safety. However, little is known about the association of nurses’ perceptions of patient safety competency with adverse nurse outcomes in Iranian hospitals. This study aimed to measure nurses’ levels of patient safety competency in the hospitals of Iran and examines the relationship between patient safety competency with the occurrence and reporting of adverse events (AEs). This cross-sectional research was applied in eight teaching hospitals in Tehran, Iran, between August and December 2021. A sample of 511 nurses was randomly selected using the table of random numbers. The validated Patient Safety Competency Self-Evaluation questionnaire was used. Furthermore, two questions were used to measure the incidence and reporting of AEs. Data analysis was performed using descriptive statistics, independent t-tests, and two binary logistic regression models through SPSS version 24.0. The mean patient safety competency score was 3.34 (SD = 0.74) out of 5.0; 41.5% of nurses rated their patient safety competency as less than 3. Among subscales, “skills of patient safety” scores were the highest, and “knowledge of patient safety” scores were the lowest. Nurses with higher Knowledge and Attitude scores were less likely to experience the occurrence of AEs (OR = 1.50 and OR = 0.58, respectively). Regarding AEs reporting, nurses with higher Skill and Attitude scores were 2.84 and 1.67 times, respectively, more likely to report AEs (OR = 2.84 and OR = 3.44, respectively). Our results provide evidence that enhancing PSC leads to reduced incidence of AEs and increased nurses’ performance in reporting. Therefore, it is recommended that managers of hospitals should enhance the patient safety competency of nurses in incidents and reporting of patient safety adverse outcomes through quality expansion and training. Additionally, researchers should carry out further research to confirm the findings of the current study and identify interventions that would strengthen patient safety competencies and reduce the occurrence of AEs, and rise their reporting among nurses.

✅ Advances in Nursing Science ISSN - ResearchHelpDesk - Advances in Nursing Science - Consistently ranked as one of the most-read and most assigned journals by faculties of graduate programs in nursing, Advances in Nursing Science (ANS) is intellectually challenging, innovative, and progressive, and features articles from a wide range of scholarly traditions. The journal particularly encourages works that speak to the need for global sustainability and that take an intersectional approach, recognizing class, color, sexual and gender identity, and other dimensions of human experience related to health. Articles in ANS are peer-reviewed and chosen for their pioneering perspectives and for their significance in contributing to the evolution of the discipline of nursing. RG Journal Impact: 0.53 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2018 / 2019 0.53 2017 0.10 2016 0.24 2015 0.32 2009 0.30 2008 0.39 2007 0.70 2006 0.75 2005 0.83 2004 0.80 2003 0.99 2002 0.75 2001 0.69 2000 0.54 Additional details Cited half-life 0.00 Immediacy index 0.07 Eigenfactor 0.00 Article influence 0.33 Website description Advances in Nursing Science website Other titles Advances in nursing science, Advances in nursing science ISSN 0161-9268 OCLC 4064666 Material type Periodical, Internet resource Document type Journal / Magazine / Newspaper, Internet Resource