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The use of electronic documentation systems (EDS) has the potential to ensure timely, up-to-date and comprehensive patient health-related information is available and accessible to nurses regardless of their physical location. Despite the benefits of EDS, nurses' low intention to use such systems is well documented, which may predict behavioural usage. Further, limited knowledge exists about nurses' intention to use EDS in the context of home care. The aim of the study was to examine factors that influence nurses' intention of using EDS in home care practice. The conceptual model framing this study is adapted from the Unified Theory of Acceptance and Use of Technology (UTAUT). A cross-sectional design was used. Nurses (N = 217) currently practicing within the home care sector in Ontario participated in the study. An online survey using adapted and psychometrically sound quantitative instruments was administered. Data were analyzed with descriptive statistics and hierarchical linear regression. Performance expectancy, attitude, social influence and facilitating conditions had significant, positive and direct effects on nurses' behavioural intention. Effort expectancy and nurses' individual characteristics (i.e., age, level of education and technology experience) were not found to have a direct and/or moderating influence on nurses' intention to use EDS in home care practice. Theory, practice and research implications for the findings are presented and discussed.
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http://dx.doi.org/10.12927/cjnl.2019.25961 | DOI Listing |
J Adv Nurs
September 2025
School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Aim: This study examined the moderating effects of income inequality and nurse-patient relationships on the association between occupational stress and nurse turnover intentions in large urban hospitals in China, providing evidence for developing targeted retention strategies.
Design: A cross-sectional study.
Methods: Data from 13,298 nurses in 46 hospitals in Xi'an, China (October-December 2023) were analysed using hierarchical regression to assess associations between occupational stress, organisational and professional turnover intentions and the moderating roles of the expected income achievement rate (calculated as [actual/expected income] × 100%) and nurse-patient relationship quality.
Appl Nurs Res
October 2025
Ordine delle Professioni Infermieristiche di Bergamo, via Pietro Rovelli 45, Bergamo 24125, Italy.
Introduction: A growing number of nurses are expressing the intention to leave their current jobs or the nursing profession entirely. This trend poses a significant threat to healthcare systems, contributing to increased adverse events, reduced quality of care, poorer patient outcomes, and elevated healthcare costs due to staff turnover and organizational instability.
Objective: This study aimed to examine job satisfaction and the intention to leave both current employment and the nursing profession among registered nurses affiliated with the Provincial Order of Nurses (Ordine delle Professioni Infermieristiche, OPI) in Bergamo, Northern Italy.
J Am Assoc Nurse Pract
September 2025
Columbia University Mailman School of Public Health, New York, NY.
Background: Nurse Practitioners (NPs) are integral to addressing the evolving demands of health care, delivering high-quality, cost-effective care across diverse settings. Despite their critical role, research exploring the impact of organizational belonging on NPs' job satisfaction, burnout, and retention remains limited.
Purpose: The purpose of the study was to explore the association between organizational practice environment and organizational belonging for NPs who work across all practice environments.
Nihon Koshu Eisei Zasshi
September 2025
Graduate School of Nursing Science, St. Luke's International University.
Objectives This study aimed to determine how turnover intentions among public health nurses have changed following their coronavirus disease 2019 (COVID-19) response compared to 10 years ago, using propensity score matching.Methods As part of the Committee on Public Health Nursing's 2022/2023 activities, we conducted a repeated cross-sectional survey among public health nurses based on the Job Demands-Resources Model, a theoretical framework for turnover intentions. We collected cross-sectional observational data from periods before and after the COVID-19 outbreak.
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