BMC Nursing, Год журнала: 2025, Номер 24(1)
Опубликована: Апрель 10, 2025
Язык: Английский
Intensive and Critical Care Nursing, Год журнала: 2025, Номер 87, С. 103937 - 103937
Опубликована: Янв. 8, 2025
Язык: Английский
Процитировано
1
BMC Nursing, Год журнала: 2025, Номер 24(1)
Опубликована: Янв. 21, 2025
Язык: Английский
Процитировано
1
Nursing Open, Год журнала: 2025, Номер 12(1)
Опубликована: Янв. 1, 2025
ABSTRACT Aim To explore the influence of emotional intelligence and organisational commitment (OC) on clinical nurses' turnover intention (TI) to provide intervention strategies reduce rate nursing staff maintain stability team. Design A cross‐sectional descriptive study was conducted with nurses ( n = 452) in a tertiary hospital Kaifeng City, Henan Province, China. Methods The project July 2023. data were collected using scale, Wong Law scale scale. Results score (3.07 ± 0.68), (3.04 (2.70 0.58). Organisational scores are negatively correlated intention; mediating effect is −0.406, accounts for 49.9%. Public Contribution Nurses' can directly predict intention, plays role relationship between intention. This research makes substantial contribution public healthcare sector. findings valuable insights administrators, policy‐makers educators, offering evidence‐based improve nurse retention enhance quality patient care. It important note that upholds highest standards integrity, meticulous review process dedicated effort quality.
Язык: Английский
Процитировано
1
Journal of Nursing Scholarship, Год журнала: 2025, Номер unknown
Опубликована: Янв. 31, 2025
ABSTRACT Introduction Nurses' job satisfaction in hospitals is fundamental for the quality of care and safety patients. However, sociodemographic trends require moving to patients' homes, predictors nurses working home settings remain largely unknown. Therefore, aim this study was investigate Italian its determinants. Design Multicenter observational cross‐sectional study. Methods This conducted districts 70 local health authorities Italy. Data on characteristics organization were collected. Nursing evaluated a four‐point scale ranging from “very satisfied” dissatisfied.” Additionally, following variables assessed: workload, leadership, work–private life conflict, burnout symptoms, possibility development, staffing resource adequacy, nurse manager ability, climate, teamwork climate. A logistic regression analysis identify factors influencing satisfaction. Results Only organizational had predictive value nurses' Workload (OR = 1.01; p 0.033), conflict 1.02; < 0.001), inadequacy 1.44; 0.003) predicted higher levels dissatisfaction. Instead, high‐quality leadership 0.981; development 0.973; good climate 0.994; better Conclusions suggested that are generally satisfied with their jobs. To enhance satisfaction, it essential improve work environment, ensure professional development. Clinical Relevance Our results globally relevant as they contribute limited evidence available topic settings. emphasizes need measuring implementing interventions promote healthy environments.
Язык: Английский
Процитировано
1
Journal of Clinical Medicine, Год журнала: 2025, Номер 14(4), С. 1145 - 1145
Опубликована: Фев. 10, 2025
Background/Objectives: Several studies have reported alarming rates of mental health issues and sleep problems among nurses even in the post-pandemic era. The objective was to investigate prevalence stress, anxiety depressive symptoms, burnout insomnia Greece one year after end pandemic construct a mediation model evaluating impact stress on insomnia, chain mediating roles symptoms burnout, as well moderating role model. Methods: This cross-sectional study conducted online July 2024 included 380 hospital who completed Depression Anxiety Stress Scale (DASS-21), Copenhagen Burnout Inventory (CBI) Athens Insomnia (AIS). Results: were 33.9% with 95% confidence interval (CI): [0.292, 0.390], 33.3% (95% CI: [0.284, 0.381]), 35% [0.302, 0.400]), 46.8% [0.399, 0.502]) 56.1% [0.509, 0.611]), respectively. Multiple regression analysis indicated that subscale DASS-21 explained 40.6% variance AIS, while an additional 7.6% by CBI another 1.3% rate DASS-21. Mediation revealed affected both directly indirectly through burnout. moderated path enhancing negative symptoms. Conclusions: proposed introduces certain factors influencing explains how changes any these effectuate other factors, offering insights for individualized interventions.
Язык: Английский
Процитировано
1
Nursing in Critical Care, Год журнала: 2025, Номер 30(2)
Опубликована: Фев. 26, 2025
Abstract Background Intensive care units present various challenges that can affect the productivity of nurses who play a critical role in ensuring patient safety; however, relationship between these nurses' work and safety attitudes has not been sufficiently explored. Aim To investigate among intensive (ICCNs) using structural equation modelling (SEM). Study Design This cross‐sectional study involved 372 ICCNs were members Turkish Society Critical Care Nurses. Data collected via an online survey Nurse Information Form, Attitudes Toward Productivity Scale (ATPS) Patient Safety Attitude Questionnaire (PSAQ). Results A significant positive correlation was found total ATPS PSAQ score ( r = .704, p < .01). The SEM analysis revealed teamwork climate β .192, .001), perceptions management .141, .001) job satisfaction .482, positively predicted towards productivity, while stress recognition had negative impact −.219, .001). model accounted for 62.2% variance demonstrated good fit indices χ 2 /df 3.566; GFI 0.989; CFI 0.991; RMSEA 0.078). Conclusions Teamwork climate, management, significantly influence ICCNs. Enhancing factors improve ICCNs' foster attitudes, ultimately leading to better outcomes settings. Relevance Clinical Practice Health institutions need adopt strategies increase such as support initiatives, leadership development programmes managers, professional opportunities reduction interventions. Positive working environment favourable conditions well‐being performance,
Язык: Английский
Процитировано
1
Healthcare, Год журнала: 2024, Номер 12(24), С. 2555 - 2555
Опубликована: Дек. 18, 2024
Nurses are frontline caregivers who handle heavy workloads and high-stakes activities. They face several mental health issues, including stress, burnout, anxiety, depression. The welfare of nurses the standard patient treatment depends on resolving this problem. Artificial intelligence is revolutionising healthcare, its integration provides many possibilities in addressing these concerns. This review examines literature published over past 40 years, concentrating AI nursing for support, improved care, ethical issues. Using databases such as PubMed Google Scholar, a thorough search was conducted with Boolean operators, narrowing results relevance. Critically examined were publications artificial applications care ethics, health, health. examination revealed that, by automating repetitive chores improving workload management, (AI) can relieve challenges faced improve care. Practical implications highlight requirement using rigorous implementation strategies that address data privacy, human-centred decision-making. All changes must direct to guarantee sustained significant influence healthcare.
Язык: Английский
Процитировано
4
Dilemas contemporáneos Educación Política y Valores, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Este estudio analiza la prevalencia del burnout y su relación con factores estresores laborales, al considerarse manifestaciones en las dimensiones de agotamiento emocional, despersonalización, realización personal. Se ha empleado un enfoque cuantitativo mediante encuestas, utilizar el cuestionario Maslach como herramienta principal. Los resultados muestran que emocional sido manifestación más común entre los docentes. La despersonalización también factor relevante, reflejarse distanciamiento baja percepción evidenciado afectado considerablemente bienestar calidad enseñanza plantea necesidad implementar acciones, proyectos colaborativos, investigación programas reduzcan impacto síndrome burnout.
Процитировано
0
Journal of Advanced Nursing, Год журнала: 2025, Номер unknown
Опубликована: Янв. 2, 2025
ABSTRACT Aim(s) To investigate the correlation between compassion Fatigue, emotional labour and missed nursing care among intensive unit nurses. Design A cross‐sectional design. Methods Data were collected from two hospitals in Shandong Province, China, July to August 2024. total of 226 nurses completed questionnaires. The completion rate for surveys was 98%. Demographic Characteristic Questionnaire, Chinese version Compassion Fatigue‐Short Scale, Emotional Labor Scale Missed Nursing Care Questionnaire used investigation. Descriptive statistics, Multiple‐linear regression Spearman analyses data analysis. Results mean (SD) scores fatigue, 51.17 (24.64), 2.98 (0.51) 37.71(14.11), respectively. showed that fatigue positively associated with ( p < 0.05), 0.01). Furthermore, deep acting, a form labour, had significant negative relationship Conclusion rarely nurses, while care. Therefore, focusing on developing interventions alleviating may contribute decrease incidence Impact state can have impact quality It is recommended managers should promote relevant training acting instruct manage emotions during patient interactions, Patient or Public Contribution No public contribution.
Язык: Английский
Процитировано
0
Australian Critical Care, Год журнала: 2025, Номер 38(3), С. 101165 - 101165
Опубликована: Янв. 29, 2025
Язык: Английский
Процитировано
0