FreshRSS

🔒
❌ Acerca de FreshRSS
Hay nuevos artículos disponibles. Pincha para refrescar la página.
AnteayerTus fuentes RSS

The impact of nurses' experiences of hospital violence on resilience: A mediated moderation model

Abstract

Aims

This study aims to investigate the impact of nurses' experiences of hospital violence on resilience, the mediating effect of trust in patients and the moderating effect of organizational trust.

Background

Despite belonging to the central part of health care worldwide and being the leading provider of medical services, nurses are often subjected to hospital violence, which affects their physical and mental well-being. Trust is a high-order mechanism that encourages positive thinking and personal and professional development. However, research into the impact of trust on resilience concerning nurses' experiences of hospital violence is limited.

Methods

The participants were 2331 nurses working in general hospitals in China. A cross-sectional survey was conducted, and data were collected via questionnaires from July to October 2022 and analysed using SPSS 25.0 and SPSS PROCESS 3.3 macros. This study was prepared and reported according to the STROBE checklist.

Results

Mean trust in patients was 48.00 ± 10.86 (12–60), mean organizational trust was 56.19 ± 8.90 (13–65) and mean resilience was 78.63 ± 19.26 (0–100). Nurses' experience of hospital violence had a direct negative effect on resilience (β = −.096, p = .871), a significant adverse effect on trust in patients (β = −3.022, p < .001) and a significant positive effect on trust in patients on resilience (β = 1.464, p < .001). Trusting patients played a mediating role. The significant moderating effect of organizational trust between experience of hospital violence and trust in patients was moderated by a mediating effect index of −0.1867 (95% CI = [−0.3408, −0.0345]).

Conclusions

Nurses' experience of hospital violence exerted a negative effect on resilience, trust in patients had a fully mediated effect and organizational trust had a significant moderating influence in the pathway from nurses' experience of hospital violence to patients' trust-mediated resilience.

Implications for Nursing and Health Policy

This study highlights the impact of nurses' experiences of hospital violence on resilience and explores the importance of trust from the nurses' perspective. Measures taken by managers to provide nurses with a safe, trusting and positive work environment can be highly beneficial in enhancing nurse resilience.

Effect of intramedullary nail fixation and internal plate fixation in distal tibia fracture surgery on post‐operative wound infection in patients: A meta‐analysis

Abstract

Distal tibial fracture is the most commonly seen type of fracture of the lower extremities. Both intramedullary nail fixation (INF) and plate fixation (PF) have been used to treat distal tibial fractures, but the best way to treat them is still in dispute. The purpose of this meta-analysis is to compare INF versus PF fixation with respect to the incidence of injury. For studies that have been published between inception and June 2023, a systematic review has been carried out on PubMed, Embase, Cochrane Library and Web of Scientific databases. All of the trials that looked at INF and PF-related complications were enrolled. Data from the 13 primary results were analysed with RevMan 5.3. The meta-analyses comprised 13 randomized controlled trials (RCTs). INF indicates that there is a tendency for patients with distal tibia fractures to reduce the risk of operative site infection (odds ratio [OR], 2.09; 95% confidence interval [CI], 1.40, 3.13; p = 0.0003) after surgery compared with PF. INF resulted in a reduction in total wound complications (OR, 14.20; 95% CI, 1.81, 111.57; p = 0.01) but shortened operation time (mean difference, 13.03; 95% CI, 2.08, 23.99; p = 0.02). In view of these findings, INF seems to be a preferred method of surgery for the treatment of distal tibial fractures with respect to the reduction of post-operative wound complications.

❌