Enhanced recovery after surgery versus conventional postoperative care in patients undergoing hysterectomy: a systematic review and meta-analysis.

PURPOSE: Hysterectomy is a common gynecological surgery associated with significant postoperative discomfort and extended hospital stays. Enhanced recovery after surgery (ERAS), a multidisciplinary approach, has emerged as a strategy aimed at improving perioperative outcomes and promoting faster patient recovery and satisfaction. This meta-analysis aimed to evaluate the impact of ERAS protocols on clinical outcomes, such as hospital stay length, readmission rates, and postoperative complications, in patients undergoing gynecological hysterectomy. METHODS: Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, a systematic review and meta-analysis were conducted. Databases including PubMed, Embase, and Cochrane library were searched for relevant studies published up to January 31, 2023. A total of seventeen studies were selected based on predefined eligibility and exclusion criteria. Meta-analysis was carried out using a random-effects model with the STATA SE 14.0 software, focusing on outcomes like length of hospital stay, postoperative complications, and readmission rates. RESULTS: ERAS protocols significantly reduced the length of hospital stays and incidence of postoperative complications such as ileus, without increasing readmission rates or the level of patient-reported pain. Notable heterogeneity was observed among included studies, attributed to the variation in patient populations and the specificity of the documented study protocols. CONCLUSION: The findings underscore the effectiveness of ERAS protocols in enhancing recovery trajectories in gynecological hysterectomy patients. This reinforces the imperative for broader, standardized adoption of ERAS pathways as an evidence-based approach, fostering a safer and more efficient perioperative care paradigm.

Mediating effects of social support, mental health between stress overload, fatigue and turnover intention among operating theatre nurses.

BACKGROUND: The high rate of nurses turnover and nursing staff shortage have been an ongoing concern issue and a challenge for global health systems. To explore the turnover intention among operating theatre nurses, and to test the hypothetical model for estimating the effects of stress overload and fatigue between social support, mental health and turnover intention. DESIGN: a multi-center and cross-sectional online survey. METHODS: This study was conducted from October 2020 to March 2021 comprised 1060 operating theatre nurses from 76 Chinese hospitals. The descriptive analysis, independent sample t test and one-way analysis of variance and Spearman correlation analysis were used to explore the relationships among variables by the SPSS software, and stepwise multiple linear regression analysis was utilized to identify influencing factors of turnover intention and its dimensions among operating theatre nurses. A structural equation model was analyzed by the AMOS software. RESULTS: Social support, mental health, stress overload and fatigue were important predictors of turnover intention among operating theatre nurses. Besides, stress overload positively affected fatigue, mental health and turnover intention; fatigue negatively affected social support, however, fatigue positively affected mental health; social support negatively affected mental health and turnover intention; mental health positively affected turnover intention. Moreover, social support, mental health mediated between stress overload, fatigue and turnover intention among operating theatre nurses. CONCLUSION: Social support, mental health mediated between stress overload, fatigue and turnover intention among operating theatre nurses.