Work

Construction and application of enhanced recovery after surgery‐optimized management system with nurse‐led multidisciplinary cooperation

Year: 2023
Type: article
Study design: Clinical Trial
Abstract: AIM: To evaluate the effect of enhanced recovery after surgery (ERAS)-optimized management system with nurse-led multidisciplinary cooperation. DESIGN: A quasi-experimental design. METHODS: Nursing department cooperated with medical and clinical department to establish an ERAS-optimized management system. After the system was developed, it was applied in surgical departments of the hospital. Using convenience sampling, 220 selective surgical patients, 82 nurses and 98 doctors from January 1st, 2021 to July 31st, 2021 were selected as the trial group. 220 selective surgical patients, 82 nurses and 98 doctors were selected as the control group from January 1st, 2020 to July 31st, 2020. ERAS observation indicators were compared between the two groups before and 6 months after implementation. The nurse professional identity scores and satisfaction of medical cooperation scores of the two groups at different time points were analysed by repeated analysis of variance. RESULTS: After the implementation, ERAS observation indicators in the trial group were better than the control group (p < 0.05). There were significant differences in the group main effect, time main effect and interaction effect of nurse professional identity scores, satisfaction of medical cooperation scores and scores in all dimensions between the two groups (p < 0.05). The scores of the experimental group at 3 months and 6 months after implementation were better than those of the control group (p < 0.05). CONCLUSIONS: Enhanced recovery after surgery-optimized management system with nurse-led multidisciplinary cooperation was an effective working method. It could promote patients recovery and enhance nurse professional identity.
Source: Nursing Open
Authors: Chen Xiaoyan, He Wenbin, Du Li, Li Lijun, Yin Yan, Wang Ting, He Xueyu, Lu Fang, Wang Bei, Feng Bilong
Language: English
Subfield: Surgery
Field: Medicine
Open Access status: gold
Estimated APC paid: $3,080
OpenAlex ID: W4322720355
FWCI: 3.089
Cites: 19
Cited by: 13
Related to: 10