Influence of enhanced recovery after surgery nursing model forperioperative patients in orthopaedic surgery on complications:a Meta-analysis / 中国实用护理杂志

ABSTRACT

Objective To evaluate the influence of enhanced recovery after surgery (ERAS) nursing model for perioperative patients in orthopedic surgery on complications. Methods Computer-based search of electronic databases the Cochrane Library, PubMed, Embase, Web of Science, CNKI, WF and CBM Database to search for randomized controlled trials on the application of ERAS nursing models in orthopaedic patients at domestic and foreign before March 16, 2018, data were selected and screened according to the inclusion and exclusion criteria. RevMan 5.3 was used for meta-analysis of the included studies. Results A total of 25 RCTs were included in the study and a total of 2 412 patients were included. Meta-analysis showed that the incidence of deep venous thrombos[ RR=0.38, 95% CI (0.24, 0.61), P<0.01], and incidence of pulmonary infection[ RR=0.26, 95% CI (0.10, 0.67), P=0.005], incidence of urinary tract infections[ RR=0.28, 95% CI (0.10,0.78), P=0.01], incidence of constipation [ RR=0.30, 95% CI (0.17,0.56), P=0.0001], The incidence of bloating [ RR=0.35, 95% CI (0.13, 0.95), P=0.04], they were lower in the experimental group than in routine care, they were statistically significant. Incidence of incision infection [ RR=0.75, 95% CI (0.17, 3.27), P= 0.70], incidence of pressure sores [ RR=0.34, 95% CI (0.09, 1.27), P=0.11], incidence of nausea and vomiting [ RR=0.81, 95% CI (0.52, 1.25), P=0.34 ] were not statistically significant; postoperative hospital stay, hospitalization costs, and patient satisfaction were statistically significant. Conclusions Compared with routine care, the ERAS nursing model can promote the recovery of orthopedic patients during perioperative period, reduce postoperative deep venous thrombosis, constipation, pulmonary infection, urinary tract infection, postoperative hospital stay, hospitalization costs, and patient satisfaction. All have a positive impact, but more multicentre and large sample clinical trials are needed for validation.