Contemporary Nursing

Objective To study the predictive nursing guided by root cause analysis in the perioperative period of elderly orthopedic surgery. Methods A total of 90 elderly orthopedic patients were admitted to our hospital from January 2024 to January 2025. The participants were randomly divided into two groups using computer randomization as the standard, namely the control group (conventional nursing) and the observation group (predictive nursing intervention guided by root cause analysis). The relevant indicator data of the two groups of patients during the implementation process were sorted and recorded, and compared and observed using a statistical system to analyze the application value of predictive nursing intervention guided by root cause analysis. Results The anxiety, depression scores, complication rate scores, and pain severity scores of the observation group were lower than those of the control group. The quality of life data showed a higher advantage compared to the control group, with a P-value<0.05 for inter group comparison, indicating statistical significance. Conclusion Implementing predictive nursing interventions guided by root cause analysis in elderly orthopedic patients can significantly alleviate their negative emotions, reduce the incidence of complications, lower pain levels, maintain quality of life, and have a definite overall effect, making it suitable for promotion.

Root cause analysis guidance; Proactive care; Perioperative period of elderly orthopedic surgery; Application effect