The Effects Of Nursing Intervention On The Postoperative Quality Of Life And Early Compliance Of Patients With Cervical Cancer

Objective: This study aimed to analyze the effects of nursing intervention on the postoperative quality of life and early compliance of patients with cervical cancer. Methods: A total of 96 patients undergoing cervical cancer surgery in our hospital from February 2017 to November 2018 were recruited for the study, in which 48 randomly-selected patients were nursed comprehensively as an observation group, and the other 48 patients were nursed routinely as a control group. The patient compliance in the two groups after the nursing was evaluated according to the eight item Morisky Medication Adherence Scale (MMAS-8), and their quality of life was evaluated based on the MOS 36-Item Short-Form Health Survey (SF-36). The two groups were compared in terms of nursing satisfaction. A multivariate logistic regression analysis was adopted to analyze the risk factors for postoperative bladder dysfunction, and a receiver operating characteristic (ROC) curve was used to analyze the diagnostic values of age, surgical approach, and nursing pattern for postoperative bladder dysfunction. Results: The observation group got significantly higher MMAS-8 and SF-36 scores than the control group and showed significantly higher total nursing satisfaction than the control group (all P<0.05). A multivariate logistic regression analysis revealed that age, surgical approach, and nursing pattern were independent risk factors for postoperative bladder dysfunction. The ROC curves showed that the areas under the curve (AUC) for age, surgical approach, and nursing pattern were 0.669 (95% CI: 0.552 0.786), 0.635 (95% CI: 0.513 0.756), and 0.612 (95% CI: 0.513-0.756), respectively. Conclusion: A comprehensive nursing pattern can effectively improve the postoperative quality of life and compliance of patients with cervical cancer. Age, surgical approach, and nursing pattern are independent risk factors for postoperative bladder dysfunction, and we can predict the postoperative bladder dysfunction of patients based on those factors.