摘要
目的调查肾癌术后患者重返工作的影响因素并构建预测模型。方法2022年4-12月,采用便利抽样法选取广东省某三级甲等肿瘤医院肾癌术后1个月的患者228例开展横断面调查,通过Logistic回归分析,分析其重返工作的影响因素并构建预测模型。结果被调查的228例肾癌术后患者,重返工作56例(24.56%);肾癌术后患者重返工作的影响因素:主要有教育程度、焦虑抑郁情绪、重返工作自我效能、手术类型(均P<0.05);预测模型的受试者工作特征曲线下面积为0.828、灵敏度为0.875、特异度为0.703、正确率为74.60%;拟合优度(χ^(2)=7.993,P=0.434)。结论肾癌术后患者重返工作率较低,构建的肾癌术后患者重返工作预测模型能预测其术后未重返工作的风险,可进一步开展临床验证,并为后续制订肾癌术后患者重返工作干预措施提供依据。
Objective To investigate the influencing factors of postoperative renal cancer patients returning to work and construct a prediction model.Methods Using convenience sampling method,a cross-sectional survey was conducted on postoperative renal cancer patients from April to December 2022 at a tertiary A oncology hospital in Guangdong Province.Logistic regression analysis was employed to explore the influencing factors for their return to work and construct a prediction model.Results A total of 228 patients were included,and fifty-six cases(24.56%)returned to work.Influencing factors for renal cancer patients returning to work were education level,anxiety and depression,self-efficacy of returning to work,and type of surgery(all P<0.05);the area under the receiver operating characteristic curve of the model was 0.828,with a sensitivity of 0.875,specificity of 0.703,and accuracy of 74.60%;goodness of fit(χ^(2)=7.993,P=0.434).Conclusions The rate of patients returning to work after renal cancer surgery is low.The prediction model demonstrated good performance and can serve as a reference for nursing personnel to screen and assess patients facing difficulties in returning to work after surgery.These findings can be further explored for future clinical use,and provides an important basis of the return-to-work interventions.
作者
陈小萍
刘文婷
陈宇琦
何彬
何艳
陈瑜
CHEN Xiaoping;LIU Wenting;CHEN Yuqi;HE Bin;HE Yan;CHEN Yu(School of Nursing,Southern Medical University,Guangzhou 510515,Guangdong Province,China;Urology Department,Sun Yat-sen University Cancer Center,Guangzhou 510060,Guangdong Province,China;ICU,Huazhong University of Science and Technology Union Shenzhen Hospital,Shenzhen 518000,Guangdong Province,China)
出处
《军事护理》
CSCD
北大核心
2023年第11期9-13,共5页
MILITARY NURSING
基金
广东省本科高校教学质量工程建设项目(粤教高函〔2020〕19号)
教育部产学合作协同育人项目(220605695305103)
广东省学位与研究生教育改革研究项目(2021JGXM026)。
关键词
肾癌术后患者
重返工作
影响因素
预测模型
renal cancer patient
return to work
influencing factor
prediction model
