LAUSR

To validate a German translation of the convalescence and recovery evaluation (CARE) as an electronic patient-reported outcome measure (ePROM) and use it to assess recovery after major urological surgery. The CARE questionnaire was provided to patients scheduled for major urological surgery preoperatively, at discharge and 6 weeks postoperatively, using an ePROM system. Cronbach’s alpha, inter-scale correlations and confirmatory factor analysis (CFA) were used to validate the translation. Mixed linear regression models were used to identify factors influencing CARE results, and a multivariable logistic regression analysis was done to determine the predictive value of CARE results on quality of life (QoL). A total of 283 patients undergoing prostatectomy (n = 146, 51%), partial/radical nephrectomy (n = 70, 25%) or cystectomy (n = 67, 24%) responded to the survey. Internal consistency was high (α = 0.649–0.920) and the CFA showed a factor loading > 0.5 in 17/27 items. Significant main effects were found for the time of survey and type of surgery, while a time by type interaction was only found for the gastrointestinal subscale (χ(4)2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\chi_{(4)}^{2}$$\end{document} = 30.37, p < 0.0001) and the total CARE score (TCS) (χ(4)2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\chi_{(4)}^{2}$$\end{document} = 13.47, p = 0.009) for cystectomy patients, meaning a greater score decrease at discharge and lower level of recovery at follow-up. Complications demonstrated a significant negative effect on the TCS (χ(2)2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\chi_{(2)}^{2}$$\end{document} = 8.61, p = 0.014). A high TCS at discharge was an independent predictor of a high QLQ-C30 QoL score at follow-up (OR = 5.26, 95%-CI 1.42–19.37, p = 0.013). This German translation of the CARE can serve as a valid ePROM to measure recovery and predict QoL after major urological surgery.