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  • Validation of a German tran...
    Wessels, Frederik; Lenhart, Maximilian; Neuberger, Manuel; Mühlbauer, Julia; Huber, Johannes; Breyer, Johannes; Nuhn, Philipp; Michel, Maurice S.; Koenig, Julian; Kriegmair, Maximilian C.

    World journal of urology, 10/2021, Letnik: 39, Številka: 10
    Journal Article

    Purpose 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. Methods 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). Results 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  = 30.37, p  <  0.0001 ) and the total CARE score (TCS) ( χ ( 4 ) 2  = 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  = 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 ). Conclusion This German translation of the CARE can serve as a valid ePROM to measure recovery and predict QoL after major urological surgery.