The willingness of patients to accept an additional mortality risk in order to improve renal graft survival

Abstract

The large interindividual variability of utility values precludes a prediction about the acceptance of a new therapeutic regimen by an individual patient. The assessment of the utility enables, however, a more objective judgment of the general acceptance of any possible risk/benefit ratio induced by a new immunosuppressive regimen in our patient population.

The effectiveness and cost-effectiveness of methods of storing donated kidneys from deceased donors: a systematic review and economic model

“…Of these, 18 papers were retrieved which either appeared to have measured, or stated that they had measured, quality of life in both kidney transplant patients and those on dialysis. 24,[28][29][30][32][33][34][35][88][89][90][91][92][93][94][95][96][97] These were in addition to the two studies already found (for researching Chapter 1) which had used the SF-36 in both dialysis patients and kidney transplant recipients. 23,34 (A further 49 studies appeared to have evaluated quality of life in either kidney transplant patients or those on different modalities of dialysis.…”

“…General Health Questionnaire, General Well-Being, the '15-D', Sickness Impact Profile). The studies by Girardi and colleagues 91 and by Russell and colleagues 95 both used TTO or standard gamble methods to elicit utility weights from the patients themselves. In general, it seems that empirical quality of life studies in groups of patients on dialysis and/or with ESRD or kidney transplants have more often used disease-specific than generic measures of healthrelated quality of life.…”

Optimal threshold estimator of a prognostic marker by maximizing a time-dependent expected utility function for a patient-centered stratified medicine

“…Subtil et al 9 recalled that expected utility function for stratified decision making are related to decision curves developed by Vickers et al 39,40 and initially proposed to compare predictive models. Decision Curves Analysis (DCA) does not directly compare to our approach since it does not aim at determining an optimal threshold for the marker.…”