Objectives: Eliciting preferences and trade-offs that patients may make to achieve important outcomes, can assist in developing patient-centred research and care. The pilot study aimed to test the feasibility of a case 2 best-worst scaling survey (BWS) to elicit recipient with kidney transplantation preferences after transplantation. Design: Preferences for graft survival and dying, cancer, cardiovascular disease, diabetes, infection and side effects (gastrointestinal, weight-gain and appearance) were assessed in recipients with transplantation using a BWS (20 scenarios of nine outcomes). Participants chose 'best' and 'worst' outcomes. Responses were analysed using a multinomial logit model. Selected participants were interviewed. Outcomes:...
Objective: To explore how patients who are wait-listed for or who have received a kidney transplant ...
<i>Objective</i>: To explore whether and how people wish to give differential priority b...
Background Donor-characteristics and donor characteristics-based decision algorithms are being progr...
© 2017 Wolters Kluwer Health, Inc. All rights reserved. Background: The care of kidney transplant re...
The willingness of patients to accept an additional mortality risk in order to improve renal graft s...
Kidney transplantation is associated with improved survival and quality of life compared to dialysis...
Involving patients in medical decisions by acknowledging patients personal values and individual pre...
Background. Inconsistencies in outcome reporting and frequent omission of patient-centered outcomes ...
We elicit time and risk preferences for kidney transplantation from the entire population of patient...
Background: Inconsistencies in outcome reporting and frequent omission of patient-centered outcomes ...
BackgroundInconsistencies in outcome reporting and frequent omission of patient-centered outcomes ca...
Policies for allocating deceased donor kidneys have recently shifted from allocation based on Human ...
In order to sustain life, patients whose kidneys fail must receive dialysis or obtain a transplant. ...
Background: Discrete choice experiment (DCE), conjoint analysis or adaptive conjoint analysis method...
International audienceBACKGROUND: The potential for clinical trials to impact patient care may be li...
Objective: To explore how patients who are wait-listed for or who have received a kidney transplant ...
<i>Objective</i>: To explore whether and how people wish to give differential priority b...
Background Donor-characteristics and donor characteristics-based decision algorithms are being progr...
© 2017 Wolters Kluwer Health, Inc. All rights reserved. Background: The care of kidney transplant re...
The willingness of patients to accept an additional mortality risk in order to improve renal graft s...
Kidney transplantation is associated with improved survival and quality of life compared to dialysis...
Involving patients in medical decisions by acknowledging patients personal values and individual pre...
Background. Inconsistencies in outcome reporting and frequent omission of patient-centered outcomes ...
We elicit time and risk preferences for kidney transplantation from the entire population of patient...
Background: Inconsistencies in outcome reporting and frequent omission of patient-centered outcomes ...
BackgroundInconsistencies in outcome reporting and frequent omission of patient-centered outcomes ca...
Policies for allocating deceased donor kidneys have recently shifted from allocation based on Human ...
In order to sustain life, patients whose kidneys fail must receive dialysis or obtain a transplant. ...
Background: Discrete choice experiment (DCE), conjoint analysis or adaptive conjoint analysis method...
International audienceBACKGROUND: The potential for clinical trials to impact patient care may be li...
Objective: To explore how patients who are wait-listed for or who have received a kidney transplant ...
<i>Objective</i>: To explore whether and how people wish to give differential priority b...
Background Donor-characteristics and donor characteristics-based decision algorithms are being progr...