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Patient Preference Trade-offs for Next-Generation Kidney Replacement Therapies

医学 联合分析 透析 偏爱 置信区间 血液透析 考试(生物学) 患者满意度 重症监护医学 外科 内科学 统计 数学 古生物学 生物
作者
Leslie Wilson,Anne F. Gress,Lynda Frassetto,Harini Sarathy,Elizabeth A. Gress,William H. Fissell,Shuvo Roy
出处
期刊:Clinical Journal of The American Society of Nephrology [Lippincott Williams & Wilkins]
被引量:6
标识
DOI:10.2215/cjn.0000000000000313
摘要

Background Next-generation implantable and wearable KRTs may revolutionize the lives of patients undergoing dialysis by providing more frequent and/or prolonged therapy along with greater mobility compared with in-center hemodialysis. Medical device innovators would benefit from patient input to inform product design and development. Our objective was to determine key risk/benefit considerations for patients with kidney failure and test how these trade-offs could drive patient treatment choices. Methods We developed a choice-based conjoint discrete choice instrument and surveyed 498 patients with kidney failure. The choice-based conjoint instrument consisted of nine attributes of risk and benefit pertinent across KRT modalities. Attributes were derived from literature reviews, patient/clinician interviews, and pilot testing. The risk attributes were serious infection, death within 5 years, permanent device failure, surgical requirements, and follow-up requirements. The benefit attributes were fewer diet restrictions, improved mobility, pill burden, and fatigue. We created a random, full-profile, balanced overlap design with 14 choice pairs plus five fixed tasks to test validity. We used a mixed-effects regression model with attribute levels as independent predictor variables and choice decisions as dependent variables. Results All variables were significantly important to patient choice preferences, except follow-up requirements. For each 1% higher risk of death within 5 years, preference utility was lower by 2.22 ( β =−2.22; 95% confidence interval [CI], −2.52 to −1.91), while for each 1% higher risk of serious infection, utility was lower by 1.38 ( β =−1.46; 95% CI, −1.77 to −1.00) according to comparisons of the β coefficients. Patients were willing to trade a 1% infection risk and 0.5% risk of death to gain complete mobility and freedom from in-center hemodialysis ( β =1.46; 95% CI, 1.27 to 1.64). Conclusions Despite an aversion to even a 1% higher risk of death within 5 years, serious infection, and permanent device rejection, patients with kidney failure suggested that they would trade these risks for the benefit of complete mobility.

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