학술논문
Patient preferences for personalized (N-of-1) trials: a conjoint analysis
Document Type
article
Author
Moise, Nathalie; Wood, Dallas; Cheung, Ying Kuen K; Duan, Naihua; St. Onge, Tara; Duer-Hefele, Joan; Pu, Tiffany; Davidson, Karina W; Kronish, Ian M; Collaboratory”, The Members of the Personalized Trial; Alcantara, Carmela; Appelbaum, Paul; Carter, Eileen; Cohn, Elizabeth; Kravitz, Richard; Kelly, Scott; Luchsinger, Jose; Ridenour, Ty; Romandetto, Michele; Shaffer, Jonathan; Shea, Steven
Source
Subject
Language
Abstract
OBJECTIVE:Despite their promise for increasing treatment precision, Personalized Trials (i.e., N-of-1 trials) have not been widely adopted. We aimed to ascertain patient preferences for Personalized Trials. STUDY DESIGN AND SETTING:We recruited 501 adults with ≥2 common chronic conditions from Harris Poll Online. We used Sawtooth Software to generate 45 plausible Personalized Trial designs comprising combinations of eight key attributes (treatment selection, treatment type, clinician involvement, blinding, time commitment, self-monitoring frequency, duration, and cost) at different levels. Conditional logistic regression was used to assess relative importance of different attributes using a random utility maximization model. RESULTS:Overall, participants preferred Personalized Trials with no costs vs. $100 cost (utility difference 1.52 [standard error 0.07], P