1. Patient preferences for personalized (N-of-1) trials: a conjoint analysis
- 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, and Shea, Steven
- Subjects
Epidemiology ,Health Sciences ,Clinical Research ,Comparative Effectiveness Research ,Clinical Trials and Supportive Activities ,Good Health and Well Being ,Adult ,Age Factors ,Aged ,Clinical Trials as Topic ,Cross-Sectional Studies ,Evidence-Based Medicine ,Female ,Health Expenditures ,Humans ,Logistic Models ,Male ,Middle Aged ,Patient Preference ,Precision Medicine ,Socioeconomic Factors ,Surveys and Questionnaires ,Members of the “Personalized Trial Collaboratory” ,Conjoint analysis ,Discrete choice ,Heterogeneity of treatment effects ,Multi-morbidity ,N-of-1 trials ,Patient-centered care ,Mathematical Sciences ,Medical and Health Sciences - 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
- Published
- 2018