Patient preferences for personalized (N-of-1) trials: a conjoint analysis.

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 Per

SUBMITTER: Moise N 

PROVIDER: S-EPMC6119511 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature