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Patient preferences for Personalized (N-of-1) Trials: A conjoint analysis
- Publication Year :
- 2018
-
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 comprised of combinations of 8 key attributes (treatment selection, treatment type, clinician involvement, blinding, time commitment, self-monitoring frequency, duration, 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
- Subjects :
- N of 1 trial
Adult
Male
medicine.medical_specialty
Blinding
Epidemiology
Computer science
Article
03 medical and health sciences
0302 clinical medicine
Surveys and Questionnaires
medicine
Humans
Medical physics
030212 general & internal medicine
Duration (project management)
Precision Medicine
Selection (genetic algorithm)
Aged
Discrete choice
Clinical Trials as Topic
Evidence-Based Medicine
030503 health policy & services
Age Factors
Patient Preference
Middle Aged
Patient preference
Conjoint analysis
Standard error
Cross-Sectional Studies
Logistic Models
Socioeconomic Factors
Female
Health Expenditures
0305 other medical science
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....19bd99ecc3012803469a19f9c99cd417