Personal preferences for Personalised Trials among patients with chronic diseases: an empirical Bayesian analysis of a conjoint survey.

BMJ Open
Ying Kuen CheungNathalie Moise

Abstract

To describe individual patient preferences for Personalised Trials and to identify factors and conditions associated with patient preferences. Each participant was presented with 18 conjoint questions via an online survey. Each question provided two choices of Personalised Trials that were defined by up to eight attributes, including treatment types, clinician involvement, study logistics and trial burden on a patient. Online survey of adults with at least two common chronic conditions in the USA. A nationally representative sample of 501 individuals were recruited from the Chronic Illness Panel by Harris Poll Online. Participants were recruited from several sources, including emails, social media and telephone recruitment of the target population. The choice of Personalised Trial design that the participant preferred with each conjoint question. There was large variability in participants' preferences for the design of Personalised Trials. On average, they preferred certain attributes, such as a short time commitment and no cost. Notably, a population-level analysis correctly predicted 62% of the conjoint responses. An empirical Bayesian analysis of the conjoint data, which supported the estimation of individual-level preferen...Continue Reading

Citations

Oct 2, 2020·Journal of Clinical Epidemiology·José A Sacristán, J André Knottnerus

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Sawtooth Choice - Based Conjoint

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