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

Ying-Kuen CheungDallas WoodKangkang ZhangTy A RidenourLilly DerbyTara St OngeNaihua DuanJoan Duer-HefeleKarina W DavidsonIan M KronishNathalie Moise
Published in: BMJ open (2020)
These analyses provide a framework for elucidating individual-level preferences when implementing novel patient-centred interventions. The data showed that patient preference in Personalised Trials is highly variable, suggesting that individual differences must be accounted for when marketing Personalised Trials. These results have implications for advancing precise interventions in Personalised Trials by indicating when rigorous scientific principles, such as frequent monitoring, is feasible in a substantial subset of patients.
Keyphrases
  • end stage renal disease
  • case report
  • physical activity
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • machine learning
  • big data
  • patient reported