Using EP50 to forecast treatment adherence in individuals with multiple sclerosis

作者：Jarmolowicz David P^*; Reed Derek D; Bruce Amanda S; Catley Delwyn; Lynch Sharon; Goggin Kathy; Lim Seung Lark; Strober Lauren; Glusman Morgan; Norouzinia Abigail N; Bruce Jared M

来源：Behavioural Processes, 2016, 132: 94-99.

DOI：10.1016/j.beproc.2016.09.003

• EP50
• Probability discounting
• Treatment adherence
• Patients

Much like delay discounting, probability discounting may be related to a host of pro-health behaviors. In a recent report, a Medical Decision Making Questionnaire (MDMQ) was developed that leveraged this insights of probability discounting to both describe ways that multiple sclerosis (MS) patients weigh costs and benefits when making adherence choices, and predicted their self -reported treatment adherence. The current re-analysis of those data use a novel EP50 measure as a framework of a model that predicted the cost/benefit ratios necessary for the choices of typically non-adherent patients to become indistinguishable from those of typically adherent patients (and vice versa). These analytic tools may aid in the development/evaluation of both novel therapeutics and treatment adherence strategies for chronic conditions.

• 出版日期2016-11