Using EP50 to forecast treatment adherence in individuals with multiple sclerosis.
Document Type
Article
Publication Date
11-1-2016
Identifier
DOI: 10.1016/j.beproc.2016.09.003
Abstract
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.
Journal Title
Behavioural processes
Volume
132
First Page
94
Last Page
99
MeSH Keywords
Choice Behavior; Humans; Medication Adherence; Models, Statistical; Multiple Sclerosis; Surveys and Questionnaires
Keywords
EP50; Patients; Probability discounting; Treatment adherence
Recommended Citation
Jarmolowicz DP, Reed DD, Bruce AS, et al. Using EP50 to forecast treatment adherence in individuals with multiple sclerosis. Behav Processes. 2016;132:94-99. doi:10.1016/j.beproc.2016.09.003
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