title: Using EP50 to forecast treatment adherence in individuals with multiple sclerosis.
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.
authors.affiliation: Department of Applied Behavioral Science, University of Kansas, 4050 Dole Developmental Center, 1000 Sunnyside Ave., Lawrence, KS 66045, USA. Electronic address: dpj@ku.edu.
authors.forename: David P
authors.initials: DP
authors.lastname: Jarmolowicz
authors.affiliation: Department of Applied Behavioral Science, University of Kansas, 4050 Dole Developmental Center, 1000 Sunnyside Ave., Lawrence, KS 66045, USA. Electronic address: dreed@ku.edu.
authors.forename: Derek D
authors.initials: DD
authors.lastname: Reed
authors.affiliation: Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Hospital, 610 E. 22nd St., Kansas City, MO, 64108, USA. Electronic address: abruce2@kumc.edu.
authors.forename: Amanda S
authors.initials: AS
authors.lastname: Bruce
authors.affiliation: Center for Children's Healthy Lifestyles & Nutrition, Children's Mercy Hospital, 610 E. 22nd St., Kansas City, MO, 64108, USA. Electronic address: dcatley@cmh.edu.
authors.forename: Delwyn
authors.initials: D
authors.lastname: Catley
authors.affiliation: Department of Neurology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS, 66160, USA. Electronic address: slynch@kumc.edu.
authors.forename: Sharon
authors.initials: S
authors.lastname: Lynch
authors.affiliation: Health Services and Outcomes Research, Children's Mercy Hospital and Clinics, University of Missouri - Kansas City, 2401 Gillham Road 610, Kansas City, MO, 64108, USA. Electronic address: kjgoggin@cmh.edu.
authors.forename: Kathy
authors.initials: K
authors.lastname: Goggin
authors.affiliation: Department of Psychology, University of Missouri, 5030 Cherry St., Kansas City, MO 64110, USA. Electronic address: limse@umkc.edu.
authors.forename: Seung-Lark
authors.initials: SL
authors.lastname: Lim
authors.affiliation: Kessler Foundation, West Orange, NJ, 07052, USA. Electronic address: lstrober@kesslerfoudation.org.
authors.forename: Lauren
authors.initials: L
authors.lastname: Strober
authors.affiliation: Department of Psychology, University of Missouri, 5030 Cherry St., Kansas City, MO 64110, USA. Electronic address: mbg522@mail.umkc.edu.
authors.forename: Morgan
authors.initials: M
authors.lastname: Glusman
authors.affiliation: Department of Psychology, University of Missouri, 5030 Cherry St., Kansas City, MO 64110, USA. Electronic address: abigailrness@mail.umkc.edu.
authors.forename: Abigail N
authors.initials: AN
authors.lastname: Norouzinia
authors.affiliation: Department of Psychology, University of Missouri, 5030 Cherry St., Kansas City, MO 64110, USA. Electronic address: brucejm@umkc.edu.
authors.forename: Jared M
authors.initials: JM
authors.lastname: Bruce
mesh_terms: D002755:Choice Behavior; D006801:Humans; D055118:Medication Adherence / Q000523:psychology*; D015233:Models, Statistical; D009103:Multiple Sclerosis / Q000523:psychology*; D011795:Surveys and Questionnaires
keywords: EP50; Patients; Probability discounting; Treatment adherence