Literature DB >> 27702587

Using EP50 to forecast treatment adherence in individuals with multiple sclerosis.

David P Jarmolowicz1, Derek D Reed2, Amanda S Bruce3, Delwyn Catley4, Sharon Lynch5, Kathy Goggin6, Seung-Lark Lim7, Lauren Strober8, Morgan Glusman9, Abigail N Norouzinia10, Jared M Bruce11.   

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.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  EP50; Patients; Probability discounting; Treatment adherence

Mesh:

Year:  2016        PMID: 27702587     DOI: 10.1016/j.beproc.2016.09.003

Source DB:  PubMed          Journal:  Behav Processes        ISSN: 0376-6357            Impact factor:   1.777


  3 in total

1.  Applied Quantitative Analysis of Behavior: What It Is, and Why We Care-Introduction to the Special Section.

Authors:  David P Jarmolowicz; Brian D Greer; Peter R Killeen; Sally L Huskinson
Journal:  Perspect Behav Sci       Date:  2022-01-03

2.  Patient-based benefit-risk assessment of medicines: development, refinement, and validation of a content search strategy to retrieve relevant studies.

Authors:  Hiba El Masri; Treasure M McGuire; Christine Dalais; Mieke van Driel; Helen Benham; Samantha A Hollingworth
Journal:  J Med Libr Assoc       Date:  2022-04-01

3.  Behavioral economic methods to inform infectious disease response: Prevention, testing, and vaccination in the COVID-19 pandemic.

Authors:  Justin C Strickland; Derek D Reed; Steven R Hursh; Lindsay P Schwartz; Rachel N S Foster; Brett W Gelino; Robert S LeComte; Fernanda S Oda; Allyson R Salzer; Tadd D Schneider; Lauren Dayton; Carl Latkin; Matthew W Johnson
Journal:  PLoS One       Date:  2022-01-19       Impact factor: 3.240

  3 in total

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