Probability discounting of treatment decisions in multiple sclerosis: associations with disease knowledge, neuropsychiatric status, and adherence

Psychopharmacology
Jared M BruceDavid P Jarmolowicz

Abstract

Patients weigh risks and benefits when making treatment decisions. Despite this, relatively few studies examine the behavioral patterns underpinning these decisions. Moreover, individual differences in these patterns remain largely unexplored. The purpose of this study was to test a probability discounting model to explain the independent influences of risks and benefits when patients make hypothetical treatment decisions. Furthermore, we examine how individual differences in this probability discounting function are associated with patient demographics, clinical characteristics, disease knowledge, neuropsychiatric status, and adherence. Two hundred eight participants with relapsing-remitting multiple sclerosis (MS) indicated their likelihood (0-100%) of taking a hypothetical medication as the probability of mild side effects (11 values from .1 to 99.9%) and reported medication efficacies (11 values from .1 to 99.9%) varied systematically. They also completed a series of questionnaires and cognitive tests. Individual components of medication treatment decision making were successfully described with a probability discounting model. High rates of discounting based on risks were associated with poor treatment adherence and less d...Continue Reading

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Citations

Aug 25, 2020·Zeitschrift für Gesundheitswissenschaften = Journal of public health·Mattia NeseRosita Borlimi
Jan 12, 2021·International Journal of MS Care·Anne Christin RahnUNKNOWN Rehabilitation in Multiple Sclerosis (RIMS) Special Interest Group on Patient Autonomy
Mar 12, 2021·American Journal of Hypertension·Marie Krousel-WoodRichard Petty

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