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dc.contributor.authorExum, Alexis C.
dc.contributor.authorSutton, Cassandra A.
dc.contributor.authorBellitti, Joseph S.
dc.contributor.authorYi, Richard
dc.contributor.authorFazzino, Tera L.
dc.date.accessioned2023-05-11T15:34:58Z
dc.date.available2023-05-11T15:34:58Z
dc.date.issued2023-04-16
dc.identifier.citationAlexis C. Exum, Cassandra A. Sutton, Joseph S. Bellitti, Richard Yi, Tera L. Fazzino, Delay discounting and substance use treatment outcomes: A systematic review focused on treatment outcomes and discounting methodology, Journal of Substance Use and Addiction Treatment, Volume 149, 2023, 209037, ISSN 2949-8759, https://doi.org/10.1016/j.josat.2023.209037.en_US
dc.identifier.urihttps://hdl.handle.net/1808/34164
dc.description.abstractIntroduction Delay discounting—the tendency to choose small, immediate rewards over larger, delayed rewards—is robustly associated with substance use. Delay discounting may present challenges in treatment for substance use disorders, as individuals with elevated discounting may struggle to wait for the long-term rewards that come from abstinence, which may yield poorer treatment outcomes. However, evidence on the role of discounting in treatment outcomes has been inconsistent. The study conducted a systematic review of the literature to characterize the prospective effects of delay discounting measured pre-treatment on substance use treatment outcomes, with a focus on characterizing findings across: 1) type of treatment outcome and 2) methodology used to assess and characterize discounting.

Method A systematic literature search identified N = 17 studies that examined the association between delay discounting at treatment entry (pre-treatment) and substance use treatment outcomes. Findings were reported across the following substance use treatment outcomes: abstinence, relapse, use frequency and related problems, and treatment adherence. Findings regarding discounting methodology were reported by type of discounting measure (adjusting choice task, fixed choice task, or experiential task) and parameter used to characterize discounting (k, log transformed k (lnk), and area under the curve).

Results Delay discounting at treatment entry was not consistently associated with substance use treatment outcomes when examined across all studies overall (47 %) or by treatment outcome (0–40 % for most outcomes). The majority of studies (64 %) that used an adjusting choice, computer-based task reported a significant association between discounting and treatment outcomes, whereas few studies that used a fixed choice or experiential task reported significant associations with treatment outcomes (0–25 %). Most studies (71 %) that used the lnk parameter to characterize discounting reported significant associations between discounting and a range of treatment outcomes. In contrast, few studies that used k or AUC (25–33 %) reported significant associations between discounting and treatment outcomes.

Conclusion When examined overall and by treatment outcome, evidence did not consistently indicate that delay discounting was prospectively associated with substance use treatment outcomes. However, delay discounting at treatment entry was more commonly associated with a variety of poorer treatment outcomes when researchers used more fine-grained methods to characterize discounting.
en_US
dc.publisherElsevieren_US
dc.rights© 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.en_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0en_US
dc.subjectBehavioral economicsen_US
dc.subjectAbstinenceen_US
dc.subjectRelapseen_US
dc.subjectMonetary choice tasken_US
dc.subjectTobacco cessationen_US
dc.titleDelay discounting and substance use treatment outcomes: A systematic review focused on treatment outcomes and discounting methodologyen_US
dc.typeArticleen_US
kusw.kuauthorExum, Alexis C.
kusw.kuauthorSutton, Cassandra A.
kusw.kudepartmentPsychologyen_US
dc.identifier.doi10.1016/j.josat.2023.209037en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.
Except where otherwise noted, this item's license is described as: © 2023 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license.