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Gepubliceerd in: Research on Child and Adolescent Psychopathology 5/2020

25-01-2020

Modeling Treatment-Related Decision-Making Using Applied Behavioral Economics: Caregiver Perspectives in Temporally-Extended Behavioral Treatments

Auteurs: Shawn P. Gilroy, Brent A. Kaplan

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 5/2020

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Abstract

Evidence-based behavioral therapies for children with disruptive and challenging behavior rarely yield immediate improvements in behavior. For caregivers participating in behavioral therapies, the benefits from these efforts are seldom visible until after substantial time commitments. Delays associated with relief from challenging behavior (i.e., improved behavior) can influence how caregivers decide to respond to instances of problem behavior, and in turn, their continued commitment (i.e., integrity, adherence) to treatments that require long-term implementation to produce improvements in child behavior. This study applied delay discounting methods to evaluate how delays affected caregiver preferences related to options for managing their child’s behavior. Specifically, methods were designed to evaluate the degree to which caregiver preferences for a more efficacious, recommended approach was affected by delays (i.e., numbers of weeks in treatment). That is, methods evaluated at which point caregivers opted to disregard the optimal, delayed strategy and instead elected to pursue suboptimal, immediate strategies. Results indicated that caregivers regularly discounted the value of the more efficacious treatment, electing to pursue suboptimal approaches when delays associated with the optimal approach grew larger. Caregivers demonstrated similar patterns of suboptimal choice across both clinical (i.e., intervention) and non-clinical (i.e., monetary) types of decisions. These findings are consistent with research that has highlighted temporal preferences as an individual factor that may be relevant to caregiver adherence to long-term evidence-based treatments and encourage the incorporation of behavioral economic methods to better understand caregiver decision-making.
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Voetnoten
1
We make note that behavioral economics draws from various areas of behavioral science, e.g. neuroscience, cognitive science, behavior analysis. While we discuss behavioral economics broadly here, the methodology used here most directly relates to operant behavioral economics and the experimental delay discounting framework.
 
2
All elements of this study (e.g., data) and materials necessary to recreate these findings (e.g., statistical scripts, figure rendering) are included as supplemental materials as well as archived on the corresponding author’s GitHub account under the repository “Caregiver-Delay-Discounting” at https://​github.​com/​miyamot0/​Caregiver-Delay-Discounting.
 
3
We note here that HITs were published to the MTurk framework until the recommended number of caregivers meeting all criteria for use in the statistical analysis was reached (n = 61).
 
4
The demographics, data, and results for both the screened and total example are available as supplemental materials.
 
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Metagegevens
Titel
Modeling Treatment-Related Decision-Making Using Applied Behavioral Economics: Caregiver Perspectives in Temporally-Extended Behavioral Treatments
Auteurs
Shawn P. Gilroy
Brent A. Kaplan
Publicatiedatum
25-01-2020
Uitgeverij
Springer US
Gepubliceerd in
Research on Child and Adolescent Psychopathology / Uitgave 5/2020
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI
https://doi.org/10.1007/s10802-020-00619-6

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