RecruitingNot ApplicableNCT06651606

Preventing Relapse of Problem Behavior Through Behavioral Economics: A Translational Analysis

Using Behavioral Economics to Mitigate Relapse of Problem Behavior in an Intellectual and Developmental Disabilities Population


Sponsor

Oakland University

Enrollment

24 participants

Start Date

Sep 30, 2024

Study Type

INTERVENTIONAL

Conditions

Summary

The goal of this clinical trial is to compare a novel tactic for mitigating reinstatement compared to the current standard of care approach using a translational-treatment model. The main questions it aims to answer are: 1. how well does progressive ratio training mitigate response-dependent reinstatement compared to the standard of care approach? 2. how well does progressive ratio training mitigate response-independent reinstatement compared to the standard of care approach?


Eligibility

Min Age: 6 YearsMax Age: 21 Years

Inclusion Criteria3

  • Boys and girls from ages 6 to 21
  • Engage in problem behavior
  • Diagnosis of some type of intellectual and developmental disability

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Interventions

BEHAVIORALProgressive Ratio Training (PRT)

Progressive ratio training (PRT) is used to prevent recurrence of the proxy response when extinction errors occur. PRT involves providing a reinforcer for the proxy response on a geometric progressive ratio (PR) scale. The schedule requirement will increase for the target response each time a reinforcer is delivered. For example, once a reinforcer is delivered on the PR-2 schedule, the requirement will increase to a PR-4, then to a PR-8, -16, -32, etc.

BEHAVIORALDifferential Reinforcement of Alternative (DRA) Behavior with Extinction

In DRA with extinction, the proxy for problem behavior is placed on extinction and no longer produces reinforcement. The proxy for communication behavior produces reinforcement on a fixed-ratio 1 schedule of reinforcement.


Locations(2)

Auburn University

Auburn, Alabama, United States

Oakland University

Rochester, Michigan, United States

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NCT06651606


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