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

August 15, 2025 updated by: Oakland University

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

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?

Study Overview

Detailed Description

Behavioral treatments can be an effective means to treat problem behavior. One of the most common behavioral treatments is differential reinforcement of alternative behavior, frequently implemented as functional communication training. Most demonstrations of behavioral treatments, including functional communication training, are conducted in highly controlled settings by trained therapists. When these treatments are implemented in community settings (e.g., an individual's home) by caregivers, they will be challenged, which can lead to the recurrence and sustained relapse of problem behavior. Recurrence and relapse can be the first step in a chain that leads to treatment failure. Fortunately, some tactics have been designed to sustain treatment effectiveness and mitigate two forms of relapse (i.e., resurgence and renewal) that result from two of three primary treatment challenges. These tactics function as inoculation (i.e., make problem behavior less likely to return). However, there are no tactics designed to specifically mitigate a third form of relapse: reinstatement

This project involves a novel inoculation tactic to mitigate reinstatement and protect against the third common treatment challenge: extinction errors. The tactic in question is based on substantial conceptual and empirical evidence from behavioral economics, as well as the investigators' pilot work. The project uses an innovative translational-treatment model to better understand which of the proposed tactics (our novel tactic or the default standard-of-care approach) better inoculates against extinction errors through real-world analogues. The use of a translational-treatment model is consistent with other research examining the role of basic processes in behavioral treatment when collateral effects are unknown, and will also engender a thorough examination of the proposed tactics.

In Aim 1, investigators will establish a proxy response, apply treatment to that proxy response, and examine the effectiveness of progressive ratio training in inoculating against extinction errors and mitigating response-dependent reinstatement.

In Aim 2, investigators will establish a proxy response, apply treatment to that proxy response, and examine the effectiveness of progressive ratio training in inoculating against extinction errors and mitigating response-independent reinstatement. Outcomes of this research could improve the current standard of care for behavioral treatments to make them more effective in community application, result in the development and validation of novel inoculation tactics, and significantly improve the lives of individuals with IDD.

Study Type

Interventional

Enrollment (Estimated)

24

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Alabama
      • Auburn, Alabama, United States, 36849
        • Recruiting
        • Auburn University
        • Contact:
        • Principal Investigator:
          • John M Falligant, PhD
    • Michigan
      • Rochester, Michigan, United States, 48309
        • Recruiting
        • Oakland University
        • Contact:
        • Principal Investigator:
          • Michael P Kranak, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

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

Exclusion Criteria:

  • Not meeting the inclusion criteria

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Progressive Ratio Training

Participants in the progressive ratio training Arm will experience the novel reinstatement-mitigation tactic: Progressive 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.

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.

Experimental: Standard of Care

Participants in the standard of care Arm will receive an analogue to the standard of care approach for problem behavior: differential reinforcement of alternative behavior (DRA) with extinction.

In DRA with extinction, the proxy for problem behavior will cease to produce reinforcement while the proxy for communication behavior will produce reinforcement on a fixed-ratio 1 schedule of reinforcement.

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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Treatment Effectiveness
Time Frame: 2 years
The number of individuals for whom treatment remains effective (either progressive ratio training or current standard-of-care), which investigators will determine by comparing the mean rate of responding in baseline and subsequent conditions (Treatment and Reinstatement Tests 1 and 2). If investigators find at least an 80% reduction in target behavior in a condition (a standard clinical target for problem behavior), they will conclude that the treatment is effective (or remains effective).
2 years

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Proportional and Comparative Effectiveness
Time Frame: 2 years
The proportional and comparative effectiveness of the treatments, which investigators will determine from the mean rate of behavior in Phase 2 Treatment and the treatments during Phase 3 Reinstatement Tests (with progressive-ratio training and the standard-of-care approach), and determine the difference in percent reduction between treatment and the reinstatement tests. This second measure is preliminary: no pilot data speak to what may be observed. However, these data are likely to be important to future research.
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Michael P Kranak, PhD, Oakland University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 30, 2024

Primary Completion (Estimated)

March 10, 2026

Study Completion (Estimated)

September 10, 2026

Study Registration Dates

First Submitted

October 18, 2024

First Submitted That Met QC Criteria

October 18, 2024

First Posted (Actual)

October 22, 2024

Study Record Updates

Last Update Posted (Actual)

August 21, 2025

Last Update Submitted That Met QC Criteria

August 15, 2025

Last Verified

August 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 1R21HD113794-01A1 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

The investigators plan to share outcome data as specified in the approved Data Management and Sharing Plan.

IPD Sharing Time Frame

Data will become available at the completion of the study as specified in the approved Data Management and Sharing Plan.

IPD Sharing Access Criteria

Data will be accessible as specified in the approved Data Management and Sharing Plan.

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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