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Related Experiment Video

Updated: Oct 27, 2025

Automated, Long-term Behavioral Assay for Cognitive Functions in Multiple Genetic Models of Alzheimer's Disease, Using IntelliCage
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Development of Automated Reinforcement Management System (ARMS): Protocol for a Phase I Feasibility and Usability

Andre Miguel1, Crystal Smith1, Nicole Perea2

  • 1Elson S Floyd College of Medicine, Washington State University, Spokane, WA, United States.

JMIR Formative Research
|July 19, 2021
PubMed
Summary

This study introduces the Automated Reinforcement Management System (ARMS), a mobile app and breathalyzer tool for remote alcohol use disorder treatment. ARMS aims to improve treatment accessibility and effectiveness, especially for those in remote areas.

Keywords:
alcohol use disordercontingency managementecological momentary assessmenttreatment

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Addiction Medicine

Background:

  • Alcohol use disorder (AUD) causes millions of deaths globally, necessitating effective and accessible treatments.
  • Contingency management (CM) is a proven, cost-effective intervention for substance use disorders.
  • Remote monitoring technologies, like mobile apps and electronic breathalyzers, offer new avenues for AUD treatment delivery.

Purpose of the Study:

  • To describe the Automated Reinforcement Management System (ARMS), an integrated platform for remote CM delivery.
  • To outline a protocol for evaluating the feasibility and usability of ARMS for AUD treatment.

Main Methods:

  • Clinician focus groups to refine ARMS for user-friendliness and clinical relevance.
  • An A-B-A within-subject design with 20 AUD patients to assess feasibility and usability.
  • Daily remote breathalyzer samples via the ARMS app, with CM contingent on alcohol-negative results during the intervention phase.

Main Results:

  • System Usability Scale (SUS) will be used to evaluate clinician and patient acceptability.
  • Feasibility will be determined by the system's ability to increase alcohol abstinence rates.
  • Study recruitment initiated in January 2021, with completion expected by December 2021.

Conclusions:

  • ARMS establishes a foundation for remotely monitored CM platforms.
  • Successful implementation of ARMS could expand effective AUD treatment to underserved populations, including those in remote rural areas.