# Project Motivate: A digital motivation and prediction platform to improve treatment retention and reduce relapse in opioid use disorder

> **NIH NIH R43** · BIOMOTIVATE, LLC · 2021 · $55,000

## Abstract

PROJECT SUMMARY/ABSTRACT
The opioid crisis is the deadliest drug epidemic in American history and new approaches are
needed. One novel approach includes predicting likelihood of opioid use disorder (OUD)
treatment retention by assessing someone’s risk of early departure from treatment. Current
methods to improve treatment retention rely on providers using their intuition to identify when an
individual is at risk of leaving treatment early in order to intervene, which often happens too late.
Mobile health and machine learning predictive analytics offer a new opportunity to personalize
OUD treatment, improve retention in OUD care, and mitigate the risk of relapse and overdose
episodes. Project Motivate will combine physiological and behavioral data from disparate
sources in order to predict when an individual is at risk of early departure from OUD treatment.
This data will be displayed in a user-friendly manner so that providers can more effectively
support patients to remain in treatment with timely intervention and responses.

## Key facts

- **NIH application ID:** 10339079
- **Project number:** 3R43DA051279-01S1
- **Recipient organization:** BIOMOTIVATE, LLC
- **Principal Investigator:** Jeremy Guttman
- **Activity code:** R43 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $55,000
- **Award type:** 3
- **Project period:** 2021-05-24 → 2022-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10339079

## Citation

> US National Institutes of Health, RePORTER application 10339079, Project Motivate: A digital motivation and prediction platform to improve treatment retention and reduce relapse in opioid use disorder (3R43DA051279-01S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10339079. Licensed CC0.

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