SBIR/STTR Research Award
Demonstration of a Digital Care Program for Methamphetamine Use Disorder
Award amount
$309,360Program and phase
SBIR · Phase IAward year
2021Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- AFFECT THERAPEUTICS, INC.
- Proposal award date
- 2021-09-30
- Contract end date
- 2022-09-29
- UEI
- DBZDN1DH5K35
- Solicitation number
- PA20-262
- Topic code
- NIDA
Research abstract
Project Summary / Abstract
This application responds to PA 20-262 for Small Business Innovation Research, Phase I, addressing SBA-
approved NIDA-specified Area 2, Topic D: “Digital health therapeutics (e.g., Software as Medical Device,
Software in Medical Device) focused on behavioral health interventions to alleviate the burden of SUD.” The
applicants (Affect Technologies, Inc.), propose to examine and confirm the technical merit and real-world
feasibility of the Affect app as the core component of the Affect digital care program for treatment of
methamphetamine use disorder (MUD). The project includes a clinical trial that will assemble data on the
functionality of the app in engaging patients and delivering treatment components and services, using
outputs to guide rapid refinements of the app’s functions (e.g., active and passive data collection, patient
inference engine, triggers for clinician actions, and user interfaces). The project will analyze these and other
aspects of the app to characterize their relationships with patient engagement, participation, and retention.
Quantitative data on app feasibility/usability will include app usage statistics, and data on program impacts
on outcomes will consist of results of saliva drug tests of individuals with MUD as participants in the Phase I
research (N=90). Qualitative data on the clinical utility (acceptability and satisfaction) of the Affect app and
program will be collected via all-virtual focus groups and app-enabled rating scales and questionnaires
eliciting feedback from participants, clinicians, and stakeholders. Results will determine technical
merit/feasibility and will inform refinements to the app and program correlated with outcomes, including
methamphetamine use. Specific aims are to: Aim 1. Confirm the technical merit and feasibility of the Affect
app and its delivery of the Affect digital care program in real-world practice based on results from the clinical
trial; Aim 2. Identify components of the Affect app and the Affect digital care program that correlate with
patient engagement, participation, retention, and changes in methamphetamine use; and Aim 3. Use results
to iteratively refine the Affect app and care program to improve treatment of MUD toward substantiating
commercialization. Demonstrating the clinical utility of the Affect digital care platform leading to better
patient outcomes could improve clinical care for the 1.6 million people in the nation who need treatment for
MUD, and it would increase access to serve the million users who never receive treatment. If shown to be
feasible and effective in retaining participants in treatment, the Affect app will be an important element in
efficiently achieving optimum patient outcomes at reasonable cost.Project Narrative
Demonstrating the technical merit/feasibility of the Affect app in delivering digital care for
methamphetamine use disorder (MUD) would potentially improve clinical care for the 1.6 million
people in the nation who need treatment for MUD. If shown to be clinically useful, well-received
by patients, and effective in retaining participants in the care program, the Affect app will be an
important element in efficiently achieving optimum patient outcomes at reasonable cost.
Resulting knowledge will be useful to clinicians, technology developers, and researchers when
disseminated in publications, offering new insights into innovative means to help individuals with
MUD reduce methamphetamine use and succeed in recovery.
Technology keywords
Not reported
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- Wearable Wireless Respiratory Monitoring System that Detects and Predicts Opioid Induced Respiratory Depression
- Building and testing the Life Enhancement and Advocacy Programming digital training tool (LEAPLink) to better serve people with lived experience of homelessness and substance use disorder
- A digital intervention to decrease self-stigma among pregnant and postpartum women with opioid use disorder
- Development of medication for the treatment of respiratory depression due to opioid (prescribed or illicit) overdose/multidrug (polysubstance) overdose in a hospital or community setting.
- Creation and Validation of the Dose-Opioid-Source Evaluation tool (DOSE) - a Robust Opioid Use Clinical Outcome Assessment for Qualification as an FDA Medical Device Development Tool (MDDT)