A4i-O: A Platform for Complex Behavioral Health to Address OUD
App for Independence-O (A4i-O) - Expanding a Validated Platform for Complex Behavioral Health to Address Opioid Use Disorder
1 other identifier
interventional
14
1 country
1
Brief Summary
For the purposes of beta testing the first version of A4i-O, 15 individuals with OUD will use the platform for one month. From a design perspective this sample size is viewed as being sufficient to answer questions regarding app functionality and feasibility before moving to larger trials. Additionally, 15 individuals is a larger sample size than in the A4i pilot. This is an open label pilot with a primary objective of troubleshooting and providing early feedback on the beta version of the technology. To that end, 15 participants are anticipated to be sufficient to provide robust, early feedback. As with the focus groups, through sampling an effort will be made to secure a diverse group. Any individuals who might be declined in that effort at this stage (e.g., it is determined that no more male identifying participants are needed but they were interested) would be invited to take part in the subsequent RCT.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for not_applicable
Started Feb 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 12, 2023
CompletedFirst Posted
Study publicly available on registry
January 22, 2024
CompletedStudy Start
First participant enrolled
February 5, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
November 1, 2024
CompletedApril 22, 2026
February 1, 2025
7 months
December 12, 2023
April 20, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (6)
A4i-O Total Time Used
Total time spent on the A4i-O app will be measured for each participant.
1 month
A4i-O Login Frequency
Number of times participants login to the A4i-O app will be calculated.
1 month
A4i-O Nature of Use Metrics
The frequency and type of A4i-O features used by each participant will be measured.
1 month
A4i-O Feedback from Participants and Providers
The Research Personnel will contact both providers and participants to complete a brief semi-structured interview assessing strengths (generally and in clinical interactions) and limitations of A4i-O and any risks not otherwise reported or observed during study operations.
1 month
Participant Satisfaction with A4i-O
Participant satisfaction with the technology will also be examined using the 26-item Acceptability/Usability Digital Health Technology scale used by Ben-Zeev and colleagues (2). Minimum values: -1, maximum values: 1, with a higher score indicating increased satisfaction (better outcome).
1 month
Safety and Critical Incidents
Safety will be assessed through information gathered via all study-related interactions with significant safety concerns operationalized as one or more critical incidents occurring in which there is evidence of an association between the incident and A4i-O use.
1 month
Secondary Outcomes (4)
General Symptom Severity
1 month
Substance Use Dependence
1 month
Treatment Engagement
1 month
General Adherence to Treatment
1 month
Study Arms (1)
App for Independence-O (A4i-O)
EXPERIMENTALParticipants will be provided with A4i-O for one month.
Interventions
A4i-O is a digital health platform designed to support individuals with opioid use disorders. A4i-O will focus on providing education on treatment options, recovery navigation, social activation and connections to a range of resources. It aims to assist with fostering self-management and recovery through identifying risks for relapse, navigating urges/cravings, coping with shame/guilt, avoiding relapse, moving forward after relapse, and lived experiences. Daily wellness and goal attainment check-ins to highlight mental health trajectories will be prompted. With appropriate consent from both the client and provider, a provider dashboard is accessible to the client's provider prior to their appointment, generating a summary of day-to-day wellness ratings, responses to reminders, goal progressions, and other self-reported measures from the platform.
Eligibility Criteria
You may qualify if:
- Participants will be adults, 18 years of age or older, with a provider-assigned diagnosis of OUD confirmed by the SCID-5. Electronic medical records will be accessed for CAMH clients after informed consent is obtained to confirm the OUD diagnosis. For clients who were recruited externally and do not have a CAMH chart, confirmation of diagnosis will be sought from the referring clinician.
- All participants will be engaged in outpatient psychiatric treatment for OUD.
- All participants will currently be engaged in opioid agonist treatment.
- Proficiency in English via ability to understand written/verbal communication during consent process. Any RA concerns about ability to understand English will be brought to the PI for determination of next steps (see consent procedures below).
- Own and use an Android or iOS smartphone.
- All participants will be open to having their care provider participate in the study
You may not qualify if:
- Lack of capacity to consent.
- Intellectual disability.
- Experiencing distress at a level that would affect research and technology engagement (e.g., acute suicidality).
- Criteria (service providers): Service providers will be psychiatrists and case managers engaged in the care of the participants.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Centre for Addiction and Mental Health
Toronto, Ontario, M6R2C4, Canada
Related Publications (5)
Hsieh HF, Shannon SE. Three approaches to qualitative content analysis. Qual Health Res. 2005 Nov;15(9):1277-88. doi: 10.1177/1049732305276687.
PMID: 16204405BACKGROUNDBen-Zeev D, Brenner CJ, Begale M, Duffecy J, Mohr DC, Mueser KT. Feasibility, acceptability, and preliminary efficacy of a smartphone intervention for schizophrenia. Schizophr Bull. 2014 Nov;40(6):1244-53. doi: 10.1093/schbul/sbu033. Epub 2014 Mar 8.
PMID: 24609454BACKGROUNDDerogatis, L.R.(1993). BSI Brief Symptom Inventory: Administration, Scoring, and Procedure Manual (4th Ed.). Minneapolis, MN: National Computer Systems.
BACKGROUNDByerly MJ, Nakonezny PA, Rush AJ. The Brief Adherence Rating Scale (BARS) validated against electronic monitoring in assessing the antipsychotic medication adherence of outpatients with schizophrenia and schizoaffective disorder. Schizophr Res. 2008 Mar;100(1-3):60-9. doi: 10.1016/j.schres.2007.12.470. Epub 2008 Feb 5.
PMID: 18255269BACKGROUNDSherbourne CD, Hays RD, Ordway L, DiMatteo MR, Kravitz RL. Antecedents of adherence to medical recommendations: results from the Medical Outcomes Study. J Behav Med. 1992 Oct;15(5):447-68. doi: 10.1007/BF00844941.
PMID: 1447757BACKGROUND
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior Scientist
Study Record Dates
First Submitted
December 12, 2023
First Posted
January 22, 2024
Study Start
February 5, 2024
Primary Completion
August 30, 2024
Study Completion
November 1, 2024
Last Updated
April 22, 2026
Record last verified: 2025-02
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP
If the results of this study are published, participant's identity will remain confidential. It is expected that the information collected during this study will be used in analyses and published to the scientific community at meetings and in journals. With participant consent, de-identified data from this study may be shared with the research community at large to advance science and health. The investigators will remove or code any personal information that could identify participants before files are shared with other researchers to ensure that by current scientific standards and known methods, no one will be able to identify participants from the information the investigators share.