Home » Trials » SLCTR/2026/018
(APPL/2026/006) Digital Therapeutics for Addiction Management: Development and Evaluation of the Effectiveness of a Virtual Reality and AI-Driven Intervention for Substance Use Disorders in Galle District, Sri Lanka
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SLCTR Registration Number
SLCTR/2026/018
Date of Registration
The date of last modification
Jul 18, 2026
Scientific Title of Trial
(APPL/2026/006) Digital Therapeutics for Addiction Management: Development and Evaluation of the Effectiveness of a Virtual Reality and AI-Driven Intervention for Substance Use Disorders in Galle District, Sri Lanka
Public Title of Trial
Effectiveness of an AI-driven virtual reality digital intervention plus standard care versus standard care alone for Substance Use Disorders in Galle District, Sri Lanka
Disease or Health Condition(s) Studied
Substance Use Disorders
Scientific Acronym
None
Public Acronym
None
Brief title
None
Universal Trial Number
U1111-1335-7820
Any other number(s) assigned to the trial and issuing authority
2025/P/019: Ethics Review Committee of the Faculty of Medicine, University of Ruhuna
What is the research question being addressed?
What is the effectiveness of an additional evidence based digital intervention compared to standard care alone in reducing the severity of substance use disorders, enhancing readiness to change and reducing relapse rates among individuals receiving addiction treatment in Galle District, Sri Lanka?
Type of study
Interventional
Study design
Allocation
Randomized controlled trial
Masking
Single blinded : Outcome assessors
Control
Standard therapy/practice
Assignment
Parallel
Purpose
Supportive care
Study Phase
Not Applicable
Intervention(s) planned
The intervention is a digital therapeutic program combining AI-driven personalized modules, virtual reality (VR)-based simulations, and telehealth support, delivered in addition to standard care for substance use disorders.
National Hospital Galle (Intervention arm) Thalapitiya Substance Clinic, Galle (Control arm) Pilot study: District Hospital Unawatuna
Study design: Non-randomized controlled trial Assignment: Parallel design Allocation: Based on treatment site (intervention vs control clinic) Blinding: Single-blinded (outcome assessor)
The intervention will be delivered via a mobile-based application platform over a 1-month period.
Frequency: Minimum 3 sessions per week Duration per session: Approximately 10–20 minutes
Components:
a) AI-driven personalized modules
Users input craving level (1–5), emotional state, and context
A rule-based AI system provides real-time coping strategies (e.g., breathing exercises, distraction techniques) Time-based prompts are used during high-risk periods
b) Virtual Reality (VR) modules
Smartphone-compatible VR simulations Includes: Craving management scenarios (trigger exposure) Stress reduction modules (guided relaxation, nature scenes)
c) Telehealth integration
Telephone-based counselling Counselors receive summary engagement data to tailor support
The intervention was developed based on findings from Phase 1, including user literacy, internet access, readiness to change, and identified craving triggers. Control group (standard care): Participants in the control group will receive standard therapy/practice, which includes:
Routine clinical follow-up Pharmacological treatment (if indicated) Psychological counselling
Intervention in relation to standard therapy: The intervention is provided in addition to standard care, not as a replacement.
Blinding: Outcome assessment will be conducted by an investigator who is blinded to group allocation. Participants and intervention providers will not be blinded due to the nature of the intervention.
Inclusion criteria
Participants will be defined as individuals diagnosed with Substance Use Disorder according to DSM-5 criteria, confirmed by a qualified psychiatrist.
All participants will be assessed at recruitment to ensure they meet diagnostic criteria.
Exclusion criteria
1.Individuals with severe comorbid medical conditions that may interfere with treatment or data collection
2.Individuals with severe comorbid psychiatric conditions that may interfere with treatment or data collection. (e.g., psychosis, severe depression with suicidality) and severe medical illnesses as identified by a consultant psychiatrist.
3.Individuals who are unable or unwilling to comply with the study protocols, including those who do not complete the required assessments or follow-ups
4.Individuals with significant cognitive impairments that prevent them from understanding the study procedures or providing informed consent. Cognitive impairment will be identified through clinical assessment with use of brief tools such as MMSE where necessary.
5.Persons who have undergone other forms of intervention for substance use within the six months prior to the study
6.Individuals without access to required technology and who lack the digital literacy to participate
Primary outcome(s)
|
1.
Relapse Rate: Incidence of relapse as measured by (1) Self-reported substance use (2) Clinical follow-up records from the outpatient clinic (3) App based relapse reporting |
[ Relapse rate at 3 and 6 months ] |
Secondary outcome(s)
|
1.
Readiness to Change: Assessed through the DUDIT-E questionnaire Changes in readiness stages will be evaluated using pre-post comparisons. [At baseline, 3 and 6 month] |
[ At 3 and 6 months from recruitment ] |
|
2.
Engagement with Intervention: Frequency and duration of interactions with the AI-driven modules and VR simulations will be tracked via the app using number of logins, module completion rates, and time spent on the application (minutes per week). Higher engagement rates will be correlated with better addiction management outcomes. |
[ At 3 and 6 months from recruitment ] |
Target number/sample size
100 (50 in each arm)
Countries of recruitment
Sri Lanka
Anticipated start date
2026-09-25
Anticipated end date
2028-12-27
Date of first enrollment
Date of study completion
Recruitment status
Pending
Funding source
None
Regulatory approvals
NA
Status
Approved
Date of Approval
2025-11-10
Approval number
2025/P/019
Details of Ethics Review Committee
| Name: | Ethics Review Committee of the Faculty of Medicine, University of Ruhuna |
| Institutional Address: | Faculty of Medicine University of Ruhuna Karapitiya Galle |
| Telephone: | Office: 0912232288 Ext: 161 |
| Email: | ethics@med.ruh.ac.lk |
Contact person for Scientific Queries/Principal Investigator
Manikku Patabandige Sudarshani
Acting consultant psychiatrist
National Hospital Galle
±94718762987
±94718762987
sudarshanipatabandige@gmail.com
Contact Person for Public Queries
Manikku Patabandige Sudarshani
Acting consultant psychiatrist
National Hospital Galle
±94718762987
±94718762987
sudarshanipatabandige@gmail.com
Primary study sponsor/organization
Faculty of Medicine, University of Ruhuna
PO Box 70,
Galle,
Sri Lanka.
ethics@med.ruh.ac.lk
Do the investigators plan to share identified individual clinical trial participant-level data (IPD)?
Yes
IPD sharing plan description
Available data include Individual participant data that underlie the results reported in the publication, including data from questionnaires (e.g., DUDIT-E), relapse outcomes, and engagement metrics, after de-identification. Other documents: study protocol, statistical analysis plan, data dictionary. The data will be available from 3 months after first publication and up to completion of 5 years after first publication. Data will be shared with researchers who provide a methodologically sound proposal, subject to approval by the principal investigator and/or an independent review committee. ?To achieve the aims outlined in an approved proposal ?For secondary analyses related to substance use disorders ?For individual participant data meta-analyses Proposals should be directed to: sudarshanipatabandige@gmail.com To gain access, requestors must submit a proposal and sign a data access agreement. Data will be shared securely via Institutional repository / encrypted file transfer
Study protocol available
Yes
Protocol version and date
Version 2
Protocol URL
Results summary available
No
Date of posting results
Date of study completion
Final sample size
Date of first publication
Link to results
Brief summary of results