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Trial registered on ANZCTR
Registration number
ACTRN12626000938303
Ethics application status
Approved
Date submitted
29/06/2026
Date registered
29/07/2026
Date last updated
29/07/2026
Date data sharing statement initially provided
29/07/2026
Type of registration
Prospectively registered
Titles & IDs
Public title
Supporting Mental Health in Regional and Rural Communities: Developing and Testing SOLAR-R apps
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Scientific title
A randomised controlled trial of an AI-enhanced, skills-based psychosocial app for posttraumatic stress symptoms in regional and rural Australia
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Additional trial identifiers [1]
317733
0
Nil
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Universal Trial Number (UTN)
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Trial acronym
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Related trial records
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Health condition
Health condition(s) studied:
Posttraumatic stress symptoms
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Depression symptoms
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Anxiety symptoms
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Quality of life
342623
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Condition category
Condition code
Mental Health
338771
338771
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0
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Other mental health disorders
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Mental Health
338772
338772
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0
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Depression
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Mental Health
338773
338773
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0
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Anxiety
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Intervention/exposure
Study type
Interventional
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Description of the intervention or exposure
SOLAR-R+ is a digital adaptation of the Skills fOr Life Adjustment and Resilience (SOLAR) program, tailored for adults living in regional, rural, and remote Australian communities. The program is a brief, trauma-focused, skills-based, psychosocial intervention. Participants gain access to the app by scanning a QR code provided on study recruitment materials, which directs them to download the application to a compatible iOS or Android smartphone.
The program comprises eight modules which are completed during the five-week intervention period. Content includes psychoeducation, skills training, values-based goal setting, emotion regulation strategies, strengthening social connections, managing unhelpful thinking patterns, and planning for continued recovery. Participants are encouraged to apply these skills in their daily lives between modules. The content is delivered through interactive activities, self-reflection exercises, text-based content, audio content, animations, progress-tracking features, and automated notifications. Program content is based on the established SOLAR intervention, while the app design and user experience have been specifically developed and tailored for adults living in regional, rural, and remote Australian communities. Adherence is monitored through module completion rates.
In addition to the standard SOLAR module content, SOLAR-R+ incorporates a generative artificial intelligence (AI) assistant embedded within the app. The AI assistant interacts with participants through a text-based chat interface. Participants can access the AI assistant through a dedicated chat function available from the app home screen to ask general questions about SOLAR content and activities. The AI assistant is also integrated within every module, where it offers support with module activities. The AI assistant is designed to enhance engagement with the program by providing tailored responses based on participant inputs, supporting goal setting and problem solving, facilitating skills practice, and assisting users to navigate app content and activities. Generated responses are grounded in SOLAR program content through retrieval-augmented generation methods.
The AI assistant does not provide clinical care and is intended to support participant engagement with, and application of, SOLAR program content.
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Intervention code [1]
334569
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Lifestyle
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Intervention code [2]
334570
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Behaviour
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Intervention code [3]
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Treatment: Other
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Description of the comparator or control
Participants randomised to the control condition will receive access to SOLAR-R, a non-AI-enhanced version of the intervention app. SOLAR-R contains the same eight modules, educational content, interactive activities, videos, animations, and automated notifications as SOLAR-R+ and is completed over a five-week period. The app is visually and functionally equivalent to the intervention version, with the only substantive difference being the absence of the embedded generative AI assistant.
Participants allocated to the control group will not be provided access to the AI assistant following study completion. Access to the study apps will cease for all participants at the end of the trial. Decisions regarding any future access to the apps will be considered following publication of the trial results.
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Control group
Active
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Outcomes
Primary outcome [1]
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Symptoms of posttraumatic stress
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Assessment method [1]
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PTSD Checklist for DSM-5 (PCL-5)
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Timepoint [1]
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Baseline (0 weeks), end-of-treatment (7 weeks), and follow up (19 weeks).
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Secondary outcome [1]
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Symptoms of depression
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Assessment method [1]
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Patient Health Questionnaire-9 (PHQ-9)
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Timepoint [1]
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Baseline (0 weeks), end-of-treatment (7 weeks), and follow up (19 weeks).
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Secondary outcome [2]
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Symptoms of anxiety
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Assessment method [2]
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Generalized Anxiety Disorder scale (GAD-7)
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Timepoint [2]
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Baseline (0 weeks), end-of-treatment (7 weeks), and follow up (19 weeks).
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Secondary outcome [3]
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Quality of life
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Assessment method [3]
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Recovering Quality of Life scale (ReQoL-10)
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Timepoint [3]
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Baseline (0 weeks), end-of-treatment (7 weeks), and follow up (19 weeks).
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Secondary outcome [4]
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Subjective app engagement
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Assessment method [4]
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Digital Behaviour Change Intervention Engagement Scale (DBCI)
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Timepoint [4]
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End-of-treatment (7 weeks) and follow up (19 weeks).
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Secondary outcome [5]
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Health services usage
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Assessment method [5]
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Two self-report items asking participants to report their total number of contacts with health services over the past 3 months for mental and physical health issues.
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Timepoint [5]
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Baseline (0 weeks) and follow up (19 weeks).
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Secondary outcome [6]
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Perceived usefulness - User experience of AI-assistant (SOLAR-R+ intervention arm only)
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Assessment method [6]
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Trial-specific self-report items
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Timepoint [6]
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End-of-treatment (7 weeks)
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Secondary outcome [7]
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Social presence - User experience of AI-assistant (SOLAR-R+ intervention arm only)
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Assessment method [7]
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Trial-specific self-report items
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Timepoint [7]
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End-of-treatment (7 weeks)
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Secondary outcome [8]
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Perceived ease of use - User experience of AI-assistant (SOLAR-R+ intervention arm only)
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Assessment method [8]
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Trial-specific self-report items
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Timepoint [8]
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End-of-treatment (7 weeks)
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Secondary outcome [9]
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User experience and control - User experience of AI-assistant (SOLAR-R+ intervention arm only)
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Assessment method [9]
465347
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Trial-specific self-report items
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Timepoint [9]
465347
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End-of-treatment (7 weeks)
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Secondary outcome [10]
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Frequency of app use - Objective app engagement
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Assessment method [10]
465348
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App usage data collected passively within the intervention and control apps
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Timepoint [10]
465348
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Continuously throughout trial period: From baseline (0 weeks) through to follow up (19 weeks)
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Secondary outcome [11]
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Number of modules completed - Objective app engagement
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Assessment method [11]
465349
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App usage data collected passively within the intervention and control apps
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Timepoint [11]
465349
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Continuously throughout trial period: From baseline (0 weeks) through to follow up (19 weeks)
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Secondary outcome [12]
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Time spent engaging with intervention component - Objective app engagement
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Assessment method [12]
465350
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App usage data collected passively within the intervention and control apps
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Timepoint [12]
465350
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Continuously throughout trial period: From baseline (0 weeks) through to follow up (19 weeks)
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Eligibility
Key inclusion criteria
1) Aged 18 years or older
2) Lives or works in a regional, rural, or remote Australian community, or has strong family, community, or personal ties to one
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Minimum age
18
Years
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Maximum age
No limit
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Sex
Both males and females
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Healthy volunteers
Yes
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Key exclusion criteria
No exclusion criteria other than failure to meet the inclusion criteria
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Study design
Purpose of the study
Treatment
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Allocation to intervention
Randomised controlled trial
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Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Participants complete eligibility screening and the baseline survey within the app. Following completion, allocation is implemented automatically within the study app and concealed from participants, investigators, and data analysts throughout the study.
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Methods used to generate the sequence in which subjects will be randomised (sequence generation)
A computer-generated randomisation sequence will be prepared by an independent statistician.
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Masking / blinding
Blinded (masking used)
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Who is / are masked / blinded?
The people receiving the treatment/s
The people assessing the outcomes
The people analysing the results/data
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Intervention assignment
Parallel
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Other design features
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Phase
Not Applicable
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Type of endpoint/s
Efficacy
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Statistical methods / analysis
Sample size was determined using a Monte Carlo simulation–based power analysis under an ANCOVA framework. Assuming a small treatment effect (Cohen’s d = 0.20), a baseline–post correlation of 0.65, and 20% attrition at end-of-treatment (primary endpoint), approximately 550–600 participants are required to achieve 80% power at a two-sided alpha of 0.05. To account for uncertainty in assumptions, the target recruitment has been set at 650 participants.
An adaptive sample size re-estimation will be conducted when approximately 50% of participants have reached the primary endpoint. This blinded interim analysis will estimate nuisance parameters, including outcome variance, attrition rates, and the baseline–post correlation. No interim testing of treatment efficacy will be conducted. Based on these estimates, the final sample size may be adjusted up to a pre-specified maximum of 1000 participants.
All demographic data and baseline participant characteristics will be summarised using descriptive statistics (i.e., n, %, chi-square test of independence for all categorical variables; mean or median, standard deviation and t-test for independence for all continuous variables) for the ITT and per protocol, by treatment arm and overall.
The primary outcome will be the between-group difference in symptoms of posttraumatic stress disorder (PCL-5) at end-of-treatment. A linear multilevel regression model will be used with fixed effects for treatment allocation (SOLAR-R vs SOLAR-R+) and time, as well as a treatment arm allocation*time interaction. Baseline symptoms of posttraumatic stress symptoms and sex assigned at birth will be included as covariates. A random intercept will be included in the model to account for variance at the individual participant level. The analysis will be conducted on the ITT population. Superiority of SOLAR-R+ will be declared if the two-sided 95% confidence interval for the adjusted mean difference excludes 0 in favour of SOLAR-R+.
Secondary outcomes will also be evaluated in a similar fashion using linear multilevel regression models or generalised linear mixed models depending on the distribution of the outcome variables. Exploratory subgroup analyses may be conducted to examine the differential effects of the intervention among participants presenting with elevated symptoms of PTSD, depression, or anxiety at baseline.
Appropriate transformations may be applied to outcome variables before fitting the model if considered skewed.
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Recruitment
Recruitment status
Not yet recruiting
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Date of first participant enrolment
Anticipated
15/08/2026
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Actual
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Date of last participant enrolment
Anticipated
31/08/2027
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Actual
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Date of last data collection
Anticipated
31/12/2027
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Actual
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Sample size
Target
650
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Accrual to date
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Final
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Recruitment in Australia
Recruitment state(s)
ACT,NSW,NT,QLD,SA,TAS,WA,VIC
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Funding & Sponsors
Funding source category [1]
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Commercial sector/Industry
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Name [1]
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The Latrobe Health Services Foundation
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Address [1]
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Country [1]
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Australia
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Primary sponsor type
University
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Name
Phoenix Australia – Centre for Posttraumatic Mental Health
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Address
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Country
Australia
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Secondary sponsor category [1]
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None
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Name [1]
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Address [1]
325189
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Country [1]
325189
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Ethics approval
Ethics application status
Approved
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Ethics committee name [1]
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University of Melbourne Central Human Research Ethics Committee
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Ethics committee address [1]
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Research Integrity Administrator, Office of Research Ethics and Integrity. Level 5, 161 Barry Street, The University of Melbourne VIC 3010
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Ethics committee country [1]
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Australia
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Date submitted for ethics approval [1]
320791
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23/01/2026
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Approval date [1]
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23/04/2026
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Ethics approval number [1]
320791
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2026-34301-79663-4
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Summary
Brief summary
This triple-blind randomised controlled trial will compare an AI-enhanced mental health app (SOLAR-R+) with an otherwise identical version without AI enhancement (SOLAR-R). We will recruit 650 adults aged 18 years and older who live or work in regional, rural, or remote Australian communities, or who have strong family, personal, or community ties to one. Both apps are adapted from the Skills fOr Life Adjustment and Resilience (SOLAR) program and deliver evidence-based psychosocial skills designed to support recovery and wellbeing following stress or trauma. The study will examine whether the addition of an embedded AI assistant improves symptoms of posttraumatic stress, depression, and anxiety, as well as quality of life, user engagement, and health service utilisation compared with a standard, non-AI-enhanced version of the same app. Participants will complete self-report measures at baseline, end-of-treatment (7 weeks), and 3-month follow-up (19 weeks).
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Trial website
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Trial related presentations / publications
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Public notes
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Contacts
Principal investigator
Name
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Prof Meaghan O'Donnell
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Address
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Phoenix Australia - Centre for Posttraumatic Mental Health, Department of Psychiatry, University of Melbourne, 3/161 Barry St, Carlton VIC 3053
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Country
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Australia
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Phone
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+61 3 9035 5599
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Fax
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Email
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[email protected]
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Contact person for public queries
Name
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Abdullah Arjmand
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Address
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Phoenix Australia - Centre for Posttraumatic Mental Health, Department of Psychiatry, University of Melbourne, 3/161 Barry St, Carlton VIC 3053
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Country
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Australia
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Phone
151643
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+61 3 9035 5599
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Fax
151643
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Email
151643
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[email protected]
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Contact person for scientific queries
Name
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Meaghan O'Donnell
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Address
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Phoenix Australia - Centre for Posttraumatic Mental Health, Department of Psychiatry, University of Melbourne, 3/161 Barry St, Carlton VIC 3053
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Country
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Australia
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Phone
151644
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+61 3 9035 5599
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Fax
151644
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Email
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[email protected]
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Data sharing statement
Will the study consider sharing individual participant data?
No
No IPD sharing reason/comment:
No open IPD sharing is planned, however deidentified data that support the published findings may be made available upon direct request to the study team
What supporting documents are/will be available?
No Supporting Document Provided
Results publications and other study-related documents
Documents added manually
No documents have been uploaded by study researchers.
Documents added automatically
No additional documents have been identified.
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