NCT07436117

Brief Summary

This study will examine whether an artificial intelligence (AI) avatar-led mental health programme can help employees experiencing symptoms of depression. The programme delivers structured, self-guided psychological support over several short sessions that participants complete online over a period of several weeks. Approximately 50-80 adults will take part. Participants will be randomly assigned either to start the AI programme immediately or to continue with their usual support and access the programme later. All participants will complete questionnaires before and after the study period to assess changes in mood, anxiety, and work functioning. Some participants will also be invited to take part in brief interviews to share their experiences of using the programme. The aim of the study is to evaluate whether this AI-based intervention can improve mental health and workplace functioning, and to assess how acceptable and safe it is for use in a working population.

Trial Health

77
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
50

participants targeted

Target at P25-P50 for not_applicable depression

Timeline
1mo left

Started Oct 2025

Shorter than P25 for not_applicable depression

Geographic Reach
1 country

1 active site

Status
recruiting

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

Study Progress86%
Oct 2025Jun 2026

Study Start

First participant enrolled

October 7, 2025

Completed
4 months until next milestone

First Submitted

Initial submission to the registry

February 16, 2026

Completed
11 days until next milestone

First Posted

Study publicly available on registry

February 27, 2026

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 30, 2026

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

June 30, 2026

Last Updated

February 27, 2026

Status Verified

February 1, 2026

Enrollment Period

9 months

First QC Date

February 16, 2026

Last Update Submit

February 20, 2026

Conditions

Outcome Measures

Primary Outcomes (1)

  • Depression (PHQ-9)

    First measure at baseline, second measure 1 week post-intervention in treatment condition or 6 weeks after baseline in the control condition.

Secondary Outcomes (6)

  • Anxiety (GAD-7)

    First measure at baseline, second measure 1 week post-intervention in treatment condition or 6 weeks after baseline in the control condition.

  • Absenteeism

    First measure at baseline, second measure 1 week post-intervention in treatment condition or 6 weeks after baseline in the control condition.

  • Productivity

    First measure at baseline, second measure 1 week post-intervention in treatment condition or 6 weeks after baseline in the control condition.

  • Concentration at Work

    First measure at baseline, second measure 1 week post-intervention in treatment condition or 6 weeks after baseline in the control condition.

  • Relationships with Colleagues

    First measure at baseline, second measure 1 week post-intervention in treatment condition or 6 weeks after baseline in the control condition.

  • +1 more secondary outcomes

Study Arms (2)

AI-avatar led CBT course

EXPERIMENTAL
Behavioral: Remi, AI avatar-led cognitive behavioural therapy intervention

Treatment as usual

NO INTERVENTION

Interventions

The InsideOut AI programme for low mood is based on principles of Cognitive Behavioral Therapy (CBT), adapted into a self-paced, avatar-led format. Participants in the intervention group will complete six sessions over a four to six-week period, each lasting 10-15 minutes. The sessions will cover the following key components: 1. Session 1-2: Psychoeducation on depression and the role of CBT. 2. Session 3-4: Cognitive restructuring techniques to challenge negative thought patterns. 3. Session 5-6: Coping behavioural strategies for managing low mood and preventing relapse. The programme is designed to be fully automated, with personalised feedback provided by the AI avatar based on participants' responses and progress. Throughout the programme, participants will also complete self-check-ins to track their mood and identify progress. Engagement and adherence to the programme will be monitored through the platform's data analytics, allowing us to track session completion rates and user int

AI-avatar led CBT course

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Participants will be eligible if they currently experience symptoms of depression (score above 5 on the PHQ-9)
  • Participants should be aged 18 or above.
  • Participants need to be resident in the UK.

You may not qualify if:

  • Participants with frequent thoughts of suicide/self-harm will be excluded (scoring above 2 on Question 9 of the PHQ-9 "Thoughts that I would be dead or hurting myself in some way")
  • Participants who are currently undergoing other forms of therapy will be excluded.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

University of Roehampton

London, SW15 4JD, United Kingdom

RECRUITING

MeSH Terms

Conditions

Depression

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehavior

Central Study Contacts

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
NONE
Purpose
TREATMENT
Intervention Model
PARALLEL
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Dr

Study Record Dates

First Submitted

February 16, 2026

First Posted

February 27, 2026

Study Start

October 7, 2025

Primary Completion (Estimated)

June 30, 2026

Study Completion (Estimated)

June 30, 2026

Last Updated

February 27, 2026

Record last verified: 2026-02

Locations