NCT07455916

Brief Summary

Medication nonadherence undermines treatment effectiveness in psychiatric care, yet objective measurement in routine practice remains challenging. AI-enabled wearables may offer scalable monitoring, but evidence from randomized evaluations is limited. This exploratory trial evaluated the short-term effect of an AI-enabled smartwatch intervention on clinician-assessed medication adherence in adolescent and young adult psychiatric outpatients.

Trial Health

87
On Track

Trial Health Score

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

Enrollment
78

participants targeted

Target at P50-P75 for not_applicable

Timeline
Completed

Started Dec 2022

Typical duration for not_applicable

Geographic Reach
1 country

1 active site

Status
completed

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 Start

First participant enrolled

December 31, 2022

Completed
2.7 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

August 31, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

August 31, 2025

Completed
6 months until next milestone

First Submitted

Initial submission to the registry

February 25, 2026

Completed
9 days until next milestone

First Posted

Study publicly available on registry

March 6, 2026

Completed
Last Updated

April 23, 2026

Status Verified

April 1, 2026

Enrollment Period

2.7 years

First QC Date

February 25, 2026

Last Update Submit

April 18, 2026

Conditions

Keywords

psychiatrymedication adherencewearablesmartwatchrandomized trialartificial intelligencedigital therapeutics

Outcome Measures

Primary Outcomes (1)

  • Change in Brief Adherence Rating Scale (BARS) Score

    Medication adherence was assessed using the Brief Adherence Rating Scale (BARS), a clinician-administered instrument that structurally incorporates pill-count components (Byerly et al., 2008). At each assessment, the clinician elicits the number of pills prescribed over the preceding 28 days, the number actually taken, and the frequency of missed doses, and integrates these inputs with the structured patient interview into a 0-100% visual analog score. The primary outcome is the between-group difference in BARS change score (Δ = post - pre).

    Baseline (pre-randomization 28-day window) and end of intervention (28-day post-intervention window, week 4)

Secondary Outcomes (2)

  • Responder Rate at Δ ≥ 10 Percentage Points

    Baseline to end of intervention (4 weeks)

  • Responder Rate at Δ ≥ 20 Percentage Points

    Baseline to end of intervention (4 weeks)

Other Outcomes (2)

  • Association Between Device Engagement and BARS Change Score

    4 weeks (intervention perio

  • Within-Subject Adherence Change in Waitlist Crossover Cohort

    Baseline, end of waitlist observation (week 4), and end of smartwatch period (week 8)

Study Arms (2)

AI-enabled smartwatch

EXPERIMENTAL
Device: AI-enabled smartwatch

Control group

NO INTERVENTION

Participants in the control arm received usual psychiatric care for 4 weeks without the smartwatch intervention. After completing the observation period, control participants were offered the smartwatch intervention for an additional 4 weeks, forming a within-subject waitlist crossover cohort used for exploratory replication analyses.

Interventions

The device was designed to monitor medication-related behaviors in real-world settings (pill taking and, by design, use of eye drops, inhalers, and nasal sprays). A built-in camera remained in sleep mode and recorded brief \~20-second clips only when an electronic tag affixed to the medication container signaled three concurrent conditions: (1) container motion detected by the tag's accelerometer, (2) ambient light detected by the tag's light sensor, and (3) watch-tag proximity within approximately 10-15 cm via BLE ranging. After capturing a clip, the camera returned to sleep. Encrypted videos were transmitted to a secure server and linked to de-identified study IDs. Server-side algorithms then analyzed the full 20-second sequence, covering the continuous hand actions from opening to closing of the container, and returned a binary medication event (medication vs no medication). Participants were instructed to wear the smartwatch for 4 weeks.

AI-enabled smartwatch

Eligibility Criteria

Age12 Years+
Sexall
Healthy VolunteersNo
Age GroupsChild (0-17), Adult (18-64), Older Adult (65+)

You may qualify if:

  • Age 12 years or older
  • Receiving outpatient psychiatric care at the Department of Psychiatry
  • Willing to wear a study smartwatch and undergo study assessments
  • Able to provide written informed consent (or assent with parental consent for minors)

You may not qualify if:

  • Age under 12 years
  • Diagnosed with congenital genetic disorders
  • Clear history of acquired brain injury (e.g., cerebral palsy, cerebral infarction)
  • Comorbid seizure disorders or other neurological conditions
  • Severe psychotic symptoms or aggression precluding safe and stable smartwatch use or posing risk of device damage

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Wonkwang University Hospital

Iksan, Jeollabuk-do, 54538, South Korea

Location

MeSH Terms

Conditions

Mental DisordersMedication Adherence

Condition Hierarchy (Ancestors)

Patient CompliancePatient Acceptance of Health CareTreatment Adherence and ComplianceHealth BehaviorBehavior

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
SINGLE
Who Masked
OUTCOMES ASSESSOR
Masking Details
The BARS outcome assessor was blinded to treatment allocation at the time of rating; ratings were based on structured interview and pill-count inputs without access to device-recorded data. Participant blinding was not feasible because the intervention consisted of a visible wearable device.
Purpose
TREATMENT
Intervention Model
PARALLEL
Model Details: This was an exploratory randomized controlled trial. Participants were randomized 1:1 to the AI-enabled smartwatch intervention or usual care for 4 weeks. At the baseline visit, intervention-arm participants received device training and electronic tags were affixed to all active medication containers. Adherence was quantified over two prespecified 28-day windows: a baseline window immediately prior to randomization and a post-intervention window ending at the post-visit. Participants in both arms continued usual psychiatric care; no additional adherence counseling beyond routine practice was provided. Control-arm participants were subsequently offered the smartwatch intervention for an additional 4 weeks following the observation period, forming a within-subject waitlist crossover cohort for exploratory replication analyses.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
assistant professor, department of psychiatry

Study Record Dates

First Submitted

February 25, 2026

First Posted

March 6, 2026

Study Start

December 31, 2022

Primary Completion

August 31, 2025

Study Completion

August 31, 2025

Last Updated

April 23, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

Irb review is required because data sharing is not mentioned in the agreement

Locations