Mobile Behavioral Activation Program With Wearable Sensors and Secure Activity Verification

NCT07382804 | Enrolling By Invitation DMC

• 1 other identifier: TH-MBAP-2026-001
• Study Type: interventional
• Target: 227,000
• Locations: 1 country
• Sites: 1

Brief Summary

This study evaluates a mobile-integrated behavioral activation program designed to help adults improve their daily productivity, motivation, and task engagement. The program combines a smartphone application, wearable sensor data, and a decentralized data-verification layer to support participants as they build healthier routines and increase consistent daily activity. Behavioral activation is a well-established psychological approach that encourages individuals to take small, structured actions that align with their goals and values. In this study, participants receive daily prompts, activity suggestions, and personalized behavioral tasks through a mobile app. The app uses information from a wearable sensor-such as movement patterns, activity levels, and environmental cues-to help participants track progress and stay engaged with the program. A unique feature of this study is the use of decentralized data verification. Participants' activity logs and task completions are recorded in a secure, tamper-resistant system that allows them to maintain control over their own data while ensuring accuracy and transparency. This approach supports participant autonomy and strengthens the reliability of the study's outcome measures. The study aims to understand whether combining behavioral activation with real-time sensor feedback and decentralized data verification can improve daily productivity, increase follow-through on planned tasks, and support healthier routines. Participants will use the mobile app and wearable device for the duration of the study and will complete periodic check-ins to share their experiences, challenges, and overall satisfaction with the program. The research team will evaluate changes in daily activity patterns, task completion rates, self-reported productivity, and engagement with the behavioral activation tasks. Findings from this study may help inform future digital health tools that support motivation, routine-building, and personal productivity in everyday life.

Conditions

Behavioral Activation; Sedentary Behavior; Health Behavior

Keywords

Daily productivity; Task engagement; Routine building; Motivation; Behavioral patterns; Activity monitoring; Wearable sensor data; Ecological momentary intervention; Digital behavioral tools; Circadian activity patterns; Behavioral reinforcement; Adaptive prompting; Digital phenotyping; Participant-controlled data; Decentralized verification

Outcome Measures

Primary Outcomes (2)

• Change in Average Daily Active Minutes

  Average number of minutes per day spent in non-sedentary activity, as captured by the wearable activity sensor (for applicable arms) and inferred from app interaction logs (for all arms). Daily active minutes will be averaged over the assessment period and compared across intervention arms to evaluate whether adding a wearable sensor and decentralized verification layer increases real-world physical activation associated with behavioral tasks.

  8 weeks from baseline enrollment

• Change in Daily Task Completion Rate

  Proportion of assigned behavioral activation tasks completed per day, as recorded by the mobile app, averaged over the assessment period. Daily task completion rate will be compared across intervention arms (mobile app only; mobile app + wearable sensor; mobile app + wearable sensor + decentralized verification layer) to evaluate the effect of each intervention tier on real-world task follow-through and productivity.

  8 Weeks from baseline enrollment

Secondary Outcomes (2)

• Change in Self-Reported Daily Productivity

  8 weeks from baseline enrollment

• Change in Routine Stability Index

  8 weeks from baseline enrollment

Study Arms (3)

Experimental - Mobile App Only

EXPERIMENTAL

Participants use a mobile behavioral activation application that delivers daily tasks, reminders, and routine-building prompts. No wearable sensor or secure activity-verification layer is used in this arm.

Behavioral: Behavioral: Mobile Behavioral Activation App

Experimental - Mobile App + Wearable Sensor

EXPERIMENTAL

Participants use the same mobile behavioral activation app as Arm 1 and also wear a lightweight activity sensor that passively tracks movement and activity patterns. Sensor-derived activity data may inform the timing or intensity of app-delivered prompts.

Behavioral: Mobile App + Wearable Activity Sensor

Experimental - Mobile App + Wearable Sensor + Secure Activity Verification

EXPERIMENTAL

Participants use the mobile behavioral activation app and wearable activity sensor. Activity logs are additionally processed through a secure verification layer that provides participant-controlled, tamper-evident activity records used for engagement tracking and outcome analysis.

Behavioral: Mobile App + Wearable Sensor + Secure Activity Verification Layer

Interventions

Behavioral: Mobile Behavioral Activation App BEHAVIORAL

Participants receive daily behavioral activation tasks, structured prompts, and routine-building cues delivered through the mobile app only.

Experimental - Mobile App Only

Mobile App + Wearable Activity Sensor BEHAVIORAL

Participants receive behavioral activation tasks through the mobile app and wear an activity sensor that provides real-time movement data used to tailor prompts and support engagement.

Experimental - Mobile App + Wearable Sensor

Mobile App + Wearable Sensor + Secure Activity Verification Layer BEHAVIORAL

Participants receive behavioral activation tasks, sensor-based feedback, and secure verification of activity logs through a tamper-resistant verification layer.

Experimental - Mobile App + Wearable Sensor + Secure Activity Verification

Eligibility Criteria

• Age: 18 Years+
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Adults age 18 or older
• Owns a compatible smartphone capable of running the study app
• Willing to wear a lightweight activity sensor during waking hours (for applicable arms)
• Able to read and understand study instructions in English
• Willing to complete daily tasks and weekly check-ins through the mobile app
• Provides informed consent

You may not qualify if:

• Any condition that would prevent use of a mobile app or wearable sensor (e.g., inability to operate a smartphone)
• Any condition that would interfere with participation in daily behavioral tasks as determined by the research team
• Current participation in another digital-behavioral intervention study
• Inability or unwillingness to comply with study procedures
• Plans to travel or relocate in a way that would prevent consistent participation during the study period

Sponsors & Collaborators

• Truway Health, Inc.: lead

Study Sites (1)

Truway Health, Inc.

New York, New York, 10016, United States

Location

MeSH Terms

Conditions

Health Behavior; Sedentary Behavior

Condition Hierarchy (Ancestors)

Behavior

Study Officials

• Gavin Solomon, CEO

  Truway Health, Inc.

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: NONE
• Purpose: OTHER
• Intervention Model: PARALLEL
• Sponsor Type: INDUSTRY
• Responsible Party: SPONSOR

Model Details: Participants are assigned to one of several intervention groups operating in parallel. Each group receives a distinct combination of behavioral activation tools: Group A: Mobile app only Group B: Mobile app + wearable activity sensor Group C: Mobile app + wearable sensor + decentralized data verification layer There is no crossover between groups. Each participant engages with their assigned intervention throughout the study period. This design allows for comparative analysis of engagement, productivity, and behavioral outcomes across intervention tiers.

Study Record Dates

• First Submitted: January 25, 2026
• First Posted: February 3, 2026
• Study Start: January 25, 2026
• Primary Completion (Estimated): January 25, 2099
• Study Completion (Estimated): January 25, 2099
• Last Updated: February 3, 2026

Record last verified: 2026-01

Locations

US (1)