Health BehaviorMBAP-XNCT07382804
Mobile Behavioral Activation Program With Wearable Sensors and Secure Activity Verification
A study testing Behavioral: Mobile Behavioral Activation App, Mobile App + Wearable Activity Sensor and Mobile App + Wearable Sensor + Secure Activity Verification Layer in people with Health Behavior and Behavioral Activation, run by Truway Health, Inc. at 1 site in United States.
Trial 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… Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Health Behavior, Behavioral Activation, Sedentary Behavior
- What is being tested?
- Behavioral: Mobile Behavioral Activation App, Mobile App + Wearable Activity Sensor and Mobile App + Wearable Sensor + Secure Activity Verification Layer
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 227,000 participants
- Where
- 1 siteUnited States
- Study dates
- 25 Jan 2026to 25 Jan 2099
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
About this study
Official title: A Mobile-Integrated Behavioral Activation Program Using Wearable Sensor Support and Optional Decentralized Data Verification to Enhance Daily Productivity in Healthy Adults
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.
Read more
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.
Read the detailed description
Daily functioning in modern environments is often affected by high cognitive load, fragmented attention, and inconsistent routines. Many adults experience difficulty initiating tasks, sustaining engagement, and maintaining productive habits. Behavioral Activation (BA), originally developed for mood-related conditions, provides a structured approach for increasing engagement in meaningful activities and reducing avoidance patterns. BA emphasizes that action precedes motivation and that small, achievable behaviors can create reinforcement cycles that improve daily functioning.
Mobile technology and wearable sensors now allow BA principles to be delivered in real time. Wearable devices can detect movement patterns, activity levels, sleep-related rhythms, and environmental cues. When paired with a mobile application, these data streams support adaptive prompts, personalized task suggestions, and real-time feedback. This integration enables interventions to occur in natural environments rather than relying solely on retrospective self-report.
To enhance transparency and participant autonomy, the study incorporates a decentralized verification layer. Traditional digital-health systems rely on centralized data storage controlled by the research team. In contrast, decentralized verification provides tamper-resistant logs, participant-controlled data review, and transparent audit trails. This approach supports data integrity and participant trust.
The study evaluates a mobile-integrated behavioral activation program supported by wearable sensors and a decentralized verification layer. The objective is to determine whether this combined approach can improve daily functioning, increase follow-through on planned tasks, and support healthier routines in adults seeking to enhance their productivity.
- Conditions
- Health Behavior, Behavioral Activation, Sedentary Behavior
- Being tested
- Behavioral: Mobile Behavioral Activation App, Mobile App + Wearable Activity Sensor, Mobile App + Wearable Sensor + Secure Activity Verification Layer
- 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
- Medical subject headings
- Health Behavior, Sedentary Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Behavioral: Mobile Behavioral Activation AppBehavioural
Participants receive daily behavioral activation tasks, structured prompts, and routine-building cues delivered through the mobile app only.
Mobile App + Wearable Activity SensorBehavioural
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.
Mobile App + Wearable Sensor + Secure Activity Verification LayerBehavioural
Participants receive behavioral activation tasks, sensor-based feedback, and secure verification of activity logs through a tamper-resistant verification layer.
| Study group | Role | What they receive |
|---|---|---|
| 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. Receives: 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. Receives: 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. Receives: Behavioral: Mobile App + Wearable Sensor + Secure Activity Verification Layer |
What is being measured
The primary outcome is the main question the study is designed to answer.
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.
Measured: 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.
Measured: 8 Weeks from baseline enrollment
Secondary outcomes (2)
Change in Self-Reported Daily Productivity
Change in participants' self-reported daily productivity, measured using a brief in-app rating scale (e.g., 0-10) completed at least once per week. Scores will be averaged over the assessment period and compared across intervention arms to assess whether the different intervention tiers (mobile app only; mobile app + wearable sensor; mobile app + wearable sensor + decentralized verification layer) are associated with greater perceived productivity and task effectiveness in daily life.
Measured: 8 weeks from baseline enrollment
Change in Routine Stability Index
Change in routine stability, defined as the consistency of daily task timing and completion patterns over the assessment period. Routine stability will be quantified using variability in task completion times and day-to-day fluctuations in task completion rate, derived from app logs (and sensor timestamps where applicable). Lower variability indicates more stable routines. Outcomes will be compared across intervention arms to assess whether adding a wearable sensor and decentralized verification layer supports more consistent daily routines.
Measured: 8 weeks from baseline enrollment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted3 Feb 2026
- Study start25 Jan 2026
- Primary completion25 Jan 2099 (estimated)
- Study completion25 Jan 2099 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Health BehaviorStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Model description
- 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.
- Masking
- None (open label)
- Enrolment
- 227,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Truway Health, Inc.
- Sponsor type
- Industry (pharma, biotech, devices)
- Responsible party
- Sponsor
- Investigators
- Gavin Solomon, CEO, Principal investigator, Truway Health, Inc.
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07382804
- Sponsor's protocol ID
- TH-MBAP-2026-001
- Acronym
- MBAP-X
- Status last verified
- Jan 2026
- First submitted
- 25 Jan 2026
- Last updated
- 3 Feb 2026
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
Study at a glance
From the registry record, last updated by the sponsor on 3 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- A Mobile-Integrated Behavioral Activation Program Using Wearable Sensor Support and Optional Decentralized Data Verification to Enhance Daily Productivity in Healthy Adults
- ClinicalTrials.gov ID
- NCT07382804
- Acronym / sponsor ID
- MBAP-X / TH-MBAP-2026-001
- Conditions
- Health Behavior, Behavioral Activation, Sedentary Behavior
- Keywords
- Daily productivity, Task engagement, Routine building, Motivation, Behavioral patterns, Activity monitoring, Wearable sensor data, Ecological momentary intervention
- Study type
- Interventional
- Recruitment status
- Enrolling by invitation
- Enrolment
- 227,000 participants (estimated)
- Lead sponsor
- Truway Health, Inc.Industry (pharma, biotech, devices)
- Study start
- 25 Jan 2026 (actual)
- Primary completion
- 25 Jan 2099 (estimated)
- Study completion
- 25 Jan 2099 (estimated)
- First posted
- 3 Feb 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Detailed description
Daily functioning in modern environments is often affected by high cognitive load, fragmented attention, and inconsistent routines. Many adults experience difficulty initiating tasks, sustaining engagement, and maintaining productive habits. Behavioral Activation (BA), originally developed for mood-related conditions, provides a structured approach for increasing engagement in meaningful activities and reducing avoidance patterns. BA emphasizes that action precedes motivation and that small, achievable behaviors can create reinforcement cycles that improve daily functioning.
Mobile technology and wearable sensors now allow BA principles to be delivered in real time. Wearable devices can detect movement patterns, activity levels, sleep-related rhythms, and environmental cues. When paired with a mobile application, these data streams support adaptive prompts, personalized task suggestions, and real-time feedback. This integration enables interventions to occur in natural environments rather than relying solely on retrospective self-report.
To enhance transparency and participant autonomy, the study incorporates a decentralized verification layer. Traditional digital-health systems rely on centralized data storage controlled by the research team. In contrast, decentralized verification provides tamper-resistant logs, participant-controlled data review, and transparent audit trails. This approach supports data integrity and participant trust.
The study evaluates a mobile-integrated behavioral activation program supported by wearable sensors and a decentralized verification layer. The objective is to determine whether this combined approach can improve daily functioning, increase follow-through on planned tasks, and support healthier routines in adults seeking to enhance their productivity.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 3
- Model description
- 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.
| Arm | Type | Receives |
|---|---|---|
| Experimental - Mobile App Only | Experimental | Behavioral: Behavioral: Mobile Behavioral Activation AppParticipants 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. |
| Experimental - Mobile App + Wearable Sensor | Experimental | Behavioral: Mobile App + Wearable Activity SensorParticipants 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. |
| Experimental - Mobile App + Wearable Sensor + Secure Activity Verification | Experimental | Behavioral: Mobile App + Wearable Sensor + Secure Activity Verification LayerParticipants 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (6 listed)
- 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
Key exclusion criteria (5 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Behavioral: Mobile Behavioral Activation AppParticipants receive daily behavioral activation tasks, structured prompts, and routine-building cues delivered through the mobile app only. | Behavioural | Experimental - Mobile App Only |
| Mobile App + Wearable Activity SensorParticipants 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. | Behavioural | Experimental - Mobile App + Wearable Sensor |
| Mobile App + Wearable Sensor + Secure Activity Verification LayerParticipants receive behavioral activation tasks, sensor-based feedback, and secure verification of activity logs through a tamper-resistant verification layer. | Behavioural | Experimental - Mobile App + Wearable Sensor + Secure Activity Verification |
Primary outcome
Change in Average Daily Active Minutes
Time frame: 8 weeks from baseline enrollment
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.
Change in Daily Task Completion Rate
Time frame: 8 Weeks from baseline enrollment
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.
2 secondary outcomes
Change in Self-Reported Daily Productivity
Time frame: 8 weeks from baseline enrollment
Change in Routine Stability Index
Time frame: 8 weeks from baseline enrollment
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 3 Feb 2026.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Gavin Solomon, CEO principal investigator
Truway Health, Inc.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Behavioral: Mobile Behavioral Activation App, Mobile App + Wearable Activity Sensor and Mobile App + Wearable Sensor + Secure Activity Verification Layer in people with Health Behavior and Behavioral Activation, run by Truway Health, Inc. at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 6 inclusion and 5 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: enrolling by invitation, as of the sponsor's last update on 3 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in Average Daily Active Minutes (time frame: 8 weeks from baseline enrollment). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 3 Feb 2026.