Personalizing Financial Incentives
Log2LoseAI
Log2LoseAI: Reinforcement Learning to Create a Framework for Personalizing Financial Incentives
2 other identifiers
interventional
80
1 country
1
Brief Summary
The purpose of this study is to determine the feasibility of providing personalized incentives for dietary self-monitoring and/or interim weight loss to people enrolled in a weight-loss program
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Feb 2026
1 active site
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
First Submitted
Initial submission to the registry
November 4, 2025
CompletedFirst Posted
Study publicly available on registry
November 6, 2025
CompletedStudy Start
First participant enrolled
February 4, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
February 28, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
February 28, 2027
March 6, 2026
March 1, 2026
1.1 years
November 4, 2025
March 5, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Screening-to-enrollment ratio
number of potential participants screened for the study/ number of participants who provide a baseline weight for the intervention
Week 0
Retention for outcomes
number of participants who provide a weight at 25 weeks/number of participants who provide a baseline weight for the intervention
25 weeks
Secondary Outcomes (3)
Adherence to calorie logging
24 weeks
Adherence to self-weighing
24 weeks
Body weight
baseline to 25 weeks
Study Arms (1)
Personalized incentives
EXPERIMENTALParticipants may receive financial incentives for weight loss if their performance suggests they respond to financial incentives.
Interventions
Every week, a reinforcement learning algorithm will process data on weight loss, calorie logging, and incentives earned to predict that their weight loss is positively influenced by incentives.
Eligibility Criteria
You may qualify if:
- Willing to attend virtual baseline and follow-up data collection visits
- At least 18 years of age
- Verified obesity as defined as a BMI ≥30 kg/m2
- Agree to attend 13 biweekly group classes (virtual) delivered by a registered dietitian
- Agree to review study materials between classes
- Regular access to an unshared smart phone
- Reliable access to internet
- Able to speak and read English
- Desire to lose weight
- Able to connect to a video conference call using a smartphone, tablet or computer with a webcam and microphone
- Ability to download and use Fitbit app daily
- Have or be willing to create a Gmail address
- Physical ability to stand on a scale without support
You may not qualify if:
- Weight loss of at least 10lbs in the month prior to screening
- Weight \> 380lbs
- Currently enrolled or enrolled in the previous month in a clinical, research, or community program focusing on lifestyle change that could affect weight
- New user of weight loss medication
- Pregnant, lactating or planning on becoming pregnant during the study
- History of bariatric procedure or planning to have bariatric procedure in the study timeframe
- Residing in a nursing home, skilled nursing facility or assisted living facility
- Impaired hearing
- Significant dementia, drug or alcohol abuse, or unstable psychiatric illness (e.g., schizophrenia, psychosis)
- Current treatment for cancer or being treated for cancer (besides basal cell carcinoma or squamous cell) in the last 6 months
- Use of insulin, sulfonylureas, or meglitinides due to increased risk for hypoglycemia
- Diuretic medication doses higher than hydrochlorothiazide or chlorthalidone 25 mg daily, furosemide 40 mg daily, torsemide 20 mg daily, bumetanide 1 mg daily, or any use of metolazone; use of potassium-sparing diuretics is acceptable
- Unstable heart disease in the 6 months prior to screening
- Chronic kidney disease at stage 4 or higher
- Exertional chest pain
- +4 more criteria
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of Utah
Salt Lake City, Utah, 84108, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
November 4, 2025
First Posted
November 6, 2025
Study Start
February 4, 2026
Primary Completion (Estimated)
February 28, 2027
Study Completion (Estimated)
February 28, 2027
Last Updated
March 6, 2026
Record last verified: 2026-03
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF
- Time Frame
- Scientific data will be available by the earlier of these two time points, as required by the NIH: 1) the date on which the article is first made available in print or electronic format, or 2) the funding period (to include a possible no-cost extension).
This study will collect weight data from the cellular-connect scales, calorie logging data from the dietary tracking app, and self-reported survey data including demographics and behavioral measures. Additional data will include binary indicators for whether participants earned an incentive each week of the study and how much they earned, generated by algorithms created by the research team using scale and dietary tracking app data.