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Recruiting

NCT Number: NCT07225426

Personalizing Financial Incentives

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

Recruiting

Interested in participating?

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

About this study

In this study, community outpatients will participate in a clinician-facilitated, group-based behavioral weight-loss program for 24 weeks. Dietary self-monitoring data (input by patients via a mobile phone dietary application) and weight data (input by patients via cellular scale) will be collected by a software platform. A reinforcement learning algorithm will use data collected during the trial to predict which participants will respond to a financial incentive. Incentives will be provided to participants predicted to respond, and they will be notified of incentives via text messaging.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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

Exclusion criteria

  • 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
  • Pain, fainting, or other conditions that prohibit mild/moderate exercise
  • History of ascites requiring paracentesis
  • Inducing vomiting to prevent weight gain or counteract the effects of eating an average of 1 time per week or more in the past 3 months*
  • Not suitable for study participation due to other reasons at the discretion of the investigators

Treatment and study plan

personalized financial incentives

Behavioral

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.

Primary outcomes

  1. Screening-to-enrollment ratio

    Time frame: Week 0

    number of potential participants screened for the study/ number of participants who provide a baseline weight for the intervention

  2. Retention for outcomes

    Time frame: 25 weeks

    number of participants who provide a weight at 25 weeks/number of participants who provide a baseline weight for the intervention

Secondary outcomes

  1. Adherence to calorie logging

    Time frame: 24 weeks

    Proportion of weeks participants achieve adequate calorie logging (5 days per week)

  2. Adherence to self-weighing

    Time frame: 24 weeks

    Proportion of weeks participants weigh at least twice per week on a study-provided cellular scale

  3. Body weight

    Time frame: baseline to 25 weeks

    Changes in body weight from baseline to week 25, measured by study-provided cellular scales

Study contacts

Contact information is provided by the study sponsor or research team.

Corrine Voils, PhD

CONTACT

[email protected]

801-585-6667

Fiona Robertson

CONTACT

[email protected]

Sponsors and collaborators

Lead sponsor

University of Utah

Other

Collaborators

  • National Heart, Lung, and Blood Institute (NHLBI)

Registry information

Official study title

Log2LoseAI: Reinforcement Learning to Create a Framework for Personalizing Financial Incentives

Acronym: Log2LoseAI

Important dates

Study start
2026
Primary completion
2027
Study completion
2027
First posted
Nov 6, 2025
Registry last updated
Mar 6, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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