Personalizing Financial Incentives

NCT ID: NCT07225426

Last Updated: 2025-11-06

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

NOT_YET_RECRUITING

Clinical Phase

NA

Total Enrollment

80 participants

Study Classification

INTERVENTIONAL

Study Start Date

2025-12-31

Study Completion Date

2026-02-28

Brief Summary

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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

Detailed Description

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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.

Conditions

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Obesity & Overweight

Keywords

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behavioral intervention obesity financial incentives reinforcement learning artificial intelligence

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Personalized incentives

Participants may receive financial incentives for weight loss if their performance suggests they respond to financial incentives.

Group Type EXPERIMENTAL

personalized financial incentives

Intervention Type 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.

Interventions

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personalized financial incentives

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.

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

1. Willing to attend virtual baseline and follow-up data collection visits
2. At least 18 years of age
3. Verified obesity as defined as a BMI ≥30 kg/m2
4. Agree to attend 13 biweekly group classes (virtual) delivered by a registered dietitian
5. Agree to review study materials between classes
6. Regular access to an unshared smart phone
7. Reliable access to internet
8. Able to speak and read English
9. Desire to lose weight
10. Able to connect to a video conference call using a smartphone, tablet or computer with a webcam and microphone
11. Ability to download and use Fitbit app daily
12. Have or be willing to create a Gmail address
13. Physical ability to stand on a scale without support

Exclusion Criteria

1. Weight loss of at least 10lbs in the month prior to screening
2. Weight \> 380lbs
3. Currently enrolled or enrolled in the previous month in a clinical, research, or community program focusing on lifestyle change that could affect weight
4. New user of weight loss medication
5. Pregnant, lactating or planning on becoming pregnant during the study
6. History of bariatric procedure or planning to have bariatric procedure in the study timeframe
7. Residing in a nursing home, skilled nursing facility or assisted living facility
8. Impaired hearing
9. Significant dementia, drug or alcohol abuse, or unstable psychiatric illness (e.g., schizophrenia, psychosis)
10. Current treatment for cancer or being treated for cancer (besides basal cell carcinoma or squamous cell) in the last 6 months
11. Use of insulin, sulfonylureas, or meglitinides due to increased risk for hypoglycemia
12. 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
13. Unstable heart disease in the 6 months prior to screening
14. Chronic kidney disease at stage 4 or higher
15. Exertional chest pain
16. Pain, fainting, or other conditions that prohibit mild/moderate exercise
17. History of ascites requiring paracentesis
18. 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\*
19. Not suitable for study participation due to other reasons at the discretion of the investigators
Minimum Eligible Age

18 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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National Heart, Lung, and Blood Institute (NHLBI)

NIH

Sponsor Role collaborator

University of Utah

OTHER

Sponsor Role lead

Responsible Party

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Corrine Voils

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

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University of Utah

Salt Lake City, Utah, United States

Site Status

Countries

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United States

Central Contacts

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Corrine Voils, PhD

Role: CONTACT

Phone: 801-585-6667

Email: [email protected]

Fiona Robertson

Role: CONTACT

Email: [email protected]

Facility Contacts

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Corrine Voils, PhD

Role: primary

Fiona Robertson

Role: backup

Other Identifiers

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R34HL170205

Identifier Type: NIH

Identifier Source: secondary_id

View Link

00188990

Identifier Type: -

Identifier Source: org_study_id