University of Utah
Salt Lake City, Utah, 84108, United States
Location status: Recruiting
NCT Number: NCT07225426
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
Interested in participating?
Request Info18 year and older
All sexes
Interventional
Not applicable
Salt Lake City, Utah, 84108, United States
Location status: Recruiting
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.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
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.
Time frame: Week 0
number of potential participants screened for the study/ number of participants who provide a baseline weight for the intervention
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
Time frame: 24 weeks
Proportion of weeks participants achieve adequate calorie logging (5 days per week)
Time frame: 24 weeks
Proportion of weeks participants weigh at least twice per week on a study-provided cellular scale
Time frame: baseline to 25 weeks
Changes in body weight from baseline to week 25, measured by study-provided cellular scales
Contact information is provided by the study sponsor or research team.
University of Utah
Other
Log2LoseAI: Reinforcement Learning to Create a Framework for Personalizing Financial Incentives
Acronym: Log2LoseAI
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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