Spark: Finding the Optimal Tracking Strategy for Weight Loss in a Digital

Status Recruiting

Clinical Trial Summary

This optimization trial will examine three tracking (or "self-monitoring") strategies for weight loss -- tracking dietary intake, steps, and/or body weight -- all delivered through digital health tools. The purpose of the study is to evaluate the combination of these strategies that maximizes 6-month weight loss in the context of a standalone digital health intervention for adults with overweight or obesity. The investigators will recruit 176 total participants to the trial. Recruitment will occur through remote channels. Interested individuals will be directed to an online screening questionnaire; those who are eligible will then be invited to attend an initial remote session with study personnel to ensure interest and eligibility in the study. The weight loss intervention will last 6 months, and all participants will receive a "core" treatment consisting of goal setting, behavioral lessons, action plans, and tailored feedback - all of which will be delivered remotely. Depending on which group participants are assigned to in the study, some individuals will be asked to track their dietary intake, their steps, and/or their body weight via digital tools. All study tasks will occur remotely, thus, participants never need to come in-person for any intervention or assessment tasks. The investigators will use the Multiphase Optimization Strategy (MOST) framework to identify the most effective combination of self-monitoring strategies. The factorial design will allow the research team to determine the unique and combined impact of each self-monitoring component on weight change. The primary outcome is weight change from baseline to 6 months. The research team will also assess self-monitoring engagement over 6 months and its association with weight change. To complement the main trial, the research team will also randomize half of participants to receive an interactive orientation video, in order to assess its impact on trial retention at 6 months. Overall, the information gathered from this trial will enable the construction of an optimized digital health intervention for weight loss that can be delivered remotely, which, if found to be effective, could have high potential for scalability.

Clinical Trial Description

n/a

Study Design

Related Conditions & MeSH terms

Clinical Trial Details

NCT number	NCT05249465
Study type	Interventional
Source	Stanford University
Contact	Michele L Patel, PhD
Phone	650-549-7047
Email	michele.patel@stanford.edu
Status	Recruiting
Phase	N/A
Start date	September 22, 2023
Completion date	June 30, 2025

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Clinical trials are conducted in a series of steps, called phases - each phase is designed to answer a separate research question.

Phase 1: Researchers test a new drug or treatment in a small group of people for the first time to evaluate its safety, determine a safe dosage range, and identify side effects.
Phase 2: The drug or treatment is given to a larger group of people to see if it is effective and to further evaluate its safety.
Phase 3: The drug or treatment is given to large groups of people to confirm its effectiveness, monitor side effects, compare it to commonly used treatments, and collect information that will allow the drug or treatment to be used safely.
Phase 4: Studies are done after the drug or treatment has been marketed to gather information on the drug's effect in various populations and any side effects associated with long-term use.

Spark: Finding the Optimal Tracking Strategy for Weight Loss in a Digital Health Intervention

Clinical Trial Summary

Clinical Trial Description

Study Design

Related Conditions & MeSH terms