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Multidisciplinary Approach to Obesity Management: A Case Report

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Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized

Gary G Bennett^1,2, Dori Steinberg^1,3, Jamiyla Bolton⁴

¹Duke Global Digital Health Science Center, Duke University, Durham, NC, United States.

JMIR Research Protocols

|January 18, 2021

Summary

This summary is machine-generated.

This study optimized a text messaging weight loss program using the Multiphase Optimization Strategy (MOST). The goal was to identify effective text message components for significant weight change in obesity treatment.

Keywords:

digital health personalized text message weight loss

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Area of Science:

Digital Health
Obesity Treatment
Behavioral Science

Background:

Effective weight loss interventions are limited in scalability and dissemination.
No comprehensive weight loss intervention has been fully delivered via text message.
The Multiphase Optimization Strategy (MOST) focuses on identifying active intervention components.

Purpose of the Study:

To optimize a standalone text messaging obesity intervention, "Charge."
To use the MOST framework to identify effective text messaging components for weight loss.
To determine which components contribute meaningfully to weight change at 6 months.

Main Methods:

A 6-month weight loss texting intervention based on the interactive obesity treatment approach (iOTA).
Participants were randomized into 32 experimental conditions.
Evaluation of standalone text messaging intervention components for their contribution to weight change.

Main Results:

Data collection was completed in June 2019.
Data analysis is ongoing with results expected in 2021.
This study is registered under ClinicalTrials.gov NCT03254940.

Conclusions:

Full factorial trials are efficient for standalone digital treatments.
MOST can accelerate the advancement of digital health treatments.
A successful intervention would be low-cost, scalable, and beneficial for individuals with obesity.