Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol

Christine A. Pellegrini, Sara A. Hoffman, Linda M. Collins, Bonnie Spring

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Obesity-attributable medical expenditures remain high, and interventions that are both effective and cost-effective have not been adequately developed. The Opt-IN study is a theory-guided trial using the Multiphase Optimization Strategy (MOST) to develop an optimized, scalable version of a technology-supported weight loss intervention. Objective: Opt-IN aims to identify which of 5 treatment components or component levels contribute most meaningfully and cost-efficiently to the improvement of weight loss over a 6. month period. Study design: Five hundred and sixty obese adults (BMI 30-40kg/m2) between 18 and 60years old will be randomized to one of 16 conditions in a fractional factorial design involving five intervention components: treatment intensity (12 vs. 24 coaching calls), reports sent to primary care physician (No vs. Yes), text messaging (No vs. Yes), meal replacement recommendations (No vs. Yes), and training of a participant's self-selected support buddy (No vs. Yes). During the 6-month intervention, participants will monitor weight, diet, and physical activity on the Opt-IN smartphone application downloaded to their personal phone. Weight will be assessed at baseline, 3, and 6months. Significance: The Opt-IN trial is the first study to use the MOST framework to develop a weight loss treatment that will be optimized to yield the best weight loss outcome attainable for $500 or less.

Original languageEnglish (US)
Pages (from-to)251-259
Number of pages9
JournalContemporary Clinical Trials
Volume38
Issue number2
DOIs
StatePublished - Jul 2014

Keywords

  • Optimization
  • Technology
  • Weight loss

ASJC Scopus subject areas

  • Pharmacology (medical)

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