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

Contemp Clin Trials. 2014 Jul;38(2):251-9. doi: 10.1016/j.cct.2014.05.007. Epub 2014 May 17.


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 30-40 kg/m(2)) between 18 and 60 years 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 6 months.

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.

Keywords: Optimization; Technology; Weight loss.

Publication types

  • Randomized Controlled Trial
  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Behavior Therapy / methods*
  • Body Mass Index
  • Body Weights and Measures
  • Cell Phone*
  • Diet
  • Female
  • Health Behavior
  • Humans
  • Life Style
  • Male
  • Middle Aged
  • Mobile Applications
  • Obesity / therapy*
  • Primary Health Care
  • Research Design*
  • Social Support
  • Text Messaging
  • Weight Reduction Programs / methods*
  • Young Adult