TY - JOUR
T1 - Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy
T2 - Opt-IN study protocol
AU - Pellegrini, Christine A.
AU - Hoffman, Sara A.
AU - Collins, Linda M.
AU - Spring, Bonnie
N1 - Funding Information:
This publication was made possible by grant number DK097364 from NIDDK awarded to Drs. Spring and Collins and by NIDPA P50 DA10075 to Dr. Collins. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH.
PY - 2014/7
Y1 - 2014/7
N2 - 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.
AB - 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.
KW - Optimization
KW - Technology
KW - Weight loss
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U2 - 10.1016/j.cct.2014.05.007
DO - 10.1016/j.cct.2014.05.007
M3 - Article
C2 - 24846621
AN - SCOPUS:84901981163
SN - 1551-7144
VL - 38
SP - 251
EP - 259
JO - Contemporary Clinical Trials
JF - Contemporary Clinical Trials
IS - 2
ER -
