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

Publication ,  Journal Article
Bennett, GG; Steinberg, D; Bolton, J; Gallis, JA; Treadway, C; Askew, S; Kay, MC; Pollak, KI; Turner, EL
Published in: JMIR Res Protoc
January 18, 2021

BACKGROUND: Effective weight loss interventions exist, yet few can be scaled up for wide dissemination. Further, none has been fully delivered via text message. We used the multiphase optimization strategy (MOST) to develop multicomponent interventions that consist only of active components, those that have been experimentally determined to impact the chosen outcome. OBJECTIVE: The goal of this study is to optimize a standalone text messaging obesity intervention, Charge, using the MOST framework to experimentally determine which text messaging components produce a meaningful contribution to weight change at 6 months. METHODS: We designed a 6-month, weight loss texting intervention based on our interactive obesity treatment approach (iOTA). Participants are randomized to one of 32 experimental conditions to test which standalone text messaging intervention components produce a meaningful contribution to weight change at 6 months. RESULTS: The project was funded in February 2017; enrollment began in January 2018 and data collection was completed in June 2019. Data analysis is in progress and first results are expected to be submitted for publication in 2021. CONCLUSIONS: Full factorial trials are particularly efficient in terms of cost and logistics when leveraged for standalone digital treatments. Accordingly, MOST has the potential to promote the rapid advancement of digital health treatments. Subject to positive findings, the intervention will be low cost, immediately scalable, and ready for dissemination. This will be of great potential use to the millions of Americans with obesity and the providers who treat them. TRIAL REGISTRATION: ClinicalTrials.gov NCT03254940; https://clinicaltrials.gov/ct2/show/NCT03254940. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/19506.

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Published In

JMIR Res Protoc

DOI

ISSN

1929-0748

Publication Date

January 18, 2021

Volume

10

Issue

1

Start / End Page

e19506

Location

Canada

Related Subject Headings

  • 4206 Public health
  • 4203 Health services and systems
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Bennett, G. G., Steinberg, D., Bolton, J., Gallis, J. A., Treadway, C., Askew, S., … Turner, E. L. (2021). Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial. JMIR Res Protoc, 10(1), e19506. https://doi.org/10.2196/19506
Bennett, Gary G., Dori Steinberg, Jamiyla Bolton, John A. Gallis, Cayla Treadway, Sandy Askew, Melissa C. Kay, Kathryn I. Pollak, and Elizabeth L. Turner. “Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial.JMIR Res Protoc 10, no. 1 (January 18, 2021): e19506. https://doi.org/10.2196/19506.
Bennett GG, Steinberg D, Bolton J, Gallis JA, Treadway C, Askew S, et al. Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial. JMIR Res Protoc. 2021 Jan 18;10(1):e19506.
Bennett, Gary G., et al. “Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial.JMIR Res Protoc, vol. 10, no. 1, Jan. 2021, p. e19506. Pubmed, doi:10.2196/19506.
Bennett GG, Steinberg D, Bolton J, Gallis JA, Treadway C, Askew S, Kay MC, Pollak KI, Turner EL. Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial. JMIR Res Protoc. 2021 Jan 18;10(1):e19506.

Published In

JMIR Res Protoc

DOI

ISSN

1929-0748

Publication Date

January 18, 2021

Volume

10

Issue

1

Start / End Page

e19506

Location

Canada

Related Subject Headings

  • 4206 Public health
  • 4203 Health services and systems
  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences