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

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 t...

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Autores principales: Bennett, Gary G, Steinberg, Dori, Bolton, Jamiyla, Gallis, John A, Treadway, Cayla, Askew, Sandy, Kay, Melissa C, Pollak, Kathryn I, Turner, Elizabeth L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850907/
https://www.ncbi.nlm.nih.gov/pubmed/33459600
http://dx.doi.org/10.2196/19506
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author Bennett, Gary G
Steinberg, Dori
Bolton, Jamiyla
Gallis, John A
Treadway, Cayla
Askew, Sandy
Kay, Melissa C
Pollak, Kathryn I
Turner, Elizabeth L
author_facet Bennett, Gary G
Steinberg, Dori
Bolton, Jamiyla
Gallis, John A
Treadway, Cayla
Askew, Sandy
Kay, Melissa C
Pollak, Kathryn I
Turner, Elizabeth L
author_sort Bennett, Gary G
collection PubMed
description 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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spelling pubmed-78509072021-02-05 Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial Bennett, Gary G Steinberg, Dori Bolton, Jamiyla Gallis, John A Treadway, Cayla Askew, Sandy Kay, Melissa C Pollak, Kathryn I Turner, Elizabeth L JMIR Res Protoc Protocol 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 JMIR Publications 2021-01-18 /pmc/articles/PMC7850907/ /pubmed/33459600 http://dx.doi.org/10.2196/19506 Text en ©Gary G Bennett, Dori Steinberg, Jamiyla Bolton, John A Gallis, Cayla Treadway, Sandy Askew, Melissa C Kay, Kathryn I Pollak, Elizabeth L Turner. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 18.01.2021. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included.
spellingShingle Protocol
Bennett, Gary G
Steinberg, Dori
Bolton, Jamiyla
Gallis, John A
Treadway, Cayla
Askew, Sandy
Kay, Melissa C
Pollak, Kathryn I
Turner, Elizabeth L
Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial
title Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial
title_full Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial
title_fullStr Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial
title_full_unstemmed Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial
title_short Optimizing an Obesity Treatment Using the Multiphase Optimization Strategy Framework: Protocol for a Randomized Factorial Trial
title_sort optimizing an obesity treatment using the multiphase optimization strategy framework: protocol for a randomized factorial trial
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850907/
https://www.ncbi.nlm.nih.gov/pubmed/33459600
http://dx.doi.org/10.2196/19506
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