Evidence map›Paper›PMID 33459600›Full record

ArticleJMIR research protocols2021

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

Gary G Bennett, Dori Steinberg, Jamiyla Bolton, John A Gallis, Cayla Treadway, Sandy Askew, Melissa C Kay, Kathryn I Pollak, Elizabeth L Turner

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03254940 (Charge), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03254940 nacompletednot on this map

Charge: Optimizing a Standalone Text Messaging-Based Weight Loss Intervention

TypeinterventionalSponsorDuke UniversityRan2018 to 2023Enrolled534ConditionsWeight Loss, ObesityArmsCharge
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gary G BennettDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0002-4740-9175
Dori SteinbergDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0001-7588-4216
Jamiyla BoltonDuke Global Health Institute, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0003-0334-5816
John A GallisDuke Global Health Institute, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0003-1921-8424
Cayla TreadwayDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0003-0262-1057
Sandy AskewDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0002-4585-6115
Melissa C KayDuke Global Digital Health Science Center, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0002-9695-3126
Kathryn I PollakCancer Control and Population Sciences, Duke Cancer Institute, Durham, NC, United States.ORCID https://orcid.org/0000-0002-5559-2416
Elizabeth L TurnerDuke Global Health Institute, Duke University, Durham, NC, United States.ORCID https://orcid.org/0000-0002-7638-5942

Funding

Optimizing a standalone text messaging-based weight loss interventionR01DK109696 · NIDDK · DUKE UNIVERSITY · PI BENNETT, GARY G · 2017 to 2020
$2.7M
NIDDK NIH HHS R01 DK109696
6 · The paper itself

Abstract

backgroundEffective 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.

objectiveThe 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.

methodsWe 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.

resultsThe 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.

conclusionsFull 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 registrationClinicalTrials.gov NCT03254940; https://clinicaltrials.gov/ct2/show/NCT03254940. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/19506.

Indexed as

digital healthpersonalizedtext messageweight loss

Identifiers

PMID33459600
PMCPMC7850907

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.