Evidence map›Paper›PMID 32525482›Full record

SynthesisJournal of medical Internet research2020

Behavior Change Techniques Included in Reports of Social Media Interventions for Promoting Health Behaviors in Adults: Content Analysis Within a Systematic Review.

Rosiane Simeon, Omar Dewidar, Jessica Trawin, Stephanie Duench, Heather Manson, Jordi Pardo Pardo, Jennifer Petkovic, Janet Hatcher Roberts, Peter Tugwell, Manosila Yoganathan and 2 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 2 pooled it
9.7field-weighted citation impact, top 2% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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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

12 authors at 4 institutions in 1 country.

Rosiane SimeonBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-7411-6194
Omar DewidarBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-6420-887X
Jessica TrawinBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0003-3296-8668
Stephanie DuenchDepartment of Population Medicine, University of Guelph, Guelph, ON, Canada.ORCID 0000-0002-9696-8029
Heather MansonDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9212-2739
Jordi Pardo PardoCochrane Musculoskeletal Group, Ottawa Hospital Research Institute, Ottawa, ON, Canada.ORCID 0000-0002-3985-5335
Jennifer PetkovicBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-5824-584X
Janet Hatcher RobertsBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-1605-3911
Peter TugwellBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0001-5062-0556
Manosila YoganathanBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-3609-944X
Justin PresseauFaculty of Medicine, School of Epidemiology and Public Health, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-2132-0703
Vivian WelchBruyère Research Institute, University of Ottawa, Ottawa, ON, Canada.ORCID 0000-0002-5238-7097
University of Ottawa · CAOttawa Hospital · CAUniversity of Guelph · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media are an increasingly commonly used platform for delivering health promotion interventions. Although recent research has focused on the effectiveness of social media interventions for health promotion, very little is known about the optimal content within such interventions, and the active ingredients to promote health behavior change using social media are not clear. Identifying which behavior change techniques (BCTs) are reported may help to clarify the content of interventions using a generalizable terminology that may facilitate future intervention development.

objectiveThis study aimed to identify which BCTs are reported in social media interventions for promoting health behavior change in adults.

methodsWe included 71 studies conducted with adult participants (aged ≥18 years) and for which social media intervention was considered interactive in a Cochrane review of the effectiveness of such interventions. We developed a coding manual informed by the Behavior Change Technique Taxonomy version 1 (BCTTv1) to identify BCTs in the included studies. We identified BCTs in all study arms (including control) and described BCTs in the group and self-directed components of studies. We characterized the dose of delivery for each BCT by low and high intensity. We used descriptive analyses to characterize the reported BCTs.

resultsOur data consisted of 71 studies published from 2001 to 2017, mainly conducted in high-income countries (n=65). Most studies (n=31) used tailored, interactive websites to deliver the intervention; Facebook was the most used mainstream platform. In developing our coding manual, we adapted some BCTTv1 instructions to better capture unique nuances of how BCTs were operationalized in social media with respect to likes, retweets, smiles, congratulations, and badges. Social support (unspecified), instruction on how to perform the behavior, and credible source were most frequently identified BCTs in intervention arms of studies and group-delivery settings, whereas instruction on how to perform the behavior was most commonly applied in self-directed components of studies, control arms, and individual participant settings. Instruction on how to perform the behavior was also the most frequently reported BCT in both intervention and control arms simultaneously. Instruction on how to perform the behavior, social support (unspecified), self-monitoring of behavior, information about health consequences, and credible source were identified in the top 5 BCTs delivered with the highest intensity.

conclusionsThis study within a review provides a detailed description of the BCTs and their dose to promote behavior change in web-based, interactive social media interventions. Clarifying active ingredients in social media interventions and the intensity of their delivery may help to develop future interventions that can more clearly build upon the existing evidence.

Indexed as

Behavior TherapyHealth BehaviorHealth PromotionHumansSocial Mediahealth behaviorhealth promotionpublic healthsocial mediataxonomy

Identifiers

PMID32525482
PMCPMC7317628
OpenAlexW3012909991

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.