Evidence map›Paper›PMID 35254266›Full record

ArticleJournal of medical Internet research2022

Contextualizing Engagement With Health Information on Facebook: Using the Social Media Content and Context Elicitation Method.

Yonaira M Rivera, Meghan B Moran, Johannes Thrul, Corinne Joshu, Katherine C Smith

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 19 citations in OpenAlex.

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  6. Understanding Health Information Needs: An Evaluation of Co-Design Video-Assisted Education.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
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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

5 authors at 2 institutions in 1 country.

Yonaira M RiveraDepartment of Communication, School of Communication & Information, Rutgers University, New Brunswick, NJ, United States.ORCID 0000-0002-5041-5250
Meghan B MoranDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-6745-6668
Johannes ThrulDepartment of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0001-8929-9579
Corinne JoshuDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0002-5100-172X
Katherine C SmithDepartment of Health, Behavior & Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.ORCID 0000-0003-2140-1690
Johns Hopkins University · USRutgers, The State University of New Jersey · US

Funding

University of Kentucky Markey Cancer Center Support Grant ECIA SupplementP30CA177558 · NCI · UNIVERSITY OF KENTUCKY · PI Bernard Mark Evers · 2013 to 2026
$38.3M
INSTITUTIONAL RESEARCH CANCER EPIDEMIOLOGY FELLOWSHIPT32CA009314 · NCI · JOHNS HOPKINS UNIVERSITY · PI Corinne E. Joshu, Meghan Bridgid Moran · 1985 to 2026
$11.2M
Exploring cancer prevention and screening message engagement on Facebook among U.S. LatinosF31CA224615 · NCI · JOHNS HOPKINS UNIVERSITY · PI RIVERA, YONAIRA · 2018 to 2019
$90k
NCI NIH HHS F31 CA224615NCI NIH HHS P30 CA177558NCI NIH HHS T32 CA009314
6 · The paper itself

Abstract

backgroundMost of what is known regarding health information engagement on social media stems from quantitative methodologies. Public health literature often quantifies engagement by measuring likes, comments, and/or shares of posts within health organizations' Facebook pages. However, this content may not represent the health information (and misinformation) generally available to and consumed by platform users. Furthermore, some individuals may prefer to engage with information without leaving quantifiable digital traces. Mixed methods approaches may provide a way of surpassing the constraints of assessing engagement with health information by using only currently available social media metrics.

objectiveThis study aims to discuss the limitations of current approaches in assessing health information engagement on Facebook and presents the social media content and context elicitation method, a qualitatively driven, mixed methods approach to understanding engagement with health information and how engagement may lead to subsequent actions.

methodsData collection, management, and analysis using the social media content and context elicitation method are presented. This method was developed for a broader study exploring how and why US Latinos and Latinas engage with cancer prevention and screening information on Facebook. The study included 20 participants aged between 40 and 75 years without cancer who participated in semistructured, in-depth interviews to discuss their Facebook use and engagement with cancer information on the platform. Participants accessed their Facebook account alongside the researcher, typed cancer in the search bar, and discussed cancer-related posts they engaged with during the previous 12 months. Engagement was defined as liking, commenting, and/or sharing a post; clicking on a post link; reading an article in a post; and/or watching a video within a post. Content engagement prompted questions regarding the reasons for engagement and whether engagement triggered further action. Data were managed using MAXQDA (VERBI GmbH) and analyzed using thematic and content analyses.

resultsData emerging from the social media content and context elicitation method demonstrated that participants mainly engaged with cancer prevention and screening information by viewing and/or reading content (48/66, 73%) without liking, commenting, or sharing it. This method provided rich content regarding how US Latinos and Latinas engage with and act upon cancer prevention and screening information on Facebook. We present 2 emblematic cases from the main study to exemplify the additional information and context elicited from this methodology, which is currently lacking from quantitative approaches.

conclusionsThe social media content and context elicitation method allows a better representation and deeper contextualization of how people engage with and act upon health information and misinformation encountered on social media. This method may be applied to future studies regarding how to best communicate health information on social media, including how these affect assessments of message credibility and accuracy, which can influence health outcomes.

Indexed as

Social MediaAdultAgedCommunicationEmotionsHumansMiddle AgedPublic HealthResearch Designcancerdata collectiondigital healthFacebookhealth informationmixed methodssocial media

Identifiers

PMID35254266
PMCPMC8933799
OpenAlexW4205460500

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.