Evidence map›Paper›PMID 31518292›Full record

ArticleJMIR pediatrics and parenting2018

Social Media Content About Children's Pain and Sleep: Content and Network Analysis.

Michelle E Tougas, Christine T Chambers, Penny Corkum, Julie M Robillard, Anatoliy Gruzd, Vivian Howard, Andrea Kampen, Katelynn E Boerner, Amos S Hundert

Abstract read
In one paragraph

Article in JMIR pediatrics and parenting, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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.

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

8 citing papers in PubMed.

  1. Article
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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

9 authors.

Michelle E TougasDepartment of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0002-0015-6705
Christine T ChambersDepartment of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0002-7138-916X
Penny CorkumDepartment of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0002-2552-4973
Julie M RobillardDivision of Neurology, Department of Medicine, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0001-5765-4927
Anatoliy GruzdThe Ted Rogers School of Information Technology Management, Ryerson University, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-2366-5163
Vivian HowardSchool of Information Management, Dalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0001-6081-7037
Andrea KampenCentre for Pediatric Pain Research, IWK Health Centre, Halifax, NS, Canada.ORCID http://orcid.org/0000-0001-5568-2457
Katelynn E BoernerDepartment of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada.ORCID http://orcid.org/0000-0003-1652-4813
Amos S HundertCentre for Pediatric Pain Research, IWK Health Centre, Halifax, NS, Canada.ORCID http://orcid.org/0000-0001-8257-2202

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media is often used for health communication and can facilitate fast information exchange. Despite its increasing use, little is known about child health information sharing and engagement over social media.

objectiveThe primary objectives of this study are to systematically describe the content of social media posts about child pain and sleep and identify the level of research evidence in these posts. The secondary objective is to examine user engagement with information shared over social media.

methodsTwitter, Instagram, and Facebook were searched by members of the research team over a 2-week period using a comprehensive search strategy. Codes were used to categorize the content of posts to identify the frequency of content categories shared over social media platforms. Posts were evaluated by content experts to determine the frequency of posts consistent with existing research evidence. User engagement was analyzed using Netlytic, a social network analysis program, to examine visual networks illustrating the level of user engagement.

resultsFrom the 2-week period, nearly 1500 pain-related and 3800 sleep-related posts were identified and analyzed. Twitter was used most often to share knowledge about child pain (639/1133, 56.40% of posts), and personal experiences for child sleep (2255/3008, 75.00% of posts). For both topics, Instagram posts shared personal experiences (53/68, 78% pain; 413/478, 86.4% sleep), Facebook group posts shared personal experiences (30/49, 61% pain; 230/345, 66.7% sleep) and Facebook pages shared knowledge (68/198, 34.3% pain; 452/1026, 44.05% sleep). Across platforms, research evidence was shared in 21.96% (318/1448) of pain- and 9.16% (445/4857) of sleep-related posts; 5.38% (61/1133) of all pain posts and 2.82% (85/3008) of all sleep posts shared information inconsistent with the evidence, while the rest were absent of evidence. User interactions were indirect, with mostly one-way, rather than reciprocal conversations.

conclusionsSocial media is commonly used to discuss child health, yet the majority of posts do not contain research evidence, and user engagement is primarily one-way. These findings represent an opportunity to expand engagement through open conversations with credible sources. Research and health care communities can benefit from incorporating specific information about evidence within social media posts to improve communication with the public and empower users to distinguish evidence-based content better. Together, these findings have identified potential gaps in social media communication that may be informative targets to guide future strategies for improving the translation of child health evidence over social media.

Indexed as

child healthknowledge translationpainsleepsocial media

Identifiers

PMID31518292
PMCPMC6715344

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.