Evidence map›Paper›PMID 27515151›Full record

ArticleJournal of medical Internet research2016

Mechanisms of Communicating Health Information Through Facebook: Implications for Consumer Health Information Technology Design.

Hannah K Menefee, Morgan J Thompson, Thomas M Guterbock, Ishan C Williams, Rupa S Valdez

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Facebook Groups for the Management of Chronic Diseases.Journal of medical Internet research · 2018
    Article
  7. Article
  8. Article
  9. When Personal Tracking Becomes Social: Examining the Use of Instagram for Healthy Eating.Proceedings of the SIGCHI conference on human factors in computing systems. CHI Conference · 2017
    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

5 authors.

Hannah K MenefeeDepartment of Population Health Sciences, Virginia Tech, Blacksburg, VA, United States.ORCID 0000-0002-4001-7179
Morgan J ThompsonORCID 0000-0003-1319-7423
Thomas M GuterbockORCID 0000-0001-6529-0393

Funding

Informing Consumer Health IT Design: How Patients Use Social Networking SitesR03HS022930 · AHRQ · UNIVERSITY OF VIRGINIA · PI VALDEZ, RUPA SHETH · 2014 to 2014
$100k
AHRQ HHS R03 HS022930
6 · The paper itself

Abstract

backgroundConsumer health information technology (IT) solutions are designed to support patient health management and have the ability to facilitate patients' health information communication with their social networks. However, there is a need for consumer health IT solutions to align with patients' health management preferences for increased adoption of the technology. It may be possible to gain an understanding of patients' needs for consumer health IT supporting their health information communication with social networks by explicating how they have adopted and adapted social networking sites, such as Facebook, for this purpose.

objectiveOur aim was to characterize patients' use of all communication mechanisms within Facebook for health information communication to provide insight into how consumer health IT solutions may be better designed to meet patients' communication needs and preferences.

methodsThis study analyzed data about Facebook communication mechanisms use from a larger, three-phase, sequential, mixed-methods study. We report here on the results of the study's first phase: qualitative interviews (N=25). Participants were over 18, used Facebook, were residents or citizens of the United States, spoke English, and had a diagnosis consistent with type 2 diabetes. Participants were recruited through Facebook groups and pages. Participant interviews were conducted via Skype or telephone between July and September 2014. Data analysis was grounded in qualitative content analysis and the initial coding framework was informed by the findings of a previous study.

resultsParticipants' rationales for the use or disuse of a particular Facebook mechanism to communicate health information reflected six broad themes: (1) characteristics and circumstances of the person, (2) characteristics and circumstances of the relationship, (3) structure and composition of the social network, (4) content of the information, (5) communication purpose, and (6) attributes of the technology.

conclusionsThe results of this study showed that participants consider multiple factors when choosing a Facebook mechanism for health information communication. Factors included what information they intended to share, what they were trying to accomplish, attributes of technology, and attributes and communication practices of their social networks. There is a need for consumer health IT that allows for a range of choices to suit the intersectionality of participants' rationales. Technology that better meets patients' needs may lead to better self-management of health conditions, and therefore, improve overall health outcomes.

Indexed as

Health Information ExchangeInternetSocial NetworkingAdultConsumer Health InformationFemaleHealth CommunicationHumansMaleMiddle AgedUnited Statesconsumer health informationFacebookhealth communicationmedical informaticssocial networks

Identifiers

PMID27515151
PMCPMC4999533

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Registered trials

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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.