Evidence map›Paper›PMID 39822317›Full record

ArticleAmerican journal of lifestyle medicine2025

Using Social Media for More Engaged Users and Enhanced Health Communication in Diabetes Care.

Zijian H Gong, Conrad Lyford

Abstract read
In one paragraph

Article in American journal of lifestyle medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Patient-Provider Discussions About Online Health Information in the Health Information National Trends Survey.Health education & behavior : the official publication of the Society for Public Health Education · 2026
    Article
  2. 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

2 authors.

Zijian H GongCollege of Media and Communication, Texas Tech University System, Lubbock, TX, USA.ORCID https://orcid.org/0000-0002-7846-2366
Conrad LyfordCollege of Agricultural Sciences and Natural Resources, Texas Tech University System, Lubbock, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecent literature identified social media message features predictive of user engagement. Desired information from a patient perspective and use of social media information from a provider perspective in diabetes care is less clear. PURPOSE: Our study analyzed diabetes patients' desired information from social media and how such information could be used in conjunction with doctor-patient communication to enhance compliance with recommended care.

methodsA survey examined diabetic patients' interests in searching for various diabetes information on social media and assessed the potential impact of social media sourced information on doctor-patient communication. This survey was followed by a content analysis of major US diabetes organizations' Facebook pages, which were considered for effectiveness in their communication with diabetes patients.

resultsSurvey participants were most interested in diabetes management recommendations. Diabetes knowledge positively correlated with interests in diabetes management recommendations but negatively correlated with prior use of social media for diabetes information. 70.9% of patients had discussed information from social media with their doctor. The content analysis showed narrative evidence and updates on diabetes-related research findings, and medical policies generated a higher level of user engagement.

conclusionWhile survey participants showed greatest interests in health recommendations and tips, only 11.7% of the analyzed social media posts included such information. Posts that included diabetes-related information led to higher engagement than posts that emphasized social values. Patients in general have asked doctors about information received on social media which suggests that social media can be a useful platform for communicating diabetes care information.

Indexed as

common-sense modeldiabetes managementhealth communicationsocial media

Identifiers

PMID39822317
PMCPMC11733105

What OpenQuestion holds

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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.