Observational studyJournal of medical Internet research2016
Assessing the Viability of Social Media for Disseminating Evidence-Based Nutrition Practice Guideline Through Content Analysis of Twitter Messages and Health Professional Interviews: An Observational Study.
Observational study 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 19 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Social Media in Heart Failure: A Mixed-Methods Systematic Review.Current cardiology reviews · 2021Pooled it
- Digital and traditional recruitment strategies and participation patterns in the multicenter Healthy Brain Ageing study.Frontiers in digital health · 2026Article
- Accuracy of Nutrition-Related Awareness Messages on Twitter (Rebranded as X) by the Nutrition Awareness Providers in the Kingdom of Saudi Arabia: Validity Content Analysis.Online journal of public health informatics · 2025Article
- 'The wisdom of crowds': a survey on the rating of nutritional values of meals in digital pictures.BMJ nutrition, prevention & health · 2025Article
- Nutrients and Foods Recommended for Blood Pressure Control on Twitter in Japan: Content Analysis.Journal of medical Internet research · 2024Article
- Misinformation surrounding sodium reduction for blood pressure: content analysis of Japanese posts on X.Health promotion international · 2024Article
- The #SeePainMoreClearly Phase II Pain in Dementia Social Media Campaign: Implementation and Evaluation Study.JMIR aging · 2024Article
- Public perception of the resumption of HPV vaccine recommendation in Japan: Twitter content analysis.Health promotion international · 2023Article
- Use of #NutritionFacts to promote evidence-based nutrition information: X (formerly Twitter) hashtag analysis study.Frontiers in public health · 2023Article
- Users' passivity in accessing digested scientific evidence through social media: cross-sectional insights.BMC research notes · 2022Article
- Representations of Psychoactive Drugs' Use in Mass Culture and Their Impact on Audiences.International journal of environmental research and public health · 2021Review
- Social Media Data Analytics for Outbreak Risk Communication: Public Attention on the "New Normal" During the COVID-19 Pandemic in Indonesia.Computer methods and programs in biomedicine · 2021Article
- Knowledge translation and social media: Twitter data analysis of the 2019 Canadian Guideline for Physical Activity throughout Pregnancy.Canadian journal of public health = Revue canadienne de sante publique · 2020Article
- What people share about the COVID-19 outbreak on Twitter? An exploratory analysis.BMJ health & care informatics · 2020Article
- Characterizing Media Content and Effects of Organ Donation on a Social Media Platform: Content Analysis.Journal of medical Internet research · 2019Article
- Mining Facebook Data of People with Rare Diseases: A Content-Based and Temporal Analysis.International journal of environmental research and public health · 2018Article
- Understanding public opinion regarding organ donation in China: A social media content analysis.Science progressArticle
- The Information Sharing Behaviors of Dietitians and Twitter Users in the Nutrition and COVID-19 Infodemic: Content Analysis Study of Tweets.JMIR infodemiologyArticle
- Online distribution channel increases article usage on Mendeley: a randomized controlled trial.ScientometricsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundGiven the high penetration of social media use, social media has been proposed as a method for the dissemination of information to health professionals and patients. This study explored the potential for social media dissemination of the Academy of Nutrition and Dietetics Evidence-Based Nutrition Practice Guideline (EBNPG) for Heart Failure (HF).
objectivesThe objectives were to (1) describe the existing social media content on HF, including message content, source, and target audience, and (2) describe the attitude of physicians and registered dietitian nutritionists (RDNs) who care for outpatient HF patients toward the use of social media as a method to obtain information for themselves and to share this information with patients.
methodsThe methods were divided into 2 parts. Part 1 involved conducting a content analysis of tweets related to HF, which were downloaded from Twitonomy and assigned codes for message content (19 codes), source (9 codes), and target audience (9 codes); code frequency was described. A comparison in the popularity of tweets (those marked as favorites or retweeted) based on applied codes was made using t tests. Part 2 involved conducting phone interviews with RDNs and physicians to describe health professionals' attitude toward the use of social media to communicate general health information and information specifically related to the HF EBNPG. Interviews were transcribed and coded; exemplar quotes representing frequent themes are presented.
resultsThe sample included 294 original tweets with the hashtag "#heartfailure." The most frequent message content codes were "HF awareness" (166/294, 56.5%) and "patient support" (97/294, 33.0%). The most frequent source codes were "professional, government, patient advocacy organization, or charity" (112/277, 40.4%) and "patient or family" (105/277, 37.9%). The most frequent target audience codes were "unable to identify" (111/277, 40.1%) and "other" (55/277, 19.9%). Significant differences were found in the popularity of tweets with (mean 1, SD 1.3 favorites) or without (mean 0.7, SD 1.3 favorites), the content code being "HF research" (P=.049). Tweets with the source code "professional, government, patient advocacy organizations, or charities" were significantly more likely to be marked as a favorite and retweeted than those without this source code (mean 1.2, SD 1.4 vs mean 0.8, SD 1.2, P=.03) and (mean 1.5, SD 1.8 vs mean 0.9, SD 2.0, P=.03). Interview participants believed that social media was a useful way to gather professional information. They did not believe that social media was useful for communicating with patients due to privacy concerns and the fact that the information had to be kept general rather than be tailored for a specific patient and the belief that their patients did not use social media or technology.
conclusionsExisting Twitter content related to HF comes from a combination of patients and evidence-based organizations; however, there is little nutrition content. That gap may present an opportunity for EBNPG dissemination. Health professionals use social media to gather information for themselves but are skeptical of its value when communicating with patients, particularly due to privacy concerns and misconceptions about the characteristics of social media users.
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Registered trials
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.