ArticleHealthcare (Basel, Switzerland)2024
The Role of Health Belief Model Constructs and Content Creator Characteristics in Social Media Engagement: Insights from COVID-19 Vaccine Tweets.
Article in Healthcare (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The effect of source expertise on the persuasiveness and sharing of health information on social media: A systematic review.Psychonomic bulletin & review · 2026Pooled it
- Article
- Mental wellbeing effects of disclosing life events on social media.Scientific reports · 2025Article
- Media portrayals and social stigma surrounding COVID-19 survivors: a content analysis of Chinese media coverage.BMC public health · 2025Article
- Psychometric Analysis of Items Evaluating Health Belief Model Constructs in Social Media Posts: Application of Rasch Measurement Model.Behavioral sciences (Basel, Switzerland) · 2025Article
- The role of social media messages and content creators in shaping COVID-19 vaccination intentions.Frontiers in digital health · 2025Article
- Assessing the Saudi Ministry of Health Instagram messaging through the lens of the health belief model.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe Health Belief Model (HBM) has been widely studied, but it is unclear how social media post creators use HBM constructs to influence the public's awareness of health topics, particularly for COVID-19 preventative health behaviors. Moreover, there is limited knowledge about how content creators enhance user engagement with COVID-19 vaccine tweets.
methodsA content analysis of COVID-19 vaccine tweets (
findingsContent creators' tweets about COVID-19-related topics generally centered on two HBM constructs-benefits and barriers-while fewer tweets emphasized perceived susceptibility or self-efficacy; tweets containing these constructs were retweeted less often. Findings revealed that tweets from politicians, health experts, and white and Asian sources emphasized the perceived benefits of the COVID-19 vaccine. Individual tweets, especially from Black individuals and celebrities, generated more user engagement.
conclusionsUnderstanding the factors that contribute to social media user engagement with health-related content is important for designing more focused and impactful health communication campaigns and promoting healthier habits and perspectives. Thus, by demonstrating the possible relevance of the HBM to digital communication strategies or health campaigns, our study provides useful guidance for health promoters and policymakers who use social media to raise public health awareness.
Indexed as
Identifiers
What OpenQuestion holds
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.