Observational studyJMIR mHealth and uHealth2019
Factors Influencing User Engagement of Health Information Disseminated by Chinese Provincial Centers for Disease Control and Prevention on WeChat: Observational Study.
Observational study in JMIR mHealth and uHealth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses 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
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Effect of mobile applications in oral health promotion among elderly people: a systematic review and meta-analysis.BMC oral health · 2026Pooled it
- Elements Influencing User Engagement in Social Media Posts on Lifestyle Risk Factors: Systematic Review.Journal of medical Internet research · 2024Pooled it
- Patient Engagement in a Mobile App-Based Rehabilitation Program for Total Hip or Knee Arthroplasty: Secondary Data Analysis of a Randomized Controlled Trial.JMIR mHealth and uHealth · 2024Trial
- The association between social media content production and adolescent physical health promotion: the chain mediating roles of online social support and positive psychological capital.BMC psychology · 2026Article
- Current status of public education on endocrine and metabolic diseases carried out by academic journals' WeChat official accounts: a retrospective study.BMC public health · 2026Article
- Effectiveness of WeChat-Based Plus Scene-Graphics Health Education for Rehabilitation After Open Elbow Arthrolysis: Historical Control Study.JMIR formative research · 2025Article
- Article
- Analysis of "Dr Ding Xiang" on WeChat in China to Determine Factors Influencing Readership on Medical Social Media: Observational Study.Journal of medical Internet research · 2025Observational
- The role of social media messages and content creators in shaping COVID-19 vaccination intentions.Frontiers in digital health · 2025Article
- The Role of Health Belief Model Constructs and Content Creator Characteristics in Social Media Engagement: Insights from COVID-19 Vaccine Tweets.Healthcare (Basel, Switzerland) · 2024Article
- Transforming and facilitating health care delivery through social networking platforms: evidences and implications from WeChat.JAMIA open · 2024Review
- Effects of Wuxi CDC WeChat official account article features on user engagement in health promotion.BMC public health · 2024Article
- Effects of Chinese provincial CDCs WeChat official account article features on user engagement during the COVID-19 pandemic.Journal of global health · 2023Article
- The Current Knowledge, Attitudes, and Practices of the Neglected Methodology of Web-Based Questionnaires Among Chinese Health Workers: Web-Based Questionnaire Study.Journal of medical Internet research · 2023Article
- WeChat official accounts' posts on medication use of 251 community healthcare centers in Shanghai, China: content analysis and quality assessment.Frontiers in medicine · 2023Article
- Middle-aged and elderly users' continuous usage intention of health maintenance-oriented WeChat official accounts: empirical study based on a hybrid model in China.BMC medical informatics and decision making · 2021Article
- Patterns of eHealth Website User Engagement Based on Cross-site Clickstream Data: Correlational Study.Journal of medical Internet research · 2021Article
- Association between supportive attitude and adoptive practice of control strategy against COVID-19 amosng college students in China: a cross-sectional study.BMC public health · 2021Article
- A Social Media-Promoted Educational Community of Joint Replacement Patients Using the WeChat App: Survey Study.JMIR mHealth and uHealth · 2021Article
- The Influencing Factors of Nutrition and Diet Health Knowledge Dissemination Using the WeChat Official Account in Health Promotion.Frontiers in public health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial media is currently becoming a new channel for information acquisition and exchange. In China, with the growing popularity of WeChat and WeChat official accounts (WOAs), health promotion agencies have an opportunity to use them for successful information distribution and diffusion online.
objectiveWe aimed to identify features of articles pushed by WOAs of Chinese provincial Centers for Disease Control and Prevention (CDC) that are associated with user engagement.
methodsWe searched and subscribed to 28 WOAs of provincial CDCs. Data for this study consisted of WeChat articles on these WOAs between January 1, 2017 and December 31, 2017. We developed a features frame containing title type, article content, article type, communication skills, number of marketing elements, and article length for each article and coded the data quantitatively using a coding scheme that assigned numeric values to article features. We examined the descriptive characteristics of articles for every WOA and generated descriptive statistics for six article features. The amount of reading and liking was converted into the level of reading and liking by the 75% position. Two-category univariate logistic regression and multivariable logistic regression were conducted to explore associations between the features of the articles and user engagement, operationalized as reading level and liking level.
resultsAll provincial CDC WOAs provided a total of 5976 articles in 2017. Shanghai CDC articles attracted the most user engagement, and Ningxia CDC articles attracted the least. For all articles, the median reading was 551.5 and the median liking was 10. Multivariable logistic regression analysis revealed that article content, article type, communication skills, number of marketing elements, and article length were associated with reading level and liking level. However, title type was only associated with liking level.
conclusionsHow social media can be used to best achieve health information dissemination and public health outcomes is a topic of much discussion and study in the public health community. Given the lack of related studies based on WeChat or official accounts, we conducted this study and found that article content, article type, communication skills, number of marketing elements, article length, and title type were associated with user engagement. Our study may provide public health and community leaders with insight into the diffusion of important health topics of concern.
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.