ArticleHealth expectations : an international journal of public participation in health care and health policy2016
Health e-mavens: identifying active online health information users.
Article in Health expectations : an international journal of public participation in health care and health policy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Characteristics of the Measurement Tools for Assessing Health Information-Seeking Behaviors in Nationally Representative Surveys: Systematic Review.Journal of medical Internet research · 2021Pooled it
- Clusters of Patient Empowerment and Mental Health Literacy Differentiate Professional Help-Seeking Attitudes in Online Mental Health Communities Users.Health expectations : an international journal of public participation in health care and health policy · 2025Article
- Are Health e-Mavens the New Patient Influencers?Frontiers in psychology · 2020Review
- Is News Surveillance related to Cancer Knowledge in Underserved Adults? Testing Three Versions of the Cognitive Mediation Model.Journalism studies · 2020Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundGiven the rapid increase of Internet use for effective health communication, it is important for health practitioners to be able to identify and mobilize active users of online health information across various web-based health intervention programmes. We propose the concept 'health e-mavens' to characterize individuals actively engaged in online health information seeking and sharing activities.
objectivesThis study aimed to address three goals: (i) to test the factor structure of health e-mavenism, (ii) to assess the reliability and validity of this construct and (iii) to determine what predictors are associated with health e-mavenism.
methodsThis study was a secondary analysis of nationally representative data from the 2010 Health Tracking Survey. We assessed the factor structure of health e-mavenism using confirmatory factor analysis and examined socio-demographic variables, health-related factors and use of technology as potential predictors of health e-mavenism through ordered regression analysis.
resultsConfirmatory factor analyses showed that a second-order two-factor structure best captured the health e-maven construct. Health e-mavenism comprised two second-order factors, each encompassing two first-order dimensions: information acquisition (consisting of information tracking and consulting) and information transmission (consisting of information posting and sharing). Both first-order and second-order factors exhibited good reliabilities. Several factors were found to be significant predictors of health e-mavenism. DISCUSSION AND
conclusionThis study offers a starting point for further inquiries about health e-mavens. It is a fruitful construct for health promotion research in the age of new media technologies. We conclude with specific recommendations to further develop the health e-maven concept through continued empirical research.
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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.