Published on in Vol 23, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24945, first published .
Classification of the Use of Online Health Information Channels and Variation in Motivations for Channel Selection: Cross-sectional Survey

Classification of the Use of Online Health Information Channels and Variation in Motivations for Channel Selection: Cross-sectional Survey

Classification of the Use of Online Health Information Channels and Variation in Motivations for Channel Selection: Cross-sectional Survey

Authors of this article:

Di Zhang1 Author Orcid Image ;   Zhen Shi1 Author Orcid Image ;   Hongchao Hu1 Author Orcid Image ;   Gang (Kevin) Han2 Author Orcid Image

Journals

  1. Jiang Y, Sun P, Chen Z, Guo J, Wang S, Liu F, Li J. Patients’ and healthcare providers’ perceptions and experiences of telehealth use and online health information use in chronic disease management for older patients with chronic obstructive pulmonary disease: a qualitative study. BMC Geriatrics 2022;22(1) View
  2. Zeng J, Li M, Pu X, Liu L. Exploring the effects of information insufficiency on residents’ intention to seek information about waste-to-energy incineration projects. Journal of Risk Research 2023;26(4):415 View
  3. Sun H, Qian L, Xue M, Zhou T, Qu J, Zhou J, Qu J, Ji S, Bu Y, Hu Y, Wu S, Chen Y, You J, Liu Y. The relationship between eHealth literacy, social media self-efficacy and health communication intention among Chinese nursing undergraduates: A cross-sectional study. Frontiers in Public Health 2022;10 View
  4. Okunoye B, Ning S, Jemielniak D. Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends. JMIR Formative Research 2022;6(3):e29819 View
  5. Huang Z, Yuan L. Enhancing learning and exploratory search with concept semantics in online healthcare knowledge management systems: An interactive knowledge visualization approach. Expert Systems with Applications 2024;237:121558 View
  6. Wang J, Zhen X, Coyte P, Shao D, Zhao N, Chang L, Feng Y, Sun X. Association Between Online Health Information–Seeking Behaviors by Caregivers and Delays in Pediatric Cancer: Mixed Methods Study in China. Journal of Medical Internet Research 2023;25:e46953 View
  7. Heaton-Shrestha C, Hanson K, Quirke-McFarlane S, Delaney N, Vandrevala T, Bearne L. Exploring how members of the public access and use health research and information: a scoping review. BMC Public Health 2023;23(1) View
  8. Ayo-Ajibola O, Davis R, Lin M, Riddell J, Kravitz R. Characterizing the Adoption and Experiences of Users of Artificial Intelligence–Generated Health Information in the United States: Cross-Sectional Questionnaire Study. Journal of Medical Internet Research 2024;26:e55138 View
  9. Zeng J, Duan H, Zhu W, Song J. Understanding residents’ risk information seeking, processing and sharing regarding waste incineration power projects. Energy 2024;304:132031 View
  10. Öntaş E, Bahar-Özvarış Ş, Şimşek B. Creating, publishing, and spreading processes of health-related contents in internet news sites: evaluation of the opinions of actors in health communication. Frontiers in Public Health 2024;12 View
  11. Crespo-Gonzalez C, Benrimoj S, Frommer M, Dineen-Griffin S. Navigating online health information: Insights into consumer influence and decision-making strategies—An overview of reviews. DIGITAL HEALTH 2024;10 View
  12. Zhang Y, Chen L, Zhu G. Taking a peek matters: Surveying the role of information scanning on COVID-19 vaccination intentions. Health Literacy and Communication Open 2024;2(1) View
  13. Yang X, Luo C, Xu Y, He Y, Zhao R. Unpacking cyberchondria: The roles of online health information seeking, health information overload, and health misperceptions. Telematics and Informatics 2024:102225 View