This paper is in the following e-collection/theme issue:

Early Results from COVID-19 Studies (363) JMIR Theme Issue: COVID-19 Special Issue (2553) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1911) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Quality/Credibility of eHealth Information and Trust Issues (654) Infodemiology and Infoveillance (1558)

Published on in Vol 6, No 11 (2022): November

This is a member publication of Open University

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38794, first published .
The Experience of Health Professionals With Misinformation and Its Impact on Their Job Practice: Qualitative Interview Study

The Experience of Health Professionals With Misinformation and Its Impact on Their Job Practice: Qualitative Interview Study

The Experience of Health Professionals With Misinformation and Its Impact on Their Job Practice: Qualitative Interview Study

Authors of this article:

Nashwa Ismail1 Author Orcid Image ;   Dhouha Kbaier2 Author Orcid Image ;   Tracie Farrell3 Author Orcid Image ;   Annemarie Kane4 Author Orcid Image
Article Authors Cited by (16) Tweetations (8) Metrics

Journals

  1. Tiwari S, Srivastava S, Rani B, Chauhan S. Addressing Health Misinformation: Promoting Accurate and Reliable Information. Archives of Medicine and Health Sciences 2024;12(3):432 View
  2. Singhal R, Anugu N. A Cross-Sectional Survey of Instagram to Assess Quality and Reliability of Information Regarding Tuberculosis. International Journal of Medical Students 2024;12(2):146 View
  3. Kbaier D, Kane A, McJury M, Kenny I. Prevalence of Health Misinformation on Social Media—Challenges and Mitigation Before, During, and Beyond the COVID-19 Pandemic: Scoping Literature Review. Journal of Medical Internet Research 2024;26:e38786 View
  4. Chaudhuri M, Hirunyawipada T, Pan Y. Managing Pharmaceutical Promotion Mix in the Rise of Social Media. Psychology & Marketing 2025;42(3):702 View
  5. Bhattacharya S, Singh A. Unravelling the infodemic: a systematic review of misinformation dynamics during the COVID-19 pandemic. Frontiers in Communication 2025;10 View
  6. Uppu S. Leveraging AI/NLP to Combat Health Misinformation and Promote Trust in Science. European Journal of Computer Science and Information Technology 2025;13(25):63 View
  7. Malhotra A, Evans N, Gao J, Du J, Zheng C. The issues caused by misinformation—How workers and organizations deal with it: A systematic literature review. An Annual Review of Information Science and Technology (ARIST) paper. Journal of the Association for Information Science and Technology 2025 View
  8. Song M, Elson J, Haas C, Obasi S, Sun X, Bastola D. The Effects of Patients’ Health Information Behaviors on Shared Decision-Making: Evaluating the Role of Patients’ Trust in Physicians. Healthcare 2025;13(11):1238 View
  9. Iqhrammullah M, Gusti N, Muzaffar A, Khader Y, Maulana S, Rademaker M, Abdullah A. Narrative review and bibliometric analysis on infodemics and health misinformation: A trending global issue. Health Policy and Technology 2025;14(5):101058 View
  10. Sathianathan S, Mhd Ali A, Chong W. How the General Public Navigates Health Misinformation on Social Media: Qualitative Study of Identification and Response Approaches. JMIR Infodemiology 2025;5:e67464 View
  11. Holzer H, Diviani N, Rubinelli S. COVID-19 misinformation and healthcare workers: A scoping review. Patient Education and Counseling 2025;141:109309 View
  12. Winters M, Wilhelm E, Pick J, Nordenstedt H, Gyberg V, Purnat T. Navigating information space: the role of health-care providers in the health-information journey of patients. The Lancet Primary Care 2025;1(3):100040 View
  13. Kaya F, Sezgin Y. Trust in medical information shared on social media: a cross-sectional survey among healthcare professionals and students. Turkish Journal of Clinics and Laboratory 2025;16(3):570 View
  14. Alsararatee H, Yunusa N. The impact of nutrition misinformation on public health and practice: a review. British Journal of Nursing 2025;34(19):S18 View
  15. Wang G, Zhang Y, Wang W, Zhu Y, Lu W, Wang C, Bi H, Yang X. Detection of Medical Misinformation in Hemangioma Patient Education: Comparative Study of ChatGPT-4o and DeepSeek-R1 Large Language Models. JMIR AI 2025;4:e76372 View

Books/Policy Documents

  1. Ohakpougwu E, Field C. Enhancing Primary Care Delivery [Working Title]. View