Accepted for/Published in: JMIR Public Health and Surveillance
Date Submitted: Feb 12, 2021
Date Accepted: Jun 2, 2021
U.S. Doctors’ and Nurses’ Motivations, Barriers, and Recommendations to Correct Health Misinformation on Social Media: A Qualitative Study
ABSTRACT
Background:
Health misinformation is a public health concern. Various stakeholders have called on healthcare professionals to be more proactive in correcting health misinformation on social media.
Objective:
To identify healthcare professionals’ motivations in correcting health misinformation on social media, the barriers they face in doing this, and their recommendations to overcome such barriers.
Methods:
In-depth interviews were conducted with 30 U.S. healthcare professionals composed of 15 registered nurses and 15 medical doctors. Qualitative data were analyzed using thematic analysis.
Results:
Healthcare professionals are personally (e.g., personal choice) and professionally (e.g., to fulfill the responsibility of a healthcare professional) motivated to correct health misinformation on social media. However, they also face intrapersonal (e.g., lack of positive outcome and time), interpersonal (e.g., harassment and bullying), and institutional (e.g., lack of institutional support and social media training) barriers to correct health misinformation on social media. To overcome these barriers, participants recommend healthcare professionals get misinformation and social media training, including building their social media presence.
Conclusions:
Healthcare professionals are willing to correct health misinformation on social media despite several barriers in doing such an act. Nonetheless, the study provides recommendations that can be used to overcome such barriers. Overall, the findings can be used by health authorities and organizations to guide policies and activities aiming at encouraging more healthcare professionals to be on social media to counteract health misinformation.
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.