Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Jun 16, 2023
Open Peer Review Period: Jun 16, 2023 - Jun 30, 2023
Date Accepted: Sep 5, 2023
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Understanding Public Perceptions and Discussions on Opioids through Twitter
ABSTRACT
Background:
Opioids are used for the treatment of refractory pain, but their inappropriate use has detrimental consequences for health. Analyzing the level of awareness that the population has of it is relevant.
Objective:
To identify health-related discussions in Twitter posts mentioning opioids and analyze the content within these posts.
Methods:
In this cross-sectional study, we collected public tweets about major opioids posted in English or Spanish between January 1st and December 31st 2020. A total of 256,218 tweets were collected, of which 69,222 were discarded. Subsequently, 7,000 tweets were analyzed manually according to a codebook created by the researchers. The remaining databases were then analyzed using machine learning classifiers. The number of posts by each user type identified and the categories identified by analyzing the content.
Results:
Among all the drugs studied, fentanyl was the most discussed, being mentioned in 27% of the tweets. Regarding the type of user, approximately 70% were identified as patients. However, tweets posted by healthcare professionals generated the highest number of retweets. In terms of content, non-medical topics prevailed. The most frequently discussed non-medical topics were related to legal aspects and recreational use, while the most frequent medical topic was efficacy, which was considered poor or null in over 90% of the cases.
Conclusions:
This study provided a good understanding of public perceptions of opioids. Furthermore, these data can help design public health communication aimed to raise awareness among the population about the risks associated with excessive opioid use. Both healthcare providers and the general public must be aware of these risks to minimize opioid use as much as possible.
Citation
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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.