Content and sentiment analysis of gabapentinoid-related tweets: An infodemiology study

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Abstract

Introduction: The increasing number of gabapentinoid (pregabalin and gabapentin) harms, including deaths observed across countries is concerning to health-care professionals and policy makers. However, it is unclear if the public shares these concerns. This study aimed to describe posts related to gabapentinoids, conduct a content analysis to identify common themes and describe adverse events or symptoms. Methods: Keywords of ‘pregabalin’ or ‘Lyrica’ or ‘gabapentin’ or ‘Neurontin’ were used to search for related tweets posted by people in the community between 8 March and 7 May 2021. Eligible tweets included a keyword in the post. We extracted de-identified data which included descriptive data of the total number of posts over time; and data on individual tweets including date, number of re-tweets and post content. Data were exported separately for pregabalin- and gabapentin-related tweets. A 20% random sample was used for the thematic analysis. Results: There were 2931 pregabalin-related tweets and 2736 gabapentin-related tweets. Thematic analysis revealed three themes (sharing positive experiences and benefits of taking gabapentinoids, people voicing their negative experiences, and people seeking opinions and sharing information). Positive experiences of gabapentinoids were related to sharing stories and giving advice. This was contrasted to negative experiences including ineffectiveness, withdrawals, side effects and frustration related to cost and insurance coverage. Brain fog was the most common adverse symptom reported. Gabapentinoid-related deaths were only mentioned in three tweets. Discussion: The increasing public health concern of gabapentinoid-related deaths was not translated to Twitter discussions.

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APA

Mathieson, S., O’Keeffe, M., Traeger, A. C., Ferreira, G. E., & Abdel Shaheed, C. (2024). Content and sentiment analysis of gabapentinoid-related tweets: An infodemiology study. Drug and Alcohol Review, 43(1), 45–55. https://doi.org/10.1111/dar.13590

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