Document Type
Article
Abstract
BACKGROUND: In 2021, the United States experienced a 14% rise in fatal drug overdoses totaling 106,699 deaths, driven by harmful opioid use, particularly among individuals in the perinatal period who face increased risks associated with opioid use disorders (OUDs). Increased concerns about the impacts of escalating harmful opioid use among pregnant and postpartum persons are rising. Most of the current limited perinatal OUD studies were conducted using traditional methods, such as interviews and randomized controlled trials to understand OUD treatment, risk factors, and associated adverse effects. However, little is known about how social media data, such as X, formerly known as Twitter, can be leveraged to explore and identify broad perinatal OUD trends, disclosure and communication patterns, and public health surveillance about OUD in the perinatal period. OBJECTIVE: The objective is 3-fold: first, we aim to identify key themes and trends in perinatal OUD discussions on platform X. Second, we explore user engagement patterns, including replying and retweeting behaviors. Third, we investigate computational methods that could potentially streamline and scale the labor-intensive manual annotation effort. METHODS: We extracted 6 million raw perinatal-themed tweets posted by global X users during the opioid epidemic from May 2019 to October 2021. After data cleaning and sampling, we used 500 tweets related to OUD in the perinatal period by US X users for a thematic analysis using NVivo (Lumivero) software. RESULTS: Seven major themes emerged from our thematic analysis: (1) political views related to harmful opioid and other substance use, (2) perceptions of others' substance use, (3) lived experiences of opioid and other substance use, (4) news reports or papers related to opioid and other substance use, (5) health care initiatives, (6) adverse effects on children's health due to parental substance use, and (7) topics related to nonopioid substance use. Among these 7 themes, our user engagement analysis revealed that themes 4 and 5 received the highest average retweet counts, and theme 3 received the highest average tweet reply count. We further found that different computational methods excel in analyzing different themes. CONCLUSIONS: Social media platforms such as X can serve as a valuable tool for analyzing real-time discourse and exploring public perceptions, opinions, and behaviors related to maternal substance use, particularly, harmful opioid use in the perinatal period. More health promotion strategies can be carried out on social media platforms to provide educational support for the OUD perinatal population.
Digital Object Identifier (DOI)
Publication Info
Published in JMIR Pediatrics and Parenting, Volume 7, 2024, pages e52735-.
APA Citation
Wu, D., Ng, M., Gupta, S. S., Raynor, P., Tao, Y., Ren, Y., Li, X., Bankole Olatosi, Hung, P., Qiao, S., Zhang, J., Fillo, J., Guille, C., & Eichelberger, K. (2023). Disclosure Patterns of Opioid Use Disorders in Perinatal Care During the Opioid Epidemic on X from 2019 to 2021: Thematic Analysis (Preprint). JMIR Pediatrics and Parenting, 7.https://doi.org/10.2196/52735
Rights
©Dezhi Wu, Minnie Ng, Saborny Sen Gupta, Phyllis Raynor, Youyou Tao, Yang Ren, Peiyin Hung, Shan Qiao, Jiajia Zhang, Jennifer Fillo, Xiaoming Li, Constance Guille, Kacey Eichelberger, Bankole Olatosi. Originally published in JMIR Pediatrics and Parenting (https://pediatrics.jmir.org), 07.10.2024. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Pediatrics and Parenting, is properly cited. The complete bibliographic information, a link to the original publication on https://pediatrics.jmir.org, as well as this copyright and license information must be included.