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2019年至2021年阿片类药物流行期间围产期护理中阿片类药物使用障碍的披露模式:主题分析

Disclosure Patterns of Opioid Use Disorders in Perinatal Care During the Opioid Epidemic on X From 2019 to 2021: Thematic Analysis.

作者信息

Wu Dezhi, Ng Minnie, Gupta Saborny Sen, Raynor Phyllis, Tao Youyou, Ren Yang, Hung Peiyin, Qiao Shan, Zhang Jiajia, Fillo Jennifer, Li Xiaoming, Guille Constance, Eichelberger Kacey, Olatosi Bankole

机构信息

Department of Integrated Information Technology, University of South Carolina, Columbia, SC, United States.

Department of Biobehavioral Health & Nursing Science, College of Nursing, University of South Carolina, Columbia, SC, United States.

出版信息

JMIR Pediatr Parent. 2024 Oct 7;7:e52735. doi: 10.2196/52735.

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.

摘要

背景

2021年,美国致命药物过量服用人数上升了14%,总计达106,699人死亡,这是由有害阿片类药物使用导致的,尤其是在围产期人群中,他们面临着与阿片类药物使用障碍(OUD)相关的更高风险。人们越来越关注孕妇和产后人群中有害阿片类药物使用不断升级所带来的影响。目前大多数关于围产期OUD的有限研究是使用传统方法进行的,如访谈和随机对照试验,以了解OUD治疗、风险因素及相关不良反应。然而,对于如何利用社交媒体数据,如X(前身为推特)来探索和识别广泛的围产期OUD趋势、披露和交流模式以及围产期OUD的公共卫生监测,我们知之甚少。

目的

目标有三个方面:第一,我们旨在识别平台X上围产期OUD讨论中的关键主题和趋势。第二,我们探索用户参与模式,包括回复和转发行为。第三,我们研究有可能简化和扩大劳动密集型人工标注工作的计算方法。

方法

我们提取了2019年5月至2021年10月阿片类药物流行期间全球X用户发布的600万条原始围产期主题推文。在进行数据清理和抽样后,我们使用了美国X用户发布的500条与围产期OUD相关的推文,通过NVivo(Lumivero)软件进行主题分析。

结果

我们的主题分析出现了七个主要主题:(1)与有害阿片类药物和其他物质使用相关的政治观点,(2)对他人物质使用的看法,(3)阿片类药物和其他物质使用的实际经历,(4)与阿片类药物和其他物质使用相关的新闻报道或论文,(5)医疗保健倡议,(6)父母物质使用对儿童健康的不良影响,以及(7)与非阿片类物质使用相关的主题。在这七个主题中,我们的用户参与度分析显示,主题4和5的平均转发数最高,主题3的平均推文回复数最高。我们还发现不同的计算方法在分析不同主题方面表现出色。

结论

像X这样的社交媒体平台可以作为一个有价值的工具,用于分析实时话语,并探索与孕产妇物质使用,特别是围产期有害阿片类药物使用相关的公众认知、观点和行为。可以在社交媒体平台上开展更多的健康促进策略,为围产期OUD人群提供教育支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/676b/11494255/917d8f838d31/pediatrics_v7i1e52735_fig1.jpg

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