arXiv:2410.01633cs.CYcs.CL2024-10被引 1

分析社交媒体用户对丁丙诺啡治疗阿片成瘾的需求,发现三大信息缺口。

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product

  • 构建主题框架,从1.5万条Reddit帖子中提取用户真实需求
  • 40.3%的帖子聚焦单一主题,最常见的是康复期身心反应与用药困惑
  • 揭示患者自疗行为和同伴建议中的误区,助改进医疗沟通

背景:丁丙诺啡是美国食品药品监督管理局批准的阿片类药物使用障碍(OUD)治疗药物之一。尽管广泛应用,但用户在如Reddit等社交平台常表达多种关于丁丙诺啡治疗的信息需求。本研究提出一种基于主题的框架,用于整理和分析大规模社交媒体数据,以刻画自我报告的治疗信息需求(TINs)。方法:从r/Suboxone社区收集15,253条帖子,依据标准流程识别并定义五个核心主题,随后对6,000条帖子进行编码,每条可关联一至三个主题。通过分析各组样本,确定每个主题下的高频子主题。结果:在6,000条帖子中,40.3%含单一主题,36%含两个主题,13.9%含三个主题。各主题中最常见的子主题包括:康复期间的心理与生理反应、获取丁丙诺啡的复杂性,以及用药方式、减量策略和不同恢复阶段物质使用方面的显著信息空白。此外,患者自疗策略与同伴建议反映出重要洞见,也暴露潜在误解。结论:本框架所得结果可为患者教育、医患沟通提供依据,支持设计干预措施以纠正治疗误解与谣言,并为未来研究生成假设。

原文摘要 · Abstract (English)

Background: One of the key FDA-approved medications for Opioid Use Disorder (OUD) is buprenorphine. Despite its popularity, individuals often report various information needs regarding buprenorphine treatment on social media platforms like Reddit. However, the key challenge is to characterize these needs. In this study, we propose a theme-based framework to curate and analyze large-scale data from social media to characterize self-reported treatment information needs (TINs). Methods: We collected 15,253 posts from r/Suboxone, one of the largest Reddit sub-community for buprenorphine products. Following the standard protocol, we first identified and defined five main themes from the data and then coded 6,000 posts based on these themes, where one post can be labeled with applicable one to three themes. Finally, we determined the most frequently appearing sub-themes (topics) for each theme by analyzing samples from each group. Results: Among the 6,000 posts, 40.3% contained a single theme, 36% two themes, and 13.9% three themes. The most frequent topics for each theme or theme combination came with several key findings - prevalent reporting of psychological and physical effects during recovery, complexities in accessing buprenorphine, and significant information gaps regarding medication administration, tapering, and usage of substances during different stages of recovery. Moreover, self-treatment strategies and peer-driven advice reveal valuable insights and potential misconceptions. Conclusions: The findings obtained using our proposed framework can inform better patient education and patient-provider communication, design systematic interventions to address treatment-related misconceptions and rumors, and streamline the generation of hypotheses for future research.

心理健康社交媒体分析药物治疗信息需求

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