Probing Public Perceptions of Antidepressants on Social Media: Mixed Methods Study.

IF 2 Q3 HEALTH CARE SCIENCES & SERVICES JMIR Formative Research Pub Date : 2025-02-26 DOI:10.2196/62680
Jianfeng Zhu, Xinyu Zhang, Ruoming Jin, Hailong Jiang, Deric R Kenne
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Abstract

Background: Antidepressants are crucial for managing major depressive disorders; however, nonadherence remains a widespread challenge, driven by concerns over side effects, fear of dependency, and doubts about efficacy. Understanding patients' experiences is essential for improving patient-centered care and enhancing adherence, which prioritizes individual needs in treatment.

Objective: This study aims to gain a deeper understanding of patient experiences with antidepressants, providing insights that health care providers, families, and communities can develop into personalized treatment strategies. By integrating patient-centered care, these processes may improve satisfaction and adherence with antidepressants.

Methods: Data were collected from AskaPatient and Reddit, analyzed using natural language processing and large language models. Analytical techniques included sentiment analysis, emotion detection, personality profiling, and topic modeling. Furthermore, demographic variations in patient experiences were also examined to offer a comprehensive understanding of discussions around antidepressants.

Results: Sentiment and emotion analysis revealed that the majority of discussions (21,499/36,253, 59.3%) expressed neutral sentiments, with negative sentiments following closely (13,922/36,253, 38.4%). The most common emotions were fear (16,196/36,253, 44.66%) and sadness (12,507/36,253, 34.49%). The largest topic, "Mental Health and Relationships," accounted for 11.69% (3755/36,253) of the discussions, which indicated a significant focus on managing mental health conditions. Discussions around nonadherence were marked by fear, followed by sadness, while self-care discussions showed a notable trend of sadness.

Conclusions: These psychological insights into public perceptions of antidepressants provide a foundation for developing tailored, patient-centered treatment approaches that align with individual needs, enhancing both effectiveness and empathy of care.

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探索公众对社交媒体上抗抑郁药的看法:混合方法研究。
背景:抗抑郁药对治疗重度抑郁症至关重要;然而,由于对副作用的担忧、对依赖性的恐惧和对疗效的怀疑,不依从性仍然是一个广泛存在的挑战。了解患者的经历对于改善以患者为中心的护理和加强依从性至关重要,这在治疗中优先考虑个人需求。目的:本研究旨在更深入地了解患者使用抗抑郁药的经历,为医疗保健提供者、家庭和社区提供个性化治疗策略提供见解。通过整合以病人为中心的护理,这些过程可以提高对抗抑郁药的满意度和依从性。方法:从AskaPatient和Reddit网站收集数据,采用自然语言处理和大型语言模型进行分析。分析技术包括情绪分析、情感检测、个性分析和主题建模。此外,还研究了患者经历的人口统计学差异,以全面了解围绕抗抑郁药的讨论。结果:情绪和情绪分析显示,大多数讨论表达的是中性情绪(21499 / 36253,59.3%),其次是负面情绪(13922 / 36253,38.4%)。最常见的情绪是恐惧(16196 / 36253,44.66%)和悲伤(12507 / 36253,34.49%)。最大的主题是“心理健康和关系”,占讨论的11.69%(3755/36,253),这表明人们非常关注管理心理健康状况。关于不遵守规定的讨论以恐惧为特征,其次是悲伤,而关于自我保健的讨论则显示出明显的悲伤趋势。结论:这些关于公众对抗抑郁药认知的心理学见解为开发量身定制的、以患者为中心的治疗方法提供了基础,这些治疗方法与个人需求相一致,提高了治疗的有效性和同理心。
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来源期刊
JMIR Formative Research
JMIR Formative Research Medicine-Medicine (miscellaneous)
CiteScore
2.70
自引率
9.10%
发文量
579
审稿时长
12 weeks
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