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在社交媒体上探测公众对抗抑郁药物的看法:混合方法研究
Jianfeng Zhu1, Xinyu Zhang2, Ruoming Jin1
1Department of Computer Science, Kent State University, 800 E Summit St, Kent, OH, 44242, United States, 1 3306729980.
JMIR formative research
|February 26, 2025
概括
患者使用抗抑郁药的经验显示出严重的恐惧和悲伤,影响了坚持. 了解这些情绪是开发个性化,以患者为中心的心理健康治疗的关键.
科学领域:
- 精神病学和心理健康 精神病学和心理健康
- 计算社会科学 计算社会科学
- 患者报告的结果
背景情况:
- 抗抑郁药对重大抑郁症 (MDD) 管理至关重要.
- 患者的不坚持是个重大挑战,往往源于副作用的担忧,依赖的恐惧,以及对疗效的怀疑.
- 以患者为中心的护理,优先考虑个体需求,对于改善治疗坚持和满意度至关重要.
研究的目的:
- 为了深入探索患者对抗抑郁药的体验.
- 为医疗保健提供者,家庭和社区提供可操作的见解,以创建个性化的治疗策略.
- 通过以患者为中心的综合护理,提高患者的满意度和坚持.
主要方法:
- 通过使用自然语言处理 (NLP) 和大语言模型 (LLM) 来分析AskaPatient和Reddit的患者讨论.
- 情感分析,情感检测,人格分析和话题建模的应用.
- 检查患者使用抗抑郁药的经验中的人口差异.
主要成果:
- 大多数讨论 (59.3%) 显示中立情绪,显著的负面情绪 (38.4%).
- 恐惧 (44.66%) 和悲伤 (34.49%) 是被检测到的主要情绪.
- 主题是"心理健康和人际关系" (11.69%),不坚持的讨论主要由恐惧和悲伤主导.
结论:
- 对公众对抗抑郁药物的看法进行心理洞察至关重要.
- 研究结果支持开发量身定制的,以患者为中心的治疗方法.
- 通过将治疗与个体患者需求相协调,可以实现更强的同情心和护理效率.
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