#抗治疗抑郁症:对关于难以治疗的抑郁症的推文进行定性内容分析
Amelia Talbot1, Tori Ford1, Sara Ryan2
1Nuffield Department of Primary Health Care Sciences, Radcliffe Observatory Quarter, University of Oxford, Oxford, UK.
概括
患有耐治疗抑郁症 (TRD) 的人使用Twitter建立社区并分享经验. 然而,从全科医生 (GPs) 那里感觉到缺乏支持可能会导致分享非基于证据的建议.
科学领域:
- 社交媒体和心理健康
- 患者体验研究研究的研究.
- 数字健康社区 数字健康社区
背景情况:
- 治疗耐药性抑郁症 (TRD) 影响了大量的初级保健患者.
- 一般医生 (GPs) 经常管理TRD,因为二级护理的转诊时间很长.
- 像Twitter这样的在线平台越来越多地被抑郁症患者用于社区和症状共享.
研究的目的:
- 在Twitter社区中探索患者对TRD的体验.
- 了解Twitter在初级保健中管理TRD中的作用.
- 为TRD护理提供以患者为导向的建议.
主要方法:
- 手动收集和浏览器扩展用于收集2021年6月在英国的推特.
- 通过对415条推特进行传统的内容分析.
- 解释性分析,以了解Twitter对TRD患者的重要性.
主要成果:
- 推文分为自我诊断,症状,支持,小胜利和条件专家.
- 推特作为TRD患者的社区,培养了共同的疾病身份.
- 患者认为缺乏有效的全科医生护理,导致他们自我认定为专家并分享建议,包括潜在有害的非证据基础建议.
结论:
- 在TRD推特社区提供了好处,但也存在风险,由于共享的非证据基础的信息.
- 在全科医生知识和支持方面的感知差距有助于患者在线寻求和分享替代建议.
- 需要进一步的研究,以将在线患者体验纳入TRD的初级保健.
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