Social media language of healthcare super-utilizers.

Social media language of healthcare super-utilizers.
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DOI:
10.1038/s41746-021-00419-2
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发表时间:
2021-03-25
影响因子:
15.2
通讯作者:
Merchant RM
Merchant RM
中科院分区:
医学1区
文献类型:
--
作者:
Guntuku SC;Klinger EV;McCalpin HJ;Ungar LH;Asch DA;Merchant RM

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了解医疗保健超级使用者的在线行为可以更好地识别体验,从而为干预提供信息。在这项回顾性病例对照研究中,我们分析了患者的社交媒体帖子,以更好地了解他们在网上表达的日常行为和情绪。患者包括那些在城市学术急诊科接受治疗的人,他们同意分享他们的Facebook历史帖子和电子健康记录。“超级利用者”被定义为一年内到急诊科(ED)就诊超过6次的患者。我们使用基于年龄、性别和Charlson合并症指数的倾向评分来比较超级利用者和匹配组的帖子。超级利用者更有可能发布关于困惑和消极情绪的帖子。65, 95% ci -[。]38岁。[95]),自我反思(D = .63]。35岁。[91]),回避(D =。62(。34岁。[90]),咒骂(D =。52(。24日。[79]),睡眠(D =。60(。32岁。[88]),寻求帮助和关注(D =。61(。33岁。[89]),心身症状,(D =。49(。22日。[77])、自我代理(D =。56(。29日。[85]),愤怒(D =。51岁,(。24日。[79]),应力(D =。46岁(。19日。[73]),孤独表达式(D =。44岁的(。17点)。考虑到超级使用者在社交媒体上的高度参与度,本研究的见解可能会以在线社会支持干预措施补充线下社区护理服务。
An understanding of healthcare super-utilizers’ online behaviors could better identify experiences to inform interventions. In this retrospective case-control study, we analyzed patients’ social media posts to better understand their day-to-day behaviors and emotions expressed online. Patients included those receiving care in an urban academic emergency department who consented to share access to their historical Facebook posts and electronic health records. Super-utilizers were defined as patients with more than six visits to the Emergency Department (ED) in a year. We compared posts by super-utilizers with a matched group using propensity scoring based on age, gender and Charlson comorbidity index. Super-utilizers were more likely to post about confusion and negativity (D = .65, 95% CI-[.38, .95]), self-reflection (D = .63 [.35, .91]), avoidance (D = .62 [.34, .90]), swearing (D = .52 [.24, .79]), sleep (D = .60 [.32, .88]), seeking help and attention (D = .61 [.33, .89]), psychosomatic symptoms, (D = .49 [.22, .77]), self-agency (D = .56 [.29, .85]), anger (D = .51, [.24, .79]), stress (D = .46, [.19, .73]), and lonely expressions (D = .44, [.17, .71]). Insights from this study can potentially supplement offline community care services with online social support interventions considering the high engagement of super-utilizers on social media.
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