通过自动化短信程序识别的放电后需求:一种混合方法研究
Aiden Ahn1, Anna U Morgan1,2, Robert E Burke1,2,3
1Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Journal of hospital medicine
|July 25, 2024
概括
自动化短信有效地识别了医院出院后的患者需求,主要关注症状,后续护理协调和30天内药物管理. 这种方法为过渡期护理支持提供了一个有效的模型.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 数字健康数字健康
- 过渡期护理是指过渡期护理.
背景情况:
- 短信是住院后常见的患者参与工具.
- 了解患者需求和这些系统中的程序利用是有限的.
研究的目的:
- 描述在30天的自动化短信程序中发现的患者需求的类型和时间.
- 在过渡性护理框架内分析患者表达的需求.
主要方法:
- 混合方法研究分析来自自动短信程序的患者需求 (2021年1月至8月).
- 由两名审稿人进行的定向内容分析,对需求进行分类.
- 描述与释放相关的需求的频率和时间.
主要成果:
- 招募了405名患者;44%的人表示需要.
- 最常见的需求:症状 (26.8%),后续护理协调 (20.4%),药物问题 (15.7%).
- 排放后平均10.8天出现需求,按类别没有显著的时间差异.
结论:
- 自动短信识别了关键的初级保健和护理相关的患者需求.
- 这个程序模型有效地支持卫生系统的过渡.
- 这些发现可以指导未来的过渡性护理技术开发.
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