关于高血压控制的患者-医生聊天交流的语言复杂性:集群随机PIA研究的结果
Simon-Konstantin Thiem1, Lucas Küppers1, Benjamin Aretz1
1Institute of General Practice and Family Medicine, University Hospital Bonn, Venusberg-Campus 1, Bonn, 53127, Germany.
BMC medicine
|March 25, 2025
概括
在高血压护理中的患者提供者聊天使用了简单的语言,改善了血压控制. 增加消息频率与更好的结果相关,支持数字通信工具.
科学领域:
- 医疗信息学 医疗信息学
- 卫生沟通 卫生沟通
- 临床高血压管理管理
背景情况:
- 医疗保健中的高语言复杂性阻碍了患者的理解和医疗结果.
- 数字通信工具,如安全的消息平台,可以促进患者与医疗服务提供者的互动.
- 在高血压管理中,患者与医疗服务提供者聊天的语言复杂性仍未得到充分研究.
研究的目的:
- 在PIA研究中分析PIA研究中的患者-提供者聊天中的语言复杂性和沟通模式.
- 研究信息特征与高血压控制之间的关系.
- 评估数字通信在慢性疾病管理中的有效性.
主要方法:
- 来自集群随机对照PIA研究的聊天数据分析,该研究涉及848名高血压患者.
- 使用Flesch索引测量语言复杂性 (从"难"到"非常简单"的七个级别).
- 评估通信特征,包括消息频率,长度,响应时间和内容.
主要成果:
- 交换了4200多条消息,其中78%是非自动化患者或实践通信.
- 患者和医生都主要使用简单或非常简单的语言 (90.5%).
- 增加的消息频率与改善的血压控制显著相关 (p < 0.001).
结论:
- 在这个数字平台上,医生和患者之间的沟通表现出了非常低的语言复杂性.
- 这些发现支持整合数字通信工具来管理慢性疾病,如高血压.
- 通过数字道增强的沟通频率对患者的治疗结果产生了积极的影响.
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