国家卫生服务的数据驱动探索 谈话疗法 使用过程挖掘的护理途径:回顾性队列研究
Elizabeth Yardley1, Alice Davis2, Chris Eldridge2
1School of Management, University of Bath, Bath, United Kingdom.
JMIR mental health
|May 21, 2024
概括
过程挖掘揭示了NHS谈话疗法中的患者流动,识别了瓶,并显示了阶段性护理是不常见的. 这种数据驱动的方法可以改善心理健康服务提供和患者的结果.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 在医疗保健中的数据科学.
- 心理健康系统分析 心理健康系统分析
背景情况:
- 国家卫生服务 (NHS) 谈话疗法计划利用阶段性护理来治疗常见的心理健康问题.
- 服务提供商寻求优化患者流动,因为资源限制和绩效标准.
- 在不同地点的护理交付和结果的变化需要改进的评估方法.
研究的目的:
- 展示过程挖掘的价值和实用性,用于分析NHS谈话疗法护理途径.
- 利用电子健康记录进行数据驱动的心理健康服务提供评估.
主要方法:
- 两年来,从两个NHS谈话疗法网站分析了匿名的个人患者推记录.
- 应用过程挖掘技术来可视化患者流动并确定常见的护理途径路线.
主要成果:
- 过程挖掘可视化了患者的旅程,突出了等待时间和瓶,例如高强度认知行为治疗 (CBT) 的延迟.
- 从等待名单出院的患者比开始治疗的患者有更长的等待时间.
- 阶段性护理不常见,与阶段性护理途径相比,接受直接高强度治疗的患者数量是阶段性护理途径的五倍以上.
结论:
- 过程挖掘有效地评估护理途径的表现,并确定心理健康服务中的系统性问题.
- 将过程挖掘集成到常规监控中可以揭示服务改进的机会,并为能力规划提供信息.
- 这种方法提供了有价值的见解,了解卫生系统的流程如何影响患者的结果.
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