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通过多机构修改的德尔菲调查,为医院医生开发抗生素指标

Allison Bond^1,2, Sandra Oreper¹, Priya Prasad¹

¹Division of Hospital Medicine, University of California, San Francisco, San Francisco, California, USA.

Journal of hospital medicine

|May 3, 2024

概括

研究人员开发了16个关键指标,用于自动化抗菌素处方得分卡,以改善医院的抗生素使用. 这些指标重点关注降级,遵守指南和治疗持续时间,帮助抗菌药物管理工作.

科学领域:

改善医疗保健质量改善医疗保健质量
抗微生物药物管理委员会
临床信息学临床信息学

背景情况:

优化抗生素处方对于打击抗菌素耐药性和减少对患者的伤害至关重要.
基于电子健康记录 (EHR) 的得分卡可以提高临床医生遵守基于证据的抗生素使用指南.

研究的目的:

识别和定义可操作的,相关的抗菌素处方指标,这些指标可以自动从EHR系统中提取.
为评估医院医疗中的抗生素处方质量制定基于共识的得分表.

主要方法:

一种经过修改的Delphi共识建设方法,涉及两个调查代.
在全国10个学术医疗中心向医院医学医生传播电子调查.
整合了定性反以改进拟议的指标.

主要成果:

经过两轮调查,分别有28名和16名参与者,为自动化得分卡确定了16个共识指标.
医院医生确定的关键指标包括适当的抗生素降级,指南一致的选择和最佳治疗持续时间.
开发的指标旨在从电子健康记录中自动提取数据,从而为临床医生提供反.

结论:

已经建立了一个基于共识的16个指标集,用于自动化抗菌素处方得分卡.
这些指标为医院医生提供可操作的反,支持改善抗生素处方实践和抗菌药物管理.
绩效表框架可根据已识别的质量差距适应在其他机构实施.

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