索赔数据中的过敏反应诊断的积极预测值:台湾的一项多机构研究
Chun Chang1,2, Shu-Chen Liao3,4, Shih-Chieh Shao5,6
1Department of Emergency Medicine, Keelung Chang Gung Memorial Hospital, 222 Maijin Rd, Keelung, Taiwan.
Journal of medical systems
|September 11, 2023
概括
在医疗保健数据库中准确识别过敏反应至关重要. 使用特定的过敏症诊断代码 (ICD-10-CM) 产生了高的积极预测值 (PPV),与更广泛的过敏事件代码不同.
科学领域:
- 过敏反应研究的研究.
- 医疗保健数据库分析分析
- 流行病学 流行病学
背景情况:
- 现实世界数据 (RWD) 对于理解过敏反应流行病学至关重要.
- 使用医疗保健数据库中的诊断代码识别过敏症病例的准确性需要进一步调查.
研究的目的:
- 评估不同国际疾病分类第十版临床修改 (ICD-10-CM) 基于代码的定义的积极预测值 (PPV),用于识别医疗保健索赔数据中的过敏反应.
主要方法:
- 一项横截面研究分析了来自台湾大型医疗保健系统 (2017-2021) 的索赔数据.
- 患者被分为两组:第一组 (过敏症ICD-10-CM代码) 和第二组 (严重过敏/药物不良事件代码与急性过敏修饰剂).
- 随机抽样20%的病例接受了医生对电子病历的审查,以确定真正的过敏反应诊断和计算PPV.
主要成果:
- 使用特定的ICD-10-CM过敏反应代码 (第一组) 识别过敏反应的PPV为79.4% (135/170).
- 使用更广泛的过敏事件代码与修饰剂 (组2) 识别过敏反应的PPV显著较低,为17.9% (47/263).
结论:
- 专门针对过敏反应的ICD-10-CM代码在医疗保健数据库中显示出可接受的病例识别准确性.
- 对于严重的过敏或药物不良事件的更广泛的代码,即使是急性过敏修饰剂,对于准确识别过敏症病例也是不可靠的.
- 这些发现为未来的过敏反应研究提供了一个参考,利用现实世界医疗保健数据库.
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