定义偶然与非偶然的COVID-19住院治疗情况
Dhimitri A Nikolla1,2,3, Jonathan J Oskvarek4,3, Mark S Zocchi5,3
1Department of Internal Medicine / Emergency Medicine, Lake Erie College of Osteopathic Medicine, Erie, USA.
Cureus
|April 22, 2024
概括
一个新的电子健康记录措施准确地识别了非偶然的COVID-19住院治疗. 这种方法比使用德克萨米他或CDC标准来了解严重的COVID-19负担的当前方法更有效.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗信息学 医疗信息学
背景情况:
- COVID-19住院是严重疾病负担的关键指标.
- 欧米克朗变种增加了住院治疗和偶尔的COVID-19诊断.
- 需要基于电子健康记录 (EHR) 的低成本措施来区分偶然和非偶然的COVID-19住院治疗.
研究的目的:
- 开发和验证一个改进的基于EHR的措施,用于识别非偶然的COVID-19住院治疗.
- 将新措施的效果与现有方法进行比较.
主要方法:
- 对急诊室 (ED) 访问数据的回顾性研究 (2020年4月至2023年8月).
- 评估了美国疾病控制和预防中心 (CDC) 的诊断标准和甲的管理.
- 开发和评估基于电子健康记录的替代联合诊断方法.
主要成果:
- 首选的EHR措施将70.6%的住院治疗确定为非偶然性.
- 德克萨米他和CDC的测量结果分别只发现了46.3%和50.5%.
- 新措施捕获了非偶然的COVID-19住院病人的比例大幅增加.
结论:
- 现有的方法 (甲松,CDC标准) 可能低估了非偶然COVID-19住院治疗的真正负担.
- 开发的基于EHR的措施提供了更准确和更全面的方法.
- 这种改进的指标对于公共卫生监测和资源分配至关重要.
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