不同电子病历组件在瑞士初级保健数据库中慢性疾病识别的重要性:一个横截面研究
Rahel Meier1, Thomas Grischott1, Yael Rachamin1
1Institute of Primary Care, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Swiss medical weekly
|October 19, 2023
概括
药物数据是初级保健电子病历中识别慢性疾病的关键. 然而,不同数据类型的重要性因病情而异,影响流行率估计.
科学领域:
- 初级保健研究研究初级保健研究
- 医疗信息学 医疗信息学
- 流行病学 流行病学
背景情况:
- 初级保健数据库捕获常规电子医疗记录 (EMR).
- 识别慢性疾病往往需要整合多个EMR组件 (EMR-Cs).
- 了解EMR-C的实用性对于准确的疾病监测至关重要.
研究的目的:
- 在瑞士初级保健数据库中估计所选慢性病的患病率.
- 评估不同EMR-Cs对识别慢性疾病的重要性.
- 评估EMR-C选择对流行率估计的影响.
主要方法:
- 来自瑞士FIRE数据库的120608名患者 (2019年) 的横截面研究.
- 使用药物,临床/实验室参数以及遭遇数据的原因来定义慢性疾病.
- 对49种慢性疾病的患病率和EMR-C重要性进行了计算.
主要成果:
- 估计的患病率:高血压 (27.5%),脂质失调 (13.5%),糖尿病 (6.6%). 在美国,高血压是最常见的疾病.
- 药物数据确定了87.1%的病例,通常是唯一的 (65.4%).
- 临床参数对于诸如CKD和肥胖等疾病至关重要;癌症和心脏病的遭遇原因.
结论:
- 药物数据是EMR-C对整体慢性疾病鉴定最重要的数据.
- 根据特定的慢性疾病,EMR-Cs的实用性大大不同.
- 基于EMR-Cs的疾病定义具有影响流行率准确性的优缺点.
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