长期COVID症状的综合:基于证据的标准化映射研究与奥马哈系统
Yaewon Seo1, Timothy Le2, Stephanie Georgoudiou3
1College of Nursing and Health Innovation, University of Texas, Arlington Texas, USA yaewon.seo@uta.edu.
Research and theory for nursing practice
|June 28, 2023
概括
这项研究使用奥马哈系统对长期COVID症状进行了标准化,为更好的患者评估和研究创建了一个检查清单. 这有助于追踪长期COVID幸存者的症状解决和干预效果.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生 公共卫生
- 临床研究 临床研究
背景情况:
- 长期COVID为幸存者带来了显著的症状负担,影响了个人福祉和社会资源.
- 奥马哈系统为健康数据的记录和分析提供了一个标准化的框架.
- 非常需要一个标准化的症状检查清单,以适应长期COVID人口.
研究的目的:
- 从现有文献中识别长期COVID症状.
- 将这些已识别的症状映射到奥马哈系统的标志和症状术语中.
- 为长期COVID开发一个标准化,基于证据的症状检查清单.
主要方法:
- 从13个文献来源系统识别长期COVID症状.
- 专家达成共识的方法,将本地症状映射到奥马哈系统的术语中.
- 映射的标准包括一对一 (准确) 或部分 (类似) 匹配.
主要成果:
- 合成了217个本地长期COVID症状,将它们映射到23个问题中的74个标准化迹象/症状.
- 达到了很高的匹配度:97.3%在问题层面和90.5%在标志/症状层面.
- 制作了长期COVID的标志/症状的免复制和标准化列表.
结论:
- 这项研究代表了创建长期COVID的基于证据的症状检查清单的基本步骤.
- 开发的检查清单可以在临床实践和研究中用于评估和干预计划.
- 促进了症状缓解的纵向跟踪和评估长期COVID患者的干预有效性.
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