为加拿大的长期COVID国家患者登记处开发最低数据集:基于Delphi共识的研究
Kathrina Mazurik1, Adelaide Amah2, Donna Ioana Dumitrescu3,4
1University of Saskatchewan, Saskatoon, Saskatchewan, Canada kathrina.mazurik@usask.ca.
BMJ open
|December 3, 2025
概括
研究人员为加拿大患者登记处开发了一个长COVID最低数据集. 该数据集包括48个项目,重点关注疲劳和认知问题等症状,以及生活质量指标.
科学领域:
- 公共卫生 公共卫生
- 医疗保健服务研究 医疗服务研究
- 患者登记册 患者登记册
背景情况:
- 长期的COVID是一个复杂的,多系统的健康挑战.
- 需要对长期COVID患者进行标准化数据收集.
- 国家患者登记册对于了解和管理长期COVID至关重要.
研究的目的:
- 为加拿大国家长期COVID患者登记处开发一个全面的最低数据集.
- 建立对长期COVID数据收集的必要调查项目的共识.
主要方法:
- 采用了经过修改的Delphi流程,涉及三轮在线调查.
- 一个由52名专家组成的多元化小组,包括患者,护理人员,临床医生和研究人员,参加了会议.
- 现有文献的环境扫描为初始调查项目开发提供了信息.
主要成果:
- 最初的243个调查元素通过共识建设轮进行了缩小.
- 33个核心调查元素达成共识.
- 最终的长期COVID最低数据集包括48个项目.
结论:
- 在收集关键长期COVID症状的数据方面存在广泛的共识,包括疲劳,炼后的不适,心血管,呼吸和认知问题.
- 该数据集强调了生活质量指标的重要性.
- 显然需要收集关于长期COVID患者护理利用,质量和获取数据.
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