德尔菲法
临床试验
医学
结果(博弈论)
集合(抽象数据类型)
焦虑
芯(光纤)
物理疗法
生活质量(医疗保健)
德尔菲
成果研究
患者报告的结果
萧条(经济学)
梅德林
评定量表
随机对照试验
医疗保健
利益相关者
心理健康
卫生服务研究
质量(理念)
度量(数据仓库)
物理医学与康复
数据收集
替代医学
缺少数据
作者
Bo Pang,keyi wang,Qingquan Liu,Zhongde Zhang,Yan Shi,Jiansheng Li,Hongchun Zhang,Chang-Quan Ling,candong li,Jian Wang,Zegeng Li,Wensheng Qi,Wei Zhang,Zheng Xue,Zhongqi Yang,Chen Yao,Wei-An Yuan,Yanming Xie,Jianyuan Tang,Rui Gao
摘要
ABSTRACT Objective To develop a core outcome set (COS) for clinical trials on post COVID‐19 condition (PCC), that is, what, when, and how to measure PCC. Method A comprehensive collection of outcomes (including their measurement methods and phases) was launched via literature review and clinician and patient surveys. Two rounds of Delphi surveys were conducted under the predefined criteria for rating, followed by a consensus meeting to finalize the COS for PCC (COS‐PCC). Results Fifty‐two outcomes within 7 categories and 206 measurement methods were identified. Sixty participants from five stakeholder groups completed the first round of the Delphi survey and 41 the second. Consensus was reached among 36 representatives on four domains of respiratory, physical, neuropsychological, and health conditions, including nine core outcomes and their respective measurement methods of priority: dyspnea (modified Medical Research Council scale), cough (Leicester Cough Questionnaire), exercise capacity (6‐min walk test), fatigue (Fatigue Severity Scale), pain (Numerical Rating Scale), sleeping disturbance (Pittsburgh Sleep Quality Index), anxiety (Generalized Anxiety Disorder Scale‐7), depression (Patient Health Questionnaire‐9), and health status (36‐item Short Form Health Survey); 16 optional measurement methods achieved consensus for supplement. Measuring phases of each core outcome were prioritized by importance through short and long terms of PCC. Conclusions The COS‐PCC highlights the key PCC concerns and provides an essential outcome set for PCC assessment in clinical trials and evidence synthesis. With improving the understanding of PCC and accumulating research evidence, the COS‐PCC needs to be continuously updated and improved in practice.
科研通智能强力驱动
Strongly Powered by AbleSci AI