在ICU试验中的核心社会人口统计数据变量 (CoDe-IT):使用Delphi共识过程生成核心数据变量的协议
Karla D Krewulak1, Fatima Sheikh2, Alya Heirali1
1Department of Critical Care Medicine, University of Calgary and Alberta Health Services, Calgary, Alberta, Canada.
BMJ open
|July 23, 2024
概括
社会人口统计学因素显著影响严重病情严重的成年人.
科学领域:
- 关键护理医学 关键护理医学
- 医疗服务研究 医疗服务研究
- 健康的社会决定因素
背景情况:
- 社会人口统计学变量,如性别认同和民族种族群体,直接和间接地影响严重疾病成年人的健康结果.
- 在重症监护研究中,对这些变量进行不一致和不足的数据收集阻碍了有效的护理和研究设计.
- 在重症监护研究中,公认需要标准化的社会人口统计测量.
研究的目的:
- 为健康的社会决定因素开发一套核心数据变量 (CoDaV),以适应涉及重病成年人的研究.
- 建立关于改善重症监护研究数据收集的基本社会人口统计措施的共识.
- 通过提供标准化数据收集建议,指导未来的研究和临床实践.
主要方法:
- 范围审查将确定在修改后的Delphi过程中包含的潜在社会人口统计指标.
- 包括患者,家庭,临床医生和研究人员在内的知识用户将参加共识调查.
- 最后一次会议将完善CoDaV,确定数据收集的细节性,并计划传播.
主要成果:
- 这项研究旨在为关键护理研究生成基于共识的核心社会人口统计变量列表.
- 通过专家和利益相关者的意见,将确定具体措施和推的数据收集方法.
- 开发的CoDaV将解决目前在重症监护中标准化社会人口统计数据的缺口.
结论:
- 拟议的核心数据变量 (CoDaV) 将在重症监护研究中标准化社会人口统计信息的收集.
- 实施CoDaV将提高对重症成人健康结果的研究质量和可比性.
- 这一倡议将改善对重症监护机构健康的社会决定因素的理解和处理.
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