PDF(Pubmed)
Abstract：
BACKGROUND: Sociodemographic variables influence health outcomes, either directly (ie, gender identity) or indirectly (eg, structural/systemic racism based on ethnoracial group). Identification of how sociodemographic variables can impact the health of critically ill adults is important to guide care and research design for this population. However, despite the growing recognition of the importance of collecting sociodemographic measures that influence health outcomes, insufficient and inconsistent data collection of sociodemographic variables persists in critical care studies. We aim to develop a set of core data variables (CoDaV) for social determinants of health specific to studies involving critically ill adults.
METHODS: We will conduct a scoping review to generate a list of possible sociodemographic measures to be used for round 1 of the modified Delphi processes. We will engage relevant knowledge users (previous intensive care unit patients and family members, critical care researchers, critical care clinicians and research co-ordinators) to participate in the modified Delphi consensus survey to identify the CoDaV. A final consensus meeting will be held with knowledge user representatives to discuss the final CoDaV, how each sociodemographic variable will be collected (eg, level of granularity) and how to disseminate the CoDaV for use in critical care studies.
BACKGROUND: The University of Calgary conjoint health research ethics board has approved this study protocol (REB22-1648).
METHODS: We will conduct a scoping review to generate a list of possible sociodemographic measures to be used for round 1 of the modified Delphi processes. We will engage relevant knowledge users (previous intensive care unit patients and family members, critical care researchers, critical care clinicians and research co-ordinators) to participate in the modified Delphi consensus survey to identify the CoDaV. A final consensus meeting will be held with knowledge user representatives to discuss the final CoDaV, how each sociodemographic variable will be collected (eg, level of granularity) and how to disseminate the CoDaV for use in critical care studies.
BACKGROUND: The University of Calgary conjoint health research ethics board has approved this study protocol (REB22-1648).
摘要：
背景：社会人口统计学变量会影响健康结果，要么直接(即，性别认同)或间接(例如，基于种族群体的结构/系统种族主义)。确定社会人口统计学变量如何影响危重病成年人的健康对于指导该人群的护理和研究设计非常重要。然而,尽管人们越来越认识到收集影响健康结果的社会人口统计学指标的重要性，在重症监护研究中,社会人口统计学变量的数据收集不足且不一致.我们的目标是开发一组核心数据变量（CoDaV），用于特定于涉及危重病成年人的研究的健康社会决定因素。
方法：我们将进行范围审查，以生成将用于第1轮修改的Delphi过程的可能的社会人口统计学指标列表。我们将聘请相关知识使用者(以前的重症监护病房患者和家庭成员，重症监护研究人员,重症监护临床医生和研究协调员）参加修改后的Delphi共识调查，以确定CoDaV。将与知识用户代表举行最终共识会议，讨论最终的CoDaV，如何收集每个社会人口统计学变量(例如，粒度水平)以及如何传播CoDaV以用于重症监护研究。
背景：卡尔加里大学联合健康研究伦理委员会已批准该研究方案（REB22-1648）。
方法：我们将进行范围审查，以生成将用于第1轮修改的Delphi过程的可能的社会人口统计学指标列表。我们将聘请相关知识使用者(以前的重症监护病房患者和家庭成员，重症监护研究人员,重症监护临床医生和研究协调员）参加修改后的Delphi共识调查，以确定CoDaV。将与知识用户代表举行最终共识会议，讨论最终的CoDaV，如何收集每个社会人口统计学变量(例如，粒度水平)以及如何传播CoDaV以用于重症监护研究。
背景：卡尔加里大学联合健康研究伦理委员会已批准该研究方案（REB22-1648）。
