德尔菲方法应用于健康的社会驱动因素的共同数据元素的开发:系统的范围审查
Yulia A Levites Strekalova1,2, July D Nelson1, Haley M Weber1
1Department of Health Services Research, Management, and Policy, College of Public Health and Health Professions, University of Florida, 1225 Center Drive, Gainesville, FL 32610, USA.
为协作数据科学开发共同数据元素 (CDE) 需要多样化的投入. 这次审查发现,虽然包括专家,但健康消费者往往缺少共识发展,影响健康数据纳入的社会驱动因素.
科学领域:
- 医疗信息学 医疗信息学
- 数据科学数据科学数据科学
- 公共卫生 公共卫生
背景情况:
- 标准化,可互操作的数据对于协作数据科学至关重要.
- 需要共识发展方法来建立共同的数据元素 (CDE).
- 综合多样化的利益相关者观点对于强大的CDE套件至关重要,特别是对于健康的社会驱动因素 (SDoH).
研究的目的:
- 系统地审查有关在基于共识的 CDE 集中纳入各种利益相关者和 SDoH 变量的文献.
- 确定CDE开发中的共同数据元素来源和利益相关方参与方法.
主要方法:
- 来自多个数据库 (PubMed,Embase,CINAHL,WoS MEDLINE,PsycINFO) 的文献的系统范围审查.
- 提取有关利益相关者团体 (特别是Delphi参与者) 的数据,CDE设置源,并包含特定领域的SDoH数据.
- 对22项研究的分析包括了最初384个匹配的研究.
主要成果:
- 所有审查的研究都涉及医疗保健专家;只有27%涉及健康消费者.
- 文献评论和专家意见是CDE套件的主要来源.
- 虽然年龄和性别被普遍纳入,但SDoH领域仅在18%的研究中存在,32%完全省略了人口统计学变量.
结论:
- 德尔菲技术有助于在SDoH数据元素上达成专家共识.
- 未来的CDE开发应该优先考虑健康消费者的纳入,以提高数据的相关性和完整性.
- 改善CDE集中的SDoH数据集成对于全面的健康数据科学至关重要.
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