识别和分类的主要特征,以分析不合理的临床变异
Apollo O McOwiti1, Wei Tao2, Cui Tao1
1McWilliams School of Biomedical Informatics, The University of Texas Health Center at Houston, Houston, USA.
Journal of evaluation in clinical practice
|November 7, 2023
概括
研究人员确定了28个分析特征来分析不合理的临床变异 (UCV). 该分类为混器提供了指导方针,简化了UCV分析并减少了特征工程时间.
科学领域:
- 医疗保健分析 医疗保健分析
- 临床实践变化 临床实践变化
- 医疗保健服务研究 医疗服务研究
背景情况:
- 由于复杂的分析,不合理的临床变异 (UCV) 在医疗保健系统中带来了挑战.
- 现有的研究缺乏标准化指导方针来识别和分析UCV.
- 系统审查对于合成关于UCV分析特征的知识至关重要.
研究的目的:
- 系统地审查有关UCV分析的文献.
- 为了识别和分类研究人员用来检测UCV的分析特征.
- 为UCV分析提供指导方针.
主要方法:
- 在四个数据库 (Medline,科学网,EMBASE,CINAHL) 中使用PRISMA指南进行系统的文献搜索.
- 包括在成人群体中UCV分析的原始英语研究文章,主要是回顾性队列研究.
- 排除仅关注地理差异或小面积分析方法的研究.
- 使用ASReview Lab软件和参考文献搜索进行文章选的协助.
主要成果:
- 总共有499篇文章被确定,其中46篇被审查.
- 确定和分类了UCV分析的28个主要分析特征.
- 特征被分类为与患者相关的因素 (社会人口统计学,临床特征,偏好) 和当地医疗保健背景.
- 17个特征属于七个子类别的患者相关类别,11个特征属于两个子类别的本地背景.
结论:
- 已经建立了用于UCV分析的28个分析特征的综合清单.
- 已识别的特征及其分类为UCV分析中管理混因素提供了指导方针.
- 这种分类大大减少了UCV研究中特征工程所需的时间和精力.
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