Prevalence and Characterization of Yoga Mentions in the Electronic Health Record
Prevalence and Characterization of Yoga Mentions in the Electronic Health Record
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DOI：
10.3122/jabfm.2019.06.190115
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发表时间：
2019-11-01
影响因子：
2.9
通讯作者：
Moore, Jason H.
中科院分区：
文献类型：
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作者：
Penrod, Nadia M.;Lynch, Selah;Moore, Jason H.
背景：越来越多的患者将瑜伽作为一种治疗干预手段，但人们对瑜伽如何在临床环境中与卫生保健相结合知之甚少。目的：描述一个大型学术医疗中心如何记录瑜伽，并系统地识别临床医生衍生的瑜伽治疗用例。方法：我们设计了一项回顾性观察研究，使用来自宾夕法尼亚大学医学院2006年至2016年电子健康记录的瑜伽队列（n = 30,976）和人口统计学匹配的对照队列（n = 92,919）。我们建立了瑜伽笔记在患者、临床医生和临床服务部门之间的分布模型，建立了一个多项朴素贝叶斯分类器，通过上下文依赖瑜伽一词的使用来分离这些笔记，并通过Fisher精确检验建立了临床医生推荐使用瑜伽和754种诊断结论之间的关联模型，设置了一个假发现率（FDR）调整的p值
Background: There is a growing patient population using yoga as a therapeutic intervention, but little is known about how yoga interfaces with health care in clinical settings.Purpose: To characterize how yoga is documented at a large academic medical center and to systematically identify clinician-derived therapeutic use cases of yoga.Methods: We designed a retrospective observational study using a yoga cohort (n = 30,976) and a demographically matched control cohort (n = 92,919) from the electronic health records at Penn Medicine between 2006 and 2016. We modeled the distribution of yoga notes among patients, clinicians, and clinical service departments, built a multinomial Naive Bayes classifier to separate the notes by context-dependent use of the word yoga, and modeled associations between clinician recommendations to use yoga and 754 diagnostic codas with Fisher's exact test, setting an false discovery rate (FDR)-adjusted P-value