Validating Smoking Data From the Veteran's Affairs Health Factors Dataset, an Electronic Data Source
Validating Smoking Data From the Veteran's Affairs Health Factors Dataset, an Electronic Data Source
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DOI：
10.1093/ntr/ntr206
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发表时间：
2011-12-01
影响因子：
4.7
通讯作者：
Crothers, Kristina
中科院分区：
文献类型：
--
作者：
McGinnis, Kathleen A.;Brandt, Cynthia A.;Crothers, Kristina
我们评估了来自退伍军人健康管理局(VHA)电子病历(EMR)健康因素数据集的吸烟数据。为了评估EMR健康因素吸烟数据的有效性，我们首先创建了一个算法，将文本输入转换为3类吸烟变量(从不、以前和现在)。我们将这一EMR吸烟变量与两个不同的患者自我报告吸烟调查数据来源进行了比较：(A)在8个地点的退伍军人老龄化队列研究(VICS-8)中，6816名感染艾滋病毒和未感染艾滋病毒的参与者，以及(B)来自国家VAS虚拟队列(VAS-VC)的13689名参与者的子集，这些参与者也完成了1999年的大型健康研究(LHS)调查。敏感性、特异性和Kappa统计量用于评估EMR健康因素吸烟数据与自我报告吸烟数据的一致性。对于EMR健康因素和VOS-8中当前、以前和从不吸烟类别的比较，Kappa统计量为.66。对于EMR健康因素和VAS-VC/LHS吸烟比较，Kappa统计量为.61。基于Kappa统计量，EMR健康因素与调查来源之间的一致性很大。在VHA内识别全国范围内的当前吸烟者可用于未来的研究，以跟踪一段时间内的吸烟状况，评估吸烟干预措施，并在研究中调整吸烟状况。我们的方法可能会为寻求使用电子病历数据准确确定吸烟状况的其他组织提供见解。
We assessed smoking data from the Veterans Health Administration (VHA) electronic medical record (EMR) Health Factors dataset.To assess the validity of the EMR Health Factors smoking data, we first created an algorithm to convert text entries into a 3-category smoking variable (never, former, and current). We compared this EMR smoking variable to 2 different sources of patient self-reported smoking survey data: (a) 6,816 HIV-infected and -uninfected participants in the 8-site Veterans Aging Cohort Study (VACS-8) and (b) a subset of 13,689 participants from the national VACS Virtual Cohort (VACS-VC), who also completed the 1999 Large Health Study (LHS) survey. Sensitivity, specificity, and kappa statistics were used to evaluate agreement of EMR Health Factors smoking data with self-report smoking data.For the EMR Health Factors and VACS-8 comparison of current, former, and never smoking categories, the kappa statistic was .66. For EMR Health Factors and VACS-VC/LHS comparison of smoking, the kappa statistic was .61.Based on kappa statistics, agreement between the EMR Health Factors and survey sources is substantial. Identification of current smokers nationally within the VHA can be used in future studies to track smoking status over time, to evaluate smoking interventions, and to adjust for smoking status in research. Our methodology may provide insights for other organizations seeking to use EMR data for accurate determination of smoking status.