Can Electronic Health Records Validly Estimate the Effects of Health System Interventions Aimed at Controlling Body Weight?
Can Electronic Health Records Validly Estimate the Effects of Health System Interventions Aimed at Controlling Body Weight?
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DOI：
10.1002/oby.22958
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发表时间：
2020-11
期刊：
影响因子：
--
通讯作者：
Bennett G
中科院分区：
文献类型：
--
作者：
Gallis JA;Kusibab K;Egger JR;Olsen MK;Askew S;Steinberg DM;Bennett G
将在诊所收集并记录在电子健康记录（EHR）中的体重与主要研究收集的试验体重进行比较，以评估在未来实用的体重减轻或体重增加预防试验中利用EHR数据的有效性。对于Track and Shape肥胖干预随机试验，我们比较了同一时间段内的临床EHR体重数据与主要试验体重数据。在分析EHR权重时，我们使用线性混合效应模型估计了EHR数据对体重（以千克为单位）主要结局的干预效应。EHR体重测量值平均值高于试验体重测量值，并且变化更大。在所有时间点，使用EHR和研究收集的权重估计值之间的平均差异和95%置信区间相似。本研究之结果可作为未来实用体重相关试验之参考。这项研究提供的证据表明，从EHR中提取的体重测量可以提供有效，高效和具有成本效益的数据，以估计随机临床减肥和体重管理试验的治疗效果。然而，应注意正确理解数据生成过程和可能影响这些估计有效性的任何机制。
To compare weight collected at clinics and recorded in the electronic health record (EHR) to primary study-collected trial weights to assess the validity of utilizing EHR data in future pragmatic weight loss or weight gain prevention trials. For both the Track and Shape obesity intervention randomized trials, we compared clinic EHR weight data to primary trial weight data over the same time period. In analyzing the EHR weights, we estimated intervention effects on the primary outcome of weight (in kilograms) with EHR data, using linear mixed effects models. EHR weight measurements were higher on average and more variable than trial weight measurements. The mean differences and 95% confidence intervals are similar at all time points between the estimates using EHR and study-collected weights. The results of this study can be used to help guide the planning of future pragmatic weight-related trials. This study provides evidence that body weight measurement abstracted from EHRs can provide valid, efficient, and cost-effective data to estimate treatment effects from randomized clinical weight loss and weight management trials. However, care should be made to properly understand the data generating process and any mechanisms that may affect the validity of these estimates.
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影响因子：
4.3
作者：
Arterburn, David;Ichikawa, Laura;Ludman, Evette J.;Operskalski, Belinda;Linde, Jennifer A.;Anderson, Emily;Rohde, Paul;Jeffery, Robert W.;Simon, Greg E.
通讯作者：
Simon, Greg E.
影响因子：
4.4
作者：
STEVENS, VJ;WAGNER, EL;GREENLICK, MR
通讯作者：
GREENLICK, MR
影响因子：
1.9
作者：
Lu, Kaifeng
通讯作者：
Lu, Kaifeng
影响因子：
4.5
作者：
Foley, Perry;Levine, Erica;Bennett, Gary
通讯作者：
Bennett, Gary
DOI：
10.1111/cts.12143
发表时间：
2014-04
期刊：
Clinical and translational science
影响因子：
--
作者：
Concannon TW;Guise JM;Dolor RJ;Meissner P;Tunis S;Krishnan JA;Pace WD;Saltz J;Hersh WR;Michener L;Carey TS
通讯作者：
Carey TS