电子健康记录数据中的心血管健康趋势(2012-2015):指南优势的横断面分析™.

Joyce E Rudy, Yosef Khan, Julie K Bower, Sejal Patel, Randi E Foraker
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引用次数: 3

摘要

背景:电子健康记录(EHR)数据可以测量患者群体的心血管健康(CVH),但当从一个医疗保健系统中获得时,其可推广性有限。目标:我们使用了The Guideline Advantage™ (TGA)数据库,包括来自8个不同医疗保健系统的患者的EHR数据,以描述成年患者的CVH以及实现美国心脏协会(AHA)2020年影响目标的进展。方法:我们的分析包括2012年至2015年TGA记录的203488名患者,677733次接触。根据AHA的Life’s Simple 7算法,EHRs的五项指标[吸烟状况、体重指数(BMI)、血压(BP)、胆固醇和糖尿病(DM)]被归类为差/中等/理想。我们首先使用所有可用数据,然后在具有所有指标完整数据的患者子样本(n=1890)中,展示了每个指标的CVH随时间的分布和趋势。结果:在所有患者中,从2012年到2015年,实现理想CVH的最大步伐是吸烟(50.6%到65%),其次是糖尿病(17.3%到20.7%)和血压(21.1%到23.2%)。总体而言,理想CVH的患病率在子样本中的任何指标都没有增加。男性在BMI和胆固醇的理想CVH方面略有改善;同时,女性在任何指标的理想CVH方面都没有改善。由于白人患者的理想血压和胆固醇CVH略有增加,非白人患者的血压、胆固醇、BMI和DM CVH恶化。结论:尽管门诊环境中的一些CVH指标有所改善,但要实现AHA的2020年影响目标,还需要取得更实实在在的进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Cardiovascular Health Trends in Electronic Health Record Data (2012-2015): A Cross-Sectional Analysis of The Guideline Advantage™.

Background: Electronic health record (EHR) data can measure cardiovascular health (CVH) of patient populations, but have limited generalizability when derived from one health care system.

Objective: We used The Guideline Advantage™ (TGA) data repository, comprising EHR data of patients from 8 diverse health care systems, to describe CVH of adult patients and progress towards the American Heart Association's (AHA's) 2020 Impact Goals.

Methods: Our analysis included 203,488 patients with 677,733 encounters recorded in TGA from 2012 to 2015. Five measures from EHRs [cigarette smoking status, body mass index (BMI), blood pressure (BP), cholesterol, and diabetes mellitus (DM)] were categorized as poor/intermediate/ideal according to AHA's Life's Simple 7 algorithm. We presented distributions and trends of CVH for each metric over time, first using all available data, and then in a subsample (n = 1,890) of patients with complete data on all metrics.

Results: Among all patients, the greatest stride towards ideal CVH attainment from 2012 to 2015 was for cigarette smoking (50.6 percent to 65 percent), followed by DM (17.3 percent to 20.7 percent) and BP (21.1 percent to 23.2 percent). Overall, prevalence of ideal CVH did not increase for any metric in the subsample. Males slightly improved in ideal CVH for BMI and cholesterol; meanwhile, females saw no improvement in ideal CVH for any metric. As ideal CVH for BP and cholesterol increased slightly among white patients, ideal CVH for BP, cholesterol, BMI, and DM worsened for non-whites.

Conclusion: Despite improvements in some CVH metrics in the outpatient setting, more tangible progress is needed to meet AHA's 2020 Impact Goals.

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