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基于电子健康记录数据的体质量指数地理空间监测:在医疗保健系统中的应用。

Geospatial Monitoring of Body Mass Index: Use of Electronic Health Record Data Across Health Care Systems.

机构信息

Department of Geography and Environmental Sciences, University of Colorado Denver, Denver, CO, USA.

Center for Health and Environment Data, Colorado Department of Public Health and Environment, Denver, CO, USA.

出版信息

Public Health Rep. 2020 Mar/Apr;135(2):211-219. doi: 10.1177/0033354920904078. Epub 2020 Feb 13.

Abstract

OBJECTIVES

The Colorado BMI Monitoring System was developed to assess geographic (ie, census tract) patterns of obesity prevalence rates among children and adults in the Denver-metropolitan region. This project also sought to assess the feasibility of a surveillance system that integrates data across multiple health care and governmental organizations.

MATERIALS AND METHODS

We extracted data on height and weight measures, obtained through routine clinical care, from electronic health records (EHRs) at multiple health care sites. We selected sites from 5 Denver health care systems and collected data from visits that occurred between January 1, 2013, and December 31, 2015. We produced shaded maps showing observed obesity prevalence rates by census tract for various geographic regions across the Denver-metropolitan region.

RESULTS

We identified clearly distinguishable areas by higher rates of obesity among children than among adults, with several pockets of lower body mass index. Patterns for adults were similar to patterns for children: the highest obesity prevalence rates were concentrated around the central part of the metropolitan region. Obesity prevalence rates were moderately higher along the western and northern areas than in other parts of the study region.

PRACTICE IMPLICATIONS

The Colorado BMI Monitoring System demonstrates the feasibility of combining EHRs across multiple systems for public health and research. Challenges include ensuring de-duplication across organizations and ensuring that geocoding is performed in a consistent way that does not pose a risk for patient privacy.

摘要

目的

科罗拉多州 BMI 监测系统旨在评估丹佛大都市区儿童和成人肥胖流行率的地理(即普查区)模式。该项目还旨在评估一种将多个医疗保健和政府组织的数据整合到一个监测系统中的可行性。

材料和方法

我们从多个医疗保健地点的电子健康记录 (EHR) 中提取了身高和体重测量数据,这些数据是通过常规临床护理获得的。我们从 5 个丹佛医疗保健系统中选择了一些地点,并收集了 2013 年 1 月 1 日至 2015 年 12 月 31 日期间发生的就诊数据。我们制作了阴影地图,显示了丹佛大都市区各个地理区域的普查区肥胖流行率的观测值。

结果

我们发现,儿童肥胖率明显高于成年人,而且存在几个身体质量指数较低的区域。成年人的模式与儿童相似:肥胖流行率最高的地区集中在大都市区的中心部分。西部地区和北部地区的肥胖流行率略高于研究区域的其他地区。

实践意义

科罗拉多州 BMI 监测系统展示了通过多个系统结合电子健康记录进行公共卫生和研究的可行性。挑战包括确保在组织之间进行去重,并确保地理编码以不会对患者隐私构成风险的一致方式进行。

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