文章基本信息

标题：Combining Clinical and Population-Level Data to Understand the Health of Neighborhoods
本地全文：下载
作者：Earle C. Chambers ; Barbara C. Wong ; Rachael W. Riley 等
期刊名称：American journal of public health
印刷版ISSN：0090-0036
出版年度：2015
卷号：105
期号：3
页码：510-512
DOI：10.2105/AJPH.2014.302326
语种：English
出版社：American Public Health Association
摘要：From February through December 2012, we examined responses to health behavior questions integrated into the electronic medical record of primary care centers in the Bronx, New York in the context of New York City Community Health Survey data. We saw a higher proportion of unhealthy behaviors among patients than among the neighborhood population. Analyzing clinical data in the neighborhood context can better target at-risk populations. Primary clinical care and population health have complementary goals of improving the health of patients and neighborhoods, respectively. 1,2 However, clinical care centers and public health agencies rarely operate in concert to increase wellness at both the patient and population levels. The systems for collecting and analyzing patient- and population-level data are often not coordinated or connected, 3,4 making the examination of changes in patient outcomes difficult to interpret within the context of larger population trends. Using a set of common metrics allows the assessment of intervention effectiveness in both the clinical and neighborhood settings. As part of a common interest and shared vision to improve clinical outcomes for patients as well as the health of the broader community, Montefiore Medical Center (MMC), the Bronx District Public Health Office of the New York City Department of Health and Mental Hygiene (DOHMH), and the Bronx Community Health Network, Inc, established a partnership in 2010—formally known as Bronx CATCH (Collective Action to Transform Community Health) to pursue a geographic approach to promoting health in specified neighborhoods in the Bronx, New York. This collaboration of hospital, department of health, and community partners in the Bronx was designed to integrate a set of population health metrics into MMC’s clinical electronic medical record. We created the data infrastructure whereby comparable metrics at the clinic and population levels are collected. We have presented the results of the first year of behavioral health data collected through the electronic medical record for patients receiving routine primary care at 3 neighborhood health centers in 3 Bronx communities.