{"id":2428,"date":"2018-04-30T14:10:42","date_gmt":"2018-04-30T14:10:42","guid":{"rendered":"http:\/\/canue.ca\/?p=2428"},"modified":"2018-04-30T14:10:42","modified_gmt":"2018-04-30T14:10:42","slug":"april-30-2018","status":"publish","type":"post","link":"https:\/\/canue.ca\/fr\/april-30-2018\/","title":{"rendered":"April 30 | 2018"},"content":{"rendered":"

Using electronic\u00a0health\u00a0record data for environmental and place based population\u00a0health research: a systematic review.<\/strong><\/h3>\n

Schinasi LH, Auchincloss AH, Forrest CB, Diez Roux AV.<\/strong><\/p>\n

Ann Epidemiol.<\/a>\u00a02018 Mar 21. pii: S1047-2797(18)30059-0. [Epub ahead of print] DOI:10.1016\/j.annepidem.2018.03.008<\/a>\u00a0<\/strong><\/p>\n

Abstract<\/strong>\u00a0<\/strong><\/p>\n

PURPOSE:<\/strong><\/p>\n

We conducted a systematic review of literature published on January 2000-May 2017 that spatially linked electronic\u00a0health\u00a0record (EHR) data with environmental information for population\u00a0health\u00a0research.<\/p>\n

METHODS:<\/strong><\/p>\n

We abstracted information on the environmental and\u00a0health\u00a0outcome variables and the methods and data sources used.<\/p>\n

RESULTS:<\/strong><\/p>\n

The automated search yielded 669 articles; 128 articles are included in the full review. The number of articles increased by publication year; the majority (80%) were from the United States, and the mean sample size was approximately 160,000. Most articles used cross-sectional (44%) or longitudinal (40%) designs. Common outcomes were\u00a0health\u00a0care utilization (32%), cardiometabolic conditions\/obesity (23%), and asthma\/respiratory conditions (10%). Common environmental variables were sociodemographic measures (42%), proximity to medical facilities (15%), and\u00a0built environment\u00a0and land use (13%). The most common spatial identifiers were administrative units (59%), such as census tracts. Residential addresses were also commonly used to assign point locations, or to calculate distances or buffer areas.<\/p>\n

CONCLUSIONS:<\/strong><\/p>\n

Future research should include more detailed descriptions of methods used to geocode addresses, focus on a broader array of\u00a0health\u00a0outcomes, and describe linkage methods. Studies should also explore using longitudinal residential address histories to evaluate associations between time-varying environmental variables and\u00a0health\u00a0outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"

Using electronic\u00a0health\u00a0record data for environmental and place based population\u00a0health research: a systematic review. Schinasi LH, Auchincloss AH, Forrest CB, Diez Roux AV. Ann Epidemiol.\u00a02018 Mar 21. pii: S1047-2797(18)30059-0. [Epub ahead of print] DOI:10.1016\/j.annepidem.2018.03.008\u00a0 Abstract\u00a0 PURPOSE: We conducted a systematic review of literature published on January 2000-May 2017 that spatially linked electronic\u00a0health\u00a0record (EHR) data with environmental […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[9],"tags":[],"class_list":["post-2428","post","type-post","status-publish","format-standard","hentry","category-article-de-la-semaine"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t