{"id":387,"date":"2019-03-07T11:49:16","date_gmt":"2019-03-07T11:49:16","guid":{"rendered":"https:\/\/bmdstest.kcurtishill.com\/?p=387"},"modified":"2020-12-08T18:31:33","modified_gmt":"2020-12-08T18:31:33","slug":"geisel-researchers-integrate-novel-network-analysis-and-geospatial-methods-evaluate-care","status":"publish","type":"post","link":"https:\/\/geiselmed.dartmouth.edu\/bmds\/2019\/03\/07\/geisel-researchers-integrate-novel-network-analysis-and-geospatial-methods-evaluate-care\/","title":{"rendered":"Geisel researchers integrate novel network analysis and geospatial methods to evaluate care coordination for breast cancer patients in rural areas"},"content":{"rendered":"\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"771\" height=\"1024\" src=\"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source-771x1024.jpg\" alt=\"\" class=\"wp-image-388\" title=\"\" srcset=\"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source-771x1024.jpg 771w, https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source-226x300.jpg 226w, https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source-768x1020.jpg 768w, https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source-800x1063.jpg 800w, https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source-580x770.jpg 580w, https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source.jpg 838w\" sizes=\"auto, (max-width: 771px) 100vw, 771px\" \/><\/figure>\n\n\n\n<p>Moen EL, Kapadia NS, O\u2019Malley AJ, Onega T. Evaluating breast cancer care coordination at a rural National Cancer Institute Comprehensive Cancer Center using network analysis and geospatial methods. Cancer Epidemiol Biomarkers Prev. 2019; 28 (3): 455-61. <a href=\"http:\/\/cebp.aacrjournals.org\/content\/28\/3\/455.long\">http:\/\/cebp.aacrjournals.org\/content\/28\/3\/455.long<\/a><\/p>\n\n\n\n<p>Summary: Physician patient-sharing networks offer a novel lens through which to study cancer care coordination. In this work, we analyzed electronic health record data from breast cancer patients in the Dartmouth-Hitchcock health system to examine associations between network-based measures of care coordination and geospatial factors. We found that greater travel burden and lower geographic dispersion of care were positively associated with care density, a network-based measure of care coordination, in a largely rural population. This study was featured on the cover of Cancer Epidemiology, Biomarkers &amp; Prevention Focus Issue on Population Health Assessment in Cancer Center Catchment Areas in March 2019.<\/p>\n\n\n\n<p>Public health relevance: Identifying cancer patients at higher risk of receiving less coordinated care may help guide initiatives and allocate resources to improve care quality and patient outcomes.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Moen EL, Kapadia NS, O\u2019Malley AJ, Onega T. Evaluating breast cancer care coordination at a rural National Cancer Institute Comprehensive Cancer Center using network analysis and geospatial methods. Cancer Epidemiol Biomarkers Prev. 2019; 28 (3): 455-61. http:\/\/cebp.aacrjournals.org\/content\/28\/3\/455.long Summary: Physician patient-sharing networks offer a novel lens through which to study cancer [\u2026] <\/p>\n<div class=\"clear\"><\/div>\n<p><a class=\"more_link clearfix\" href=\"https:\/\/geiselmed.dartmouth.edu\/bmds\/2019\/03\/07\/geisel-researchers-integrate-novel-network-analysis-and-geospatial-methods-evaluate-care\/\" rel=\"nofollow\">Read More<\/a><\/p>\n","protected":false},"author":196,"featured_media":388,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-387","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","author-196"],"jetpack_featured_media_url":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-content\/uploads\/sites\/78\/2020\/09\/3.cover-source.jpg","jetpack_shortlink":"https:\/\/wp.me\/pcCZHx-6f","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/posts\/387","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/users\/196"}],"replies":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/comments?post=387"}],"version-history":[{"count":1,"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/posts\/387\/revisions"}],"predecessor-version":[{"id":714,"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/posts\/387\/revisions\/714"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/media\/388"}],"wp:attachment":[{"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/media?parent=387"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/categories?post=387"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/geiselmed.dartmouth.edu\/bmds\/wp-json\/wp\/v2\/tags?post=387"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}