{"id":760,"date":"2013-12-19T09:53:17","date_gmt":"2013-12-18T22:53:17","guid":{"rendered":"http:\/\/blog.panicola.com\/?p=760"},"modified":"2014-01-29T21:55:44","modified_gmt":"2014-01-29T10:55:44","slug":"big-data-supporting-nz-diabetes-policy","status":"publish","type":"post","link":"https:\/\/blog.panicola.com\/?p=760","title":{"rendered":"Big Data supporting NZ diabetes policy"},"content":{"rendered":"<ul>\n<li>NZ is using big data to drive improvements in diabetes policy and planning<\/li>\n<li>The \u00a0Virtual Diabetes Register (VDR) is\u00a0aggregating data from 6 data sources:<\/li>\n<\/ul>\n<ol>\n<li>hospital admissions coded for diabetes<\/li>\n<li>outpatient attendees for diabetes<\/li>\n<li>diabetes retinal screening<\/li>\n<li>prescriptions of specific antidiabetic therapies<\/li>\n<li>laboratory orders for measuring diabetes management<\/li>\n<li>primary health (general practitioner)\u00a0enrollments<\/li>\n<\/ol>\n<ul>\n<li>the analytics showed that Indian and Pacific people have the highest diabetes prevalence rates<\/li>\n<\/ul>\n<p>http:\/\/www.futuregov.asia\/articles\/2013\/dec\/13\/new-zealand-health-improves-diabetes-policy-big-da\/<\/p>\n<p><span style=\"font-size: 24px; font-weight: bold; line-height: 1;\">NEW ZEALAND HEALTH IMPROVES DIABETES POLICY WITH BIG DATA ANALYTICS<\/span><\/p>\n<p>By\u00a0<a href=\"http:\/\/www.futuregov.asia\/users\/11\/\">Kelly Ng<\/a>\u00a0| 13 December 2013 | Views:\u00a02743<\/p>\n<p>The\u00a0<a href=\"http:\/\/www.health.govt.nz\/\" target=\"_blank\">Ministry of Health New Zealand<\/a>\u00a0uses big data analytics to accurately determine current and predict future diabetic population to improve diabetes policy\u00a0planning.<\/p>\n<p>In collaboration with experts from the\u00a0<a href=\"http:\/\/www.nzssd.org.nz\/\" target=\"_blank\">New Zealand Society for the Study of Diabetes<\/a>\u00a0(NZSSD), the ministry created a Virtual Diabetes Register (VDR) that pulls and filters health data from six major\u00a0databases.<\/p>\n<p>The six data sources were: hospital admissions coded for diabetes, outpatient attendees for diabetes and diabetes retinal screening, prescriptions of specific antidiabetic therapies, laboratory orders for measuring diabetes management and primary health (general practitioner)\u00a0enrollments.<\/p>\n<p>According to Emmanuel Jo, Principal Technical Specialist at\u00a0<a href=\"http:\/\/www.healthworkforce.govt.nz\/\" target=\"_blank\">Health Workforce New Zealand<\/a>, Ministry of Health, the previous way of measuring diabetes using national surveys was inefficient, expensive and had a high error\u00a0rate.<\/p>\n<p>The new analytical model, using\u00a0<a href=\"http:\/\/www.sas.com\/\" target=\"_blank\">SAS<\/a>\u00a0software, significantly improved the accuracy and robustness of the system, combining several data sources to generate greater\u00a0insights.<\/p>\n<p>Interestingly, analytics showed that Indian and Pacific people have the highest diabetes prevalence rate, said Dr. Paul Drury, Clinical Director of the Diabetes Auckland Centre and Medical Director of\u00a0NZSSD. Health policies can therefore be focused on this\u00a0group.<\/p>\n<p>\u201cWe have 20 different\u00a0<a href=\"http:\/\/www.health.govt.nz\/new-zealand-health-system\/key-health-sector-organisations-and-people\/district-health-boards\/district-health-board-websites\" target=\"_blank\">District Health Boards<\/a>, and the data can show them how many diabetic people are in their area,\u201d Drury\u00a0said.<\/p>\n<p>\u201cGPs should know already how many they have, but the\u00a0VDR\u00a0is also able to help them predict who may be at risk so they can be prepared. By knowing the populations where diabetes is more prevalent, more resources can be directed at them to provide clinical quality improvements,\u201d he\u00a0added<\/p>\n<p>Patient privacy is protected by regulating access to data in the\u00a0VDR.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>NZ is using big data to drive improvements in diabetes policy and planning The \u00a0Virtual Diabetes Register (VDR) is\u00a0aggregating data from 6 data sources: hospital admissions coded for diabetes outpatient attendees for diabetes diabetes retinal screening prescriptions of specific antidiabetic therapies laboratory orders for measuring diabetes management primary health (general practitioner)\u00a0enrollments the analytics showed that &hellip; <a href=\"https:\/\/blog.panicola.com\/?p=760\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Big Data supporting NZ diabetes policy<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,9,22,3,20],"tags":[],"class_list":["post-760","post","type-post","status-publish","format-standard","hentry","category-data-saving-lives","category-healthcare","category-policy","category-rapid-learning-health-systems","category-research-methodology"],"_links":{"self":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts\/760","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=760"}],"version-history":[{"count":2,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts\/760\/revisions"}],"predecessor-version":[{"id":1221,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=\/wp\/v2\/posts\/760\/revisions\/1221"}],"wp:attachment":[{"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=760"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=760"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blog.panicola.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=760"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}