{"id":13148,"date":"2023-02-06T00:00:00","date_gmt":"2023-02-06T05:00:00","guid":{"rendered":"https:\/\/icesontario.wpengine.com\/publications\/journal-articles\/the-association-between-covid-19-and-changes-in-opioid-prescribing-patterns-and-opioid-related-overdoses-a-retrospective-cohort-study\/"},"modified":"2023-09-20T13:47:33","modified_gmt":"2023-09-20T17:47:33","slug":"the-association-between-covid-19-and-changes-in-opioid-prescribing-patterns-and-opioid-related-overdoses","status":"publish","type":"journal_article","link":"https:\/\/www.ices.on.ca\/fr\/publications\/journal-articles\/the-association-between-covid-19-and-changes-in-opioid-prescribing-patterns-and-opioid-related-overdoses\/","title":{"rendered":"The association between COVID-19 and changes in opioid prescribing patterns and opioid-related overdoses: a retrospective cohort study"},"content":{"rendered":"<p><strong>Background<\/strong> \u2014 Recent data suggests that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids.<\/p>\n<p><strong>Aims<\/strong> \u2014 We sought to analyze Ontario health data for changes in frequencies among new and continuing users for the following opioid prescription characteristics: the type of opioid, the average daily dose, and the prescriber\u2019s specialty.<\/p>\n<p><strong>Methods<\/strong> \u2014 Utilizing data on the Ontario Health Data Platform, we defined two 149-day windows as \u2018before\u2019 and \u2018after\u2019 based on the initial COVID-19 provincial lockdown. A total of 882,268 individuals met our inclusion criteria and were classified as either \u2018new\u2019 or \u2018continuing\u2019 users. Chi-Squared tests and Fisher\u2019s exact tests were applied for each level of our primary outcomes to determine if there were significant changes in prescription proportions before and after the lockdown.<\/p>\n<p><strong>Results<\/strong> \u2014 A decline of 28% was observed for the number of new users after the lockdown. Statistically significant changes were observed for new users across almost all opioid prescription characteristics between the before and after windows. The proportion of new users that received at least one dispensing event from a pharmacist increased by 26.32%, whereas continuing users increased by 378.61%. There were no statistically significant shifts in opioid prescriptions among individuals with a reported toxicity event during the study period.<\/p>\n<p><strong>Conclusions<\/strong> \u2014 In terms of opioid prescribing patterns, new users experienced greater change following the onset of the pandemic lockdown than continuing users. Our findings potentially showcase the unintended impacts COVID-19 related restrictions had on non-COVID-19 related health serv ICES, which can inform future policy decisions.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Background \u2014 Recent data suggests that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids. Aims \u2014 We sought to analyze Ontario health data for changes in frequencies among new and continuing users for the following opioid prescription characteristics: the type of opioid, the average daily dose, and the prescriber\u2019s specialty. [&hellip;]<\/p>\n","protected":false},"template":"","migration-helper-automated":[],"migration-manual":[],"topic":[39,56],"migration-helper-qa-sample-set":[],"class_list":["post-13148","journal_article","type-journal_article","status-publish","hentry","topic-infectious-diseases","topic-pharmacoepidemiology-and-drug-safety"],"acf":{"citation":"Robins A, Dimitriev A, MacKay C, Wang H, Kearney A, Borschneck DP, Simpson A. <em>Can J Pain<\/em>. 2023; 7(1):2176297. Epub 2023 Feb 6.","source_url":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/24740527.2023.2176297","ices_scientist":"","site":[6733],"research_program":[6742],"news_release":"","journal_article":"","atlas":"","research_report":"","infographic":"","video":"","downloads":null,"links":null,"sitecore_item_id":"77D3CB45-2FAF-4F50-BF07-176BE62DAB07","sitecore_item_name":"The-association-between-COVID-19-and-changes-in-opioid-prescribing-patterns","sitecore_field_values":"{\r\n  \"Title\": \"The association between COVID-19 and changes in opioid prescribing patterns and opioid-related overdoses: a retrospective cohort study\",\r\n  \"Short title\": \"The association between COVID-19\",\r\n  \"Summary\": \"This study found that in terms of opioid prescribing patterns, new users experienced greater change following the onset of the pandemic lockdown than continuing users.\",\r\n  \"Citation\": \"<p>Robins A, Dimitriev A, MacKay C, Wang H, Kearney A, Borschneck DP, Simpson A. <em>Can J Pain<\/em>. 2023; Feb 6 [Epub ahead of print]. DOI: <a href=\"https:\/\/doi.org\/10.1080\/24740527.2023.2176297\" title=\"opens external link\">https:\/\/doi.org\/10.1080\/24740527.2023.2176297<\/a><\/p>\",\r\n  \"Abstract\": \"<p><strong>Background<\/strong> &mdash; Recent data suggests that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids.<\/p>n<p><strong>Aims<\/strong> &mdash; We sought to analyze Ontario health data for changes in frequencies among new and continuing users for the following opioid prescription characteristics: the type of opioid, the average daily dose, and the prescriber&rsquo;s specialty.<\/p>n<p><strong>Methods<\/strong> &mdash; Utilizing data on the Ontario Health Data Platform, we defined two 149-day windows as &lsquo;before&rsquo; and &lsquo;after&rsquo; based on the initial COVID-19 provincial lockdown. A total of 882,268 individuals met our inclusion criteria and were classified as either &lsquo;new&rsquo; or &lsquo;continuing&rsquo; users. Chi-Squared tests and Fisher&rsquo;s exact tests were applied for each level of our primary outcomes to determine if there were significant changes in prescription proportions before and after the lockdown.<\/p>n<p><strong>Results<\/strong> &mdash; A decline of 28% was observed for the number of new users after the lockdown. Statistically significant changes were observed for new users across almost all opioid prescription characteristics between the before and after windows. The proportion of new users that received at least one dispensing event from a pharmacist increased by 26.32%, whereas continuing users increased by 378.61%. There were no statistically significant shifts in opioid prescriptions among individuals with a reported toxicity event during the study period.<\/p>n<p><strong>Conclusions<\/strong> &mdash; In terms of opioid prescribing patterns, new users experienced greater change following the onset of the pandemic lockdown than continuing users. Our findings potentially showcase the unintended impacts COVID-19 related restrictions had on non-COVID-19 related health serv ICES, which can inform future policy decisions.<\/p>n<p><a href=\"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/24740527.2023.2176297\" title=\"opens external link\">View full text<\/a><\/p>\",\r\n  \"Posted Date\": \"20230206T000000\",\r\n  \"Show on Publications Landing Page\": \"1\"\r\n}","previous_url":"https:\/\/www.ices.on.ca\/Publications\/Journal-Articles\/2023\/February\/The-association-between-COVID-19-and-changes-in-opioid-prescribing-patterns"},"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ICES | The association between COVID-19 and changes in opioid prescribing patterns and opioid-related overdoses: a retrospective cohort study<\/title>\n<meta name=\"description\" content=\"Background \u2014 Recent data suggests that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids. 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