Alexandra Robins, Alan Dimitriev, Cameron MacKay, Hayden Wang, Abigail Kearney, Daniel P Borschneck, Amber Simpson
{"title":"COVID-19与阿片类药物处方模式和阿片类药物过量变化之间的关系:一项回顾性队列研究","authors":"Alexandra Robins, Alan Dimitriev, Cameron MacKay, Hayden Wang, Abigail Kearney, Daniel P Borschneck, Amber Simpson","doi":"10.1080/24740527.2023.2176297","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Recent data suggest that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids.</p><p><strong>Aims: </strong>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's specialty.</p><p><strong>Methods: </strong>Utilizing data on the Ontario Health Data Platform, we defined two 149-day windows as \"before\" and \"after\" based on the initial COVID-19 provincial lockdown. A total of 882,268 individuals met our inclusion criteria and were classified as either \"new\" or \"continuing\" users. Chi-square tests and Fisher's exact tests were applied for each level of our primary outcomes to determine whether there were significant changes in prescription proportions before and after the lockdown.</p><p><strong>Results: </strong>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 who 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><p><strong>Conclusions: </strong>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 that COVID-19-related restrictions had on non-COVID-19-related health services, which can inform future policy decisions.</p>","PeriodicalId":53214,"journal":{"name":"Canadian Journal of Pain-Revue Canadienne de la Douleur","volume":"7 1","pages":"2176297"},"PeriodicalIF":2.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081074/pdf/","citationCount":"0","resultStr":"{\"title\":\"The Association between COVID-19 and Changes in Opioid Prescribing Patterns and Opioid-Related Overdoses: A Retrospective Cohort Study.\",\"authors\":\"Alexandra Robins, Alan Dimitriev, Cameron MacKay, Hayden Wang, Abigail Kearney, Daniel P Borschneck, Amber Simpson\",\"doi\":\"10.1080/24740527.2023.2176297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Recent data suggest that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids.</p><p><strong>Aims: </strong>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's specialty.</p><p><strong>Methods: </strong>Utilizing data on the Ontario Health Data Platform, we defined two 149-day windows as \\\"before\\\" and \\\"after\\\" based on the initial COVID-19 provincial lockdown. A total of 882,268 individuals met our inclusion criteria and were classified as either \\\"new\\\" or \\\"continuing\\\" users. Chi-square tests and Fisher's exact tests were applied for each level of our primary outcomes to determine whether there were significant changes in prescription proportions before and after the lockdown.</p><p><strong>Results: </strong>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 who 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><p><strong>Conclusions: </strong>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 that COVID-19-related restrictions had on non-COVID-19-related health services, which can inform future policy decisions.</p>\",\"PeriodicalId\":53214,\"journal\":{\"name\":\"Canadian Journal of Pain-Revue Canadienne de la Douleur\",\"volume\":\"7 1\",\"pages\":\"2176297\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10081074/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Canadian Journal of Pain-Revue Canadienne de la Douleur\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/24740527.2023.2176297\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Pain-Revue Canadienne de la Douleur","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24740527.2023.2176297","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
The Association between COVID-19 and Changes in Opioid Prescribing Patterns and Opioid-Related Overdoses: A Retrospective Cohort Study.
Background: Recent data suggest that restrictions related to COVID-19 resulted in changes in the prescribing patterns of opioids.
Aims: 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's specialty.
Methods: Utilizing data on the Ontario Health Data Platform, we defined two 149-day windows as "before" and "after" based on the initial COVID-19 provincial lockdown. A total of 882,268 individuals met our inclusion criteria and were classified as either "new" or "continuing" users. Chi-square tests and Fisher's exact tests were applied for each level of our primary outcomes to determine whether there were significant changes in prescription proportions before and after the lockdown.
Results: 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 who 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.
Conclusions: 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 that COVID-19-related restrictions had on non-COVID-19-related health services, which can inform future policy decisions.