3.8 Article

Changes in postoperative opioid prescribing across three diverse healthcare systems, 2010-2020

期刊

FRONTIERS IN DIGITAL HEALTH
卷 4, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fdgth.2022.995497

关键词

opioid; temporal pattern mining; surgery; postoperative pain; prescribing patterns

资金

  1. National Library of Medicine of the National Institutes of Health [R01LM013362]
  2. Gainwell Technologies
  3. Australian Government's Cooperative Research Centres Program

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This study analyzed postoperative opioid prescribing patterns across different populations from 2010 to 2020. The results showed a decrease in opioid prescribing in the Veteran Health Administration and Medicaid programs, while there was an increase in the Academic Medical Center. Despite the differences in population characteristics, these systems achieved similar prescribing patterns and outcomes in 2020.
ObjectiveThe opioid crisis brought scrutiny to opioid prescribing. Understanding how opioid prescribing patterns and corresponding patient outcomes changed during the epidemic is essential for future targeted policies. Many studies attempt to model trends in opioid prescriptions therefore understanding the temporal shift in opioid prescribing patterns across populations is necessary. This study characterized postoperative opioid prescribing patterns across different populations, 2010-2020. Data SourceAdministrative data from Veteran Health Administration (VHA), six Medicaid state programs and an Academic Medical Center (AMC). Data extractionSurgeries were identified using the Clinical Classifications Software. Study DesignTrends in average daily discharge Morphine Milligram Equivalent (MME), postoperative pain and subsequent opioid prescription were compared using regression and likelihood ratio test statistics. Principal FindingsThe cohorts included 595,106 patients, with populations that varied considerably in demographics. Over the study period, MME decreased significantly at VHA (37.5-30.1; p = 0.002) and Medicaid (41.6-31.3; p = 0.019), and increased at AMC (36.9-41.7; p < 0.001). Persistent opioid users decreased after 2015 in VHA (p < 0.001) and Medicaid (p = 0.002) and increase at the AMC (p = 0.003), although a low rate was maintained. Average postoperative pain scores remained constant over the study period. ConclusionsVHA and Medicaid programs decreased opioid prescribing over the past decade, with differing response times and rates. In 2020, these systems achieved comparable opioid prescribing patterns and outcomes despite having very different populations. Acknowledging and incorporating these temporal distribution shifts into data learning models is essential for robust and generalizable models.

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