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

The 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 t...

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Bibliographic Details
Published in:Frontiers in digital health 2022-12, Vol.4, p.995497-995497
Main Authors: Coquet, Jean, Zammit, Alban, Hajouji, Oualid El, Humphreys, Keith, Asch, Steven M, Osborne, Thomas F, Curtin, Catherine M, Hernandez-Boussard, Tina
Format: Article
Language:English
Subjects:
Digital Health
opioid
postoperative pain
prescribing patterns
surgery
temporal pattern mining
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Summary:The 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. Administrative data from Veteran Health Administration (VHA), six Medicaid state programs and an Academic Medical Center (AMC). Surgeries were identified using the Clinical Classifications Software. Trends in average daily discharge Morphine Milligram Equivalent (MME), postoperative pain and subsequent opioid prescription were compared using regression and likelihood ratio test statistics. The 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;  = 0.002) and Medicaid (41.6-31.3;  = 0.019), and increased at AMC (36.9-41.7;  
ISSN:2673-253X
2673-253X
DOI:10.3389/fdgth.2022.995497