2015
DOI: 10.1097/j.pain.0000000000000145
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The prevalence of problem opioid use in patients receiving chronic opioid therapy

Abstract: To estimate the prevalence of problem opioid use, we used natural language processing (NLP) techniques to identify clinical notes containing text indicating problem opioid use from over 8 million electronic health records (EHRs) of 22,142 adult patients receiving chronic opioid therapy (COT) within Group Health clinics from 2006 to 2012. Computer-assisted manual review of NLP-identified clinical notes was then used to identify patients with problem opioid use (overuse, misuse, or abuse) according to the study … Show more

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Cited by 63 publications
(45 citation statements)
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“…Palmer et al. employed natural language processing to evaluate the prevalence of OUD from 2006 to 2012 and reported an upward trend resulting in a 9.4% increase among 22,142 patients receiving chronic opioid therapy . A similar systematic review incorporating 16 reports of OUD from 2009 to 2014 also showed an upward trend and overall increase in prevalence within this time period .…”
Section: Discussionmentioning
confidence: 99%
“…Palmer et al. employed natural language processing to evaluate the prevalence of OUD from 2006 to 2012 and reported an upward trend resulting in a 9.4% increase among 22,142 patients receiving chronic opioid therapy . A similar systematic review incorporating 16 reports of OUD from 2009 to 2014 also showed an upward trend and overall increase in prevalence within this time period .…”
Section: Discussionmentioning
confidence: 99%
“…Prior research has shown that receiving an excess opioid days supplied is associated with opioid abuse. [6,15,19]…”
Section: Methodsmentioning
confidence: 99%
“…6 Furthermore, opioids are highly addictive and many patients administered chronic opioids develop addiction. 79 Consequently, there is a pressing need to develop novel efficacious, non-addictive analgesics for the treatment of chronic pain.…”
Section: Introductionmentioning
confidence: 99%