2013
DOI: 10.1097/ajp.0b013e3182490bdb
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Correlates of Prescription Opioid Initiation and Long-term Opioid Use in Veterans With Persistent Pain

Abstract: Objectives Little is known about how opioid prescriptions for chronic pain are initiated. We sought to describe patterns of prescription opioid initiation, identify correlates of opioid initiation, and examine correlates of receipt of chronic opioid therapy (COT) among veterans with persistent non-cancer pain. Methods Using Veterans Affairs (VA) administrative data, we identified 5,961 veterans from the Pacific Northwest with persistent elevated pain intensity scores who had not been prescribed opioids in th… Show more

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Cited by 121 publications
(124 citation statements)
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“…Dobscha et al 38 studied a cohort of 17,126 patients defined by persistent elevated pain, in which only 5,961 (35 %) had not received any opioid in the12 months prior to the index date. Among the opioid-naïve patients, 13.2 % (273 of 1,797) who received any opioids went on to receive long-term opioid therapy.…”
Section: Discussionmentioning
confidence: 99%
“…Dobscha et al 38 studied a cohort of 17,126 patients defined by persistent elevated pain, in which only 5,961 (35 %) had not received any opioid in the12 months prior to the index date. Among the opioid-naïve patients, 13.2 % (273 of 1,797) who received any opioids went on to receive long-term opioid therapy.…”
Section: Discussionmentioning
confidence: 99%
“…To identify correlates of prescription opioid therapy, we categorized participants into three groups: (1) no opioid therapy (NOT) in the past 90 d (n = 134), (2) SOT (<90 d duration; n = 31), or (3) LOT (90 d duration; n = 49). Similar definitions of SOT and LOT have been used in prior studies [8,20,[41][42].…”
Section: Statistical Analysesmentioning
confidence: 99%
“…We next conducted a hierarchical multinomial logistic regression analysis to identify clinical and pain-related variables most strongly associated with NOT versus SOT versus LOT in the past 90 d. The goal of this analysis was to test the hypothesized correlates of prescription opioid therapy. The first step of this model controlled for demographic characteristics that have demonstrated associations with receipt of prescription opioid therapy in prior studies (age, sex, race) [8][9]19]. In the second step, we included depression symptom severity, PTSD diagnosis, and active SUD diagnosis.…”
Section: Statistical Analysesmentioning
confidence: 99%
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