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. 2016 Apr 1;67(4):397-404.
doi: 10.1176/appi.ps.201500116. Epub 2016 Jan 14.

The Concentration of Opioid Prescriptions by Providers and Among Patients in the Oregon Medicaid Program

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The Concentration of Opioid Prescriptions by Providers and Among Patients in the Oregon Medicaid Program

Hyunjee Kim et al. Psychiatr Serv. .

Abstract

Objective: This study examined the distribution of opioid prescribing across providers and patients and the extent to which concentrated distribution predicts opioid misuse.

Methods: Using 2013 Oregon Medicaid claims and the National Provider Identifier Registry, this study identified patients who filled at least one opioid prescription and providers who prescribed opioids for those patients (N=61,477 Medicaid beneficiaries). This study examined the distribution of opioid prescriptions by provider and patient, the extent to which high-volume opioid use was associated with potential opioid misuse, and how this association changed when patients received opioids from providers in the top decile of morphine-equivalent doses (MEQ) prescribed in 2013. This study used four indicators of opioid misuse: doctor and pharmacy shopping for opioid prescriptions, opioid prescription overlap, and opioid and benzodiazepine prescription overlap.

Results: Opioid use and prescriptions were heavily concentrated among the top 10% of opioid users and prescribers. Those high-volume opioid users and prescribers accounted for, respectively, 83.2% and 80.8% in MEQ of entire opioids prescribed. Patients' increasing use of opioids (by MEQ) was associated with most measures of opioid misuse. Patients receiving opioids from high-volume prescribers had a higher probability of opioid prescription overlap and opioid and benzodiazepine prescription overlap compared with other patients, but the difference was significant only among patients who received high doses of opioids, and the size of the difference was modest.

Conclusions: Whereas current policies emphasize reducing opioid prescriptions across all patients and providers, study results suggest that focusing policies on high-volume opioid users and prescribers may be more beneficial.

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Conflict of interest statement

Other authors have no conflicts of interest.

Figures

Figure 1
Figure 1. Concentration in opioid use and prescription
(a) Annual MEQ and number of opioid prescriptions by provider (b) Annual MEQ and number of opioid prescriptions by patient a The reference lines (top 10% cutoff) for y-axis are at 68,383mg and 9,905mg MEQ in Figure 1(a) and Figure 1(b), respectively.
Figure 2
Figure 2. Predicted probability of opioid misuse (with 95% confidence interval) by lower- and high-volume opioid prescribers
(a) Opioid prescription overlap (b) Opioid/benzodiazepine overlap a High-volume providers are the ones in the top MEQ decile with 68,383mg or higher MEQ. b Each equation was estimated using an ordinary least squares regression, with standard errors clustered on provider. Each outcome variable was then predicted and then how the predicted outcome varies across patient MEQ decile and lower-volume/high-volume provider was presented.

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