4.0 Article

Predictors of Postdeployment Prescription Opioid Receipt and Long-term Prescription Opioid Utilization Among Army Active Duty Soldiers

Journal

MILITARY MEDICINE
Volume 184, Issue 1-2, Pages E101-E109

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/milmed/usy162

Keywords

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Funding

  1. National Center for Complementary and Integrative Health (NCCIH) [R01 AT008404]
  2. National Institute on Drug Abuse (NIDA) [R01 DA030150]

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Introduction: Little is known about long-term prescription opioid utilization in the Military Health System. The objectives of this study were to examine predictors of any prescription opioid receipt, and predictors of long-term opioid utilization among active duty soldiers in the year following deployment. Materials and Methods: The analytic sample consisted of Army active duty soldiers returning from deployment to Operation Enduring Freedom, Operation Iraqi Freedom, or Operation New Dawn in fiscal years 2008-2014 (N = 540,738). The Heckman probit procedure was used to jointly examine predictors of any opioid prescription receipt and long-term opioid utilization (i.e., an episode of 90 days or longer where days-supply covered at least two-thirds of days) in the postdeployment year. Predictors were based on diagnoses and characteristics of opioid prescriptions. Results: More than one-third of soldiers (34.8%, n = 188,211) had opioid receipt, and among those soldiers, 3.3% had long-term opioid utilization (or 1.1% of the cohort, n = 6,188). The largest magnitude predictors of long-term opioid utilization were receiving a long-acting opioid within the first 30 days of the episode, diagnoses of chronic pain (no specified source), back/neck pain, or peripheral/central nervous system pain, and severe pain score in vital records. Conclusions: Soldiers returning from deployment were more likely to receive an opioid prescription than the overall active duty population, and 1.1% initiated a long-term opioid episode. We report a declining rate of opioid receipt and long-term opioid utilization among Army members from fiscal years 2008-2014. This study demonstrates that the most important predictors of opioid receipt were not demographic factors, but generally clinical indicators of acute pain or physical trauma.

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