TY  - JOUR
PY  - 2019//
TI  - Predictors of postdeployment prescription opioid receipt and long-term prescription opioid utilization among army active duty soldiers
JO  - Military medicine
A1  - Adams, Rachel Sayko
A1  - Thomas, Cindy Parks
A1  - Ritter, Grant A.
A1  - Lee, Sue
A1  - Saadoun, Mayada
A1  - Williams, Thomas V.
A1  - Larson, Mary Jo
SP  - e101
EP  - e109
VL  - 184
IS  - 1-2
N2  - 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. <br><br>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. <br><br>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. <br><br>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.<p />  <p>Language: en</p>
LA  - en
SN  - 0026-4075
UR  - http://dx.doi.org/10.1093/milmed/usy162
ID  - ref1
ER  -