Evidence map›Paper›PMID 30007291›Full record

ArticleMilitary medicine2019

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

Rachel Sayko Adams, Cindy Parks Thomas, Grant A Ritter, Sue Lee, Mayada Saadoun, Thomas V Williams, Mary Jo Larson

Erratum issued Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Military medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT06940986 (The PROmoting Pain Self-Management), which is not on this map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.8field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT06940986 narecruitingnot on this mapstarted 2025, after this paper: background citation

The PROmoting Pain Self-Management (PROs) Trial: Holistic Pain Care in the Military Health System

TypeinterventionalSponsorBrooke Army Medical CenterRan2025 to 2028Enrolled608ConditionsChronic Pain, Musculoskeletal Pain, Musculoskeletal Pain DisorderArmsEmpowered Relief, Move to Health, Usual Care as determined by primary care provider
3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. Trial
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  4. Opioid prescribing to US military members.Regional anesthesia and pain medicine · 2024
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  13. Observational
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Rachel Sayko AdamsInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA.
Cindy Parks ThomasSchneider Institute for Health Policy, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA.
Grant A RitterInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA.
Sue LeeInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA.
Mayada SaadounInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA.
Thomas V WilliamsNORC at the University of Chicago, 225 Friend St, Boston, MA.
Mary Jo LarsonInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA.
Brandeis University · USNational Opinion Research Center · US

Funding

Trajectories of non-pharmacologic and opioid health services for pain management in association with military readiness and health status outcomes: SUPIC renewalR01AT008404 · NCCIH · BRANDEIS UNIVERSITY · PI ADAMS, RACHEL SAYKO, LARSON, MARY JO · 2014 to 2023
$7.2M
First Longitudinal Study of Missed Treatment Opportunities Using DOD and VA DataR01DA030150 · NIDA · BRANDEIS UNIVERSITY · PI LARSON, MARY JO · 2010 to 2013
$1.9M
NCCIH NIH HHS R01 AT008404NIDA NIH HHS R01 DA030150
6 · The paper itself

Abstract

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.

Indexed as

AdolescentAdultAnalgesics, OpioidChronic PainDecision Support TechniquesFemaleHumansMaleMilitary PersonnelOpioid-Related DisordersPain ManagementPain MeasurementAnalgesics, Opioid

Identifiers

PMID30007291
PMCPMC6329665
OpenAlexW2815543089

What OpenQuestion holds

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.