Evidence map›Paper›PMID 32527513›Full record

ArticleJournal of substance abuse treatment2020

Assessing the postdeployment quality of treatment for substance use disorders among Army enlisted soldiers in the Military Health System.

Rachel Sayko Adams, Deborah W Garnick, Alex H S Harris, Elizabeth L Merrick, Keith Hofmann, Wendy Funk, Thomas V Williams, Mary Jo Larson

Open access · greenAbstract read
In one paragraph

Article in Journal of substance abuse treatment, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 27% 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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Rachel Sayko AdamsInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA, USA; Veterans Health Administration, Rocky Mountain Mental Illness Research Education and Clinical Center, 1700 N. Wheeling Street, Aurora, CO 80045, USA. Electronic address: radams@brandeis.edu.
Deborah W GarnickInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA, USA. Electronic address: garnick@brandeis.edu.
Alex H S HarrisVA Health Services Research & Development, Center for Innovation to Implementation (Ci2i), VA Palo Alto Health Care System, 795 Willow Road, Menlo Park, CA 94025, USA; Department of Surgery, Stanford University, 291 Campus Drive, Stanford, CA 94305, USA. Electronic address: Alexander.Harris2@va.gov.
Elizabeth L MerrickInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA, USA. Electronic address: merrick@brandeis.edu.
Keith HofmannKennell and Associates, Inc., 3130 Fairview Park Drive, Suite 450, Falls Church, VA 22042, USA. Electronic address: khofmann@kennellinc.com.
Wendy FunkKennell and Associates, Inc., 3130 Fairview Park Drive, Suite 450, Falls Church, VA 22042, USA. Electronic address: wfunk@kennellinc.com.
Thomas V WilliamsNORC at the University of Chicago, 4350 E W Highway, Bethesda, MD 20814, USA. Electronic address: Williams-Thomas@norc.org.
Mary Jo LarsonInstitute for Behavioral Health, Heller School for Social Policy and Management, Brandeis University, 415 South Street, Waltham, MA, USA. Electronic address: larson@brandeis.edu.
Brandeis University · USCenter for Innovation · USUniversity of Chicago · 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

Little is known about the rates and predictors of substance use treatment received in the Military Health System among Army soldiers diagnosed with a postdeployment substance use disorder (SUD). We used data from the Substance Use and Psychological Injury Combat study to determine the proportion of active duty (n = 338,708) and National Guard/Reserve (n = 178,801) enlisted soldiers returning from an Afghanistan/Iraq deployment in fiscal years 2008 to 2011 who had an SUD diagnosis in the first 150 days postdeployment. Among soldiers diagnosed with an SUD, we examined the rates and predictors of substance use treatment initiation and engagement according to the Healthcare Effectiveness Data and Information Set criteria. In the first 150 days postdeployment 3.3% of active duty soldiers and 1.0% of National Guard/Reserve soldiers were diagnosed with an SUD. Active duty soldiers were more likely to initiate and engage in substance use treatment than National Guard/Reserve soldiers, yet overall, engagement rates were low (25.0% and 15.7%, respectively). Soldiers were more likely to engage in treatment if they received their index diagnosis in a specialty behavioral health setting. Efforts to improve substance use treatment in the Military Health System should include initiatives to more accurately identify soldiers with undiagnosed SUD. Suggestions to improve substance use treatment engagement in the Military Health System will be discussed.

Indexed as

Military Health ServicesMilitary PersonnelSubstance-Related DisordersHumansIraqIraq War, 2003-2011United States

Identifiers

PMID32527513
PMCPMC7357624
OpenAlexW3022103363

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.