Evidence map›Paper›PMID 29057158›Full record

ArticleRand health quarterly2017

Preventing, Identifying, and Treating Prescription Drug Misuse Among Active-Duty Service Members.

Rosalie Liccardo Pacula, Sarah B Hunter, Allison J Ober, Karen Chan Osilla, Raffaele Vardavas, Janice C Blanchard, David DeVries, Emmanuel F Drabo, Kristin J Leuschner, Warren Stewart and 1 more

Open access · greenAbstract read
In one paragraph

Article in Rand health quarterly, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors.

Rosalie Liccardo Pacula
Sarah B Hunter
Allison J Ober
Karen Chan Osilla
Raffaele Vardavas
Janice C Blanchard
David DeVries
Emmanuel F Drabo
Kristin J Leuschner
Warren Stewart
Jennifer Walters

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prescription drug misuse (PDM) is of critical concern for the military because of its potential impact on military readiness, the health and well-being of military personnel, and associated health care costs. The purpose of this study is to summarize insights gleaned from a series of activities that the RAND Corporation undertook for the Deputy Assistant Secretary of Defense for Readiness to address this important health and military readiness issue. The authors completed a review of U.S. Department of Defense policies and a comprehensive literature review of clinical guidelines and the empirical literature on the prevention and treatment of PDM and conducted individual face-to-face interviews with 66 health and behavioral health care providers at nine medical treatment facilities across three regions within the contiguous United States to identify best practices in the prevention, identification, and treatment of PDM and the extent to which those practices are known and followed. The study also presents the framework of an analytic tool that, once informed by data available to the military but not available to the authors, can assist the military in predicting future trends in PDM based on current demographics of active-duty service members and rates of injury and prescribing of prescription drugs. The findings from this work led the authors to formulate a set of key insights that they believe might improve the rapid identification and treatment of service members dealing with PDM, thereby improving future force readiness.

Indexed as

Mental Health and IllnessMilitary Health and Health CarePain ManagementPrescription Drug AbuseSubstance Abuse Treatment

Identifiers

PMID29057158
PMCPMC5644774
OpenAlexW2570945783

What OpenQuestion holds

Textmetadata
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.