Evidence map›Paper›PMID 29025024›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Implementing prescription drug monitoring and other clinical decision support for opioid risk mitigation in a military health care setting: a qualitative feasibility study.

Erin P Finley, Suyen Schneegans, Claudina Tami, Mary Jo Pugh, Don McGeary, Lauren Penney, Jennifer Sharpe Potter

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

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  9. Adaptive interventions for opioid prescription management and consumption monitoring.Journal of the American Medical Informatics Association : JAMIA · 2023
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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

7 authors at 1 institution in 1 country.

Erin P FinleyUniversity of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Suyen SchneegansUniversity of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Claudina TamiUniversity of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Mary Jo PughUniversity of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Don McGearyUniversity of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Lauren PenneyUniversity of Texas Health Science Center San Antonio, San Antonio, TX, USA.
Jennifer Sharpe PotterUniversity of Texas Health Science Center San Antonio, San Antonio, TX, USA.
The University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Chronic noncancer pain is a highly prevalent condition among service members returning from deployment overseas. The US Army has a higher rate of opioid misuse than the civilian population. Although most states and many health care systems have implemented prescription drug monitoring programs (PDMPs) or other clinician decision support (CDS) to aid providers in delivering guideline-recommended opioid therapy, similar tools are lacking in military health settings. Materials and Methods: We conducted a pre-implementation feasibility and needs assessment guided by the Promoting Action Research in Health Services framework. Twenty-six semistructured interviews were conducted with providers from a large military health system (MHS) to assess baseline knowledge and practices in opioid risk mitigation and providers' preferences and needs for a military-based PDMP or other CDS. Results: Military health care providers reported complex decision-making around opioid prescribing and monitoring, varied knowledge and use of existing clinical informatics, and concerns about the feasibility of implementing a military-based PDMP in their context. However, providers indicated a need for training and CDS to support opioid risk mitigation for their patients. Discussion: This article describes providers' knowledge and behaviors around opioid risk mitigation in the MHS, and views on the potential usefulness of a military-based PDMP or other CDS. This pre-implementation study provides a model for using qualitative methods to assess feasibility and inform planning and development of CDS in complex health care settings. Conclusion: Military providers were skeptical regarding the feasibility of MHS-based PDMP implementation, but provided important recommendations for CDS to support safe and appropriate opioid prescribing in military health care.

Indexed as

Attitude of Health PersonnelDecision Support Systems, ClinicalMilitary MedicinePrescription Drug Monitoring ProgramsAnalgesics, OpioidFeasibility StudiesFemaleHumansInterviews as TopicMaleMilitary PersonnelOpioid-Related DisordersPain ManagementPrescription Drug MisuseQualitative ResearchUnited StatesAnalgesics, Opioid

Identifiers

PMID29025024
PMCPMC7646964
OpenAlexW2749842810

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.