Evidence map›Paper›PMID 29616917›Full record

ArticleThe Permanente journal2018

Naloxone Distribution and Training for Patients with High-Risk Opioid Use in a Veterans Affairs Community-Based Primary Care Clinic.

Katie E Raffel, Leila Y Beach, John Lin, Jacob E Berchuck, Shelly Abram, Elizabeth Markle, Shalini Patel

Open access · greenAbstract read
In one paragraph

Article in The Permanente journal, 2018. 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
1.6field-weighted citation impact, top 17% 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, 9 citations in OpenAlex.

  1. Article
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  4. Review
  5. Observational
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 6 institutions in 1 country.

Katie E RaffelAssistant Professor of Clinical Medicine at the University of California, San Francisco. katie.raffel@ucsf.edu.
Leila Y BeachClinical Instructor at the University of California, San Francisco Medical Center. leila.beach@ucsf.edu.
John LinCenter for Innovation and Implementation Fellow at the Veterans Administration Palo Alto Health Care System and Center for Primary Care Outcomes Research Fellow at Stanford University in Palo Alto, CA. johnklin@stanford.edu.
Jacob E BerchuckClinical Fellow in Hematology and Oncology at the Dana-Farber Cancer Institute in Boston, MA. jberchuck@partners.org.
Shelly AbramLicensed Vocational Nurse at the San Francisco Veterans Administration Medical Center in CA. shelly.abram@va.gov.
Elizabeth MarkleChair and a Professor of Community Mental Health at the California Institute of Integral Studies in San Francisco. liz@opensourcewellness.org.
Shalini PatelAssociate Professor of Clinical Medical at the University of California, San Francisco Medical Center and at the San Francisco Veterans Administration Medical Center in CA. shalini.patel@ucsf.edu.
San Francisco VA Medical Center · USCalifornia Institute of Integral Studies · USDana-Farber Cancer Institute · USUniversity of California, San Francisco · USUniversity of California San Francisco Medical Center · USVA Palo Alto Health Care System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextNaloxone distribution has historically been implemented in a community-based, expanded public health model; however, there is now a need to further explore primary care clinic-based naloxone delivery to effectively address the nationwide opioid epidemic.

objectiveTo create a general medicine infrastructure to identify patients with high-risk opioid use and provide 25% of this population with naloxone autoinjector prescription and training within a 6-month period.

designThe quality improvement study was conducted at an outpatient clinic serving 1238 marginally housed veterans with high rates of comorbid substance use and mental health disorders. Patients at high risk of opioid-related adverse events were identified using the Stratification Tool for Opioid Risk Management and were contacted to participate in a one-on-one, 15-minute, hands-on naloxone training led by nursing staff.

main outcome measuresThe number of patients identified at high risk and rates of naloxone training/distribution.

resultsThere were 67 patients identified as having high-risk opioid use. None of these patients had been prescribed naloxone at baseline. At the end of the intervention, 61 patients (91%) had been trained in the use of naloxone. Naloxone was primarily distributed by licensed vocational nurses (42/61, 69%).

conclusionThis study demonstrates the feasibility of high-risk patient identification and of a primary care-based and nursing-championed naloxone distribution model. This delivery model has the potential to provide access to naloxone to a population of patients with opioid use who may not be engaged in mental health or specialty care.

Indexed as

Ambulatory Care FacilitiesFemaleHumansLicensed Practical NursesMaleMental DisordersNaloxoneNarcotic AntagonistsOpioid-Related DisordersPatient Education as TopicPrimary Health CareQuality ImprovementUnited StatesUnited States Department of Veterans AffairsNaloxoneNarcotic Antagonists

Identifiers

PMID29616917
PMCPMC5882191
OpenAlexW2790954030

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.