Evidence map›Paper›PMID 30658658›Full record

ArticleImplementation science : IS2019

Protocol for evaluating the nationwide implementation of the VA Stratification Tool for Opioid Risk Management (STORM).

Matthew Chinman, Walid F Gellad, Sharon McCarthy, Adam J Gordon, Shari Rogal, Maria K Mor, Leslie R M Hausmann

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in Implementation science : IS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. A call for better validation of opioid overdose risk algorithms.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  8. Barriers to atrial fibrillation ablation during mitral valve surgery.The Journal of thoracic and cardiovascular surgery · 2023
    Article
  9. Article
  10. Assessing opioid overdose risk: a review of clinical prediction models utilizing patient-level data.Translational research : the journal of laboratory and clinical medicine · 2021
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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 4 institutions in 1 country.

Matthew ChinmanVeterans Integrated Service Network 4 Mental Illness Research, Education and Clinical Center, VA Pittsburgh, Pittsburgh, PA, USA. Chinman@rand.org.ORCID 0000-0001-5390-8723
Walid F GelladCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh, Pittsburgh, PA, USA.
Sharon McCarthyVeterans Integrated Service Network 4 Mental Illness Research, Education and Clinical Center, VA Pittsburgh, Pittsburgh, PA, USA.
Adam J GordonProgram for Addiction Research, Clinical Care, Knowledge, and Advocacy, University of Utah School of Medicine, Salt Lake City, UT, USA.
Shari RogalCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh, Pittsburgh, PA, USA.
Maria K MorCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh, Pittsburgh, PA, USA.
Leslie R M HausmannCenter for Health Equity Research and Promotion, Veterans Affairs Pittsburgh, Pittsburgh, PA, USA.
University of Pittsburgh · USVA Pittsburgh Healthcare System · USRAND Corporation · USUniversity of Utah · US

Funding

STORM Implementation Program EvaluationI01HX002389 · VA · VETERANS HEALTH ADMINISTRATION · PI GELLAD, WALID F., HAUSMANN, LESLIE R · 2017 to 2020
–
HSRD VA I01 HX002389HSRD VA SDR 16-193
6 · The paper itself

Abstract

backgroundMitigating the risks of adverse outcomes from opioids is critical. Thus, the Veterans Affairs (VA) Healthcare System developed the Stratification Tool for Opioid Risk Management (STORM), a dashboard to assist clinicians with opioid risk evaluation and mitigation. Updated daily, STORM calculates a "risk score" of adverse outcomes (e.g., suicide-related events, overdoses, overdose death) from variables in the VA medical record for all patients with an opioid prescription and displays this information along with documentation of recommended risk mitigation strategies and non-opioid pain treatments. In March 2018, the VA issued a policy notice requiring VA Medical Centers (VAMCs) to complete case reviews for patients whom STORM identifies as very high-risk (i.e., top 1% of STORM risk scores). Half of VAMCs were randomly assigned notices that also stated that additional support and oversight would be required for VAMCs that failed to meet an established percentage of case reviews. Using a stepped-wedge cluster randomized design, VAMCs will be further randomized to conduct case reviews for an expanded pool of patients (top 5% of STORM risk scores vs. 1%) starting either 9 or 15 months after the notice was released, creating four natural arms. VA commissioned an evaluation to understand the implementation strategies and factors associated with case review completion rates, whose protocol is described in this report.

methodsThis mixed-method study will include an online survey of all VAMCs to identify implementation strategies and interviews at a subset of facilities to identify implementation barriers and facilitators. The survey is based on the Expert Recommendations for Implementing Change (ERIC) project, which engaged experts to create consensus on 73 implementation strategies. We will use regression models to compare the number and types of implementation strategies across arms and their association with case review completion rates. Using questions from the Consolidated Framework for Implementation Research, we will interview stakeholders at 40 VAMCs with the highest and lowest adherence to opioid therapy guidelines. DISCUSSION: By identifying which implementation strategies, barriers, and facilitators influence case reviews to reduce opioid-related adverse outcomes, this unique implementation evaluation will enable the VA to improve the design of future opioid safety initiatives.

trial registrationThis project is registered at the ISRCTN Registry with number ISRCTN16012111 . The trial was first registered on 5/3/2017.

Indexed as

Analgesics, OpioidDrug OverdoseHealth Plan ImplementationHealth PolicyHumansMulticenter Studies as TopicOpioid-Related DisordersOrganizational PolicyRandomized Controlled Trials as TopicRisk ManagementUnited StatesUnited States Department of Veterans AffairsAnalgesics, OpioidFacilitationImplementationOpioids

Identifiers

PMID30658658
PMCPMC6339438
OpenAlexW2910505378

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.