Evidence map›Paper›PMID 30215778›Full record

ArticlePain medicine (Malden, Mass.)2019

Use of Immersive Learning and Simulation Techniques to Teach and Research Opioid Prescribing Practices.

Marissa S Heirich, Lanja S Sinjary, Maisa S Ziadni, Sandra Sacks, Alexandra S Buchanan, Sean C Mackey, Jordan L Newmark

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Pain medicine (Malden, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 19% 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, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Marissa S HeirichDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Systems Neuroscience and Pain Laboratory, Stanford University School of Medicine, Stanford, CA.
Lanja S SinjaryDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Systems Neuroscience and Pain Laboratory, Stanford University School of Medicine, Stanford, CA.
Maisa S ZiadniDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Systems Neuroscience and Pain Laboratory, Stanford University School of Medicine, Stanford, CA.
Sandra SacksDepartment of Anesthesiology, Ronald Regan UCLA Medical Center, Los Angeles, CA.
Alexandra S BuchananCenter for Immersive and Simulation-based Learning, Stanford University School of Medicine, Stanford CA.
Sean C MackeyDivision of Pain Medicine, Department of Anesthesiology, Perioperative and Pain Medicine, Systems Neuroscience and Pain Laboratory, Stanford University School of Medicine, Stanford, CA.
Jordan L NewmarkDepartment of Anesthesiology, Pain and Functional Restoration Clinic, Alameda Health System, Oakland, CA.
Stanford University · USUCLA Medical Center · US

Funding

Interdisciplinary Research Training in Pain and Substance Use DisordersT32DA035165 · NIDA · STANFORD UNIVERSITY · PI SEAN C MACKEY · 2013 to 2026
$7.2M
Neuroimaging and Mentoring in Translational Pain ResearchK24DA029262 · NIDA · STANFORD UNIVERSITY · PI MACKEY, SEAN C · 2010 to 2019
$1.9M
Single Session Pain Catastrophizing Class: Efficacy & Mechanisms for Reducing Opioid Use Among Chronic Pain PatientsK23DA047473 · NIDA · STANFORD UNIVERSITY · PI ZIADNI, MAISA · 2019 to 2023
$796k
NIDA NIH HHS K23 DA047473NIDA NIH HHS K24 DA029262
6 · The paper itself

Abstract

introductionUnsafe opioid prescribing practices to treat acute and chronic pain continue to contribute to the opioid overdose crisis in the United States, a growing public health emergency that harms patients and their communities. Poor opioid prescribing practices stem in part from a lack of education and skills training surrounding pain and opioid management.

methodsAs part of the Clinical Pain Medicine Fellowship at Stanford University, physicians were given the opportunity to participate in a pilot program to practice opioid management in a live, simulated interaction. Twenty-seven physician trainees participated in the simulation with a live, standardized patient actor. Before beginning the simulation, participants were given a detailed patient history that included the patient's risk for opioid abuse. They were also provided with relevant risk evaluation and mitigation (REM) tools. All simulation interactions were video-recorded and coded by two independent reviewers. A detailed coding scheme was developed before video analysis, and an inter-rater reliability score showed substantial agreement between reviewers.

resultsContrary to expectations, many of the observed performances by trainees contained aspects of unsafe opioid prescribing, given the patient history. Many trainees did not discuss their patient's aberrant behaviors related to opioids or the patient's risk for opioid abuse. Marked disparities were also observed between the trainees' active patient interactions and their written progress notes. DISCUSSION: This simulation addresses a pressing need to further educate, train, and provide point-of-care tools for providers prescribing opioids. We present our experience and preliminary findings.

Indexed as

Practice Patterns, Physicians'Analgesics, OpioidEducation, Medical, GraduateHumansPain ManagementPilot ProjectsAnalgesics, Opioid

Identifiers

PMID30215778
PMCPMC6657568
OpenAlexW2891807214

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.