Evidence map›Paper›PMID 31984336›Full record

ArticleJAMIA open2018

Learning optimal opioid prescribing and monitoring: a simulation study of medical residents.

Thomas G Kannampallil, Robert McNutt, Suzanne Falck, William L Galanter, Dave Patterson, Houshang Darabi, Ashkan Sharabiani, Gordon Schiff, Richard Odwazny, Allen J Vaida and 2 more

Open access · goldAbstract read
In one paragraph

Article in JAMIA open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. 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

12 authors at 6 institutions in 2 countries.

Thomas G KannampallilDepartment of Family Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Robert McNuttDepartment of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Suzanne FalckDepartment of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
William L GalanterDepartment of Medicine, College of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Dave PattersonDiscerning Systems Inc., Burnaby, British Columbia, Canada.
Houshang DarabiDepartment of Mechanical & Industrial Engineering, College of Engineering, University of Illinois at Chicago, Chicago, Illinois, USA.
Ashkan SharabianiDepartment of Mechanical & Industrial Engineering, College of Engineering, University of Illinois at Chicago, Chicago, Illinois, USA.
Gordon SchiffDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Richard OdwaznyIndependent Consultant, Chicago, Illinois, USA.
Allen J VaidaInstitute for Safe Medication Practices, Horsham, Pennsylvania, USA.
Diana J WilkieCenter for Palliative Care Research and Education, College of Nursing, University of Florida, Gainesville, Florida.
Bruce L LambertCenter for Communication and Health, Department of Communication Studies, Northwestern University, Chicago, Illinois, USA.
University of Illinois Chicago · USBrigham and Women's Hospital · USD-Wave Systems (Canada) · CAInstitute for Safe Medication Practices · USNorthwestern University · USUniversity of Florida · US

Funding

Tools for Optimizing Medication Safety (TOP-MEDS)U19HS021093 · AHRQ · UNIVERSITY OF ILLINOIS AT CHICAGO · PI LAMBERT, BRUCE L. · 2011 to 2015
$4.3M
AHRQ HHS U19 HS021093
6 · The paper itself

Abstract

objectiveHospitalized patients often receive opioids. There is a lack of consensus regarding evidence-based guidelines or training programs for effective management of pain in the hospital. We investigated the viability of using an Internet-based opioid dosing simulator to teach residents appropriate use of opioids to treat and manage acute pain. MATERIALS AND

methodsWe used a prospective, longitudinal design to evaluate the effects of simulator training. In face-to-face didactic sessions, we taught 120 (108 internal medicine and 12 family medicine) residents principles of pain management and how to use the simulator. Each trainee completed 10 training and, subsequently, 5 testing trials on the simulator. For each trial, we collected medications, doses, routes and times of administration, pain scores, and a summary score. We used mixed-effects regression models to assess the impact of simulation training on simulation performance scores, variability in pain score trajectories, appropriate use of short- and long-acting opioids, and use of naloxone.

resultsTrainees completed 1582 simulation trials ( DISCUSSION AND

conclusionsTrainees translated their understanding of didactically presented principles of pain management to their performance on simulated patient cases. Simulation-based training presents an opportunity for improving opioid-based inpatient acute pain management.

Indexed as

pain managementpatient safetysimulationtraining

Identifiers

PMID31984336
PMCPMC6951957
OpenAlexW2810514665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.