Evidence map›Paper›PMID 32016407›Full record

Trial reportJournal of the American Medical Informatics Association : JAMIA2020

How the presentation of patient information and decision-support advisories influences opioid prescribing behavior: A simulation study.

Mustafa I Hussain, Ariana M Nelson, Brent G Yeung, Lauren Sukumar, Kai Zheng

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Journal of the American Medical Informatics Association : JAMIA, 2020. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Hot topics in clinical informatics.Journal of the American Medical Informatics Association : JAMIA · 2020
    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

5 authors.

Mustafa I HussainDepartment of Informatics, University of California, Irvine, Irvine, California, USA.
Ariana M NelsonDepartment of Anesthesiology and Perioperative Care, School of Medicine, University of California, Irvine, Irvine, California, USA.
Brent G YeungDepartment of Anesthesiology and Perioperative Care, School of Medicine, University of California, Irvine, Irvine, California, USA.
Lauren SukumarDepartments of Computer Science and Information Systems and Decision Sciences, California State University, Fullerton, Fullerton, California, USA.
Kai ZhengDepartment of Informatics, University of California, Irvine, Irvine, California, USA.

Funding

University of California Health Participation in the National COVID Cohort Collaborative (N3C)UL1TR001414 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M, VILAIN, ERIC J. · 2015 to 2023
$35.1M
NCATS NIH HHS UL1 TR001414
6 · The paper itself

Abstract

objectiveThe United States faces an opioid crisis. Integrating prescription drug monitoring programs into electronic health records offers promise to improve opioid prescribing practices. This study aimed to evaluate 2 different user interface designs for prescription drug monitoring program and electronic health record integration. MATERIALS AND

methodsTwenty-four resident physicians participated in a randomized controlled experiment using 4 simulated patient cases. In the conventional condition, prescription opioid histories were presented in tabular format, and computerized clinical decision support (CDS) was provided via interruptive modal dialogs (ie, pop-ups). The alternative condition featured a graphical opioid history, a cue to visit that history, and noninterruptive CDS. Two attending pain specialists judged prescription appropriateness.

resultsParticipants in the alternative condition wrote more appropriate prescriptions. When asked after the experiment, most participants stated that they preferred the alternative design to the conventional design.

conclusionsHow patient information and CDS are presented appears to have a significant influence on opioid prescribing behavior.

Indexed as

Decision Support Systems, ClinicalElectronic Health RecordsPractice Patterns, Physicians'Prescription Drug Monitoring ProgramsSystems IntegrationUser-Computer InterfaceAnalgesics, OpioidDrug PrescriptionsHumansInternship and ResidencyMedical Order Entry SystemsPain ManagementUnited StatesAnalgesics, Opioidclinicaldecision support systemsmedical order entry systemspain managementprescription drug monitoring programsuser-computer interface

Identifiers

PMID32016407
PMCPMC7075535

What Socratic 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 Socratic graph.