Evidence map›Paper›PMID 24928174›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Don't fuel the fire: decreasing intravenous haloperidol use in high risk patients via a customized electronic alert.

Jonathan Michael Pell, Dora Cheung, Michael A Jones, Ethan Cumbler

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  7. Article
  8. Cranky comments: detecting clinical decision support malfunctions through free-text override reasons.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  9. Article
  10. Reining in the QTc: reducing the risk of Torsades de Pointes across a major health system.Journal of the American Medical Informatics Association : JAMIA · 2018
    Article
  11. Review
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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

4 authors at 2 institutions in 1 country.

Jonathan Michael PellDivision of General Internal Medicine, Department of Internal Medicine, University of Colorado Denver, School of Medicine, Aurora, Colorado, USA.
Dora CheungDepartment of Internal Medicine, University of Colorado Hospital, Aurora, Colorado, USA.
Michael A JonesUniversity of Colorado Hospital, Aurora, Colorado, USA.
Ethan CumblerDivision of General Internal Medicine, Hospital Medicine Group, University of Colorado Hospital, Aurora, Colorado, USA.
University of Colorado Denver · USUniversity of Colorado Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delivering useful clinical decision support to providers who are ordering high risk drugs for high risk patients is imperative for safe pharmacotherapy. This paper presents a focused electronic clinical decision support intervention designed to decrease the risk of corrected QT interval (QTc) related adverse drug events in a high risk patient population. Results showed that a customized alert can both decrease the number of alerts sent to providers while still improving the safety of prescribing practices for intravenous haloperidol. The alert leveraged components of the electronic health record to significantly decrease the rate of inappropriate prescription of intravenous haloperidol in patients with QTc >500 ms from 50% to 14%. The results also suggest providers may abandon the appropriate prescription of a medication in response to an alert. The findings support the necessity of careful targeting of electronic alerts and monitoring for unintended consequences when implementing these types of electronic alerts.

Indexed as

Medical Order Entry SystemsOff-Label UseDecision Support Systems, ClinicalElectronic Health RecordsHaloperidolHumansInappropriate PrescribingInfusions, IntravenousPractice Patterns, Physicians'Reminder SystemsRiskHaloperidol

Identifiers

PMID24928174
PMCPMC4215057
OpenAlexW2154350154

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.