Evidence map›Paper›PMID 21697293›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

How to improve the delivery of medication alerts within computerized physician order entry systems: an international Delphi study.

Daniel Riedmann, Martin Jung, Werner O Hackl, Elske Ammenwerth

Abstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. The potential for leveraging machine learning to filter medication alerts.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  3. Review
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  11. Cost-effectiveness of a computerized provider order entry system in improving medication safety ambulatory care.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2014
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Computerized provider-order entry: challenges, achievements, and opportunities.Journal of the American Medical Informatics Association : JAMIA
    Article
  17. Electronic health record functionality needed to better support primary care.Journal of the American Medical Informatics Association : JAMIA
    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

4 authors.

Daniel RiedmannInstitute for Medical Informatics, UMIT-University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
Martin Jung
Werner O Hackl
Elske Ammenwerth

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine what information can be helpful in prioritizing and presenting medication alerts according to the context of the clinical situation. To assess the usefulness of different ways of delivering medication alerts to the user.

designAn international Delphi study with two quantitative rounds. 69 researchers with expertise in computerized physician order entry (CPOE) systems were asked to estimate the usefulness of 20 possible context factors, and to assess the potential impact of six innovative ways of delivering alert information on adverse drug event (ADE) rates.

resultsParticipants identified the following top five context information items (in descending order of usefulness): (1) severity of the effect of the ADE the alert refers to; (2) clinical status of the patient; (3) probability of occurrence of the ADE the alert refers to; (4) risk factors of the patient; and (5) strength of evidence on which the alert is built. The ways of delivering alert information with the highest estimated ADE reduction potential are active alerting, proactive prescription simulation and a patient medication module that gives patient-oriented alert information. LIMITATIONS: Most participants had a research-oriented focus; therefore the results may not reflect the opinions of CPOE users or CPOE implementers.

conclusionThe study results may provide CPOE system developers and healthcare institutions with information on how to design more effective alert mechanisms.

Indexed as

Attitude of Health PersonnelMedical Order Entry SystemsDelphi TechniqueDrug-Related Side Effects and Adverse ReactionsHumansMedication ErrorsMethodsPatient SafetyReminder Systems

Identifiers

PMID21697293
PMCPMC3197982

What OpenQuestion holds

Textmetadata
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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.