Evidence map›Paper›PMID 25024753›Full record

ArticleApplied clinical informatics2014

Presenting multiple drug alerts in an ambulatory electronic prescribing system: a usability study of novel prototypes.

M Xie, M B Weinger, W M Gregg, K B Johnson

Abstract read
In one paragraph

Article in Applied clinical informatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

4 authors.

M XieDepartment of Biomedical Informatics, School of Medicine, Vanderbilt University , Nashville, TN 37232, USA ; Informatics Center, Vanderbilt University , Nashville, TN 37232, USA.
M B WeingerDepartment of Biomedical Informatics, School of Medicine, Vanderbilt University , Nashville, TN 37232, USA ; Department of Anesthesiology & Center for Perioperative Research in Quality, School of Medicine, Vanderbilt University , Nashville, TN 37232, USA.
W M GreggDepartment of Biomedical Informatics, School of Medicine, Vanderbilt University , Nashville, TN 37232, USA ; Division of General Internal Medicine and Public Health, Department of Medicine, School of Medicine, Vanderbilt University , Nashville, TN 37232, USA.
K B JohnsonDepartment of Biomedical Informatics, School of Medicine, Vanderbilt University , Nashville, TN 37232, USA ; Department of Pediatrics, School of Medicine, Vanderbilt University , Nashville, TN 37232, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study explores alternative approaches to the display of drug alerts, and examines whether and how human-factors based interface design can be used to improve the prescriber's perception about drug alert presentation, signal detection from noisy alert data, and their comprehension of clinical decision support during electronic prescribing.

methodsWe reviewed issues with presenting multiple drug alerts in electronic prescribing systems. User-centered design, consisting of iterative usability and prototype testing was applied. After an iterative design phase, we proposed several novel drug alert presentation interfaces; expert evaluation and formal usability testing were applied to access physician prescribers' perceptions of the tools. We mapped drug alert attributes to different interface constructs. We examined four different interfaces for presenting multiple drug alerts.

resultsA TreeDashboard View was better perceived than a text-based ScrollText View with respect to the ability to detect critical information, the ability to accomplish tasks, and the perceptional efficacy of finding information.

conclusionA robust model for studying multiple drug-alert presentations was developed. Several drug alert presentation interfaces were proposed. The TreeDashboard View was better perceived than the text-based ScrollText View in delivering multiple drug alerts during a simulation of electronic prescribing.

Indexed as

Electronic PrescribingMedical Order Entry SystemsAmbulatory CareDatabases, PharmaceuticalDecision Support Systems, ClinicalHumansUser-Computer Interfaceadverse drug eventclinical decision supportdrug alertElectronic prescribinguser interface

Identifiers

PMID25024753
PMCPMC4081740

What OpenQuestion holds

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Registered trials

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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.