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Use of a trigger tool to detect adverse drug reactions in an emergency department

Overview of attention for article published in BMC Pharmacology and Toxicology, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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15 X users

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Title
Use of a trigger tool to detect adverse drug reactions in an emergency department
Published in
BMC Pharmacology and Toxicology, November 2017
DOI 10.1186/s40360-017-0177-y
Pubmed ID
Authors

Silvana Maria de Almeida, Aruana Romualdo, Andressa de Abreu Ferraresi, Giovana Roberta Zelezoglo, Alexandre R. Marra, Michael B. Edmond

Abstract

Although there are systems for reporting adverse drug reactions (ADR), these safety events remain under reported. The low-cost, low-tech trigger tool method is based on the detection of events through clues, and it seems to increase the detection of adverse events compared to traditional methodologies. This study seeks to estimate the prevalence of adverse reactions to drugs in patients seeking care in the emergency department. Retrospective study from January to December, 2014, applying the Institute for Healthcare Improvement (IHI) trigger tool methodology for patients treated at the emergency room of a tertiary care hospital. The estimated prevalence of adverse reactions in patients presenting to the emergency department was 2.3% [CI95 1.3% to 3.3%]; 28.6% of cases required hospitalization at an average cost of US$ 5698.44. The most common triggers were hydrocortisone (57% of the cases), diphenhydramine (14%) and fexofenadine (14%). Anti-infectives (19%), cardiovascular agents (14%), and musculoskeletal drugs (14%) were the most common causes of adverse reactions. According to the Naranjo Scale, 71% were classified as possible and 29% as probable. There was no association between adverse reactions and age and sex in the present study. The use of the trigger tool to identify adverse reactions in the emergency department was possible to identify a prevalence of 2.3%. It showed to be a viable method that can provide a better understanding of adverse drug reactions in this patient population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 15%
Researcher 10 11%
Student > Ph. D. Student 8 9%
Student > Bachelor 8 9%
Student > Postgraduate 5 5%
Other 14 15%
Unknown 35 37%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 23 24%
Medicine and Dentistry 17 18%
Nursing and Health Professions 4 4%
Chemistry 3 3%
Arts and Humanities 1 1%
Other 7 7%
Unknown 39 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 January 2019.
All research outputs
#3,367,304
of 24,172,513 outputs
Outputs from BMC Pharmacology and Toxicology
#61
of 461 outputs
Outputs of similar age
#61,317
of 329,150 outputs
Outputs of similar age from BMC Pharmacology and Toxicology
#4
of 16 outputs
Altmetric has tracked 24,172,513 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 461 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.