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Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?

Background: Detecting and managing antimicrobial drug interactions (ADIs) is one of the facets of prudent antimicrobial prescribing. Our aim is to compare the capability of several electronic drug–drug interaction (DDI) checkers to detect and report ADIs. Methods: Six electronic DDI checking platfor...

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Autores principales: Morte-Romea, Elena, Luque-Gómez, Pilar, Arenere-Mendoza, Mercedes, Sierra-Monzón, Jose Luis, Camón Pueyo, Ana, Pellejero Sagastizabal, Galadriel, Verdejo Muñoz, Guillermo, Sánchez Fabra, David, Paño-Pardo, José Ramón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167986/
https://www.ncbi.nlm.nih.gov/pubmed/31947911
http://dx.doi.org/10.3390/antibiotics9010019
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author Morte-Romea, Elena
Luque-Gómez, Pilar
Arenere-Mendoza, Mercedes
Sierra-Monzón, Jose Luis
Camón Pueyo, Ana
Pellejero Sagastizabal, Galadriel
Verdejo Muñoz, Guillermo
Sánchez Fabra, David
Paño-Pardo, José Ramón
author_facet Morte-Romea, Elena
Luque-Gómez, Pilar
Arenere-Mendoza, Mercedes
Sierra-Monzón, Jose Luis
Camón Pueyo, Ana
Pellejero Sagastizabal, Galadriel
Verdejo Muñoz, Guillermo
Sánchez Fabra, David
Paño-Pardo, José Ramón
author_sort Morte-Romea, Elena
collection PubMed
description Background: Detecting and managing antimicrobial drug interactions (ADIs) is one of the facets of prudent antimicrobial prescribing. Our aim is to compare the capability of several electronic drug–drug interaction (DDI) checkers to detect and report ADIs. Methods: Six electronic DDI checking platforms were evaluated: Drugs.com(®), Medscape(®), Epocrates(®), Medimecum(®), iDoctus(®), and Guía IF(®). Lexicomp(®) Drug Interactions was selected as the gold standard. Ten ADIs addressing different mechanisms were evaluated with every electronic DDI checker. For each ADI, we assessed five dimensions and calculated an overall performance score (maximum possible score: 10 points). The explored dimensions were sensitivity (capability to detect ADI), clinical effect (type and severity), mechanism of interaction, recommended action(s), and documentation (quality of evidence and availability of references). Results: The electronic DDI checkers did not detect a significant proportion of the ADI assessed. The overall performance score ranged between 4.4 (Medimecum) and 8.8 (Drugs.com). Drugs.com was the highest ranked platform in four out of five dimensions (sensitivity, effect, mechanism, and recommended action). Conclusions: There is significant variability in the performance of the available platforms in detecting and assessing ADI. Although some ADI checkers have proven to be very accurate, others missed almost half of the explored interactions.
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spelling pubmed-71679862020-04-21 Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal? Morte-Romea, Elena Luque-Gómez, Pilar Arenere-Mendoza, Mercedes Sierra-Monzón, Jose Luis Camón Pueyo, Ana Pellejero Sagastizabal, Galadriel Verdejo Muñoz, Guillermo Sánchez Fabra, David Paño-Pardo, José Ramón Antibiotics (Basel) Article Background: Detecting and managing antimicrobial drug interactions (ADIs) is one of the facets of prudent antimicrobial prescribing. Our aim is to compare the capability of several electronic drug–drug interaction (DDI) checkers to detect and report ADIs. Methods: Six electronic DDI checking platforms were evaluated: Drugs.com(®), Medscape(®), Epocrates(®), Medimecum(®), iDoctus(®), and Guía IF(®). Lexicomp(®) Drug Interactions was selected as the gold standard. Ten ADIs addressing different mechanisms were evaluated with every electronic DDI checker. For each ADI, we assessed five dimensions and calculated an overall performance score (maximum possible score: 10 points). The explored dimensions were sensitivity (capability to detect ADI), clinical effect (type and severity), mechanism of interaction, recommended action(s), and documentation (quality of evidence and availability of references). Results: The electronic DDI checkers did not detect a significant proportion of the ADI assessed. The overall performance score ranged between 4.4 (Medimecum) and 8.8 (Drugs.com). Drugs.com was the highest ranked platform in four out of five dimensions (sensitivity, effect, mechanism, and recommended action). Conclusions: There is significant variability in the performance of the available platforms in detecting and assessing ADI. Although some ADI checkers have proven to be very accurate, others missed almost half of the explored interactions. MDPI 2020-01-04 /pmc/articles/PMC7167986/ /pubmed/31947911 http://dx.doi.org/10.3390/antibiotics9010019 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Morte-Romea, Elena
Luque-Gómez, Pilar
Arenere-Mendoza, Mercedes
Sierra-Monzón, Jose Luis
Camón Pueyo, Ana
Pellejero Sagastizabal, Galadriel
Verdejo Muñoz, Guillermo
Sánchez Fabra, David
Paño-Pardo, José Ramón
Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?
title Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?
title_full Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?
title_fullStr Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?
title_full_unstemmed Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?
title_short Performance Assessment of Software to Detect and Assist Prescribers with Antimicrobial Drug Interactions: Are all of them Created Equal?
title_sort performance assessment of software to detect and assist prescribers with antimicrobial drug interactions: are all of them created equal?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167986/
https://www.ncbi.nlm.nih.gov/pubmed/31947911
http://dx.doi.org/10.3390/antibiotics9010019
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