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Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital

PURPOSE: The purpose of the study was to develop and implement an institution-specific trigger tool based on the Institute for Healthcare Improvement medication module trigger tool (IHI MMTT) in order to detect and monitor ADEs. METHODS: We performed an investigator-driven, single-center study using...

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Autores principales: El Saghir, Amina, Dimitriou, Georgios, Scholer, Miriam, Istampoulouoglou, Ioanna, Heinrich, Patrick, Baumgartl, Klaus, Schwendimann, René, Bassetti, Stefano, Leuppi-Taegtmeyer, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713708/
https://www.ncbi.nlm.nih.gov/pubmed/34992466
http://dx.doi.org/10.2147/DHPS.S334987
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author El Saghir, Amina
Dimitriou, Georgios
Scholer, Miriam
Istampoulouoglou, Ioanna
Heinrich, Patrick
Baumgartl, Klaus
Schwendimann, René
Bassetti, Stefano
Leuppi-Taegtmeyer, Anne
author_facet El Saghir, Amina
Dimitriou, Georgios
Scholer, Miriam
Istampoulouoglou, Ioanna
Heinrich, Patrick
Baumgartl, Klaus
Schwendimann, René
Bassetti, Stefano
Leuppi-Taegtmeyer, Anne
author_sort El Saghir, Amina
collection PubMed
description PURPOSE: The purpose of the study was to develop and implement an institution-specific trigger tool based on the Institute for Healthcare Improvement medication module trigger tool (IHI MMTT) in order to detect and monitor ADEs. METHODS: We performed an investigator-driven, single-center study using retrospective and prospective patient data to develop (“development phase”) and implement (“implementation phase”) an efficient, institution-specific trigger tool based on the IHI MMTT. Complete medical data from 1008 patients hospitalized in 2018 were used in the development phase. ADEs were identified by chart review. The performance of two versions of the tool was assessed by comparing their sensitivities and specificities. Tool A employed only digitally extracted triggers (“e-trigger-tool”) while Tool B employed an additional manually extracted trigger. The superior tool – taking efficiency into account – was applied prospectively to 19–22 randomly chosen charts per month for 26 months during the implementation phase. RESULTS: In the development phase, 189 (19%) patients had ≥1 ADE (total 277 ADEs). The time needed to identify these ADEs was 15 minutes/chart. A total of 203 patients had ≥1 trigger (total 273 triggers – Tool B). The sensitivities and specificities of Tools A and B were 0.41 and 0.86, and 0.43 and 0.86, respectively. Tool A was more time-efficient than Tool B (4 vs 9 minutes/chart) and was therefore used in the implementation phase. During the 26-month implementation phase, 22 patients experienced trigger-identified ADEs and 529 did not. The median number of ADEs per 1000 patient days was 6 (range 0–13). Patients with at least one ADE had a mean hospital stay of 22.3 ± 19.7 days, compared to 8.0 ± 7.6 days for those without an ADE (p = 2.7×10(−14)). CONCLUSION: We developed and implemented an e-trigger tool that was specific and moderately sensitive, gave consistent results and required minimal resources.
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spelling pubmed-87137082022-01-05 Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital El Saghir, Amina Dimitriou, Georgios Scholer, Miriam Istampoulouoglou, Ioanna Heinrich, Patrick Baumgartl, Klaus Schwendimann, René Bassetti, Stefano Leuppi-Taegtmeyer, Anne Drug Healthc Patient Saf Original Research PURPOSE: The purpose of the study was to develop and implement an institution-specific trigger tool based on the Institute for Healthcare Improvement medication module trigger tool (IHI MMTT) in order to detect and monitor ADEs. METHODS: We performed an investigator-driven, single-center study using retrospective and prospective patient data to develop (“development phase”) and implement (“implementation phase”) an efficient, institution-specific trigger tool based on the IHI MMTT. Complete medical data from 1008 patients hospitalized in 2018 were used in the development phase. ADEs were identified by chart review. The performance of two versions of the tool was assessed by comparing their sensitivities and specificities. Tool A employed only digitally extracted triggers (“e-trigger-tool”) while Tool B employed an additional manually extracted trigger. The superior tool – taking efficiency into account – was applied prospectively to 19–22 randomly chosen charts per month for 26 months during the implementation phase. RESULTS: In the development phase, 189 (19%) patients had ≥1 ADE (total 277 ADEs). The time needed to identify these ADEs was 15 minutes/chart. A total of 203 patients had ≥1 trigger (total 273 triggers – Tool B). The sensitivities and specificities of Tools A and B were 0.41 and 0.86, and 0.43 and 0.86, respectively. Tool A was more time-efficient than Tool B (4 vs 9 minutes/chart) and was therefore used in the implementation phase. During the 26-month implementation phase, 22 patients experienced trigger-identified ADEs and 529 did not. The median number of ADEs per 1000 patient days was 6 (range 0–13). Patients with at least one ADE had a mean hospital stay of 22.3 ± 19.7 days, compared to 8.0 ± 7.6 days for those without an ADE (p = 2.7×10(−14)). CONCLUSION: We developed and implemented an e-trigger tool that was specific and moderately sensitive, gave consistent results and required minimal resources. Dove 2021-12-24 /pmc/articles/PMC8713708/ /pubmed/34992466 http://dx.doi.org/10.2147/DHPS.S334987 Text en © 2021 El Saghir et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
El Saghir, Amina
Dimitriou, Georgios
Scholer, Miriam
Istampoulouoglou, Ioanna
Heinrich, Patrick
Baumgartl, Klaus
Schwendimann, René
Bassetti, Stefano
Leuppi-Taegtmeyer, Anne
Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital
title Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital
title_full Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital
title_fullStr Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital
title_full_unstemmed Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital
title_short Development and Implementation of an e-Trigger Tool for Adverse Drug Events in a Swiss University Hospital
title_sort development and implementation of an e-trigger tool for adverse drug events in a swiss university hospital
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8713708/
https://www.ncbi.nlm.nih.gov/pubmed/34992466
http://dx.doi.org/10.2147/DHPS.S334987
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