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Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative

PURPOSE: To develop a reliable assessment tool to monitor the quality of adverse drug reaction (ADR) reports and evaluate its performance within a quaternary hospital setting. METHODS: Adverse drug reactions report QUality Algorithm (AQUA-12) was developed by a multidisciplinary team with the expert...

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Autores principales: Aung, Ar Kar, Zubrinich, Celia M., Goh, Michelle S. Y., Snyder, Benjamin, Tang, Mei Jie, Khu, Cindy Y. L., Lee, Jennifer I., Graudins, Linda V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038939/
https://www.ncbi.nlm.nih.gov/pubmed/36806970
http://dx.doi.org/10.1007/s00228-023-03457-9
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author Aung, Ar Kar
Zubrinich, Celia M.
Goh, Michelle S. Y.
Snyder, Benjamin
Tang, Mei Jie
Khu, Cindy Y. L.
Lee, Jennifer I.
Graudins, Linda V.
author_facet Aung, Ar Kar
Zubrinich, Celia M.
Goh, Michelle S. Y.
Snyder, Benjamin
Tang, Mei Jie
Khu, Cindy Y. L.
Lee, Jennifer I.
Graudins, Linda V.
author_sort Aung, Ar Kar
collection PubMed
description PURPOSE: To develop a reliable assessment tool to monitor the quality of adverse drug reaction (ADR) reports and evaluate its performance within a quaternary hospital setting. METHODS: Adverse drug reactions report QUality Algorithm (AQUA-12) was developed by a multidisciplinary team with the expertise in the management of ADRs. The design was based on data elements required to establish medication causality. Inter-rater reliability of AQUA-12 was evaluated over three rounds in two phases: development and prospective evaluation phases, by independent assessors both internal and external to the institutional ADR review processes. The characteristics and quality of ADR reports were subsequently assessed, and potential factors contributing to low-quality reports were identified. RESULTS: A total of 70 ADR reports were assessed, 20 in development and 50 in evaluation phases. The inter-rater reliability of AQUA-12 was found to be excellent in all three rounds (Cronbach’s alpha of  ≥ 0.9, p < 0.001 for all). Approximately one in five reports concerned immediate hypersensitivity reactions while delayed hypersensitivity reactions constituted 60% of all reactions. AQUA-12 identified 18 (25.7%) reports as ‘low-quality’ with a score of  < 10. Identification of suspected medications (37.1%), description of index ADR (27.1%), and key events (ADR narrative, 35.7%) were the top data elements incomplete or missing from all reports. Univariable analyses identified the severity of the reaction as a factor associated with low quality of reports (p = 0.008). CONCLUSIONS: AQUA-12 is a practical and highly reliable assessment tool that can be utilised in hospital settings to regularly monitor the completeness of ADR reports to guide quality improvement initiatives.
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spelling pubmed-100389392023-03-26 Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative Aung, Ar Kar Zubrinich, Celia M. Goh, Michelle S. Y. Snyder, Benjamin Tang, Mei Jie Khu, Cindy Y. L. Lee, Jennifer I. Graudins, Linda V. Eur J Clin Pharmacol Research PURPOSE: To develop a reliable assessment tool to monitor the quality of adverse drug reaction (ADR) reports and evaluate its performance within a quaternary hospital setting. METHODS: Adverse drug reactions report QUality Algorithm (AQUA-12) was developed by a multidisciplinary team with the expertise in the management of ADRs. The design was based on data elements required to establish medication causality. Inter-rater reliability of AQUA-12 was evaluated over three rounds in two phases: development and prospective evaluation phases, by independent assessors both internal and external to the institutional ADR review processes. The characteristics and quality of ADR reports were subsequently assessed, and potential factors contributing to low-quality reports were identified. RESULTS: A total of 70 ADR reports were assessed, 20 in development and 50 in evaluation phases. The inter-rater reliability of AQUA-12 was found to be excellent in all three rounds (Cronbach’s alpha of  ≥ 0.9, p < 0.001 for all). Approximately one in five reports concerned immediate hypersensitivity reactions while delayed hypersensitivity reactions constituted 60% of all reactions. AQUA-12 identified 18 (25.7%) reports as ‘low-quality’ with a score of  < 10. Identification of suspected medications (37.1%), description of index ADR (27.1%), and key events (ADR narrative, 35.7%) were the top data elements incomplete or missing from all reports. Univariable analyses identified the severity of the reaction as a factor associated with low quality of reports (p = 0.008). CONCLUSIONS: AQUA-12 is a practical and highly reliable assessment tool that can be utilised in hospital settings to regularly monitor the completeness of ADR reports to guide quality improvement initiatives. Springer Berlin Heidelberg 2023-02-20 2023 /pmc/articles/PMC10038939/ /pubmed/36806970 http://dx.doi.org/10.1007/s00228-023-03457-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Aung, Ar Kar
Zubrinich, Celia M.
Goh, Michelle S. Y.
Snyder, Benjamin
Tang, Mei Jie
Khu, Cindy Y. L.
Lee, Jennifer I.
Graudins, Linda V.
Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative
title Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative
title_full Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative
title_fullStr Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative
title_full_unstemmed Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative
title_short Development and application of Adverse drug reactions reports QUality Algorithm (AQUA-12) score: a single-centre quality improvement initiative
title_sort development and application of adverse drug reactions reports quality algorithm (aqua-12) score: a single-centre quality improvement initiative
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10038939/
https://www.ncbi.nlm.nih.gov/pubmed/36806970
http://dx.doi.org/10.1007/s00228-023-03457-9
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