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Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events
The purpose of this study was to evaluate perioperative medication-related incidents (medication errors (MEs) and/or adverse medication events (AMEs)) identified by 2 different reporting methods (self-report and direct observation), and to compare the types and severity of incidents identified by ea...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646678/ https://www.ncbi.nlm.nih.gov/pubmed/36343025 http://dx.doi.org/10.1097/MD.0000000000031432 |
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author | Stipp, Melanie M. Deng, Hao Kong, Kathy Moore, Sonya Hickman, Ron L. Nanji, Karen C. |
author_facet | Stipp, Melanie M. Deng, Hao Kong, Kathy Moore, Sonya Hickman, Ron L. Nanji, Karen C. |
author_sort | Stipp, Melanie M. |
collection | PubMed |
description | The purpose of this study was to evaluate perioperative medication-related incidents (medication errors (MEs) and/or adverse medication events (AMEs)) identified by 2 different reporting methods (self-report and direct observation), and to compare the types and severity of incidents identified by each method. We compared perioperative medication-related incidents identified by direct observation in Nanji et al’s 2016 study([1]) to those identified by self-report via a facilitated incident reporting system at the same 1046-bed tertiary care academic medical center during the same 8-month period. Incidents, including MEs and AMEs were classified by type and severity. In 277 operations involving 3671 medication administrations, 193 MEs and/or AMEs were observed (5.3% incident rate). While none of the observed incidents were self-reported, 10 separate medication-related incidents were self-reported from different (unobserved) operations that occurred during the same time period, which involved a total of 21,576 operations and approximately 280,488 medication administrations (0.004% self-reported incident rate). The distribution of incidents (ME, AME, or both) did not differ by direct observation versus self-report methodology. The types of MEs identified by direct observation differed from those identified by self-report (P = .005). Specifically, the most frequent types of MEs identified by direct observation were labeling errors (N = 37; 24.2%), wrong dose errors (N = 35; 22.9%) and errors of omission (N = 27; 17.6%). The most frequent types of MEs identified by self-report were wrong dose (N = 5; 50%) and wrong medication (N = 4; 40%). The severity of incidents identified by direct observation and self-report differed, with self-reported incidents having a higher average severity (P < .001). The procedure types associated with medication-related incidents did not differ by direct observation versus self-report methodology. Direct observation captured many more perioperative medication-related incidents than self-report. The ME types identified and their severity differed between the 2 methods, with a higher average incident severity in the self-reported data. |
format | Online Article Text |
id | pubmed-9646678 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-96466782022-11-14 Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events Stipp, Melanie M. Deng, Hao Kong, Kathy Moore, Sonya Hickman, Ron L. Nanji, Karen C. Medicine (Baltimore) 3300 The purpose of this study was to evaluate perioperative medication-related incidents (medication errors (MEs) and/or adverse medication events (AMEs)) identified by 2 different reporting methods (self-report and direct observation), and to compare the types and severity of incidents identified by each method. We compared perioperative medication-related incidents identified by direct observation in Nanji et al’s 2016 study([1]) to those identified by self-report via a facilitated incident reporting system at the same 1046-bed tertiary care academic medical center during the same 8-month period. Incidents, including MEs and AMEs were classified by type and severity. In 277 operations involving 3671 medication administrations, 193 MEs and/or AMEs were observed (5.3% incident rate). While none of the observed incidents were self-reported, 10 separate medication-related incidents were self-reported from different (unobserved) operations that occurred during the same time period, which involved a total of 21,576 operations and approximately 280,488 medication administrations (0.004% self-reported incident rate). The distribution of incidents (ME, AME, or both) did not differ by direct observation versus self-report methodology. The types of MEs identified by direct observation differed from those identified by self-report (P = .005). Specifically, the most frequent types of MEs identified by direct observation were labeling errors (N = 37; 24.2%), wrong dose errors (N = 35; 22.9%) and errors of omission (N = 27; 17.6%). The most frequent types of MEs identified by self-report were wrong dose (N = 5; 50%) and wrong medication (N = 4; 40%). The severity of incidents identified by direct observation and self-report differed, with self-reported incidents having a higher average severity (P < .001). The procedure types associated with medication-related incidents did not differ by direct observation versus self-report methodology. Direct observation captured many more perioperative medication-related incidents than self-report. The ME types identified and their severity differed between the 2 methods, with a higher average incident severity in the self-reported data. Lippincott Williams & Wilkins 2022-11-04 /pmc/articles/PMC9646678/ /pubmed/36343025 http://dx.doi.org/10.1097/MD.0000000000031432 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. |
spellingShingle | 3300 Stipp, Melanie M. Deng, Hao Kong, Kathy Moore, Sonya Hickman, Ron L. Nanji, Karen C. Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events |
title | Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events |
title_full | Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events |
title_fullStr | Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events |
title_full_unstemmed | Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events |
title_short | Medication safety in the perioperative setting: A comparison of methods for detecting medication errors and adverse medication events |
title_sort | medication safety in the perioperative setting: a comparison of methods for detecting medication errors and adverse medication events |
topic | 3300 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646678/ https://www.ncbi.nlm.nih.gov/pubmed/36343025 http://dx.doi.org/10.1097/MD.0000000000031432 |
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