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Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals
INTRODUCTION: Medication reconciliation errors (MREs) are common and can lead to significant patient harm. Quality improvement efforts to identify and reduce these errors typically rely on resource-intensive chart reviews or adverse event reporting. Quantifying these errors hospital-wide is complica...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322521/ https://www.ncbi.nlm.nih.gov/pubmed/34345749 http://dx.doi.org/10.1097/pq9.0000000000000436 |
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author | Morse, Keith E. Chadwick, Whitney A. Paul, Wendy Haaland, Wren Pageler, Natalie M. Tarrago, Rod |
author_facet | Morse, Keith E. Chadwick, Whitney A. Paul, Wendy Haaland, Wren Pageler, Natalie M. Tarrago, Rod |
author_sort | Morse, Keith E. |
collection | PubMed |
description | INTRODUCTION: Medication reconciliation errors (MREs) are common and can lead to significant patient harm. Quality improvement efforts to identify and reduce these errors typically rely on resource-intensive chart reviews or adverse event reporting. Quantifying these errors hospital-wide is complicated and rarely done. The purpose of this study is to define a set of 6 MREs that can be easily identified across an entire healthcare organization and report their prevalence at 2 pediatric hospitals. METHODS: An algorithmic analysis of discharge medication lists and confirmation by clinician reviewers was used to find the prevalence of the 6 discharge MREs at 2 pediatric hospitals. These errors represent deviations from the standards for medication instruction completeness, clarity, and safety. The 6 error types are Duplication, Missing Route, Missing Dose, Missing Frequency, Unlisted Medication, and See Instructions errors. RESULTS: This study analyzed 67,339 discharge medications and detected MREs commonly at both hospitals. For Institution A, a total of 4,234 errors were identified, with 29.9% of discharges containing at least one error and an average of 0.7 errors per discharge. For Institution B, a total of 5,942 errors were identified, with 42.2% of discharges containing at least 1 error and an average of 1.6 errors per discharge. The most common error types were Duplication and See Instructions errors. CONCLUSION: The presented method shows these MREs to be a common finding in pediatric care. This work offers a tool to strengthen hospital-wide quality improvement efforts to reduce pediatric medication errors. |
format | Online Article Text |
id | pubmed-8322521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-83225212021-08-02 Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals Morse, Keith E. Chadwick, Whitney A. Paul, Wendy Haaland, Wren Pageler, Natalie M. Tarrago, Rod Pediatr Qual Saf Multi-institutional collaborative and QI network research INTRODUCTION: Medication reconciliation errors (MREs) are common and can lead to significant patient harm. Quality improvement efforts to identify and reduce these errors typically rely on resource-intensive chart reviews or adverse event reporting. Quantifying these errors hospital-wide is complicated and rarely done. The purpose of this study is to define a set of 6 MREs that can be easily identified across an entire healthcare organization and report their prevalence at 2 pediatric hospitals. METHODS: An algorithmic analysis of discharge medication lists and confirmation by clinician reviewers was used to find the prevalence of the 6 discharge MREs at 2 pediatric hospitals. These errors represent deviations from the standards for medication instruction completeness, clarity, and safety. The 6 error types are Duplication, Missing Route, Missing Dose, Missing Frequency, Unlisted Medication, and See Instructions errors. RESULTS: This study analyzed 67,339 discharge medications and detected MREs commonly at both hospitals. For Institution A, a total of 4,234 errors were identified, with 29.9% of discharges containing at least one error and an average of 0.7 errors per discharge. For Institution B, a total of 5,942 errors were identified, with 42.2% of discharges containing at least 1 error and an average of 1.6 errors per discharge. The most common error types were Duplication and See Instructions errors. CONCLUSION: The presented method shows these MREs to be a common finding in pediatric care. This work offers a tool to strengthen hospital-wide quality improvement efforts to reduce pediatric medication errors. Lippincott Williams & Wilkins 2021-07-28 /pmc/articles/PMC8322521/ /pubmed/34345749 http://dx.doi.org/10.1097/pq9.0000000000000436 Text en Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Multi-institutional collaborative and QI network research Morse, Keith E. Chadwick, Whitney A. Paul, Wendy Haaland, Wren Pageler, Natalie M. Tarrago, Rod Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals |
title | Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals |
title_full | Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals |
title_fullStr | Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals |
title_full_unstemmed | Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals |
title_short | Quantifying Discharge Medication Reconciliation Errors at 2 Pediatric Hospitals |
title_sort | quantifying discharge medication reconciliation errors at 2 pediatric hospitals |
topic | Multi-institutional collaborative and QI network research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8322521/ https://www.ncbi.nlm.nih.gov/pubmed/34345749 http://dx.doi.org/10.1097/pq9.0000000000000436 |
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