Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Morse, Keith E., Chadwick, Whitney A., Paul, Wendy, Haaland, Wren, Pageler, Natalie M., Tarrago, Rod
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
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
_version_ 1783731067124973568
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
work_keys_str_mv AT morsekeithe quantifyingdischargemedicationreconciliationerrorsat2pediatrichospitals
AT chadwickwhitneya quantifyingdischargemedicationreconciliationerrorsat2pediatrichospitals
AT paulwendy quantifyingdischargemedicationreconciliationerrorsat2pediatrichospitals
AT haalandwren quantifyingdischargemedicationreconciliationerrorsat2pediatrichospitals
AT pagelernataliem quantifyingdischargemedicationreconciliationerrorsat2pediatrichospitals
AT tarragorod quantifyingdischargemedicationreconciliationerrorsat2pediatrichospitals