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Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool

BACKGROUND AND INTRODUCTION: Obtaining patient medication histories during emergency department (ED) admissions is an important step towards identifying potential errors that could otherwise remain in the patient’s active medication list. This is a descriptive report of a standardized, electronic da...

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Autores principales: Afreen, Nishat, Padilla-Tolentino, Eimeira, McGinnis, Brandy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Minnesota Libraries Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102974/
https://www.ncbi.nlm.nih.gov/pubmed/34007681
http://dx.doi.org/10.24926/iip.v12i1.3377
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author Afreen, Nishat
Padilla-Tolentino, Eimeira
McGinnis, Brandy
author_facet Afreen, Nishat
Padilla-Tolentino, Eimeira
McGinnis, Brandy
author_sort Afreen, Nishat
collection PubMed
description BACKGROUND AND INTRODUCTION: Obtaining patient medication histories during emergency department (ED) admissions is an important step towards identifying potential errors that could otherwise remain in the patient’s active medication list. This is a descriptive report of a standardized, electronic data collection tool created to document potential medication errors in patients receiving high-risk medications during ED admissions. MATERIALS AND METHODS: Trained pharmacy technicians completed a survey following medication history collection using a secure web platform called REDCap®. Data collected included patient-specific information, the number and type of high-risk medications, and potential medication errors identified in the collection process. RESULTS: During a pilot period of April 2019 to October 2020, 191 patient records were completed using the survey tool. Out of a total of 1088 medications recorded, 41% were considered high-risk medications. 42% of potential medication errors were classified as high-risk medication errors. Results from this survey tool demonstrated that 58% of high-risk medication orders could potentially result in a medication error that can be carried through patient admission and discharge. DISCUSSION: Accurate medication history and transitions of care can significantly impact patient quality of life. The cost of addressing a medication related-adverse event is also substantial. Based on published reports, annual gross savings to a hospital is estimated to be $4532 per harmful error in 2020, after adjusting for inflation. This equated to approximately $1,182,852 in estimated savings for Ascension Texas in 18 months. Nationwide, preventing potential medication errors in an outpatient setting can save on average $3.5 billion per year. CONCLUSION: This web-based survey tool has improved the quality and efficiency of potential error identification during medication history collection by pharmacy technicians. This information can be easily retrieved and aid in discussions regarding medication reconciliation at the leadership level and impact patient treatment outcomes by developing virtual processes that may result in fewer medication related events.
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spelling pubmed-81029742021-05-17 Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool Afreen, Nishat Padilla-Tolentino, Eimeira McGinnis, Brandy Innov Pharm Original Research BACKGROUND AND INTRODUCTION: Obtaining patient medication histories during emergency department (ED) admissions is an important step towards identifying potential errors that could otherwise remain in the patient’s active medication list. This is a descriptive report of a standardized, electronic data collection tool created to document potential medication errors in patients receiving high-risk medications during ED admissions. MATERIALS AND METHODS: Trained pharmacy technicians completed a survey following medication history collection using a secure web platform called REDCap®. Data collected included patient-specific information, the number and type of high-risk medications, and potential medication errors identified in the collection process. RESULTS: During a pilot period of April 2019 to October 2020, 191 patient records were completed using the survey tool. Out of a total of 1088 medications recorded, 41% were considered high-risk medications. 42% of potential medication errors were classified as high-risk medication errors. Results from this survey tool demonstrated that 58% of high-risk medication orders could potentially result in a medication error that can be carried through patient admission and discharge. DISCUSSION: Accurate medication history and transitions of care can significantly impact patient quality of life. The cost of addressing a medication related-adverse event is also substantial. Based on published reports, annual gross savings to a hospital is estimated to be $4532 per harmful error in 2020, after adjusting for inflation. This equated to approximately $1,182,852 in estimated savings for Ascension Texas in 18 months. Nationwide, preventing potential medication errors in an outpatient setting can save on average $3.5 billion per year. CONCLUSION: This web-based survey tool has improved the quality and efficiency of potential error identification during medication history collection by pharmacy technicians. This information can be easily retrieved and aid in discussions regarding medication reconciliation at the leadership level and impact patient treatment outcomes by developing virtual processes that may result in fewer medication related events. University of Minnesota Libraries Publishing 2021-02-12 /pmc/articles/PMC8102974/ /pubmed/34007681 http://dx.doi.org/10.24926/iip.v12i1.3377 Text en © Individual authors https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial License, which permits noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Afreen, Nishat
Padilla-Tolentino, Eimeira
McGinnis, Brandy
Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool
title Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool
title_full Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool
title_fullStr Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool
title_full_unstemmed Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool
title_short Identifying Potential High-Risk Medication Errors Using Telepharmacy and a Web-Based Survey Tool
title_sort identifying potential high-risk medication errors using telepharmacy and a web-based survey tool
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102974/
https://www.ncbi.nlm.nih.gov/pubmed/34007681
http://dx.doi.org/10.24926/iip.v12i1.3377
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