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Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience

BACKGROUND: Failure mode and effect analysis is an important tool to identify failures in a system with its possible cause, effect, and set actions to be implemented proactively before the occurrence of problems. This study tries to identify common failure modes with its possible causes and effect t...

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Autores principales: Teklewold, Berhanetsehay, Anteneh, Dagmawi, Kebede, Dawit, Gezahegn, Wendmagegn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850570/
https://www.ncbi.nlm.nih.gov/pubmed/33536800
http://dx.doi.org/10.2147/RMHP.S284835
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author Teklewold, Berhanetsehay
Anteneh, Dagmawi
Kebede, Dawit
Gezahegn, Wendmagegn
author_facet Teklewold, Berhanetsehay
Anteneh, Dagmawi
Kebede, Dawit
Gezahegn, Wendmagegn
author_sort Teklewold, Berhanetsehay
collection PubMed
description BACKGROUND: Failure mode and effect analysis is an important tool to identify failures in a system with its possible cause, effect, and set actions to be implemented proactively before the occurrence of problems. This study tries to identify common failure modes with its possible causes and effect to the health service and to plot actions to be implemented to reduce COVID-19 transmission to clients, staff, and subsequent service compromise from asymptomatic COVID-19 patients visiting the adult emergency department of SPHMMC (non-COVID-19 setup). METHOD AND STUDY DESIGN: A multidisciplinary team, representing different divisions of the adult emergency department at St. Paul’s Hospital Millennium Medical College (SPHMMC), was chosen. This team was trained on failure mode and effect analysis and basics of COVID-19, to identify possible causes of failures and their potential effects, to calculate a risk priority number (RPN) for each failure, and plan changes in practice. RESULTS: A total of 22 failure modes and 89 associated causes and effects were identified. Many of these failure modes (12 out of 22) were found in all steps of patient flow and were associated with either due to lack of or failure to apply standard and transmission-based precautions. This suggests the presence of common targets for improvement, particularly in enhancing the safety of staff and clients. As a result of this FMEA, 23 general improvement actions were proposed. CONCLUSION: FMEA can be used as a useful tool for anticipating potential failures in the process and proposing improvement actions that could help in reducing secondary transmissions during the pandemic.
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spelling pubmed-78505702021-02-02 Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience Teklewold, Berhanetsehay Anteneh, Dagmawi Kebede, Dawit Gezahegn, Wendmagegn Risk Manag Healthc Policy Original Research BACKGROUND: Failure mode and effect analysis is an important tool to identify failures in a system with its possible cause, effect, and set actions to be implemented proactively before the occurrence of problems. This study tries to identify common failure modes with its possible causes and effect to the health service and to plot actions to be implemented to reduce COVID-19 transmission to clients, staff, and subsequent service compromise from asymptomatic COVID-19 patients visiting the adult emergency department of SPHMMC (non-COVID-19 setup). METHOD AND STUDY DESIGN: A multidisciplinary team, representing different divisions of the adult emergency department at St. Paul’s Hospital Millennium Medical College (SPHMMC), was chosen. This team was trained on failure mode and effect analysis and basics of COVID-19, to identify possible causes of failures and their potential effects, to calculate a risk priority number (RPN) for each failure, and plan changes in practice. RESULTS: A total of 22 failure modes and 89 associated causes and effects were identified. Many of these failure modes (12 out of 22) were found in all steps of patient flow and were associated with either due to lack of or failure to apply standard and transmission-based precautions. This suggests the presence of common targets for improvement, particularly in enhancing the safety of staff and clients. As a result of this FMEA, 23 general improvement actions were proposed. CONCLUSION: FMEA can be used as a useful tool for anticipating potential failures in the process and proposing improvement actions that could help in reducing secondary transmissions during the pandemic. Dove 2021-01-26 /pmc/articles/PMC7850570/ /pubmed/33536800 http://dx.doi.org/10.2147/RMHP.S284835 Text en © 2021 Teklewold et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Teklewold, Berhanetsehay
Anteneh, Dagmawi
Kebede, Dawit
Gezahegn, Wendmagegn
Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience
title Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience
title_full Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience
title_fullStr Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience
title_full_unstemmed Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience
title_short Use of Failure Mode and Effect Analysis to Reduce Admission of Asymptomatic COVID-19 Patients to the Adult Emergency Department: An Institutional Experience
title_sort use of failure mode and effect analysis to reduce admission of asymptomatic covid-19 patients to the adult emergency department: an institutional experience
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7850570/
https://www.ncbi.nlm.nih.gov/pubmed/33536800
http://dx.doi.org/10.2147/RMHP.S284835
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