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Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign
Vaccination against SARS-CoV-2 will likely be the most promising way to combat the pandemic. Even if mass vaccination is urgent, it should still always be supported by appropriate patient safety management. The aim of this study, based on failure mode, effects and criticality analysis (FMECA), was t...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402500/ https://www.ncbi.nlm.nih.gov/pubmed/34451990 http://dx.doi.org/10.3390/vaccines9080866 |
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author | Buja, Alessandra Manfredi, Mariagiovanna De Luca, Giuseppe Zampieri, Chiara Zanovello, Sofia Perkovic, Davor Scotton, Francesca Minnicelli, Anil De Polo, Anna Cristofori, Vittorio Biasi, Laura Baldovin, Tatjana Bertoncello, Chiara Cocchio, Silvia Baldo, Vincenzo |
author_facet | Buja, Alessandra Manfredi, Mariagiovanna De Luca, Giuseppe Zampieri, Chiara Zanovello, Sofia Perkovic, Davor Scotton, Francesca Minnicelli, Anil De Polo, Anna Cristofori, Vittorio Biasi, Laura Baldovin, Tatjana Bertoncello, Chiara Cocchio, Silvia Baldo, Vincenzo |
author_sort | Buja, Alessandra |
collection | PubMed |
description | Vaccination against SARS-CoV-2 will likely be the most promising way to combat the pandemic. Even if mass vaccination is urgent, it should still always be supported by appropriate patient safety management. The aim of this study, based on failure mode, effects and criticality analysis (FMECA), was to identify possible failures and highlight measures that can be adopted to prevent their occurrence. A team of resident doctors in public health from the University of Padua and specialists in risk analysis in public health examined the mass vaccination process. A diagram was drafted to illustrate the various phases of mass vaccination, analyze the process, and identify all failure modes. Criticalities were ascertained by rating the severity, frequency and likelihood of failure detection on a scale of 1 to 10. We identified a total of 71 possible faults distributed over the various phases of the process, and 34 of them were classified as carrying a high risk. For the potentially high-risk failure modes, we identified 63 recommended actions to contain the cause of their occurrence or improve their detection. For the purpose of detecting potential failures, FMECA can be successfully applied to mass vaccination, which should be considered a high-risk process. |
format | Online Article Text |
id | pubmed-8402500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-84025002021-08-29 Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign Buja, Alessandra Manfredi, Mariagiovanna De Luca, Giuseppe Zampieri, Chiara Zanovello, Sofia Perkovic, Davor Scotton, Francesca Minnicelli, Anil De Polo, Anna Cristofori, Vittorio Biasi, Laura Baldovin, Tatjana Bertoncello, Chiara Cocchio, Silvia Baldo, Vincenzo Vaccines (Basel) Article Vaccination against SARS-CoV-2 will likely be the most promising way to combat the pandemic. Even if mass vaccination is urgent, it should still always be supported by appropriate patient safety management. The aim of this study, based on failure mode, effects and criticality analysis (FMECA), was to identify possible failures and highlight measures that can be adopted to prevent their occurrence. A team of resident doctors in public health from the University of Padua and specialists in risk analysis in public health examined the mass vaccination process. A diagram was drafted to illustrate the various phases of mass vaccination, analyze the process, and identify all failure modes. Criticalities were ascertained by rating the severity, frequency and likelihood of failure detection on a scale of 1 to 10. We identified a total of 71 possible faults distributed over the various phases of the process, and 34 of them were classified as carrying a high risk. For the potentially high-risk failure modes, we identified 63 recommended actions to contain the cause of their occurrence or improve their detection. For the purpose of detecting potential failures, FMECA can be successfully applied to mass vaccination, which should be considered a high-risk process. MDPI 2021-08-05 /pmc/articles/PMC8402500/ /pubmed/34451990 http://dx.doi.org/10.3390/vaccines9080866 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Buja, Alessandra Manfredi, Mariagiovanna De Luca, Giuseppe Zampieri, Chiara Zanovello, Sofia Perkovic, Davor Scotton, Francesca Minnicelli, Anil De Polo, Anna Cristofori, Vittorio Biasi, Laura Baldovin, Tatjana Bertoncello, Chiara Cocchio, Silvia Baldo, Vincenzo Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign |
title | Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign |
title_full | Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign |
title_fullStr | Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign |
title_full_unstemmed | Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign |
title_short | Using Failure Mode, Effect and Criticality Analysis to Improve Safety in the COVID Mass Vaccination Campaign |
title_sort | using failure mode, effect and criticality analysis to improve safety in the covid mass vaccination campaign |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8402500/ https://www.ncbi.nlm.nih.gov/pubmed/34451990 http://dx.doi.org/10.3390/vaccines9080866 |
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