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Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process

BACKGROUND: Administering cancer drugs is a high-risk process, and mistakes can have fatal consequences. Failure Mode, Effect and Criticality Analysis (FMECA) is a widely recognized method for identifying and preventing potential risks, applied in various settings, including healthcare. The aim of t...

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Autores principales: Buja, Alessandra, De Luca, Giuseppe, Ottolitri, Ketti, Marchi, Elena, De Siena, Francesco Paolo, Leone, Giovanni, Maculan, Pietro, Bolzonella, Umberto, Caberlotto, Riccardo, Cappella, Giovanni, Grotto, Giulia, Lattavo, Gaia, Sforzi, Benedetta, Venturato, Giovanni, Saieva, Anna Maria, Baldo, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851104/
https://www.ncbi.nlm.nih.gov/pubmed/36658618
http://dx.doi.org/10.1186/s40545-023-00512-9
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author Buja, Alessandra
De Luca, Giuseppe
Ottolitri, Ketti
Marchi, Elena
De Siena, Francesco Paolo
Leone, Giovanni
Maculan, Pietro
Bolzonella, Umberto
Caberlotto, Riccardo
Cappella, Giovanni
Grotto, Giulia
Lattavo, Gaia
Sforzi, Benedetta
Venturato, Giovanni
Saieva, Anna Maria
Baldo, Vincenzo
author_facet Buja, Alessandra
De Luca, Giuseppe
Ottolitri, Ketti
Marchi, Elena
De Siena, Francesco Paolo
Leone, Giovanni
Maculan, Pietro
Bolzonella, Umberto
Caberlotto, Riccardo
Cappella, Giovanni
Grotto, Giulia
Lattavo, Gaia
Sforzi, Benedetta
Venturato, Giovanni
Saieva, Anna Maria
Baldo, Vincenzo
author_sort Buja, Alessandra
collection PubMed
description BACKGROUND: Administering cancer drugs is a high-risk process, and mistakes can have fatal consequences. Failure Mode, Effect and Criticality Analysis (FMECA) is a widely recognized method for identifying and preventing potential risks, applied in various settings, including healthcare. The aim of this study was to recognize potential failures in cancer treatment prescription and administration, with a view to enabling the adoption of measures to prevent them. METHODS: This study consists of a FMECA. A team of resident doctors in public health at the University of Padua examined the cancer chemotherapy process with the support of a multidisciplinary team from the Veneto Institute of Oncology (an acknowledged comprehensive cancer center), and two other provincial hospitals. A diagram was drafted to illustrate 9 different phases of chemotherapy, from the adoption of a treatment plan to its administration, and to identify all possible failure modes. Criticality was ascertained by rating severity, frequency and likelihood of a failure being detected, using adapted versions of already published scales. Safety strategies were identified and summarized. RESULTS: Twenty-two failure modes came to light, distributed over the various phases of the cancer treatment process, and seven of them were classified as high risk. All phases of the cancer chemotherapy process were defined as potentially critical and at least one action was identified for a single high-risk failure mode. To reduce the likelihood of the cause, or to improve the chances of a failure mode being detected, a total of 10 recommendations have been identified. CONCLUSIONS: FMECA can be useful for identifying potential failures in a process considered to be at high risk. Safety strategies were devised for each high-risk failure mode identified.
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spelling pubmed-98511042023-01-20 Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process Buja, Alessandra De Luca, Giuseppe Ottolitri, Ketti Marchi, Elena De Siena, Francesco Paolo Leone, Giovanni Maculan, Pietro Bolzonella, Umberto Caberlotto, Riccardo Cappella, Giovanni Grotto, Giulia Lattavo, Gaia Sforzi, Benedetta Venturato, Giovanni Saieva, Anna Maria Baldo, Vincenzo J Pharm Policy Pract Research BACKGROUND: Administering cancer drugs is a high-risk process, and mistakes can have fatal consequences. Failure Mode, Effect and Criticality Analysis (FMECA) is a widely recognized method for identifying and preventing potential risks, applied in various settings, including healthcare. The aim of this study was to recognize potential failures in cancer treatment prescription and administration, with a view to enabling the adoption of measures to prevent them. METHODS: This study consists of a FMECA. A team of resident doctors in public health at the University of Padua examined the cancer chemotherapy process with the support of a multidisciplinary team from the Veneto Institute of Oncology (an acknowledged comprehensive cancer center), and two other provincial hospitals. A diagram was drafted to illustrate 9 different phases of chemotherapy, from the adoption of a treatment plan to its administration, and to identify all possible failure modes. Criticality was ascertained by rating severity, frequency and likelihood of a failure being detected, using adapted versions of already published scales. Safety strategies were identified and summarized. RESULTS: Twenty-two failure modes came to light, distributed over the various phases of the cancer treatment process, and seven of them were classified as high risk. All phases of the cancer chemotherapy process were defined as potentially critical and at least one action was identified for a single high-risk failure mode. To reduce the likelihood of the cause, or to improve the chances of a failure mode being detected, a total of 10 recommendations have been identified. CONCLUSIONS: FMECA can be useful for identifying potential failures in a process considered to be at high risk. Safety strategies were devised for each high-risk failure mode identified. BioMed Central 2023-01-19 /pmc/articles/PMC9851104/ /pubmed/36658618 http://dx.doi.org/10.1186/s40545-023-00512-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Buja, Alessandra
De Luca, Giuseppe
Ottolitri, Ketti
Marchi, Elena
De Siena, Francesco Paolo
Leone, Giovanni
Maculan, Pietro
Bolzonella, Umberto
Caberlotto, Riccardo
Cappella, Giovanni
Grotto, Giulia
Lattavo, Gaia
Sforzi, Benedetta
Venturato, Giovanni
Saieva, Anna Maria
Baldo, Vincenzo
Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process
title Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process
title_full Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process
title_fullStr Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process
title_full_unstemmed Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process
title_short Using Failure Mode, Effect and Criticality Analysis to improve safety in the cancer treatment prescription and administration process
title_sort using failure mode, effect and criticality analysis to improve safety in the cancer treatment prescription and administration process
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9851104/
https://www.ncbi.nlm.nih.gov/pubmed/36658618
http://dx.doi.org/10.1186/s40545-023-00512-9
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