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A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique

BACKGROUND: We aim to assess the risks associated with total body irradiation (TBI) delivered using a commercial dedicated Co-60 irradiator, and to evaluate inter-institutional and inter-professional variations in the estimation of these risks. METHODS: A failure mode and effects analysis (FMEA) was...

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Autores principales: Ahmed, Shahbaz, Bossenberger, Todd, Nalichowski, Adrian, Bredfeldt, Jeremy S., Bartlett, Sarah, Bertone, Kristen, Dominello, Michael, Dziemianowicz, Mark, Komajda, Melanie, Makrigiorgos, G. Mike, Marcus, Karen J., Ng, Andrea, Thomas, Marvin, Burmeister, Jay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605584/
https://www.ncbi.nlm.nih.gov/pubmed/34798879
http://dx.doi.org/10.1186/s13014-021-01894-3
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author Ahmed, Shahbaz
Bossenberger, Todd
Nalichowski, Adrian
Bredfeldt, Jeremy S.
Bartlett, Sarah
Bertone, Kristen
Dominello, Michael
Dziemianowicz, Mark
Komajda, Melanie
Makrigiorgos, G. Mike
Marcus, Karen J.
Ng, Andrea
Thomas, Marvin
Burmeister, Jay
author_facet Ahmed, Shahbaz
Bossenberger, Todd
Nalichowski, Adrian
Bredfeldt, Jeremy S.
Bartlett, Sarah
Bertone, Kristen
Dominello, Michael
Dziemianowicz, Mark
Komajda, Melanie
Makrigiorgos, G. Mike
Marcus, Karen J.
Ng, Andrea
Thomas, Marvin
Burmeister, Jay
author_sort Ahmed, Shahbaz
collection PubMed
description BACKGROUND: We aim to assess the risks associated with total body irradiation (TBI) delivered using a commercial dedicated Co-60 irradiator, and to evaluate inter-institutional and inter-professional variations in the estimation of these risks. METHODS: A failure mode and effects analysis (FMEA) was generated using guidance from the AAPM TG-100 report for quantitative estimation of prospective risk metrics. Thirteen radiation oncology professionals from two institutions rated possible failure modes (FMs) for occurrence (O), severity (S), and detectability (D) indices to generate a risk priority number (RPN). The FMs were ranked by descending RPN value. Absolute gross differences (AGD) in resulting RPN values and Jaccard Index (JI; for the top 20 FMs) were calculated. The results were compared between professions and institutions. RESULTS: A total of 87 potential FMs (57, 15, 10, 3, and 2 for treatment, quality assurance, planning, simulation, and logistics respectively) were identified and ranked, with individual RPN ranging between 1–420 and mean RPN values ranging between 6 and 74. The two institutions shared 6 of their respective top 20 FMs. For various institutional and professional comparison pairs, the number of common FMs in the top 20 FMs ranged from 6 to 13, with JI values of 18–48%. For the top 20 FMs, the trend in inter-professional variability was institution-specific. The mean AGD values ranged between 12.5 and 74.5 for various comparison pairs. AGD values differed the most for medical physicists (MPs) in comparison to other specialties i.e. radiation oncologists (ROs) and radiation therapists (RTs) [MPs-vs-ROs: 36.3 (standard deviation SD = 34.1); MPs-vs-RTs: 41.2 (SD = 37.9); ROs-vs-RTs: 12.5 (SD = 10.8)]. Trends in inter-professional AGD values were similar for both institutions. CONCLUSION: This inter-institutional comparison provides prospective risk analysis for a new treatment delivery unit and illustrates the institution-specific nature of FM prioritization, primarily due to operational differences. Despite being subjective in nature, the FMEA is a valuable tool to ensure the identification of the most significant risks, particularly when implementing a novel treatment modality. The creation of a bi-institutional, multidisciplinary FMEA for this unique TBI technique has not only helped identify potential risks but also served as an opportunity to evaluate clinical and safety practices from the perspective of both multiple professional roles and different institutions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-021-01894-3.
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spelling pubmed-86055842021-11-22 A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique Ahmed, Shahbaz Bossenberger, Todd Nalichowski, Adrian Bredfeldt, Jeremy S. Bartlett, Sarah Bertone, Kristen Dominello, Michael Dziemianowicz, Mark Komajda, Melanie Makrigiorgos, G. Mike Marcus, Karen J. Ng, Andrea Thomas, Marvin Burmeister, Jay Radiat Oncol Research BACKGROUND: We aim to assess the risks associated with total body irradiation (TBI) delivered using a commercial dedicated Co-60 irradiator, and to evaluate inter-institutional and inter-professional variations in the estimation of these risks. METHODS: A failure mode and effects analysis (FMEA) was generated using guidance from the AAPM TG-100 report for quantitative estimation of prospective risk metrics. Thirteen radiation oncology professionals from two institutions rated possible failure modes (FMs) for occurrence (O), severity (S), and detectability (D) indices to generate a risk priority number (RPN). The FMs were ranked by descending RPN value. Absolute gross differences (AGD) in resulting RPN values and Jaccard Index (JI; for the top 20 FMs) were calculated. The results were compared between professions and institutions. RESULTS: A total of 87 potential FMs (57, 15, 10, 3, and 2 for treatment, quality assurance, planning, simulation, and logistics respectively) were identified and ranked, with individual RPN ranging between 1–420 and mean RPN values ranging between 6 and 74. The two institutions shared 6 of their respective top 20 FMs. For various institutional and professional comparison pairs, the number of common FMs in the top 20 FMs ranged from 6 to 13, with JI values of 18–48%. For the top 20 FMs, the trend in inter-professional variability was institution-specific. The mean AGD values ranged between 12.5 and 74.5 for various comparison pairs. AGD values differed the most for medical physicists (MPs) in comparison to other specialties i.e. radiation oncologists (ROs) and radiation therapists (RTs) [MPs-vs-ROs: 36.3 (standard deviation SD = 34.1); MPs-vs-RTs: 41.2 (SD = 37.9); ROs-vs-RTs: 12.5 (SD = 10.8)]. Trends in inter-professional AGD values were similar for both institutions. CONCLUSION: This inter-institutional comparison provides prospective risk analysis for a new treatment delivery unit and illustrates the institution-specific nature of FM prioritization, primarily due to operational differences. Despite being subjective in nature, the FMEA is a valuable tool to ensure the identification of the most significant risks, particularly when implementing a novel treatment modality. The creation of a bi-institutional, multidisciplinary FMEA for this unique TBI technique has not only helped identify potential risks but also served as an opportunity to evaluate clinical and safety practices from the perspective of both multiple professional roles and different institutions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13014-021-01894-3. BioMed Central 2021-11-19 /pmc/articles/PMC8605584/ /pubmed/34798879 http://dx.doi.org/10.1186/s13014-021-01894-3 Text en © The Author(s) 2021 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
Ahmed, Shahbaz
Bossenberger, Todd
Nalichowski, Adrian
Bredfeldt, Jeremy S.
Bartlett, Sarah
Bertone, Kristen
Dominello, Michael
Dziemianowicz, Mark
Komajda, Melanie
Makrigiorgos, G. Mike
Marcus, Karen J.
Ng, Andrea
Thomas, Marvin
Burmeister, Jay
A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique
title A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique
title_full A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique
title_fullStr A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique
title_full_unstemmed A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique
title_short A bi-institutional multi-disciplinary failure mode and effects analysis (FMEA) for a Co-60 based total body irradiation technique
title_sort bi-institutional multi-disciplinary failure mode and effects analysis (fmea) for a co-60 based total body irradiation technique
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605584/
https://www.ncbi.nlm.nih.gov/pubmed/34798879
http://dx.doi.org/10.1186/s13014-021-01894-3
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