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Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington
BACKGROUND: Commercial fishing is a precarious industry with high fatal and nonfatal injury rates. The Risk Information System of Commercial [RISC] Fishing project at Oregon State University has been tracking both fatal and nonfatal injuries among Oregon and Washington commercial fishermen. We exami...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037792/ https://www.ncbi.nlm.nih.gov/pubmed/36964638 http://dx.doi.org/10.1186/s40621-023-00428-7 |
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author | Doza, Solaiman Bovbjerg, Viktor Case, Samantha Vaughan, Amelia Kincl, Laurel |
author_facet | Doza, Solaiman Bovbjerg, Viktor Case, Samantha Vaughan, Amelia Kincl, Laurel |
author_sort | Doza, Solaiman |
collection | PubMed |
description | BACKGROUND: Commercial fishing is a precarious industry with high fatal and nonfatal injury rates. The Risk Information System of Commercial [RISC] Fishing project at Oregon State University has been tracking both fatal and nonfatal injuries among Oregon and Washington commercial fishermen. We examined the utility of the RISC dataset variables in highlighting injury factors and prevention opportunities. METHOD: We identified 245 nonfatal commercial fishing injuries in Oregon and Washington (2000–2018) and assessed the top three injury events (contact with objects or equipment, transportation incidents, and slips/trips/falls) using a cross-sectional design. We generated a Haddon matrix for each event type and populated the matrices with injury-associated factors following our a-priori matrix. RESULTS: We observed 108 nonfatal injuries due to contact with objects. Contact injuries occurred during fishing (40%) with fishing gears (40%), often while hauling the fishing gear (22%). Common injury mechanisms included getting caught in running equipment or machinery (19%) or compressed by shifting objects or equipment (18%). Of the 58 transportation injuries most occurred in catchers (93%) and smaller vessels (1 to 3 crew) (55%). Vessel casualties were common as several vessels struck rocks/bottom (29%) or experienced fire and explosion (19%). The crew was abandoned to water (38%), often due to no raft or raft malfunctions (19%). Slip/trip/fall injuries (n = 43) typically happened during onboard traffic (49%). Such events were largely experienced by the catcher-processors (44%) including large vessels with > 100 crew (28%). CONCLUSION: The Haddon matrix demonstrated the injury-event timeline and helped to identify potential injury-associated factors. Our injury-specific risk matrices will let commercial fishing stakeholders determine priorities and work with the experts on prevention efforts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40621-023-00428-7. |
format | Online Article Text |
id | pubmed-10037792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-100377922023-03-25 Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington Doza, Solaiman Bovbjerg, Viktor Case, Samantha Vaughan, Amelia Kincl, Laurel Inj Epidemiol Original Contribution BACKGROUND: Commercial fishing is a precarious industry with high fatal and nonfatal injury rates. The Risk Information System of Commercial [RISC] Fishing project at Oregon State University has been tracking both fatal and nonfatal injuries among Oregon and Washington commercial fishermen. We examined the utility of the RISC dataset variables in highlighting injury factors and prevention opportunities. METHOD: We identified 245 nonfatal commercial fishing injuries in Oregon and Washington (2000–2018) and assessed the top three injury events (contact with objects or equipment, transportation incidents, and slips/trips/falls) using a cross-sectional design. We generated a Haddon matrix for each event type and populated the matrices with injury-associated factors following our a-priori matrix. RESULTS: We observed 108 nonfatal injuries due to contact with objects. Contact injuries occurred during fishing (40%) with fishing gears (40%), often while hauling the fishing gear (22%). Common injury mechanisms included getting caught in running equipment or machinery (19%) or compressed by shifting objects or equipment (18%). Of the 58 transportation injuries most occurred in catchers (93%) and smaller vessels (1 to 3 crew) (55%). Vessel casualties were common as several vessels struck rocks/bottom (29%) or experienced fire and explosion (19%). The crew was abandoned to water (38%), often due to no raft or raft malfunctions (19%). Slip/trip/fall injuries (n = 43) typically happened during onboard traffic (49%). Such events were largely experienced by the catcher-processors (44%) including large vessels with > 100 crew (28%). CONCLUSION: The Haddon matrix demonstrated the injury-event timeline and helped to identify potential injury-associated factors. Our injury-specific risk matrices will let commercial fishing stakeholders determine priorities and work with the experts on prevention efforts. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40621-023-00428-7. BioMed Central 2023-03-24 /pmc/articles/PMC10037792/ /pubmed/36964638 http://dx.doi.org/10.1186/s40621-023-00428-7 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 | Original Contribution Doza, Solaiman Bovbjerg, Viktor Case, Samantha Vaughan, Amelia Kincl, Laurel Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington |
title | Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington |
title_full | Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington |
title_fullStr | Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington |
title_full_unstemmed | Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington |
title_short | Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington |
title_sort | utilizing haddon matrix to assess nonfatal commercial fishing injury factors in oregon and washington |
topic | Original Contribution |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037792/ https://www.ncbi.nlm.nih.gov/pubmed/36964638 http://dx.doi.org/10.1186/s40621-023-00428-7 |
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