Evidence map›Paper›PMID 36964638›Full record

ArticleInjury epidemiology2023

Utilizing Haddon matrix to assess nonfatal commercial fishing injury factors in Oregon and Washington.

Solaiman Doza, Viktor Bovbjerg, Samantha Case, Amelia Vaughan, Laurel Kincl

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Article in Injury epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Solaiman DozaCollege of Public Health and Human Sciences, 14A Milam Hall, Oregon State University, Corvallis, OR, 97330, USA. dozas@oregonstate.edu.ORCID http://orcid.org/0000-0003-3233-0509
Viktor BovbjergCollege of Public Health and Human Sciences, 14A Milam Hall, Oregon State University, Corvallis, OR, 97330, USA.
Samantha CaseNational Institute for Occupational Safety and Health, Western States Division, Anchorage, AK, USA.
Amelia VaughanCollege of Public Health and Human Sciences, 14A Milam Hall, Oregon State University, Corvallis, OR, 97330, USA.
Laurel KinclCollege of Public Health and Human Sciences, 14A Milam Hall, Oregon State University, Corvallis, OR, 97330, USA. laurel.kincl@oregonstate.edu.

Funding

Pacific Northwest Agricultural Safety and Health Center-RenewalU54OH007544 · OH · UNIVERSITY OF WASHINGTON · PI YOST, MICHAEL G · 2011 to 2025
$23.0M
NIOSH CDC HHS 2U54OH007544-16NIOSH CDC HHS U54 OH007544
6 · The paper itself

Abstract

backgroundCommercial 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.

methodWe 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.

resultsWe 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%).

conclusionThe 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.

Indexed as

FishermenInjury eventsInjury preventionRisk factorsWork processes

Identifiers

PMID36964638
PMCPMC10037792

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.