Doza Solaiman, Bovbjerg Viktor, Case Samantha, Vaughan Amelia, Kincl Laurel
College of Public Health and Human Sciences, 14A Milam Hall, Oregon State University, Corvallis, OR, 97330, USA.
National Institute for Occupational Safety and Health, Western States Division, Anchorage, AK, USA.
Inj Epidemiol. 2023 Mar 24;10(1):18. doi: 10.1186/s40621-023-00428-7.
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.
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.
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%).
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.
商业捕鱼是一个危险的行业，致命和非致命伤害发生率很高。俄勒冈州立大学的商业捕鱼风险信息系统[RISC]项目一直在跟踪俄勒冈州和华盛顿州商业渔民的致命和非致命伤害情况。我们研究了RISC数据集变量在突出伤害因素和预防机会方面的效用。
我们确定了俄勒冈州和华盛顿州（2000 - 2018年）245起非致命商业捕鱼伤害事件，并采用横断面设计评估了前三大伤害事件（与物体或设备接触、运输事故以及滑倒/绊倒/摔倒）。我们为每种事件类型生成了一个哈顿矩阵，并根据我们的先验矩阵用与伤害相关的因素填充这些矩阵。
我们观察到108起因与物体接触导致的非致命伤害。接触伤害发生在捕鱼期间（40%），与捕鱼工具有关（40%），通常是在拖曳捕鱼工具时（22%）。常见的伤害机制包括被运转的设备或机械卡住（19%）或被移动的物体或设备挤压（18%）。在58起运输伤害事件中，大多数发生在捕捞船上（93%）和较小的船只（1至3名船员）（55%）。船只事故很常见，几艘船撞上岩石/海底（29%）或发生火灾和爆炸（19%）。船员被弃于水中（38%），通常是由于没有救生筏或救生筏故障（19%）。滑倒/绊倒/摔倒伤害（n = 43）通常发生在船上通行期间（49%）。此类事件主要发生在捕捞加工船上（44%），包括船员超过100人的大型船只（28%）。
哈顿矩阵展示了伤害事件的时间线，并有助于识别潜在的与伤害相关的因素。我们针对特定伤害的风险矩阵将使商业捕鱼利益相关者能够确定优先事项，并与专家合作开展预防工作。
