Workplace Injuries Caused by Commercial Fishing Winches-Alaska, 2000-2020.

OBJECTIVES: Deck machinery is a leading source of hospitalized injury for commercial fishing workers in Alaska. More detailed data are needed about the specific circumstances leading to injuries for developing targeted prevention efforts. METHODS: This study analyzed claims submitted to the Alaska Fisherman's Fund (AFF) to identify patterns among injuries in Alaska from commercial fishing winches. RESULTS: During January 1, 2000-November 1, 2020, 125 traumatic injuries from commercial fishing winches were identified, mainly occurring among males (94%), frequently among fishermen aged 30 years or younger (54%). Over 80% of winch injuries occurred in salmon fisheries. By gear type, 40% of injuries occurred on vessels using purse seine gear, 30% on vessels using drift gillnet gear, and 12% among set gillnet operators. Most injuries involved a fisherman having a body part caught in or compressed by a winch or cables attached to a winch (67%). Injuries mainly affected upper extremities including fingers (50% of cases) or hands/wrists (together 22% of cases). Injury severity was not formally assessed, but injuries ranged from contusions, sprains, and strains to finger or hand crushing injuries, upper limb amputation, skull fracture, spinal fracture, and chest trauma. Most cases involved fractures (23%), amputations (18%), lacerations (16%), and contusions (16%). Of all injuries, 51% were caused by anchor winches, 32% were caused by deck winches, 9% were caused by trailer winches, and 9% were caused by other types of winches. CONCLUSIONS: Practical solutions are needed for avoiding entanglement and struck-by hazards when operating fishing winches. Anchor winches warrant focused attention, having accounted for more than half of all winch injuries identified in this study. Engineering solutions, including emergency stop devices or other simple mechanical interventions depending on winch type, could help to avert potentially disabling injuries from winches. Administrative controls such as task-specific training for winches should be emphasized, especially for younger or less experienced commercial fishing crew, who may be at increased risk for injury.

Have you met Angus? Development and evaluation of a social marketing intervention to improve personal flotation device use in commercial fishing.

INTRODUCTION: Drowning is the leading cause of death among commercial fishermen in the United States. Approximately 30% of all commercial fishing fatalities are attributed to falls overboard. One of the simplest and most affordable ways to prevent these fatalities is for crewmembers to wear personal flotation devices (PFDs) while on deck. An examination of over 200 fatal falls overboard in the U.S. fishing industry revealed that none of the victims were wearing PFDs when they died. PFDs are not required to be worn by commercial fishermen in the United States, so this study was designed to encourage behavior change using targeted health communication and social marketing. METHODS: This study developed, implemented, and evaluated a multi-media social marketing campaign featuring a fictitious, culturally-relevant spokesman designed to look, talk, and act like the target audience. The messages were crafted to address common barriers to PFD adoption and misconceptions about fleet-specific risks for fatalities from falls overboard. The campaign was evaluated over two seasons of fishing to look at message retention and intent toward action following exposure to the campaign materials. RESULTS: Survey respondents indicated overall positive opinions about the spokesman and the messages. Results also show a reported change in behavior related to using PFDs while working on deck. DISCUSSION: Targeted multi-media messaging can influence behavior of workers in high-risk occupations in remote locations. Safety message development should focus on occupational culture to create valid and authentic communication products for workers in high-risk industries.

Linking Datasets to Characterize Injury and Illness in Alaska's Fishing Industry.

Limited research has characterized nonfatal injury/illness in Alaska's hazardous fishing industry. This study aimed to determine (a) the utility of linking datasets to conduct surveillance, and (b) injury/illness patterns during 2012-2016. Data were obtained from the Alaska Trauma Registry (ATR), Fishermen's Fund (FF), and US Coast Guard (USCG). Datasets were coded to identify patterns in injury/illness characteristics and circumstances. Probabilistic linkage methods were utilized to identify unique incidents that appeared in more than one dataset. After linking datasets, 3,014 unique injury/illness cases were identified. By dataset, 2,365 cases appeared only in FF, 486 only in USCG, 110 only in ATR, 25 in ATR and FF, 15 in ATR and USCG, 10 in USCG and FF, and 3 in all datasets. FF mainly captured claims submitted by small, independently-owned vessels in Southcentral and Southeastern Alaska. In contrast, USCG mainly captured reports from large, company-owned vessels in Western Alaska. By nature, cases were most frequently sprains, strain, and tears (27%), cuts (15%), and fractures (11%). Across fleets, injuries/illnesses most frequently resulted from contact with objects and equipment (41%), overexertion and bodily reaction (27%), and slips, trips, and falls (20%). Work processes associated with traumatic injuries were most frequently hauling gear (18%) and walking, climbing, and descending (18%). Half of all injuries were of moderate severity (53%). Linking datasets, which capture different segments of Alaska's fishing industry, provides the most comprehensive understanding of nonfatal injury/illness to date. These results, stratified by fleet and severity, will inform prevention strategies.

Predicting commercial fishing vessel disasters through a novel application of the theory of man-made disasters.

INTRODUCTION: Vessel disasters (e.g., sinkings, capsizings) are a leading contributor to fatalities in the U.S. commercial fishing industry. Primary prevention strategies are needed to reduce the occurrence of vessel disasters, which can only be done by developing an understanding of their causes and risk factors. If less serious vessel casualties (e.g., loss of propulsion, fire, flooding) are predictors of future disasters, then reducing vessel casualties should in turn reduce vessel disasters and the accompanying loss of life. METHOD: This case-control study examined the association between vessel casualties and disasters using fishing vessels in Alaska during 2010-2015. RESULTS: The findings show that vessels that experienced casualties within a preceding 10-year period were at increased odds of disaster. Other significant predictors included safety decal status and hull material. Practical Applications: The results of this analysis emphasize the importance of implementing vessel-specific preventive maintenance plans. At an industry level, specific prevention policies should be developed focusing on high-risk fleets to identify and correct a wide range of safety deficits before they have catastrophic and fatal consequences.

Factors associated with crewmember survival of commercial fishing vessel sinkings in Alaska.

Occupational fatality surveillance has identified that fishing vessel disasters, such as sinkings and capsizings, continue to contribute to the most deaths among crewmembers in the US fishing industry. When a fishing vessel sinks at sea, crewmembers are at risk of immersion in water and subsequent drowning. This study examined survival factors for crewmembers following cold water immersion after the sinking of decked commercial fishing vessels in Alaskan waters during 2000-2014. Two immersion scenarios were considered separately: immersion for any length of time, and long-term immersion defined as immersion lasting over 30 minutes. Logistic regression was used to predict the odds of crewmember survival. Of the 617 crewmembers onboard 187 fishing vessels that sank in Alaska during 2000-2014, 557 (90.3%) survived and 60 died. For crewmembers immersed for any length of time, the significant adjusted predictors of survival were: entering a life-raft, sinking within three miles of shore, the sinking not being weather-related, and working as a deckhand. For crewmembers immersed for over 30 minutes, the significant adjusted predictors of survival were: wearing an immersion suit, entering a life-raft, working as a deckhand, and the sinking not being weather-related. The results of this analysis demonstrate that in situations where cold water immersion becomes inevitable, having access to well-maintained, serviceable lifesaving equipment and the knowledge and skills to use it properly are critical.

Fatal Falls Overboard in Commercial Fishing - United States, 2000-2016.

Commercial fishing is one of the most dangerous jobs in the United States, with a 2016 work-related fatality rate (86.0 deaths per 100,000 full-time equivalent workers) 23 times higher than that for all U.S. workers (3.6) (1). Sinking vessels cause the most fatalities in the industry; however, falling from a fishing vessel is a serious hazard responsible for the second highest number of commercial fishing-associated fatalities (2,3). CDC's National Institute for Occupational Safety and Health (NIOSH) analyzed data on unintentional fatal falls overboard in the U.S. commercial fishing industry to identify gaps in the use of primary, secondary, and tertiary prevention strategies. During 2000-2016, a total of 204 commercial fishermen died after unintentionally falling overboard. The majority of falls (121; 59.3%) were not witnessed, and 108 (89.3%) of these victims were not found. Among 83 witnessed falls overboard, 56 rescue attempts were made; 22 victims were recovered but were not successfully resuscitated. The circumstances, rescue attempts, and limited use of lifesaving and recovery equipment indicate that efforts to reduce these preventable fatalities are needed during pre-event, event, and post-event sequences of falls overboard. Vessel owners could consider strategies to prevent future fatalities, including lifeline tethers, line management, personal flotation devices (PFDs), man-overboard alarms, recovery devices, and rescue training.

Work-related nonfatal injuries in Alaska's aviation industry, 2000-2013.

Aviation is a critical component of life in Alaska, connecting communities off the road system across the state. Crash-related fatalities in the state are well understood and many intervention efforts have been aimed at reducing aircraft crashes and resulting fatalities; however, nonfatal injuries among workers who perform aviation-related duties have not been studied in Alaska. This study aimed to characterize hospitalized nonfatal injuries among these workers using data from the Alaska Trauma Registry. During 2000-2013, 28 crash-related and 89 non-crash injuries were identified, spanning various occupational groups. Falls were a major cause of injuries, accounting for over half of non-crash injuries. Based on the study findings, aviation stakeholders should review existing policies and procedures regarding aircraft restraint systems, fall protection, and other injury prevention strategies. To supplement these findings, further study describing injuries that did not result in hospitalization is recommended.

Work-related mortality in the US fishing industry during 2000-2014: New findings based on improved workforce exposure estimates.

BACKGROUND: Commercial fishing is a global industry that has been frequently classified as high-risk. The use of detailed surveillance data is critical in identifying hazards. METHODS: The purpose of this study was to provide updated statistics for the entire US fishing industry during 2010-2014, generate fleet-specific fatality rates using a revised calculation of full-time equivalent estimates, and examine changes in the patterns of fatalities and in risk over a 15-year period (2000-2014). RESULTS: During 2010-2014, 188 commercial fishing fatalities occurred in the United States. Vessel disasters and falls overboard remain leading contributors to commercial fishing deaths. The Atlantic scallop fleet stands out for achieving substantial declines in the risk of fatalities over the 15-year study period. However, fatality rates ranged from 21 to 147 deaths per 100 000 FTEs, many times higher than the rate for all US workers. CONCLUSIONS: Although the number of fatalities among commercial fishermen in the United States has generally declined since 2000, commercial fishing continues to have one of the highest occupational fatality rates in the United States. The sustainable seafood movement could assist in improving the health and safety of fishing industry workers if worker well-being was integrated into the definition of sustainable seafood.

Preventing fatal winch entanglements in the US southern shrimp fleet: A research to practice approach.

INTRODUCTION: During 2000-2011, 35 injuries (8 fatal) involving winches were reported to the Coast Guard in the Southern shrimp fleet. Injuries involving the main winch drums had a higher risk for fatal outcomes compared to injuries involving the winch cathead (RR=7.5; 1.1-53.7). The objective of this study was to design effective solutions to protect deckhands from entanglement hazards posed by winches found on the vessels in the Southern shrimp fleet. METHODS: Based on injury characteristics, site visit observations, and input from vessel owners, NIOSH determined that the design and implementation of effective main-winch guarding was a feasible first-step in mitigating the entanglement hazard. Design considerations for stationary guards favor systems that are simple, affordable, durable, unobtrusive, and will not interfere with normal fishing operations. In addition, an auxiliary-stop method was tested to prevent entanglements in try-net winches. RESULTS: Standardized passive guards were designed for three commonly found main winch models. Initial prototype guards have been sea-tested. The design of six additional guards is underway, for a total of three iterations for each winch model identified. These will incorporate features found to be valued by fishermen, will be more efficient, and will reduce the overall cost of fabrication and maintenance. Sea testing of these iterations continues. The auxiliary-stop circuit control prototype system was designed to prevent entanglements in the try-net winch and is currently being sea tested. DISCUSSION: NIOSH has completed initial designs for stationary-winch guards. Through collaborations with shrimper associations and safety groups, the successfully tested winch guard and auxiliary stop designs will be made available to qualified welders and craftsmen to use. This approach has proven effective in preventing other types of winch injuries. PRACTICAL APPLICATIONS: Injury epidemiologic methods and industry input are an effective way to identify workplace hazards and to design effective safety interventions to control hazards.

Population structure of invasive Streptococcus pneumoniae isolates among Alaskan children in the conjugate vaccine era, 2001 to 2013.

Here we describe the relationships between serotypes, genotypes, and antimicrobial susceptibility among isolates causing invasive pneumococcal disease in Alaskan children during the pneumococcal conjugate vaccine (PCV) era. From 2001 to 2013 we received 271 isolates representing 33 serotypes. The most common serotypes were 19A (29.5%, n= 80), 7F (12.5%, n= 34), 15B/C (6.3%, n= 17), and 22F (4.8%, n= 13). Multilocus sequence typing identified 11 clonal complexes (CC) and 45 singletons. Five CCs accounted for 52% (141/271) of the total: CC199 (21% [n= 57], serotypes 19A, 15B/C), CC191 (12.2% [n= 33], serotype 7F), CC172 (10.3% [n= 28], serotypes 19A, 23A, 23B), CC433 (4.4% [n= 12], serotype 22F), and CC100 (4.4% [n= 12], serotype 33F). The proportion of isolates nonsusceptible to erythromycin and tetracycline increased after 13-valent PCV use (14% [n= 30] versus 29% [n= 14]; P= 0.010) and (4% [n= 9] versus 22% [n= 11]; P< 0.001), respectively. The genetic diversity also increased after 13-valent PCV use (Simpson's diversity index =0.95 versus 0.91; P= 0.022).