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Logging workers are at high risk of injury, and although data on fatal injuries exists, less is known about non-fatal injuries. The purpose of this study is to describe initial trends in logging morbidity in Maine and New Hampshire using pre-hospital care reports. Demographics and specifics of the event were recorded for each incident case. Both quantitative and qualitative analyses were employed. Logging injuries (n = 70) were primarily due to trees, heavy equipment, and chainsaws. Interventions focused on heavy equipment safety (particularly slips, trips, and falls), and personal protective equipment use would be warranted based on the findings of this surveillance system. Our methods are able to capture traumatic injury in logging, in sufficient detail to prioritize interventions and to evaluate their outcomes. The system is low-cost and has the potential to be sustained over a long period. [ABSTRACT FROM AUTHOR]

Objectives: Agriculture is a dangerous industry, and although data on fatal injuries exist, less is known about nonfatal injuries. The purpose of this study is to describe trends in agricultural morbidity in Maine and New Hampshire from 2008 to 2010 using a newly established passive surveillance system. This passive system is supplied by injury cases gathered from prehospital care reports and hospital data. Methods: Demographics and specifics of the event were recorded for each incident case. Results: The average age of injured people in Maine and New Hampshire was 41.7. Women constituted 43.8% of all agricultural injuries. Machinery- (n= 303) and animal- (n= 523) related injuries accounted for most agricultural incidents. Of all injured women, over 60% sustained injuries due to animal-related causes. Agricultural injuries were spread across the two states, with clustering in southern New Hampshire and south central Maine, with additional injuries in the Aroostook County area, which is located in the northeast part of the state. Seasonal variation in agricultural injuries was evident with peaks in the summer months. There was some overlap between the agricultural and logging industry for tree-related work. Conclusions: Our methods are able to capture traumatic injury in agriculture in sufficient detail to prioritize interventions and to evaluate outcomes. The system is low-cost and has the potential to be sustained over a long period. Differences in rates of animal- and machinery-related injuries suggest the need for state-specific safety prioritization. [ABSTRACT FROM AUTHOR]

Objective: Agriculture and logging rank among industries with the highest rates of occupational fatality and injury. Establishing a nonfatal injury surveillance system is a top priority in the National Occupational Research Agenda. Sources of data such as patient care reports (PCRs) and hospitalization data have recently transitioned to electronic databases. Methods: Using narrative and location codes from PCRs, along with International Classification of Diseases, 9th Revision, external cause of injury codes (E-codes) in hospital data, researchers are designing a surveillance system to track farm and logging injury. Results: A total of 357 true agricultural or logging cases were identified. Conclusions: These data indicate that it is possible to identify agricultural and logging injury events in PCR and hospital data. Multiple data sources increase catchment; nevertheless, limitations in methods of identification of agricultural and logging injury contribute to the likely undercount of injury events. [ABSTRACT FROM AUTHOR]

This article provides an estimate for the economic costs of agricultural injuries sustained in the states of Maine and New Hampshire between the years 2008 and 2010. The authors used a novel dataset of 562 agriculturally related occupational injuries, and cost estimates were generated using the CDC's Web-based Injury Statistics Query and Reporting System (WISQARS). Individual cases from the dataset that did not match the query options for WISQARS were excluded. Of the 562 agricultural injuries identified in the dataset, 361 met the WISQARS criteria. The remaining 201 cases were judged to be incompatible with the WISQARS query criteria. Significant differences (p 0.0001) were found between the median costs of eight types of injury. Amputations (median = $70,077) and fractures (median = $13,365) were found to be the most expensive types of injury. The total cost of the 361 injuries for which estimates were available was $6,342,270. Injuries that reportedly involved machinery were found to be more expensive than injuries caused by animals. This article highlights the difference in the total cost of injury between types of injuries and demonstrates that agricultural injuries were a significant economic burden for Maine and New Hampshire for the years 2008-2010. These data can be used to direct future preventive efforts. Finally, this article suggests that WISQARS is a powerful tool for estimating injury costs without requiring access to treatment or billing records., (Copyright© by the American Society of Agricultural Engineers.)

Background: Agriculture and logging are dangerous industries, and though data on fatal injury exists, less is known about non-fatal injury. Establishing a non-fatal injury surveillance system is a top priority. Pre-hospital care reports and hospitalization data were explored as a low-cost option for ongoing surveillance of occupational injury., Methods: Using pre-hospital care report free-text and location codes, along with hospital ICD-9-CM external cause of injury codes, we created a surveillance system that tracked farm and logging injuries., Results: In Maine and New Hampshire, 1585 injury events were identified (2008-2010). The incidence of injuries was 12.4/1000 for agricultural workers, compared to 10.4/1000 to 12.2/1000 for logging workers., Conclusions: These estimates are consistent with other recent estimates. This system is limited to traumatic injury for which medical treatment is administered, and is limited by the accuracy of coding and spelling. This system has the potential to be both sustainable and low cost., (© 2017 Wiley Periodicals, Inc.)