What about the Rest of Them? Fatal Injuries Related to Production Agriculture Not Captured by the Bureau of Labor Statistics (BLS) Census of Fatal Occupational Injuries (CFOI)

Cost of agricultural injuries in the United States: Estimates based on surveillance, insurance, and government statistics

BACKGROUND

Agriculture is a hazardous industry but the frequency and severity of agricultural injuries are not well documented as nonfatal injuries to self-employed farmers are excluded from national surveillance. The aim of this study was to provide new injury rate and cost estimates in US agriculture.

METHODS

Injury data were obtained from 2018 to 2020 Farm and Ranch Health and Safety Surveys. Responses from 7,195 farm/ranch operators included injury frequency, medical expense, and lost work time data. These injury rate and cost data were used to estimate national injury costs for self-employed farmers using Census of Agriculture operator count, injury costs for hired agricultural workers using Bureau of Labor Statistics (BLS) nonfatal injury count, and fatal injury costs using BLS count of fatal injuries.

RESULTS

The injury rate for self-employed farmers and ranchers was 15.25 injuries per 100 operators or 11.9 "recordable" injuries per 100 full time equivalent operators (FTE). Average costs for nonfatal injuries were: $10,878 for medical care, $4735 for lost work time, and $15,613 in total per injury case. The total national agricultural injury cost estimate was $11.31 billion per year; 11.3% higher than the earlier benchmark using 1992 data; both in March 2024 dollars. The cost burden was 2.1% of the US national gross farm income and 13.4% of the net farm income in 2019.

CONCLUSIONS

Injuries result in significant economic losses to farm and ranch operators, their family members, workers, and society. Preventive efforts should be scaled up to reduce the frequency and costs of agricultural injuries.

Forty years of struggle in North Carolina: Workplace segregation and fatal occupational injury rates

OBJECTIVE

To assess workplace segregation in fatal occupational injury from 1992 to 2017 in North Carolina.

METHODS

We calculated occupational fatal injury rates within categories of occupation, industry, race, age, and sex; and estimated expected numbers of fatalities among Black and Hispanic male workers had they experienced the rates of White male workers. We also estimated the contribution of workforce segregation to disparities by estimating the expected number of fatalities among Black and Hispanic male workers had they experienced the industry and occupation patterns of White male workers. We assessed person-years of life-lost, using North Carolina life expectancy estimates.

RESULTS

Hispanic workers contributed 32% of their worker-years and experienced 58% of their fatalities in construction. Black workers were most overrepresented in the food manufacturing industry. Hispanic males experienced 2.11 (95% CI: 1.86-2.40) times the mortality rate of White males. The Black-White and Hispanic-White disparities were widest among workers aged 45 and older, and segregation into more dangerous industries and occupations played a substantial role in driving disparities. Hispanic workers who suffered occupational fatalities lost a median 47 life-years, compared to 37 among Black workers and 36 among White workers.

CONCLUSIONS

If Hispanic and Black workers experienced the workplace safety of their White counterparts, fatal injury rates would be substantially reduced. Workforce segregation reflects structural racism, which also contributes to mortality disparities. Root causes must be addressed to eliminate disparities.

Counting Farm Injuries and Fatalities: An Assessment of Irish Occupational Health and Safety Surveillance Data Systems

OBJECTIVE

Generation of reliable data underpins the effectiveness of Occupational Health and Safety (OHS) surveillance systems. Despite the importance of understanding OHS data systems, there are few papers that provide overviews of their structure and/or content. This paper introduces a basic framework for assessing OHS data systems that will be of use to researchers internationally. We applied this approach to assess the Irish OHS data system by undertaking a data mapping exercise.

METHOD

We developed a checklist based on recommendations of monitoring and measurement of OHS proposed by the National Academies of Sciences, Engineering, and Medicine (USA). An assessment of published reports that present systematic OHS surveillance data was undertaken to identify the institutions or organisations responsible for collecting and curating the data, their remit, and, associated with this, their respective case definitions. We then provide an overview of the variables collected and these are then mapped against the checklist.

RESULTS

The assessment highlights that whilst the farm fatalities dataset provides complete coverage of all fatalities, regardless of age or employment status, the same is not true of the three non-fatal injuries datasets reviewed. There are important differences in the data collection methods and, associated with this, which populations are covered.

PRACTICAL APPLICATION

The assessment approach provides valuable insights into the strengths and weaknesses of a critical element of OHS surveillance systems, namely the production of datasets. This knowledge is important for researchers as understanding the data that informs their research is fundamental to good science. It is critical for policy-makers and other stakeholders to understand the strengths and weaknesses on which OHS policy, strategies, or education and training interventions are developed.

Tractors, Trees, and Rollover Protective Structures: A Cause for Concern

Injury and fatality events that are caused by tree work and tractor-related activities contribute to the already elevated rates of work-related injuries in the agriculture and logging sectors. This brief report highlights the circumstances surrounding these events, as well as a number of surveillance sources that identify the extent to which they contribute to the injury burden in these hazardous industries. These data sources include fatality investigations, agricultural injury news reports, consumer product injury data captured from emergency rooms and near-miss reporting data captured from individuals participating in the National Rollover Protective Structure Rebate Program (NRRP). Several recommendations for further research and interventional efforts are outlined, with particular consideration of the manner in which rollbars have been involved in falling object incidents.

Using State Agency Reports to Augment Ohio's Agricultural Injury Surveillance Efforts

BACKGROUND

Agriculture is a hazardous industry with undocumented injury events. Credible surveillance measures are critical for this industry, especially to guide injury prevention programs with targeted recommendations for specific commodity groups and populations. This multi-phase study explored the feasibility for two state agency databases, the Ohio Bureau of Workers' Compensation (BWC) Program and the Emergency Medical Services Incident Reporting System (EMSIRS), to augment the state's Bureau of Labor Statistics (BLS) annual reports.

METHODS

BWC data described injury claims in agricultural workplaces from 1999 to 2008. State EMSIRS data described the types of medical emergencies for which EMS services were requested to Ohio farms in 2013-2014. Descriptive analyses were performed on each distinctive source.

RESULTS

Over 14,000 BWC claims were analyzed, with primary nature of injury identified as sprains and strains of bodily extremities; falls were the most common cause of injury. The EMSIRS data provided 1,376 cases, where EMS services were requested to Ohio farms at injury onset. Some cases had possibility to be excluded in CFOI or employment claims data, with 24% patients 65 years and older and 6% children 13 years and younger. The primary cause of injury was falls, and the highest reported injury type was blunt trauma.

CONCLUSIONS

Both BWC and EMSIRS databases showed the potential to enhance Ohio's agricultural surveillance data with viable information not found in previously used systems. Each agency database had its own merits to further clarify and quantify morbidity. When used together, these sources enrich surveillance statistics to describe Ohio's agricultural injury incidents.

The Potential of AI and ChatGPT in Improving Agricultural Injury and Illness Surveillance Programming and Dissemination

Generative Artificial Intelligence (AI) provides unprecedented opportunities to improve injury surveillance systems in many ways, including the curation and publication of information related to agricultural injuries and illnesses. This editorial explores the feasibility and implication of ChatGPT integration in an international sentinel agricultural injury surveillance system, AgInjuryNews, highlighting that AI integration may enhance workflows by reducing human and financial resources and increasing outputs. In the coming years, text intensive natural language reports in AgInjuryNews and similar systems could be a rich source for data for ChatGPT or other more customized and fine-tuned LLMs. By harnessing the capabilities of AI and NLP, teams could potentially streamline the process of data analysis, report generation, and public dissemination, ultimately contributing to improved agricultural injury prevention efforts, well beyond any manually driven efforts.

Safety and Injury of US-Certified Organic Crop Producers in the Southwest Region

OBJECTIVES

Literature on occupational risks among organic farmers is scarce. This study explored safety practices and non-fatal injuries among organic producers, and the role of sociodemographic, work, and farm characteristics on safety and injury.

METHODS

Cross sectional survey of certified organic crop producers in the Southwest (SW) region of the United States (US). The Organic Integrity Database was used for recruitment. Data were collected through an electronic and paper survey.

RESULTS

Analyses were conducted on 115 cases; response rate was estimated at 25%. A high majority of respondents owned their operation and were younger than 65 years, male, educated beyond high-school, and non-Hispanic whites. Less than half had more than 10 years of experience in organic farming; one-third worked off the farm year-round. Safety practices were very basic despite the widespread use of equipment and machinery, and limited to wearing normal clothing and apparel such hats and glasses. About half of respondents (52.6%) reported non-fatal injuries in the past year; and one-third (32.7%) time lost due to injuries. The overall cumulative incidence rate was estimated at 5.3 injuries per 10 workers within the last year. The injury rate decreased with hours worked. Significant differences were found on gender and education level and safety practices, with female respondents and the more educated being more proactive in practicing safety. Those working less than 40 h/week, in farms smaller than 50 acres, using light machinery or compact utility tractors, and tractors without roll-over protection reported significantly higher injury frequency compared to their counterparts.

CONCLUSION

This study contributes unique data on an essential workforce not captured by current occupational injury and illness surveillance systems. It identifies important personal and contextual factors that may contribute to safety and injury in this population. The findings indicate the need to promote safety and prevent injuries that result in work time lost. This study may also inform future occupational safety and health research and practice, including surveillance, injury prevention programs that target certain workers and production practices, and policies that support and protect the organic farmer.

Industrial Hog Operation Workers' Perspectives on Occupational Exposure to Zoonotic Pathogens: A Qualitative Pilot Study in North Carolina, USA

Industrial hog operation (IHO) workers face a range of occupational hazards, including exposure to zoonotic pathogens such as livestock-associated antimicrobial-resistant Staphylococcus aureus and swine-origin influenza viruses with epidemic or pandemic potential. To better understand this population's occupational exposure to zoonotic pathogens, we conducted a community-driven qualitative research study in eastern North Carolina. We completed in-depth interviews with ten IHO workers and used thematic analysis to identify and analyze patterns of responses. Workers described direct and indirect occupational contact with hogs, with accompanying potential for dermal, ingestion, and inhalation exposures to zoonotic pathogens. Workers also described potential take-home pathways, wherein they could transfer livestock-associated pathogens and other contaminants from IHOs to their families and communities. Findings warrant future research, and suggest that more restrictive policies on antimicrobials, stronger health and safety regulations, and better policies and practices across all IHOs could afford greater protection against worker and take-home zoonotic pathogen exposures.

Animal-Related Injuries and Fatalities in the AgInjurynews Collection

OBJECTIVES

This research had three objectives. The first was to characterize reports of animal-related injuries found in the AgInjuryNews Dataset. The second objective was to compare the results of the AgInjuryNews reports to that of the Regional Rural Injury study. The third objective was to qualitatively and quantitatively assess the utility of using the AgInjuryNews database.

METHODS

A total of 104 reports on animal-related incidents representing 112 victims were sourced from AgInjuryNews. Chi square tests were performed comparing fatal and non-fatal injuries across age, gender, role in incident, animal, and activity. Additional chi square tests were performed to compare AgInjuryNews data with the results of Regional Rural Injury Study II across age, gender, animal, and activity. Utility of the dataset was assessed by examining the distribution of reports across states, the availability of articles, and qualitative observations.

RESULTS

Chi square results comparing fatal and nonfatal injuries were significant for victim gender. Results of the comparison of the two studies were significant for age and activity. A mismatch between the states with the highest populations of large animals and the states with the most reports in the AgInjryNews.org database was detected. Approximately 42% of reports the original articles were not accessible. Media bias plays a role in which cases are reported, but the size and accessibility of the dataset increases its utility.

CONCLUSION

Despite the limitations inherent to the dataset, the amount of freely accessible information and the level of insight provided make AgInjuryNews a valuable resource for agricultural injury research.

ROPS commentary-Addressing our fatal blind spot: Applying evidence-based solutions to reduce the most frequent cause of death on U.S. farms

Tractor overturns are the most prominent contributing factor to death on U.S. farms and have been for decades. While public health researchers hypothesized years ago that overturn fatalities would largely disappear as older tractors were replaced by newer ones, this has not happened. In the meantime, farmers continue to die in these easily preventable and tragic events. Not only are tractor rollover protective structures (ROPS) 99% effective in preventing death in the event of an overturn, a national program exists to connect farmers with ROPS. While this program has been popular with farmers, and the cost-effectiveness of providing farmers with technical support and cost-sharing rebates has been demonstrated, many states lack access to ROPS rebates, even those states with the highest number of overturn fatalities. Given the evidence, it is difficult to reconcile the lack of policy or public investment in a solution that decisively addresses the most pernicious contributor to death in the agricultural industry. In this commentary, we highlight the science behind this proven solution to tractor overturns and the essential role that the media and implementation science can play in encouraging policy-makers to save lives.

An Assessment of Horse-Drawn Vehicle Incidents from U.S. News Media Reports within AgInjuryNews

Some old-order Anabaptist communities rely on animal-drawn vehicles for transportation and farm work. This research examines reports involving horse-drawn vehicles found in the AgInjuryNews dataset, which provides a publicly accessible collection of agricultural injury reports primarily gathered from news media. The goals of this research are to characterize the reports and to compare results with previous research to assess the utility of using AgInjuryNews to examine horse-drawn vehicle incidents. A total of 38 reports representing 83 victims were identified. Chi-square tests comparing victim and incident traits for fatal and nonfatal injuries were significant for the victim’s role in the incident, vehicle type, presence of a motor vehicle, rear-ending by a motor vehicle, spooked horses, a victim being run over or struck by a vehicle, and a victim being ejected or falling from a vehicle. Additional analysis of incidents involving horse-drawn farm equipment showed that a significantly higher proportion of off-road incidents were fatal compared to on-road incidents. The proportion of fatal injuries in the AgInjuryNews dataset was approximately 10 times higher than observed in a study using Pennsylvania Department of Transportation (DOT) data. Compared to previous research, the AgInjuryNews reports contained a higher proportion of incidents where a motor vehicle rear-ended a horse-drawn vehicle, and fewer cases of horse-drawn vehicles being struck by motor vehicles while crossing or entering a main road and making left turns. Reports of buggy crashes found in AgInjuryNews differed from those found in a Nexis Uni search in that the bulk of the articles from Nexis Uni referred to cases involving criminal charges for impaired driving or hit-and-run crashes. While it is evident that the reports included in the sample are incidents that media sources find compelling rather than comprehensive injury surveillance, it is possible to gain new insights using the AgInjuryNews reports.

Needs assessment survey for enhancing United States child agricultural injury prevention capacity: Brief report

The dissemination of childhood agricultural safety and health information and resources through organizations that farmers trust enhances implementation and the Socio-Ecological Model can help identify these organizations. However, to become effective partners in improving agricultural health and safety, organizations need to build capacity in child agricultural safety and health, thus, more information is needed about these organizations' current practices, needs, and capacity for leadership, policy makers, and knowledge mobilization. An online survey was administered to organization leaders with an interest in child agricultural injury prevention, chosen through agricultural health and safety organization membership lists. Invitations to participate in the online survey were mailed to 95 organization leaders with three weekly reminders, resulting in participation from 50 organization leaders (53% response rate). Respondents indicated a high level of awareness of child agricultural injuries, yet few were actively engaged in injury prevention. When asked about "needs" for building capacity in injury prevention, over half (56%) identified a need for more promotion and dissemination of safety resources and strategies, including ATV safety, no extra riders on equipment, and keeping young children out of the worksite. The only topic that more than half of the organizations (54%) identified as "needing more information" was childhood agricultural injury surveillance. This assessment yielded valuable details for identifying opportunities, priorities, and topics for future collaborations and capacity building. Findings help inform national and international planning committees' work, such as the next iteration of a US National Action Plan for Childhood Agricultural Injury Prevention, scheduled for release in 2024.

Associations among Health Status, Occupation, and Occupational Injuries or Diseases: A Multi-Level Analysis

PURPOSE

The present study used a hierarchical generalized linear model to explore the effects of physical and mental health and occupational categories on occupational injuries and diseases.

METHODS

The data were obtained from the Registry for Beneficiaries of the 2002-2013 National Health Insurance Research Database. The benefit categories involved adults with occupational injuries and diseases. Six major occupational categories and 28 subcategories were used. The main analysis methods were binary logistic regression (BLR) and hierarchical generalized linear model (HGLM).

RESULTS

After adjustment for relevant factors, the three major occupation subcategories most likely to develop occupational injuries and diseases were Subcategory 12 "employees with fixed employers" of Category 1 "civil servants, employees in public or private schools, laborers, and self-employed workers"; Subcategory 2 "employees in private organizations" of Category 1; and "sangha and religionists" of Category 6 "other citizens." Conditions such as mental disorders and obesity increased the risk of occupational injuries and diseases.

CONCLUSION

A portion of the occupational categories had a higher risk of occupational injuries and diseases. Physical and mental health issues were significantly correlated with occupational injuries and diseases. To the authors' knowledge, this is the first study to use HGLM to analyze differences in occupational categories in Taiwan.

AgISM: A Novel Automated Tool for Monitoring Trends of Agricultural Waste Storage and Handling-Related Injuries and Fatalities Data in Real-Time

Availability of summarized occupational injury data is essential for establishing complete incident surveillance systems, targeting incident preventative efforts, assessing the efficacy of prevention programs, and enhancing workplace safety. There are currently limited automated injury monitoring systems for summarizing occupational injuries obtained from electronic news and other sources, or for visualizing real-time data through an output platform. A “near” real-time surveillance tool could enable researchers to visualize data as it is being collected and provide a more rapid monitoring method to identify patterns in injury data. An automated data pipeline method could provide more current, consistent, and reliable information for injury surveillance systems and injury prevention purposes. Such a system could help public policy makers, epidemiologists, and injury prevention professionals spend less time and effort on classifying cases, increase confidence in the data, and respond quicker to “patterns” of specific types of incidents. Currently, injury surveillance approaches generally rely on manual coding of injury data, resulting in inconsistencies in classification of incident, and contributing factors and considerable delays in publishing results. This study focused on developing and testing a more automated coding methodology for use with incident narratives for further data mining, analysis, and interpretation. The concept was tested on 491 documented fatalities or serious injuries involving agricultural waste storage, handling, and transport operations. The approach provided current and real-time summarization of incident data along with data analysis and visualization by using a standard questionnaire for record-keeping, Python data frames, and the MySQL database. Findings in this study provided evidence for the reliability of classifying injury news clipping narratives into external real-time incident categories. Results showed a very encouraging performance for the chosen model to monitor injury and fatality incidents with efficiency, simplicity, data quality, timeliness, and a consistent coding process.

Injuries and Fatalities Related to Skid Steers: 2015–2020

Skid steers are versatile self-propelled machines that are regularly used in a variety of recreational applications and occupational industries. They can be hazardous for both operators and bystanders. The purpose of this paper is to describe patterns of skid steer injuries in the US from 2015 to 2020. Data were obtained from Occupational Safety and Health Administration (OSHA) accident reports and the severe injury database. Agriculture-related incidents were obtained from AgInjuryNews. The study identified 312 skid steer-related injuries (2015–2020) in OSHA, with an additional 68 agricultural injuries identified using AIN. Construction, administrative and waste management, and agriculture industries were the top three industries with the highest number of injuries. Bystander workers experienced a higher number of injuries than operators. Contact with the machine was the most prevalent and more fatal than the other injury events. Agricultural skid steer injuries involved a broad age range of victims, from very young children to adults. These findings emphasize the need for improved safety engineering and clear safety guidelines for skid steer operators and those who are around skid steers. With the increased prevalence of skid steers across industries, it is imperative to have cohesive and comprehensive safety regulations, guidelines, and policy enforcement.

Agricultural youth injuries: An updated review of cases from U.S. news media reports, 2016-2021

Introduction

Fatal and non-fatal youth (ages 0-17) injuries in U.S. agriculture continue to be a significant public health concern. Despite sustained work and attention from federally supported research programming, we continue to observe an unacceptably high number of life-altering and life-ending traumatic injuries to youth in agricultural environments. Likewise, there is still a gap in stringent systematic agricultural injury and/or illness surveillance at the federal level. This paper will provide an updated review of child agricultural injuries from U.S. news media reports, expanding upon this author team's initial 2018 report.

Methods

Data collection from 2016 to 2021 occurred as part of the AgInjuryNews initiative, and data were coded according to the Farm and Agricultural Injury Classification (FAIC) system and the Occupational Injury and Illness Classification System (OIICS). The AgInjuryNews system primarily contains news media reports. Categorical variables were analyzed and compared using a chi-square test. In addition, the Jonckheere-Terpstra test for trend was used to test the yearly change in the number of youth injuries.

Results

We observed a general decrease in agricultural injuries compared to the original 2015-2017 dataset. Younger children (<5 years-old) and males were more often injured and more fatally injured than older children and females, respectively. Males and older victims were more likely to suffer an occupational-related injury compared to females and younger victims, respectively. Vehicles remained a major source of injuries, with tractors comprising 28%, and ATVs/UTVs comprising 26% of all injuries. Roadway incidents involving tractors and UTVs were less often fatal compared to non-roadway incidents, while ATVs were more fatal on roadways.

Discussion

This updated review shows childhood agricultural injuries and fatalities continue to be a major public health concern within the US. It is unclear if the trend downward in injuries is due to reporting, data capture methods, or a true decrease in injuries. These data continue to be of interest to stakeholders in academia, public health, government, and private industry-user groups who regularly and consistently seek this type of information, often from multiple data sources, including as registered users on AgInjuryNews.org. These data identify emerging issues within the industry and further inform national and international planning committees' work.