Farm Safety Research to Practice: The Long Road From the Laboratory to the Farm

Beyond Age and Cause: A Multidimensional Characterization of Fatal Farm Injuries in Ireland

The study seeks to enhance understanding of the complex nature of fatal farm injuries and thereby support the development of targeted safety messages or interventions. The research analyses fatal farm injuries surveillance data collected by the Health and Safety Authority (Ireland) for the period 2004-2018. Utilizing Non-Linear Canonical Correlation Analysis (NLCCA) to identify similarities and differences between 274 fatal injuries, multiple interactions and correlations between two sets of variables were identified. The analysis identified two major patterns of injury. The first relates to older farmers (60+) who were killed due to being struck by an object in motion, i.e. a tractor or machine. These injuries occurred mainly during the summer or winter between 13:00 and 18:00 in the Southern-Eastern regions. The second pattern also relates to older farmers, however these fatalities are associated with beef production and the primary cause of injury was being kicked or crushed by livestock. These injuries commonly occur in the Border, Midland, and Western regions where fatalities are prevalent during spring and outside of normal working hours. Assessing interactions between variables demonstrates to whom, how, when, and where fatal injuries affect different groups within the farm population. These findings provide regulators and farm safety stakeholders with key insights into background characteristics of fatal injuries including type of enterprise, time of day, season, and regional location that should be used to develop safety awareness, training, and targeted interventions to at-risk populations.

Towards a Better Understanding of Farm Fatalities: Identification and Estimation of Farming Fatality Rates

OBJECTIVE

Occupational fatality rates are useful in communicating key safety challenges associated with different industries or affecting different populations within those industries. Though seemingly intuitive, the calculation and use of fatality rates associated with farming needs to be carefully considered. This paper highlights difficulties and variability in Farm Fatality Rate (FFR) measures, proposes a series of rates appropriate for assessments of farm safety, and demonstrates their usage through an analysis of farm workplace deaths in Ireland between 2008 and 2016.

METHODS

Six FFRs are calculated including: the Farm Household Rate (FHR); Farm Operator Rate (FOR); Family Worker Rate (FWR), Worker Rate (WR), Seasonal Fatality Rate (SFR) and, Enterprise Fatality Rate (EFR). To assess trends over time we calculate the rate using appropriate numerators and denominators in three sub-periods.

RESULTS

FFRs vary considerably depending on which numerator and denominator are deployed. Over the period, the FHR, FOR, and FWR increased due to growth in the number of fatalities and a slight decrease in the denominator populations. The WR has declined substantially over the full period. The QFR increased substantially for Q2-Q4 whilst the EFR highlights workers on dairy or beef enterprises being particularly at risk.

CONCLUSION

The characteristics of farm workforces present many challenges to the calculation of occupational fatality rates. We propose six alternatives that provide insights into the risks faced by farm households, farm operators, farm workers, seasonally and by type of farm enterprise. We recommend that, regardless of the rate used, the limitations associated with all fatality rates are clearly explained, particularly when engaging with media and occupational health and safety stakeholders.

Adapting the T0-T4 implementation science model to occupational health and safety in agriculture, forestry, and fishing: A scoping review

BACKGROUND

Despite much research to develop life-saving innovations for the agriculture, forestry, and fishing workforce, these populations continue to face the highest fatal and non-fatal injury rates in the United States, as many of these solutions are not fully adopted.

METHODS

A scoping review was conducted to provide an overview of research to practice efforts in this field. The language used to describe these initiatives, the utility of the NIH T0-T4 model, and the progress along the research to practice continuum were examined.

RESULTS

Fourteen eligible references demonstrated that progress in implementation science is lacking and that there is little consistency in how researchers apply the T0-T4 model; thus, a new model is presented.

CONCLUSIONS

Researchers in this field face several challenges when moving from research to practice. While some challenges are addressed with the proposed model, additional resources and infrastructure to support such initiatives are necessary.