Determinants of injury among older Saskatchewan farm operators: A prospective cohort study

Profile and risk factors in farmer injuries: a review based on Haddon matrix and 5 E's risk reduction strategy

Farmers are considered a high-risk group for intentional and unintentional injuries. This review identified significant risk factors for agricultural injuries in farmers and explored injury prevention countermeasures based on the literature. Therefore, CiteSpace software was used to analyze the relevant literature in this field. Additionally, we identified both key risk factors and countermeasures using the Haddon matrix and the 5 E's risk reduction strategies conceptual framework, respectively. The risk factors were identified from four categories (host, agent, physical environment, and social environment) corresponding to three phases (pre-event, event, and post-event). Interventions of 5 E's risk reduction strategies including education, engineering, enforcement, economic, and emergency response have been proven effective in preventing injuries or reducing their severity. Our findings provide a comprehensive foundation and research direction for the study and prevention of injuries among farmers.

Farm-related injury deaths in Australia (2001-20)

OBJECTIVE

To describe the agents, pattern and trends of unintentional farm fatalities in Australia (2001-2020).

METHODS

Review of study of National Coronial Information System data.

DESIGN

Descriptive.

SETTING

Australia (2001-2020).

PARTICIPANTS

All cases involving fatal work and non-work injury events on a farm.

MAIN OUTCOME MEASURES

Patterns and agents of injury events, with trends for all-cause deaths based on rates per 10 000 farms and work-related incidents (per 100 000 workers and 1 000 000 h worked).

RESULTS

There were 1584 unintentional farm fatalities (annual mean 79). Two-thirds of cases were work-related (68%). Major agents of injury were farm vehicles (39%) and machinery (26%). Persons aged over 55 years were involved in 58% of all work-related incidents and were significantly more likely to die than younger cohorts when assessed against hours worked. Death rates involving all on-farm fatal incidents (both work and non-work) per 10 000 farms (p = 0.015) and work-related rates per 100 000 workers (p = 0.015) reduced over the period, with both demonstrating a fluctuating rate. There was no change in the work-related rates when assessed against hours worked (p = 0.276).

CONCLUSION

Over the period, the annualised number of deaths fell by approximately 24% (98-75), with agents of injury remaining similar. General trends suggest a reduction in the overall death rates for work and non-work incidents. However, trends were less apparent when the reduction of farms (~19%), workers (~7%) and hours worked (no change), were accounted for. Targeted approaches are required to stimulate improvements in these preventable incidents.

Childcare for farm families: A key strategy to keep children safe yet largely absent from farm programming

Despite long-standing safety recommendations that non-working children be supervised off the worksite by an adult, little is known about farm families' ability to comply. We conducted a review of 92 documents and 36 key informant interviews in three U.S. states (Ohio, Vermont, and Wisconsin) to assess how farm service providers and farm organizations address the intersection of children and childcare with farm work and farm safety in programming. Through their programming, these two groups deeply influence farm families' social systems, affecting farm safety and farm business decisions. Study design and result interpretations were grounded in the women in agriculture literature, which examines the needs and realities of farm women (often the primary caregivers). Most documents reviewed did not address children, and even fewer addressed childcare. Interviews confirm findings of the document review. Despite awareness that farm families juggle work and children, few interviewees explicitly integrated children and childcare topics due to a messy and complex set of individual- and structural-level factors. We identified four possible, overlapping explanations for this tension: valuation of care vs. farm work; farm programming's traditional emphasis on the farm business; alignment of the programming with the agrarian ideal of the family farm; and the mismatch between farm programming scope, resources available, and childcare challenges. We conclude with two main implications for farm safety programs and farm children safety. First, farm programming's reinforcement of the social and cultural expectations regarding children's involvement in the farm operation from a young age could be counterproductive from a farm safety standpoint and miss an opportunity to provide alternative models of childrearing. Second, the invisibility of the lived realities of raising children may lead farm parents to distrust farm programming and deter them from participating.

Identifying Farmer Workplace Injury Risk Factors in Ireland Using Farm Accounts Data

Identification of occupational workplace injury risk factors is dependent on gaining sufficient and reliable data on both injury occurrence and associated workplace factors. Assessing workplace injury risk factors associated with farming is challenged by non-collection, non-reporting, or under-reporting by farmers, particularly those operating family farms in a self-employed manner. A supplementary (or add-on) farm operator (FO) workplace injury survey was undertaken in association with the Irish National Farm Survey (NFS), which is responsible for provision of Irish farm-level data to the European Commission (EC) Farm Accountancy Data Network (FADN). Data from this add-on survey were analyzed in association with farm and socio-economic data routinely collected by NFS as a component of the FADN. The combined data-set was analyzed using both descriptive and inferential statistical techniques including multivariate logistic regression to identify risk factors for occurrence of farm operator workplace injuries (FOWI). FOWI levels were significantly higher on farms where both the FO and their spouse engaged in Off Farm Employment (OFE). More generally, FO injury levels were associated with farm workload and investment levels. The study demonstrates how FADN farm and socio-economic data can be combined with additional FO workplace injury data to identify workplace injury risk factors. The study identifies a risk factor for FOWI occurrence where both FO and spouse engaged in OFE. More generally, it indicates that farm workplace injuries are associated with farm management-related factors.