2010
DOI: 10.1016/j.aap.2010.01.016
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Operational safety practices as determinants of machinery-related injury on Saskatchewan farms

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Cited by 36 publications
(29 citation statements)
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“…Generally speaking, the economic issues and the size of the farm/company often represents a barrier to the adoption of safety measures. In practice, debate with users and producers, confirmed that, as in Italy most companies and farms are small or medium size, are unable to bear additional costs for machinery interventions [14,57]. Hagel et al [58] identified associations between higher levels of "economic worries" and the absence of safety shields on grain augers.…”
Section: Economic Issuesmentioning
confidence: 94%
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“…Generally speaking, the economic issues and the size of the farm/company often represents a barrier to the adoption of safety measures. In practice, debate with users and producers, confirmed that, as in Italy most companies and farms are small or medium size, are unable to bear additional costs for machinery interventions [14,57]. Hagel et al [58] identified associations between higher levels of "economic worries" and the absence of safety shields on grain augers.…”
Section: Economic Issuesmentioning
confidence: 94%
“…There are a number of explanations for this: older units usually require more frequent maintenance interventions bringing users into intimate contact with hazardous parts (e.g., moving parts, cutting blades) which indirectly leads to a greater risk for injury [14,23,24]. Furthermore, a study by Baker et al [25] demonstrated that for each year increase in the age of the machine the odds of injury rise by 4%, particularly in machinery purchased second-hand.…”
Section: Introductionmentioning
confidence: 99%
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“…In order to understand the importance of safety practices as potential determinants of injury, Narasimhan et al (2010) examined two safety practices as risk factors for injury, the presence of safety devices on machinery, and low levels of routine machinery maintenance. The authors used the Saskatchewan Farm injury data (n = 2,390 farms) and multiple Poisson regression models.…”
Section: Introductionmentioning
confidence: 99%