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A stable dynamic cohort analysis of installing cost-effective rollover protective structures (CROPS).
Authors
Owusu-Edusei-K Jr.; Biddle-EA
Source
J Agric Saf Health 2007 Feb; 13(2):177-187
Link
http://asae.frymulti.com/abstract.asp?aid=22618&t=1 
NIOSHTIC No.
20035901 
Abstract
Cost-effective rollover protective structures (CROPS) are less costly model-specific rollover protective structure (ROPS) retrofits that are being developed and evaluated with the hope of increasing adoption and eventually preventing or mitigating injuries due to tractor overturns. A dynamic cohort of the estimated retrofittable non-ROPS tractors (accounting for attrition due to aging) was tracked over a 20-year period to determine the expected costs, as well as the expected number of fatal and non-fatal injuries resulting from tractor overturns. Two alternatives were tracked: No-ROPS and Install-CROPS. For a starting cohort size of 1,065,164 (an estimate for the year 2004), the Install-CROPS option prevented an estimated total of 878 (192 fatal and 686 non-fatal) injuries over the 20-year period. Expected costs were $513 million (cost of installing CROPS on all the non-ROPS tractors plus cost of the associated injuries) and $284 million (cost of injuries resulting from the No-ROPS option) over the same time period. Thus, the net cost per injury prevented was $260,820. When the cost of intervention ($1,000 for purchasing, shipping, and installation of existing ROPS retrofit) was used in the analysis, the cost-effectiveness ratio was $927,000 per injury prevented over the 20-year period. Thus, installing CROPS instead of existing ROPS retrofits improved the cost-effectiveness ratio substantially, with a 72% reduction in the net cost per injury prevented.
Keywords
Agricultural-industry; Agricultural-machinery; Agricultural-processes; Agriculture; Equipment-design; Farmers; Injury-prevention; Protective-equipment; Protective-measures; Safety-equipment; Safety-measures; Work-operations; Work-practices; Author Keywords: Cost-effectiveness analysis; CROPS; ROPS; Sensitivity analysis; Stable dynamic cohort
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