1. Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations
- Author
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Steven A. Freeman, Fatemeh Davoudi Kakhki, and Gretchen A. Mosher
- Subjects
Occupational injury ,Poison control ,Logistic regression ,lcsh:Technology ,Suicide prevention ,Occupational safety and health ,Odds ,lcsh:Chemistry ,03 medical and health sciences ,0302 clinical medicine ,Environmental health ,Injury prevention ,medicine ,0501 psychology and cognitive sciences ,General Materials Science ,lcsh:QH301-705.5 ,Instrumentation ,050107 human factors ,occupational incident analysis ,safety practices ,Fluid Flow and Transfer Processes ,lcsh:T ,business.industry ,Process Chemistry and Technology ,logistic regression ,05 social sciences ,General Engineering ,Human factors and ergonomics ,medicine.disease ,030210 environmental & occupational health ,lcsh:QC1-999 ,Computer Science Applications ,lcsh:Biology (General) ,lcsh:QD1-999 ,lcsh:TA1-2040 ,lcsh:Engineering (General). Civil engineering (General) ,business ,lcsh:Physics - Abstract
Agribusiness industries are among the most hazardous workplaces for non-fatal occupational injuries. The term &ldquo, post-incident state&rdquo, is used to describe the health status of an injured person when a non-fatal occupational injury has occurred, in the post-incident period when the worker returns to work, either immediately with zero days away from work (medical state) or after a disability period (disability state). An analysis of nearly 14,000 occupational incidents in agribusiness operations allowed for the classification of the post-incident state as medical or disability (77% and 23% of the cases, respectively). Due to substantial impacts of occupational incidents on labor-market outcomes, identifying factors that influence the severity of such incidents plays a significant role in improving workplace safety, protecting workers, and reducing costs of the post-incident state of an injury. In addition, the average costs of a disability state are significantly higher than those of a medical state. Therefore, this study aimed to identify the contributory factors to such post-incident states with logistic regression using information from workers&rsquo, compensation claims recorded between 2008 and 2016 in the Midwest region of the United States. The logistic regression equation was derived to calculate the odds of disability post-incident state. Results indicated that factors influencing the post-incident state included the injured body parts, injury nature, and worker&rsquo, s age, experience, and occupation, as well as the industry, and were statistically significant predictors of post-incident states. Specific incidents predicting disability outcomes included being caught in/between/under, fall/slip/trip injury, and strain/injury by. The methodology and estimation results provide insightful understanding of the factors influencing medical/disability injuries, in addition to beneficial references for developing effective countermeasures for prevention of occupational incidents.
- Published
- 2019
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