Elsevier

Safety Science

Volume 103, March 2018, Pages 352-360
Safety Science

Using workers’ compensation claims data to characterize occupational injuries in the biofuels industry

https://doi.org/10.1016/j.ssci.2017.12.014Get rights and content

Highlights

  • Injuries in biofuel facilities investigated using worker’s compensation data.

  • Data obtained from a leading insurance company based in the U.S.

  • Age and Tenure of employee significant factors determining the claim amount.

  • Claim type, body part, nature, and cause of injury are also significant factors.

  • Strain, fractures, slips, falls, trips, show strong relationship with claim amount.

Abstract

Biofuels production is a fast growing and emerging industry. Occupational injuries are a serious problem due to their human, financial and social costs, yet little research has been published on injuries in the biofuels industry. Learning from past injuries are essential for preventing future occurrences, but the lack of injury information hinders this effort in the biofuels industry. The present study addresses this knowledge gap by utilizing data from over 900 workers’ compensation claims reported from 2008 to 2016 by ethanol and biodiesel facilities in the U.S. to characterize injury costs and severity. The total amount paid for each claim was used as a measure of injury severity, and the effects of age, tenure, type of claim, body part injured, nature and, cause of injury on the cost of work-related injuries were investigated. Contingency tables were used to classify the variable pairs, chi-square test and chi-square residuals were employed to evaluate the relation between the variable pairs and identify the at-risk groups. Results showed age, tenure of employee, type of claim, body part injured, nature of injury and, cause of injury have a significant influence in determining the claim amount. Age group 46–50, tenure group 1–2 years, strain and fractures injuries, slips, falls, or trips and, injuries to lower extremities were some of the at-risk groups identified. The findings from the study will assist biofuel producers to develop precisely targeted safety interventions that are effective in preventing worker injuries and also mitigating the financial and social losses from occupational injuries.

Introduction

The production of biofuels such as ethanol and biodiesel is a fast-growing business witnessing constant changes and improvements to its production processes (Dias et al., 2012, Gubicza et al., 2016, Moreno and Cozzani, 2015, Priambodo et al., 2015, Scovronick and Wilkinson, 2014). The manufacturing of biofuels involves processing, handling, and storing of grains such as corn, sorghum, wheat, and oilseeds as well as hazardous chemicals such as ammonia and sulfuric acid. The combination of grain handling and chemical hazards present a dangerous work environment (OSHA, 2016a, OSHA, 2016b). Handling and storing flammable liquids, working with heavy equipment, dealing with combustible dust and confined spaces, grain engulfment, working at heights, slips, falls, and trips are just some of the occupational safety hazards in biofuels production (OSHA, 2016b).

The presence of occupational safety hazards is a precursor for incidents and injuries in the workplace (Bevilacqua et al., 2012, Khanzode et al., 2012, Vredenburgh, 2002). Data gathered from trade journals, Occupational Safety and Health Administration (OSHA) records, Environmental Protection Agency (EPA) reports, academic, and newspaper articles suggest an increase in frequency of safety incidents, which in turn has resulted in higher levels of injuries and fatalities in biofuels producing facilities (Calvo Olivares et al., 2014, Calvo Olivares et al., 2015, Rivera et al., 2015). Despite the increased risk of worker injuries, very little scientific work has explored health and safety in the biofuels industry (Harper et al., 2008, Rivera et al., 2015, Riviere and Marlair, 2010).

Work-related injuries not only affect the injured worker and their family adversely but also impact the company in the form of increased medical, liability and insurance premium costs (Hajakbari and Minaei-Bidgoli, 2014). In addition to direct costs such as medical and indemnity payments, there are several indirect costs associated with workplace injuries. These indirect costs include equipment damage, equipment repair, incident investigation time, the cost of hiring and training an injured worker’s replacement, loss of reputation, loss of employee morale, loss of confidence and negative media attention (Gavious et al., 2009, Griend, 2011, Manuele, 2013). According to Bird et al. (1996), for every dollar in direct costs, there are $5 to $50 in property damage costs and $1 to $3 in other indirect costs associated with work-related injuries. Furthermore, Manuele (2013) suggested that the ratio of direct to indirect costs used by safety practitioners to estimate total injury costs is 1:4.

The average direct cost estimate for a work-related injury in the biofuels industry is $7150 (Griend, 2011). Using the 1:4 ratio, the estimate for indirect costs per injury equals approximately $28,600. Since biofuels production is a highly cost-sensitive business (Festel, 2008, Haarlemmer et al., 2014), such high injury costs represent a threat to the profitability of a biofuels operation. Hence, an improved understanding of injuries and fatalities in the biofuels industry is necessary to prevent work-related injury risks before they occur.

Learning from past safety events is a critical component of improving worker safety and preventing work-related injuries (Kletz, 2008, Pasman, 2009). Examining injuries and identifying associated causes provides valuable information that can help prevent recurrence of similar injuries (Ferjencik and Jalovy, 2010). Analysis of incident and injury data can also help identify at-risk groups (Anderson, 2009, Pirdavani et al., 2010), so targeted injury prevention strategies can be developed, thus improving the return on safety investments (Abdolhamidzadeh et al., 2011, Khanzode et al., 2011, Kim et al., 2012). In one example, Chettouh et al. (2016) examined incidents in an oil refinery and uncovered evidence that employees lacked safety awareness. One result of the research was suggested improvements to the hiring process and increased investments in safety education and professional competency. Likewise, Marhavilas et al. (2011) analyzed occupational injury data for an electric power provider and found that workers under the age of 45 years had the greatest risk of fractures, bruises and sprains injuries, caused due to slips, falls, and impacts with stationary objects.

Obtaining detailed historical records of safety events for data analysis is a challenge in the process industry (Meel et al., 2007, Pasman, 2009). In the U.S., organizations such as Occupational Safety and Health Administration, U.S Environmental Protection Agency, National Fire Protection Association, and the National Response Center track and collect data on industrial incidents (Keren, 2010). However, these organizations differ in their interests, procedures, and scope of data collection, and it is difficult to use their data for studying past incidents in a specific industry (Morrison et al., 2011, Tauseef et al., 2011). While some investigation has resulted in the development of an incident database for the biofuels industry (Calvo Olivares et al., 2014, Calvo Olivares et al., 2015), this database does not contain detailed historical records of work-related injuries.

The majority of employers in the U.S, including those in the biofuels industry, purchase workers’ compensation insurance to provide medical and indemnity benefits to an employee who suffers a work-related injury (Sengupta et al., 2012). For an employer, workers’ compensation insurance covers direct costs of a work-related injury, including medical expenses and wage replacement incurred by the injured employee (Bird et al., 1996, Griend, 2011, Manuele, 2013). Workers’ compensation data contains information that can contribute to injury prevention activities (Utterback et al., 2012). Several researchers have used workers’ compensation claims data to study occupational injuries in various industries (Coleman and Kerkering, 2007, Frank Neuhauser et al., 2013, Sears et al., 2013, Smith et al., 2012). To date, little research has explored the application of workers’ compensation claims data to characterize occupational injuries in the biofuels industry.

This study examined occupational injuries in biofuel production facilities using workers’ compensation claims data provided by a leading Midwest-based insurance company. The purpose of this study was to characterize the direct cost of occupational injury using the information obtained from the workers’ compensation claims including variables such as age, tenure of employee, and nature, cause and type of injury. A secondary purpose of the study was to identify and classify at-risk groups within the biofuels production industry.

Section snippets

Background

For the last ten years, the biofuels industry in the United States has been one of the fastest growing areas of the agribusinesses sector (Calvo Olivares et al., 2014, OSHA, 2016a). Between 2006 and 2012, biofuel production in the U.S. increased more than threefold, making the U.S. the number one producer of biofuel products in the world (EIA, 2016). The rapid growth in biofuels production has been accompanied by an increasing number of occupational injuries in the industry (Moreno and Cozzani,

Methods and data

Nearly all workers in the U.S. are covered by workers’ compensation insurance provided by their employer (Utterback et al., 2014). Employers provide this benefit to their employees by either purchasing insurance from an insurance carrier or through self-insurance (Reville et al., 2001a). When an employee is injured on the job, the insurance carrier or the self-insured employer pays the medical and indemnity costs. To provide information and to facilitate the payment, employers must create a

Characterizing claim amount based on employee age

The first research question investigated if the claim amount and the age of the injured employee were independent. The claim amount is the sum of all payments made by the workers’ compensation insurance provider to the injured employee. This amount includes medical, indemnity, and other miscellaneous payments made to the injured employee as compensation for their work related injury. For this reason, severe injuries, such as those resulting in disability or death have a higher claim amount than

Conclusion

Occupational injuries in the biofuels industry have received little attention in the research literature. Lack of a centralized source of data to investigate these incidents continues to be a challenge. This study proposes the use of workers’ compensation claims data as a useful resource for investigating workplace injuries in the biofuels industry. The objective of this study was to characterize the relationship of the claim amount with employee age and tenure, nature and cause of injury, type

Acknowledgement

The authors would like to thank Dr. Keri Jacobs, and Dr. Steve Freeman for their advice during the course of this research. The authors would also like to thank Mr. Jeremy Hadler for his help with the statistical analysis and Mr. Bret Ramirez for his help reviewing this manuscript.

Funding

The research did not receive any specific grant from funding agencies in the public, commercial or not-for-profit sectors.

References (95)

  • M.O.S. Dias et al.

    Integrated versus stand-alone second generation ethanol production from sugarcane bagasse and trash

    Bioresour. Technol.

    (2012)
  • M. Ferjencik et al.

    What can be learned from incidents in chemistry labs

    J. Loss Prev. Process Ind.

    (2010)
  • S.A. Freeman et al.

    Review of entrapments in bulk agricultural materials at commercial grain facilities

    J. Saf. Res.

    (1998)
  • A. Gavious et al.

    The costs of industrial accidents for the organization: developing methods and tools for evaluation and cost-benefit analysis of investment in safety

    J. Loss Prev. Process Ind.

    (2009)
  • K. Gubicza et al.

    Techno-economic analysis of ethanol production from sugarcane bagasse using a Liquefaction plus Simultaneous Saccharification and co-Fermentation process

    Bioresour. Technol.

    (2016)
  • G. Haarlemmer et al.

    Investment and production costs of synthetic fuels - a literature survey

    Energy

    (2014)
  • M.S. Hajakbari et al.

    A new scoring system for assessing the risk of occupational accidents: a case study using data mining techniques with Iran's Ministry of Labor data

    J. Loss Prev. Process Ind.

    (2014)
  • K. Jorgensen

    A tool for safety officers investigating “simple” accidents

    Saf. Sci.

    (2011)
  • K. Jorgensen

    Prevention of “simple accidents at work” with major consequences

    Saf. Sci.

    (2016)
  • V.V. Khanzode et al.

    Occupational injury and accident research: a comprehensive review

    Saf. Sci.

    (2012)
  • B.K. Kim et al.

    Case study analysis of the financial impact of catastrophic safety events

    J. Loss Prev. Process Ind.

    (2012)
  • T.A. Kletz

    Searchlights from the past

    J. Hazard. Mater.

    (2008)
  • L. Laflamme

    Age-related accident risks among assembly workers: a longitudinal study of male workers employed in the Swedish automobile industry

    J. Saf. Res.

    (1996)
  • A. Lopez Arquillos et al.

    Analysis of construction accidents in Spain, 2003–2008

    J. Saf. Res.

    (2012)
  • J.M. Marchetti et al.

    Techno-economic study of different alternatives for biodiesel production

    Fuel Process. Technol.

    (2008)
  • P.K. Marhavilas et al.

    On the development of a new hybrid risk assessment process using occupational accidents' data: application on the Greek Public Electric Power Provider

    J. Loss Prev. Process Ind.

    (2011)
  • A. Meel et al.

    Operational risk assessment of chemical industries by exploiting accident databases

    J. Loss Prev. Process Ind.

    (2007)
  • D.T. Morrison et al.

    Migrating an incident reporting system to a CCPS process safety metrics model

    J. Loss Prev. Process Ind.

    (2011)
  • P.S. Nigam et al.

    Production of liquid biofuels from renewable resources

    Prog. Energy Combust. Sci.

    (2011)
  • T. Niskanen

    Results of Finnish national survey in the chemical industry on EU legislation concerned with risk assessment and safety compliance climate

    J. Loss Prev. Process Ind.

    (2012)
  • J. Nouri et al.

    The evaluation of safety behaviors in a gas treatment company in Iran

    J. Loss Prev. Process Ind.

    (2008)
  • K.A. Owens et al.

    Fires, explosions and related incidents at work in 1992–1993

    J. Loss Prev. Process Ind.

    (1995)
  • H.J. Pasman

    Learning from the past and knowledge management: are we making progress?

    J. Loss Prev. Process Ind.

    (2009)
  • R. Priambodo et al.

    Novel technology for bio-diesel production from cooking and waste cooking oil by microwave irradiation

    Clean, Efficient Affordable Energy Sustain. Future

    (2015)
  • G. Reniers

    An optimizing hazard/risk analysis review planning (HARP) framework for complex chemical plants

    J. Loss Prev. Process Ind.

    (2009)
  • S. Salminen

    Have young workers more injuries than older ones? An international literature review

    J. Saf. Res.

    (2004)
  • N. Scovronick et al.

    Health impacts of liquid biofuel production and use: a review

    Glob. Environ. Change-Human Policy Dimensions

    (2014)
  • J.M. Sears et al.

    Predicting work-related disability and medical cost outcomes: a comparison of injury severity scoring methods

    Injury-Int. J. Care Injured

    (2014)
  • M. Suarez-Cebador et al.

    Severity of electrical accidents in the construction industry in Spain

    J. Saf. Res.

    (2014)
  • S.M. Tauseef et al.

    Development of a new chemical process-industry accident database to assist in past accident analysis

    J. Loss Prev. Process Ind.

    (2011)
  • M. van Tulder et al.

    Repetitive strain injury

    Lancet

    (2007)
  • M.N. Vinodkumar et al.

    Safety climate factors and its relationship with accidents and personal attributes in the chemical industry

    Saf. Sci.

    (2009)
  • A. Vlysidis et al.

    A techno-economic analysis of biodiesel biorefineries: assessment of integrated designs for the co-production of fuels and chemicals

    Energy

    (2011)
  • A.G. Vredenburgh

    Organizational safety: which management practices are most effective in reducing employee injury rates?

    J. Saf. Res.

    (2002)
  • H.C. Wu

    Explosion accident analysis of diaminodiphenolether process

    J. Loss Prev. Process Ind.

    (2004)
  • A. Agresti et al.

    Statistical Methods for the Social Sciences

    (2008)
  • M.L. Baldwin et al.

    Upper extremity disorders in the workplace: Costs and outcomes beyond the first return to work

    J. Occup. Rehabil.

    (2006)
  • Cited by (9)

    • Risk of tripping, minimum foot clearance, and step length when crossing a barrier

      2021, International Journal of Industrial Ergonomics
      Citation Excerpt :

      Falls are common both in daily life and at work. They have led to unintentional injuries globally (Hsieh et al., 2020; Hsu, 2016; Li et al., 2019a; Wadhwaniya et al., 2017) and have caused huge economic losses to individuals and society (Amandus et al., 2012; Ramaswamy and Mosher, 2018). The proportion of falls among all types of injury around the globe increased from 23.1% in 1997–2007 to 27.7% in 2007–2017 (James et al., 2018).

    • The impact of compensation data maturity on OHS indicators

      2020, Safety Science
      Citation Excerpt :

      A brief overview of the literature reveals many published studies that relied on this type of data. To mention a few recently published ones, Kurowski et al. (2017) used workers’ compensation (WC) claims to measure the effectiveness of a safe resident handling program in eastern United States; Marcum et al. (2018) identify characteristics of Washington state construction firms most at risk for future claims based on WC and unemployment insurance data; Newman et al. (2019) explore the landscape of work-related injury and illness in the Australian transportation industry with the help of compensation claims data; Ramaswamy and Mosher (2018) relied on WC claims to characterize occupation injuries in the US biofuels industry. WC data can be used to produce occupational health and safety (OHS) indicators (ex.

    • Work-related injuries reported to workers compensation fund in Tanzania from 2016 to 2019

      2021, International Journal of Environmental Research and Public Health
    View all citing articles on Scopus
    View full text