The impact of human performance focused safety and health management practices on injury and illness rates: Do size and industry matter?

Yorio, Patrick L.; Wachter, Jan K.

doi:10.1016/j.ssci.2013.08.014

Cited by 38 publications

(33 citation statements)

References 29 publications

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“…For worksites that are small and non-stationary, or where employees work independently or in remote areas, the use of complex guidelines may not be feasible. As noted by Yorio and Wachter [2013], small businesses may not have the resources to develop and implement effective safety measures. Small establishments that are decentralized may also lack the organizational structure to support safe practices.…”

Section: Discussionmentioning

confidence: 99%

Characterizing occupational heat‐related mortality in the United States, 2000–2010: An analysis using the census of fatal occupational injuries database

Gubernot

Anderson

Hunting

2015

American J Industrial Med

183

143

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Background Occupational heat-related mortality is not well studied and risk factors remain largely unknown. This paper describes the epidemiological characteristics of heat-related deaths among workers in the US 2000–2010. Methods Fatality data were obtained at the Bureau of Labor Statistics from the confidential on-site Census of Fatal Occupational Injuries database. Fatality rates and risk ratios with 95% confidence intervals were calculated by year, sex, age group, ethnicity, race, state, and industry. Results Between 2000 and 2010, 359 occupational heat-related deaths were identified in the U.S., for a yearly average fatality rate of 0.22 per 1 million workers. Highest rates were found among Hispanics, men, the agriculture and construction industries, the state of Mississippi, and very small establishments. Conclusions This study provides the first comprehensive national profile of heat-related deaths in the U.S. workplace. Prevention efforts should be directed at small businesses and at industries and individuals with the highest risk.

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Section: Discussionmentioning

confidence: 99%

Characterizing occupational heat‐related mortality in the United States, 2000–2010: An analysis using the census of fatal occupational injuries database

Gubernot

Anderson

Hunting

2015

American J Industrial Med

183

143

View full text Add to dashboard Cite

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“…Several researchers (Micheli and Cagno, 2010;Yorio and Wachter, 2014) consider that the size of the enterprise (in terms of either the number of employees or business turnover) is relevant as a predictor of occupational accidents. In particular, it is often considered that the specific characteristics of micro-enterprises and small and medium-sized enterprises (SMEs) induce a higher incidence of occupational accidents (Hasle et al, 2012;Sørensen, Hasle and Bach, 2007).…”

Section: Size Of the Work Unitmentioning

confidence: 99%

Towards better prevention of fatal occupational accidents in Portugal

Santos

Rebelo

Mendes

2018

International Labour Review

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Portugal, with a relatively high fatality rate for occupational accidents, faces the challenge of reducing fatalities with limited funding. This research identifies significant predictors in Portugal and estimates probabilities of occurrence. The model, based on applied logistic regression, suggests that policy‐makers should focus prevention efforts on older workers; persons with permanent contracts; those employed by large enterprises or at workplaces in the trade or services sectors; and those exposed to deviations by overflow, overturn, leak, flow, vaporization or emissions that are likely to cause musculoskeletal disorders, wounds, fractures or traumatic amputations.

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“…Many studies have used descriptive statistical methods and regression analysis for classification of occupational injuries and extracting information for the improvement of occupational safety in various fields. Various studies applied descriptive statistical analysis to describe occupational injury distributions based on injured workers' demographics and workplace conditions to identify high-risk industries and occupations [8,[11][12][13][14][15][16][17]. Douphrate et al [18] applied descriptive statistics methods to identify and describe tractor-related injuries, assess medical and indemnity costs associated with tractor-related injuries, and to determine contributing factors associated with those injuries.…”

Section: Introductionmentioning

confidence: 99%

Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

2019

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Agribusiness industries are among the most hazardous workplaces for non-fatal occupational injuries. The term “post-incident state” 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’ 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’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.

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The impact of human performance focused safety and health management practices on injury and illness rates: Do size and industry matter?

Cited by 38 publications

References 29 publications

Characterizing occupational heat‐related mortality in the United States, 2000–2010: An analysis using the census of fatal occupational injuries database

Characterizing occupational heat‐related mortality in the United States, 2000–2010: An analysis using the census of fatal occupational injuries database

Towards better prevention of fatal occupational accidents in Portugal

Use of Logistic Regression to Identify Factors Influencing the Post-Incident State of Occupational Injuries in Agribusiness Operations

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