Is the Societal burden of fatal occupational injury different among NORA industry sectors?
ABSTRACT Since the implementation of the Occupational Safety and Health Act, safety and health in the work environment has seen marked improvement. Although these improvements are laudable, workplace hazards continue to plague the American worker. Understanding the economic burden of fatalities by industry sector is important to setting broad occupational safety and health research priorities. Cost estimates provide additional information about how fatal injuries affect society and hence can improve injury prevention program planning, policy analysis, evaluation, and advocacy.
This study estimated the total, mean, and median societal costs by worker and case characteristic in 2003-2006 for the industry sectors identified in the National Institute for Occupational Safety and Health National Occupational Research Agenda (NORA). Analyses were conducted with restricted access to the Bureau of Labor Statistics Census of Fatal Occupational Injuries data. These data exclude military personnel, decedents with unknown age or sex, and fatalities occurring in New York City. Societal costs were estimated using the cost-of-illness approach, which combines direct and indirect costs to yield an overall cost of an fatal occupational injury.
During this period, the cost of the 22,197 fatal occupational injuries exceeded $21 billion. The mean and median costs of these fatalities were $960,000 and $944,000 respectively. Total societal costs by NORA sector ranged from a high of $5.8 billion in Services to a low of $530 million in Healthcare and Social Assistance with mean costs ranging from the nearly $800,000 in Agriculture, Forestry, and Fishing to almost $1.1 million in Mining.
The societal costs-total, mean, and median costs-of case and worker characteristics for occupational fatal injuries varied within each NORA sector.
To have the greatest societal impact, these costs can be used to target resources for public and private sector research by industry.
SourceAvailable from: Julián Alfredo Fernández-Niño[Show abstract] [Hide abstract]
ABSTRACT: To identify the factors associated with fatal occupational injuries in Mexico in 2012 among workers affiliated with the Mexican Social Security Institute. Analysis of secondary data using information from the National Occupational Risk Information System, with the consequence of the occupational injury (fatal versus non-fatal) as the response variable. The analysis included 406,222 non-fatal and 1,140 fatal injuries from 2012. The factors associated with the lethality of the injury were identified using a logistic regression model with the Firth approach. Being male (OR=5.86; CI95%: 4.22-8.14), age (OR=1.04; CI95%: 1.03-1.06), employed in the position for 1 to 10 years (versus less than 1 year) (OR=1.37; CI95%: 1.15-1.63), working as a facilities or machine operator or assembler (OR: 3.28; CI95%: 2.12- 5.07) and being a worker without qualifications (OR=1.96; CI95%: 1.18-3.24) (versus an office worker) were associated with fatality in the event of an injury. Additionally, companies classified as maximum risk (OR=1.90; CI 95%: 1.38-2.62), workplace conditions (OR=7.15; CI95%: 3.63-14.10) and factors related to the work environment (OR=9.18; CI95%:4.36-19.33) were identified as risk factors for fatality in the event of an occupational injury. Fatality in the event of an occupational injury is associated with factors related to sociodemographics (age, sex and occupation), the work environment and workplace conditions. Worker protection policies should be created for groups with a higher risk of fatal occupational injuries in Mexico.PLoS ONE 03/2015; 10(3):e0121490. DOI:10.1371/journal.pone.0121490 · 3.53 Impact Factor
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ABSTRACT: The Services Sector, as defined by the National Occupational Research Agenda (NORA), is comprised of a diverse industry mix and its workers face a variety of occupational exposures and hazards. The objective of this study was to identify high-risk industry groups within the Services Sector for prevention targeting.Journal of Occupational Medicine and Toxicology 12/2014; 9(1):37. DOI:10.1186/s12995-014-0037-2 · 1.23 Impact Factor