Skip directly to search Skip directly to A to Z list Skip directly to page options Skip directly to site content

NIOSHTIC-2 Publications Search

Search Results

Economic cost model: transferring innovative technology to the states.

Hartley-D; Biddle-E; Starkey-S; Fabrega-V; Richardson-S
NOIRS 2003-Abstracts of the National Occupational Injury Research Symposium 2003, October 28-30, Pittsburgh, Pennsylvania. Pittsburgh, PA: National Institute for Occupational Safety and Health, 2003 Oct; :15
During 1992-1999 nearly 50,000 occupational fatalities were reported through the Bureau of Labor Statistic's (BLS) Census of Fatal Occupational Injuries (CFOI) surveillance system. A cost model developed at the National Institute for Occupational Safety and Health estimated that the total societal burden for 1992-1999 was nearly $40 billion. This estimate was based on nationwide medical expenses for fatal occupational injury and lost wages due to premature death. Wages used in this model were BLS Current Population Survey national estimates of the median annual earnings by occupation. These wage estimates vary substantially by state; the highest being twice that of the lowest. Estimates from this cost model are driven, in large part, by wage data and therefore have similar variability. Cost estimates using national wages were compared to estimates generated from state wages to determine the effect on the estimates of overall societal burden of occupational injury. During the period studied, there were 3,959 fatal occupational injuries in Texas. Truck drivers had the largest number of fatalities (587). Texas cost estimates were 10-11 % lower than national estimates for the same occupation. For example, the Texas mean estimate for 47 year old white male truck drivers was $739,000 compared to $826,000, the national mean estimate for this same group. Estimates for 28 year old white male truck drivers in 1994 varied from $849,000 to $943,000. This pilot shows substantial differences in cost estimates generated using state data versus estimates using, national data. CFOI states can adopt this technology as a tool for use with frequencies and rates for targeting prevention of worker fatalities. Additionally, using state-specific wage data in the national model will improve the accuracy of societal cost estimates for fatal occupational injury.
Models; Traumatic-injuries; Occupational-hazards; Medical-care; Mathematical-models; Injuries; Mortality-data; Demographic-characteristics; Age-factors
Publication Date
Document Type
Abstract; Conference/Symposia Proceedings
Fiscal Year
NTIS Accession No.
NTIS Price
NIOSH Division
Priority Area
Research Tools and Approaches: Social and Economic Consequences
Source Name
NOIRS 2003-Abstracts of the National Occupational Injury Research Symposium 2003, October 28-30, Pittsburgh, Pennsylvania