Work-related deaths in Washington State, 1998–2002

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Abstract

Introduction

In Washington State, 87 workers are killed each year, on average, while in work status. To understand these incidents and to assist in focusing on and development of potential prevention measures, they must be well characterized.

Methods

Work-related fatalities between the years 1998 and 2002 are described by the demographics of the victims, types of incidents, the victims' occupations, and industries and location in which they worked.

Results

Motor vehicle- and machinery-related incidents accounted for nearly 33% and 14% of the incidents, respectively. Agriculture, forestry, fishing, hunting, and mining (n = 87), and construction (n = 83) had the most fatalities. Fatality rates per 100,000 workers for these industries were 25.7 and 8.7, respectively, compared to the state-wide average of 3.1 fatalities/100,000 workers.

Discussion

These data indicate numerous areas for prevention of work-related traumatic injuries and fatalities.

Introduction

In 2002, an average of 15 U.S. workers died each day due to traumatic injuries related to their work (United States Bureau of Labor Statistics [USBLS], 2003a). For the same year in Washington State, on average, one worker died every 5 days (Washington State Census of Fatal Occupational Injuries [WA CFOI], 2003). When these values are compared to the 215 logging fatalities in Washington in 1923 (Prouty, 1985), the situation seems greatly improved, but most if not all of the work-related deaths in 2002 could have been prevented.

Nationwide, in 2002, 5,524 workers died from work–related injuries (USBLS, 2003a). Twenty percent of those workers were in construction, 16% in transportation and public utilities, and 14% in agriculture, forestry and fishing. Forty-three percent of the deaths were due to transportation incidents, 16% due to contact with objects or equipment, and 15% due to assaults and violent acts. Truck drivers, farming and sales occupations, and construction laborers accounted for 35% of these fatalities. Each industry, incident type, and occupation had different situations leading up to the incidents. The better we understand the specifics and generalities, the better we can prevent future incidents from occurring.

A number of studies have looked more closely at fatality patterns in some of these industries and occupations. Different incident types and hazards have also been studied in a variety of countries and regions in the United States. Fatalities in logging (Paulozzi, 1987, Marshall et al., 1994), construction (Buskin and Paulozzi, 1987, Pollack et al., 1996), fishing (Thomas, Lincoln, Husberg, & Conway, 2001), agriculture (Conroy and Sciortino, 1997, Myers and Hard, 1995), electric utilities (Loomis, Dufort, Kleckner, & Savitz, 1999), manufacturing, (Jeong, 1999), and retail (Peek-Asa, Erickson, & Kraus, 1999) are described in the literature.

Fatality rates have been found to vary greatly by industry and occupation in various locations. Table 1 summarizes the fatality rates for select industries and occupations. These rates vary from 430 deaths/100,000 workers for pilots in Alaska to 3 deaths/100,000 retail workers in the United States.

Victim demographics have been studied to help determine if various sub-populations have elevated risks and exposures to hazards. The three most commonly studied factors are age (young and old; Agnew and Suruda, 1993, Suruda et al., 2003, Windau et al., 1999), sex (Ore, 1998, Jenkins, 1994), and race (Loomis & Richardson, 1998). It should be noted that these factors may not be causative or protective factors, but may be acting as surrogates for the types of jobs these individuals perform.

Surveillance for workplace fatalities has been conducted in the United States in select industry sectors since the early 1900s (National Research Council [NRC], 1987) and in Washington since 1912 (Prouty, 1985). The early surveillance systems did not cover all industry sectors or all workers. Currently in Washington, there are two surveillance systems for work-related fatalities, the WA Census of Fatal Occupational Injuries (CFOI) Program and the WA Fatality Assessment and Control Evaluation (FACE) Program. The CFOI Program has the objective of collecting comprehensive information on fatal occupational injuries (Austin, 1995). The WA FACE Program's goals are for the prevention of work-related fatalities through identification of these incidents and investigation into their root causes with direct dissemination of this information to affected industries and policy makers (Higgins, Casini, Bost, Johnson, & Rautiainen, 2001).

This article describes and characterizes the Washington State FACE Program's surveillance system, characterizes the fatalities in Washington between 1998 and 2002, and describes how the data have driven a number of prevention activities.

Section snippets

Methods

The surveillance system used by the WA FACE Program is multi-sourced and uses active and passive case ascertainment. The following describes the case definition for the FACE Program, major data sources, and how the data are processed and analyzed.

Case definition

A fatal incident is included by the system if the victim was working in Washington or in/on the waters of Washington and died due to a work-related acute trauma incident. The criteria for work-relatedness are derived from the Physician's Handbook on Medical Certification of Death (National Center for Health Statistics [NCHS], 2003). The incident types included are defined by the Internal Classification of Disease 9th revision (ICD9; NCHS, 1979) external causes of injury codes (e-codes), where

Case reporting

Case reports and supplemental information on cases are derived from a number of different reporting sources. Fig. 1 outlines the reporting process for three important sources of incidents: WISHA (Washington State Industrial Safety and Health Act Program), workers' compensation claims, and death certificates. Cases derived from news reports are generally found directly by WA FACE staff.

Data entry and analysis

When a potential case is identified, a paper form is filled out with the information at hand and entered into a Microsoft Access (Microsoft, Redmond, WA) database. As more information is collected on an incident, it is entered into the database. Data are exported to SPSS version 11.5 (Statistical Package for Social Sciences, Chicago, IL) for summary and analysis. Upper and lower confidence limits were calculated for the rates using an assumption that the fatality counts were Poisson

Data sources

Seventy-one percent of our incidents were identified in reports from news agencies (paper or internet-based newspapers, radio, and television) and the WISHA Program (Table 2). The prevalence of the different reporting sources has changed slightly from year to year. For incidents where the worker dies on the same day as the incident (82% of the deaths), the median number of days between the incident and the WA FACE Program being notified is 1.6 days. The average number of days for notification

Discussion

The WA FACE Program gets more than 50% of its case reports from the WISHA and workers compensation programs. Both of these programs are located in the same state agency and building as the FACE Program and there are very strong personal and computer system linkages between the programs as well. This unique setting allows the FACE Program to be notified of cases in a timely manner and gives good access to reporting sources for follow-up questions about the incidents. These close relationships

Conclusions

The ultimate use of an injury surveillance system is for the prevention of the injuries under surveillance. With guidance from the surveillance system, we developed a number of prevention activities, including training sessions and educational materials highlighting specific hazards or fatal incidents. Some of these activities have been focused on logging, log truck driving, drowning in agriculture, the construction industry in general, and construction work zones. Some of these activities have

Acknowledgments

The surveillance system, analyses, and prevention activities described in this manuscript have been jointly funded by the Washington State Department of Labor and Industries and the National Institute for Occupational Safety and Health cooperative agreement number CCU013928–07. The author would like to thank Nayak Polliser of Mountain WhisperLight for his input on the confidence limit calculations.

Marty A. Cohen was the Industrial Hygiene Research Manager at the SHARP Program at the Washington State Department of Labor and Industries when this work was conducted. At that time, he was the principal investigator for the Washington State Fatality Assessment and Control Evaluation (FACE) Program. He is currently a Research Scientist at the University of Washington. He received his S.M. and Sc.D. from the Harvard School of Public Health in Environmental Health Sciences.

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    Marty A. Cohen was the Industrial Hygiene Research Manager at the SHARP Program at the Washington State Department of Labor and Industries when this work was conducted. At that time, he was the principal investigator for the Washington State Fatality Assessment and Control Evaluation (FACE) Program. He is currently a Research Scientist at the University of Washington. He received his S.M. and Sc.D. from the Harvard School of Public Health in Environmental Health Sciences.

    Randy Clark is the Data Manager for the Washington State Fatality Assessment and Control Evaluation (FACE) Program and a Research Analyst for the SHARP Program within the Washington State Department of Labor and Industries. He received his BA degree in Journalism from the Evergreen State College.

    Barbara Silverstein is the Research Director of the Washington State Department of Labor and Industries' SHARP Program. She received her MS degree in nursing from the University of California San Francisco, her MPH in Epidemiology and Environmental and Industrial Health from the University of Michigan, and her Ph.D. in Epidemiologic Science from the University of Michigan. She has worked on ergonomics-related issues at OSHA, the University of Michigan Center for Ergonomics, the Finnish Institute of Occupational Health, and the California Department of Health Services. Her major areas of research have been identification and control of work-related musculoskeletal disorders, comparison of surveillance methods and intervention studies to control these disorders. She serves on a number of national and international commissions and editorial boards regarding occupational safety and health.

    Tom Sjostrom is a Safety Engineer in the Washington State Department of Labor and Industries' SHARP Program. Tom is a graduate of Mitchell College, New London, CT in General Science and Engineering and has a BS in Occupational Safety and in Industrial Hygiene from the University of New Haven, CT. Tom also attended the University of New Haven Graduate School for an MS in Environmental Engineering/Environmental Science. Tom worked as a Research Scientist with a Pharmaceutical company and as a Health and Safety Manager and Safety Director in the Pharmaceutical, Chemical, Forest Products/Pulp and Paper Industries. Tom is a member of the Hazardous Materials Control Research Institute, ASSE, AIHA, NFPA, ASCE. He supports the FACE Program and health and safety research within SHARP.

    Peregrin Spielholz is an Investigator with the Washington State Department of Labor and Industries' SHARP Program. He completed his BSE and MSE at the University of Michigan and his PhD at the University of Washington. His areas of focus are accident investigation, safety engineering, human-centered design and the assessment of workplace risk factors and interventions. Peregrin is a Certified Professional Ergonomist (CPE) and a Certified Safety Professional (CSP). He has worked with companies and organizations across the country in most industry sectors. He has published extensively in ergonomics and occupational safety and health. Peregrin is the Principal Investigator for the NIOSH-funded Fatality Assessment and Control Evaluation (FACE) Program in Washington State and an Affiliate Assistant Professor at the University of Washington's Department of Environmental and Occupational Health Sciences.

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