Dr Hope M. Tiesman is a Research Epidemiologist with the National Institute for Occupational Safety and Health (NIOSH). Dr Tiesman completed her MSPH in Epidemiology from the University of South Florida and her PhD in Epidemiology from the University of Iowa. While at Iowa, she was a Fellow in the occupational injury prevention research program at the Heartland Center for Occupational Health & Safety. She has an Adjunct Academic appointment in the West Virginia University (WVU) College of Public Health and is an Affiliate Faculty at the WVU Injury Control Research Center. At NIOSH, her research focusses on motor-vehicle crashes among law enforcement officers, workplace suicide, and workplace violence prevention.
Dr Rebecca J. Heick is an Assistant Professor of Public Health at MCPHS University, Boston, MA. She completed her MS in Community Health Education at Western Illinois University, Macomb, IL and her doctorate in Occupational & Environmental Health at the University of Iowa College of Public Health, Iowa City, IA. Her work focuses primarily on occupational injury epidemiology and prevention. Current areas of interest include psychological health and occupational safety for first responders and health-related surveillance during disasters for responders and impacted populations.
Dr Srinivas Konda is an Associate Service Fellow with the National Institute for Occupational Safety and Health in Morgantown, WV. He completed his MPH in Epidemiology and Biostatistics from the University of Southern Mississippi, Hattiesburg, MS. His work focusses on projects related to the prevention of workplace injury and violence. Current areas of research include occupational traumatic brain injuries, injuries to emergency medical service workers, and occupational safety of law enforcement officers.
Dr Scott Hendricks is a Statistician employed by the NIOSH. He received his MS in statistics degree from the West Virginia University. Dr Hendricks has published numerous articles in the topic area of occupational injury and fatality.
Motor-vehicle-related events (MVEs) are the leading cause of on-duty death for law enforcement officers, yet little is known about how officers view this significant job hazard. The purpose of this paper is to explore officers’ motor-vehicle risk perception and examine how prior on-duty MVEs and the death or injury of a fellow officer influences this perception.
A state-wide random sample of 136 law enforcement agencies was drawn using publically accessible databases, stratified on type and size of agency. In total, 60 agencies agreed to participate and a cross-sectional questionnaire was distributed to 1,466 officers. Using six-point Likert scales, composite scores for motor-vehicle and intentional violence risk perception were derived. A linear regression multivariable model was used to examine factors affecting motor-vehicle risk perception.
Motor-vehicle risk perception scores were significantly higher than intentional violence scores. A prior on-duty motor-vehicle crash, prior roadside incident, or knowledge of fellow officer’s injury or death from a MVE significantly increased motor-vehicle risk perception scores. After controlling for potential confounders though, only prior on-duty crashes and roadside incidents impacted motor-vehicle risk perception.
The study comprised primarily small, rural agencies and generalizability may be limited. Also, although the data were collected anonymously, reporting and response biases may affect these findings.
This study involved a large and diverse cohort of officers and explored motor-vehicle risk perception. A better understanding of officers’ risk perceptions will assist in the development and implementation of occupational injury prevention programs, training, and policy.
In the USA in 2012, 4,383 workers died while on the job (
In 2012, according to the Bureau of Labor Statistics (BLS), 119 law enforcement officers (LEOs) died while on the job (
Across all occupations and industries, motor-vehicle-related events (MVEs) are consistently the leading cause of work-related death in the USA In 2012, MVEs accounted for 35 percent of all occupational injury fatalities in the USA (
Risk perception has been defined as acknowledgement of the probability of incurring harm (
This special edition journal focusses on traffic and motor-vehicle safety among LEOs and fills a significant gap in the literature dealing with on-duty MVEs. The purpose of this paper is to explore LEO’s perception of risk of on-duty MVEs and identify factors that influence this risk including prior MVEs as well as knowledge of fellow officers’ motor-vehicle-related injury or death using data gathered from a large state-based study. We also compare an officers’ motor-vehicle risk perception to their risk perception of acts of intentional violence such as being assaulted or being shot on the job.
A cross-sectional design utilizing a stratified random sample was employed for this study. Data were collected via paper-and-pencil questionnaire. The questionnaire and research study were approved by the NIOSH Human Subjects Research Board and the US Government Office of Management and Budget. This project was funded by the National Institute for Occupational Safety and Health.
The study sample was developed in 2010 using publically accessible online resources to identify existing Iowa law enforcement agencies. A list of approximately 400 Iowa law enforcement agencies was compiled and stratified by type of agency (municipal, sheriff, state patrol) and size (small = 20 or fewer officers, medium = 21-50 officers, large = 51 or more officers). A total of 161 agencies were randomly selected for participation including 103 municipal agencies and 58 sheriff’s departments. Although the Iowa State Patrol was not randomly selected, they were included in the study. After removal of 26 sites that were no longer active agencies (two sheriff’s departments and 24 municipal agencies), 136 agencies remained. Recruitment activities, including phone calls, mailings of study flyers, and e-mails were directed at agency leadership. Of the 136 agencies invited, 60 agreed to participate for an overall agency response rate of 44 percent. This included 32 municipal agencies, 27 sheriff’s departments, and the Iowa State Patrol and comprised 1,466 sworn officers.
The questionnaire comprised five sections: demographics, occupational characteristics, motor-vehicle safety and operations training, occupational safety practices and perceptions, and prior motor-vehicle crashes and roadside incidents. Sections were derived using existing validated tools when possible. Risk perception questions were independently developed for the study by the authors. The questionnaire was pilot-tested and peer-reviewed prior to use in the field. The questionnaire was distributed between September and December 2011. Questionnaire packets were delivered to agency leadership for distribution to sworn LEOs and included an introduction letter, paper-and-pencil questionnaire, and self-addressed stamped return envelope. Officers used the self-addressed stamped envelope to return completed questionnaires directly to researchers. Questionnaires were coded with a unique alpha-numeric string mapped to each agency, but not to individual officers. These codes were used to monitor survey returns by agency. Four weeks after the distribution of the questionnaires, agency leadership was informed of the number of non-respondents and asked to remind officers to return them. Returning a survey indicated consent to participate in the research study. In total, 79 percent of LEOs (1,157/1,466) returned a questionnaire.
For this study, MVEs encompassed two types of on-duty events: motor-vehicle crashes and roadside incidents. Motor-vehicle crashes included all crashes, whether they were reported to administration or not. A roadside incident was defined as being struck by or nearly struck by a moving vehicle while working outside of a patrol car. Officers were asked to recall all MVEs occurring in the prior three years. Risk perception was assessed using a six-point Likert-type scale (1 = very unlikely to 6 = very likely) where respondents were asked to estimate the likelihood of being seriously injured or killed on the job related to four hypothetical situations: gunshot wound, assault, motor-vehicle crash, and roadside incident. Single-item stress-level questions have been shown to be reliable, valid, and accurate (
A principal component analysis using SAS PROC PRINCOMP was performed to identify the underlying structure of the risk perception variables. The first principal component accounted for 69 percent of the variance between the four variables (eigenvalue = 2.79). The second principal component accounted for 17 percent of the variation (eigenvalue = 0.638). Based on this second principal component, we decided to group the four risk perception variables into two composite scores: motor-vehicle risk perception score (motor-vehicle crash risk + roadside incident risk) and intentional violence risk perception score (gunshot risk + assault risk). Together, these two factors explain 86 percent of the variation within the four variables which is nearly the maximum desired explained variance of 90 percent (
Data analyses were conducted using SAS V9.2. Descriptive statistics including counts, proportions, averages, and standard deviations were used to describe the study sample. Mean risk perception scores for each unique situation (assault, gunshot, motor-vehicle crash, and roadside incident) were calculated. Average motor-vehicle and intentional violence risk perception composite scores were then calculated and compared across the two primary risk factors: knowledge of a fellow officer’s death or injury and prior on-duty MVEs. First, mean composite risk perception scores were compared across officers who knew a fellow officer to be injured or killed in the last 12 months due to intentional violence (assault or shot), MVE (motor-vehicle crash or roadside incident), multiple causes, and no serious injury or fatality, with one-way analysis of variance.
Multivariate linear regression models were run to identify the effect of prior on-duty MVEs and knowledge of a fellow officer’s motor-vehicle-related death or injury on motor-vehicle risk perception scores, while controlling for potential confounders. Socio-demographic variables including race, ethnicity, age, gender, education, and relationship status were examined as potential confounders. Occupational variables including size of agency, type of agency, years of law enforcement experience, rank, division, shift, hours worked, hours of weekly driving, presence of agency-wide motor-vehicle policy, and yearly number of hours spent on motor-vehicle training were also examined. These variables were further included into models when
Officers were asked about the likelihood of serious injury or death due to four occupational situations: assault, gunshot wound, motor-vehicle crash, and roadside incident (
Officers were asked to categorize their perceived level of danger for several types of job tasks using a four-point Likert scale ranging from “not at all dangerous” to “very dangerous” (
Multivariable linear regression models were used to predict association with a higher motor-vehicle risk perception score, while controlling for potential confounders (
Our findings indicate that LEOs were aware of the likelihood of injury and death associated with on-duty MVEs. Officers’ motor-vehicle risk perception scores were significantly higher than intentional violence risk perception scores. However, this perception of risk did not extend to officers’ view of the danger of specific job activities. Officers deemed the most hazardous job tasks to be those that involved a risk for intentional injury, such as responding to calls of potential violence. Another main finding from our study was that personal experience with on-duty MVEs significantly impacted officers’ perception of motor-vehicle risk.
With the exception of 2011, MVEs have been the leading cause of on-duty death among LEOs for the prior 16 years (
While officers had significantly higher motor-vehicle risk perception scores compared to intentional violence risk perception scores, officers still deemed the most hazardous job tasks to be those involving the potential for assault. In fact, literature supports that these calls can be very dangerous for LEOs (
Another possible explanation of this finding is the association between perceived risk and perceived control. Studies have demonstrated that when workers perceive they have control over tasks, they generally perceive less risk for those tasks (
We found that prior on-duty MVEs significantly increased officers’ perception of motor-vehicle risk. Research has demonstrated that an individual’s experience with workplace injuries helps to shape their perception of risk and in turn, response to specific workplace hazards (
Knowledge of a motor-vehicle-related death or injury of a fellow officer was also associated with significantly higher motor-vehicle risk perception scores. Such knowledge also increased intentional violence risk perception scores, although not significantly. It may be that knowledge of a motor-vehicle death or injury affects overall perception of risk among officers. While this finding did not reach statistical significance, it may suggest a possible intervention for agencies. Prior research has found that the use of personal stories has a strong influence on workers (
In the multivariate analysis, while motor-vehicle crashes in the previous three years had the greatest impact on motor-vehicle risk perception, prior roadside incidents were also an important predictor of motor-vehicle risk perception. While officers are trained on a variety of roadway procedures including parking a vehicle offset and using passenger-side approaches, these cannot fully prevent officers from being struck by moving vehicles. Civilian drivers must also be educated on safe roadway procedures. The Move Over America public health campaign is intended to increase public awareness of move over laws which require motorists to move into another lane of traffic when an emergency vehicle or responder is on the side of the road (
While officers may feel that the prevention of roadside incidents is largely outside of their control, there are several strategies that could significantly reduce officer’s chances of being struck and killed while on the roadway. High-visibility personal protective equipment, such as reflective vests, and the use of flares and cones, alert motorists to crash scenes. The code of federal regulations states that all workers within the right-of-way of a federal-aid highway who are exposed to traffic shall wear high-visibility safety apparel (
This study was not without limitations. First, the study was conducted in the state of Iowa and consisted of mostly small and rural law enforcement agencies. It is unknown if these findings are applicable to agencies in larger or more urban locations. Second, since the study was cross-sectional in nature, the results represent associations only and determining causation is not possible. Third, standardized and validated tools were not used to measure the construct of risk perception. Fourth, the recall period used in this study was three years. When deciding on an appropriate recall period to be used in survey research, the trade-off between minimizing recall bias and maximizing rate estimates must be balanced. Here, we used a longer recall period to calculate LEOs’ prior history of on-duty MVEs to improve capture of low-frequency events. However, by doing so we could have increased the likelihood of recall bias (
We found that officers were aware of the likelihood of occupational injury and death associated with on-duty MVEs and this awareness may be due to the recent cultural change in law enforcement toward an emphasis on the prevention of on-duty MVEs. We also found that officers who had been involved in a prior on-duty MVE had higher motor-vehicle risk perception scores. There is little research on the occupational risk perception from a LEO standpoint, or even the risk perception of occupational motor-vehicle crashes with which to compare our results to. Knowledge of how an officer perceives specific job hazards and situations would be useful when developing and implementing evidence-based programs in the workplace. The adoption of protective behaviors and equipment is very much dependent on the workers’ perception of specific hazards (
Much more information is needed on the causes, trends, and risk factors for officers’ on-duty motor-vehicle crashes and roadside incidents, especially on a national scale. At the agency level, such data can be obtained from workers’ compensation reports, motor vehicle crash reports, and on-site investigative reports. These quantitative data can be pivotal in furthering our understanding of on-duty MVEs and in the development of comprehensive evidence-based prevention programs. The use of qualitative research methods may also be beneficial in gaining greater insight into both officers’ and leaderships’ perceptions and experiences related to MVEs, allowing for more clear understanding of how and why these events occur, how officers are impacted by them, and how best to reduce the number and severity of these events. Finally, as agencies implement new training programs, standard operating procedures, and policy in an effort to reduce on-duty MVEs, these changes should be evaluated to determine their effectiveness.
This project was funded by the National Institute for Occupational Safety and Health.
The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the National Institute for Occupational Safety and Health.
Socio-demographic and occupational characteristics of study participants
| Characteristic | |
|---|---|
|
| |
| 21-24 | 25 (2%) |
| 25-29 | 147 (13%) |
| 30-34 | 190 (16%) |
| 35-39 | 186 (16%) |
| 40-44 | 214 (18%) |
| 45-49 | 160 (14%) |
| 50-59 | 189 (17%) |
| 60+ | 22 (2%) |
|
| |
| Female | 78 (7%) |
| Male | 1,062 (93%) |
|
| |
| White | 1,093 (94%) |
| Non-white | 29 (2%) |
|
| |
| In a committed relationship | 1,013 (88%) |
| Not in a committed relationship | 117 (10%) |
|
| |
| High school diploma/GED/some college | 346 (30%) |
| Technical/Vocational Cert./Associate’s degree | 333 (29%) |
| Bachelors or greater | 461 (40%) |
|
| |
| Officer/Officer First Class/Specialist/Trooper/Reserve | 749 (64%) |
| Sergeant/Lieutenant/Corporal | 226 (19%) |
| Major/Captain/Chief/Sheriff/Assistant Chief | 93 (8%) |
| Other | 86 (7%) |
|
| |
| Less than 5 | 158 (13%) |
| 5-9 | 203 (17%) |
| 10-14 | 222 (19%) |
| 15-19 | 194 (16%) |
| 20+ | 359 (31%) |
|
| |
| Sheriff | 479 (41%) |
| State Patrol | 196 (17%) |
| Municipal | 449 (38%) |
| Total | 1,157 |
Perception of occupational injury and fatality risk by type of event
| Very likely | Likely | Somewhat | Somewhat | Unlikely | Very unlikely | Mean score | Mean composite | |
|---|---|---|---|---|---|---|---|---|
| Assaulted | 68 (6) | 333 (30) | 198 (18) | 204 (18) | 254 (23) | 70 (6) | 3.52 | 6.70 |
| Being shot | 20 (2) | 238 (21) | 147 (13) | 208 (19) | 417 (37) | 93 (8) | 3.17 | |
| Motor-vehicle | 136 (12) | 362 (32) | 246 (22) | 114 (10) | 226 (20) | 39 (3) | 3.95 | 7.94 |
| Roadside | 147 (13) | 303 (27) | 289 (26) | 111 (10) | 233 (21) | 45 (4) | 3.99 |
Effect of a fellow officers’ occupational injury or death on risk perception scores
| Fellow officers’ occupational injury or death from | |||||
|---|---|---|---|---|---|
| Intentional violence | Motor-vehicle event | Multiple causes | No officer death or | ||
| Perception of | 7.59 (0.37, 2.27) | 8.31 (0.16, 2.61) | 8.11 (0.16, 2.73) | 7.90 (0.08, 2.32) | 0.0197 |
| Perception of | 6.65 (0.32, 2.50) | 6.67 (0.14, 2.27) | 6.67 (0.13, 2.31) | 6.74 (0.08, 2.20) | 0.91 |
Effect of prior on-duty motor-vehicle crash or roadside incident on risk perception
| MVC prior 3 | No MVC in prior | Roadside | No roadside | |||
|---|---|---|---|---|---|---|
| Perception of | 8.49 (0.16, 2.43) | 7.79 (0.08, 2.42) | 0.0001 | 8.65 (0.18, 2.43) | 7.81 (0.08, 2.42) | <0.0001 |
| Perception of intentional | 6.92 (0.14, 2.13) | 6.63 (0.07, 2.26) | 0.09 | 6.83 (0.17, 2.20) | 6.68 (0.07, 2.24) | 0.39 |
Officers’ perception of specific job hazards
| Not at all | Somewhat | Dangerous | Very | |
|---|---|---|---|---|
|
| ||||
| Driving under emergency | 12 (1) | 222 (20) | 569 (50) | 328 (29) |
| Driving under non-emergency | 294 (26) | 700 (62) | 130 (11) | 8 (1) |
|
| ||||
| Responding to domestic | 6 (1) | 191 (17) | 535 (47) | 397 (35) |
| Responding to other scenes of | 7 (1) | 148 (13) | 563 (50) | 411 (36) |
|
| ||||
| Working crash scenes on | 13 (1) | 240 (21) | 566 (50) | 310 (27) |
| Making traffic stops on | 14 (1) | 329 (29) | 568 (50) | 219 (19) |
Multivariable analyses of motor-vehicle crash risk perception
| Parameter estimates | ||
|---|---|---|
|
| ||
| Yes | −0.484 | 0.011 |
| No | ||
|
| ||
| Yes | −0.457 | 0.028 |
| No | ||
|
| ||
| Yes | 0.233 | 0.36 |
| No | ||
Adjusted for education, size of agency, type of agency, years of law enforcement experience, and driving hours per week