Introduction: The present study examined whether college students could be categorized into distinct subgroups that differed in their distracted driving and walking frequencies. Method: A sample of 277 college students participated in this study. They completed an online survey measuring their frequencies of distracted driving and walking, trait impulsivity (relatively stable characteristics of individuals to act spontaneously without considering the potential consequences), and behavioral impulsivity (process-oriented construct reflecting impulsive decision-making). Using hierarchical cluster analysis with component scores derived from a principal component analysis for distracted driving and walking frequencies, the following four subgroups were identified and named based on relative differences in frequencies: (a) the Low-Distraction subgroup, (b) the Distracted-Walking subgroup, (c) the Distracted-Driving subgroup, and (d) the High-Distraction subgroup. These subgroups were then compared to the extent to which they differed in levels of trait and behavioral impulsivity. Results: The results of the multinomial regression analyses, including cell phone use as a covariate, revealed that the differences between the Low-Distraction subgroup and other subgroups were significantly predicted by increased attentional impulsivity for other subgroups. Additionally, the difference between the Distracted-Walking and HighDistraction subgroups was significantly predicted by increased motor impulsivity for the High-Distraction subgroup. Implications for new intervention strategies targeting these impulsivity processes are discussed in relation to existing intervention strategies.

BackgroundAccreditation Council for Graduate Medical Education (ACGME) work-hour restrictions (WHRs) are intended to improve patient safety by reducing resident fatigue. Compliance with ACGME WHRs is not universal.PurposeThe purpose of this study was to identify factors that influence residents' decisions to take a postcall day (PCD) off according to ACGME WHRs.MethodsResidents (N = 433) at one university were emailed a link to a survey in 2019. The survey included demographic details and a Discrete Choice Experiment examining influences on resident decisions to take a PCD off.ResultsOne hundred seventy-five residents (40.4%) responded to the survey; 113 residents (26%) completed the survey. Positive feedback from attending physicians about taking PCDs off in the past had the greatest impact on respondents' decisions to take a PCD off, increasing the probability by 27.3%, followed by chief resident comments about the resident looking tired (16.6% increase), and having never heard their attendings comment about PCDs off as either positive or negative (13.9% increase). Factors that had the largest effect on decreasing the probability of taking a PCD were negative feedback about taking PCDs off (14.3% decrease), continuity of care concerns (10.8% decrease), and whether the resident was looking forward to an assignment (7.9% decrease).ConclusionsThe most important influencer of residents' decisions to take a PCD off was related to feedback from their attending physicians, suggesting that compliance with WHRs can be improved by focusing on the residency program's safety culture.

The use of data analytics has seen widespread application in fields such as medicine and supply chain management, but their application in occupational safety has only recently become more common. The purpose of this scoping review was to summarize studies that employed analytics within establishments to reveal insights about work-related injuries or fatalities. Over 300 articles were reviewed to survey the objectives, scope and methods used in this emerging field. We conclude that the promise of analytics for providing actionable insights to address occupational safety concerns is still in its infancy. Our review shows that most articles were focused on method development and validation, including studies that tested novel methods or compared the utility of multiple methods. Many of the studies cited various challenges in overcoming barriers caused by inadequate or inefficient technical infrastructures and unsupportive data cultures that threaten the accuracy and quality of insights revealed by the analytics.

INTRODUCTION:The present study attempted to provide a proof-of-concept of usefulness of cluster analysis for identifying distinct and practically meaningful subgroups of drivers who differed in their perceived risk and frequency of texting while driving (TWD).METHOD:Using a hierarchical cluster analysis, which involves sequential steps in which individual cases are merged together one at a time based on their similarities, the study first attempted to identify distinct subgroups of drivers who differed in their perceived risk and frequency of TWD. To further evaluate the meaningfulness of the subgroups identified, the subgroups were compared in terms of levels of trait impulsivity and impulsive decision making for each gender.RESULTS:The study identified the following three distinct subgroups: (a) drivers who perceive TWD as risky but frequently engage in TWD; (b) drivers who perceive TWD as risky and infrequently engage in TWD; and (c) drivers who perceive TWD as not so risky and frequently engage in TWD. The subgroup of male, but not female, drivers who perceive TWD as risky but frequently engage in TWD showed significantly higher levels of trait impulsivity, but not impulsive decision making, than the other two subgroups.DISCUSSION:This is the first demonstration that drivers who frequently engage in TWD can be categorized into two distinct subgroups that differ in terms of the perceived risk of TWD.PRACTICAL APPLICATIONS:For drivers who perceived TWD as risky yet frequently engage in TWD, the present study suggests that different intervention strategies may be needed for each gender.

In occupational safety and health, big data and analytics show promise for the prediction and prevention of workplace injuries. Advances in computing power and analytical methods have allowed companies to reveal insights from the “big” data that previously would have gone undetected. Despite the promise, occupational safety has lagged behind other industries, such as supply chain management and healthcare, in terms of exploiting the potential of analytics and much of the data collected by organizations goes unanalyzed. The purpose of the present paper is to argue for the broader application of establishment-level safety analytics. This is accomplished by defining the terms, describing previous research, outlining the necessary components required, and describing knowledge gaps and future directions. The knowledge gaps and future directions for research in establishment-level analytics are categorized into readiness for analytics, analytics methods, technology integration, data culture, and impact of analytics.

Introduction: The Accreditation Council for Graduate Medical Education (ACGME), which sets the standards for residency training, instituted work-hour restrictions in 2003. Our purpose was to assess residents’ perceptions of fatigue and local safety climate specific to these duty-hour restrictions. Methods: All residents (N=433) at one university were emailed a link to a survey in 2019. The survey included demographic details, on-call descriptors, an 18-point climate survey (CS), and the 33-point Chalder Fatigue Questionnaire (CFQ). The CS was adapted from a commonly used safety climate scale and intended to measure the respondent’s perceptions of their program’s attitudes and practices around resident duty-hour compliance. A Pearson correlational analysis was used to determine if there were associations between the variables. Results: Mean CS score was 12.89 (95% confidence interval, CI 12.32-13.46, N=164, 48.5%). Respondents were most likely to disagree with “Residents are told when they are at risk of working beyond ACGME duty-hour restrictions,” where 57 (34.7%) disagreed or strongly disagreed. Mean CFQ score was 16.02 (95% CI 14.87-17.17, N=113, 26.1%). As the CS score improved, CFQ scores decreased indicating an inverse relationship between duty-hour climate and fatigue (r=-0.328, p<0.05). Having a protected post-call day off, and having either the Program Director, Chief Resident, or Senior Resident decide that a resident takes a post-call day off were all associated with higher CS scores. Conclusion: We found that the CS had good internal consistency and evidence of construct validity. An inverse relationship between CS score and fatigue suggests that the level of fatigue is higher among residents in programs where residents perceived that ACGME duty-hour compliance was less important.

In this paper, we introduce discrete choice experiments (DCEs) and provide foundational knowledge on the topic. DCEs are one of the most popular methods within econometrics to study the distribution of choices within a population. DCEs are particularly useful when studying the effects of categorical variables on choice. Procedurally, a DCE involves recruiting a large sample of individuals exposed to a set of choice arrays. The factors that are suspected to affect choice are varied systematically across the choice arrays. Most commonly, DCE data are analyzed with a multinomial logit statistical model with a goal of determining the relative utility of each relevant factor. We also discuss DCEs in comparison with behavioral choice models, such as those based on the matching law, and we show an example of a DCE to illustrate how a DCE can be used to understand choice with behavioral, social, and organizational factors.

OBJECTIVE:To compare otolaryngology residents' perceptions of safety climate with respect to duty hour compliance and self-perceived fatigue.STUDY DESIGN:Cross-sectional study.SETTING:Forty-one otolaryngology residencies distributed across the United States.METHODS:A national sample of otolaryngology residents was surveyed electronically in 2019. The survey included demographic details, on-call descriptors, an 18-point Safety Climate Survey (SCS) modified to measure perceptions of program attitudes and practices around resident duty hour compliance, and the 33-point Chalder Fatigue Questionnaire (CFQ).RESULTS:Of 397 surveyed residents, 205 (51.6%) responded. The mean modified SCS score was 11.29 out of 18 (95% CI, 10.76-11.81). Respondents were most likely to disagree with "Residents are told when they are at risk of working beyond ACGME [Accreditation Council for Graduate Medical Education] duty hour restrictions," where 100 (48.8%) disagreed or strongly disagreed. The mean CFQ score was 15.99 of 33 (95% CI, 15.17-16.81). As the modified SCS score improved, CFQ scores decreased, indicating an inverse relationship between duty hour safety climate and fatigue. Having a protected postcall day off and having the program director, chief resident, or senior resident decide that a resident should take a postcall day off were all associated with higher modified SCS scores.CONCLUSION:Otolaryngology residents perceived a safety climate that is suboptimal with regard to duty hour restriction issues. Additionally, an inverse relationship between fatigue and modified SCS scores suggests that fatigue among residents may be lower in programs where residents perceive that ACGME duty hour compliance is more important.

Texting while driving is one of the most dangerous types of distracted driving and contributes to a large number of transportation incidents and fatalities each year. Drivers text while driving despite being aware of the risks. Although some factors related to the decision to text while driving have been elucidated, more remains to be investigated in order to better predict and prevent texting while driving. To study decision making involved in reading a text message while driving, we conducted a discrete choice experiment with 345 adult participants recruited from Amazon's Mechanical Turk. Participants were presented with multiple choice sets, each involving two different scenarios, and asked to choose the scenario in which they would be more likely to text while driving. The attributes of the scenarios were the relationship to the text-message sender, the road conditions, and the importance of the message. The attributes varied systematically across the choice sets. Participants were more likely to read a text message while driving if the sender of the message was a significant other, the message was perceived to be very important, and the participant was driving on rural roads. Discrete choice experiments offer a promising approach to studying decision making in drivers and other populations because they allow for an analysis of multiple factors simultaneously and the trade-offs among different choices.

Introduction: The path toward enhancing laboratory safety requires a thorough understanding of the factors that influence the safety-related decision making of laboratory personnel. Method: We developed and administered a web-based survey to assess safety-related decision making of laboratory personnel of a government research organization. The survey included two brief discrete choice experiments (DCEs) that allowed for quantitative analysis of specific factors that potentially influence safety-related decisions and practices associated with two different hypothetical laboratory safety scenarios. One scenario related to reporting a laboratory spill, and the other scenario involved changing protective gloves between laboratory rooms. The survey also included several brief self-report measures of attitude, perception, and behavior related to safety practices. Results: Risk perception was the most influential factor in safety-related decision making in both scenarios. Potential negative consequences and effort associated with reporting an incident and the likelihood an incident was detected by others also affected reporting likelihood. Wearing gloves was also affected somewhat by perceived exposure risk, but not by other social or work-related factors included in the scenarios. Conclusions: The study demonstrated the promise of DCEs in quantifying the relative impact of several factors on safety-related choices of laboratory workers in two hypothetical but realistic scenarios. Participants were faced with hypothetical choice scenarios with realistic features instead of traditional scaling techniques that ask about attitudes and perceptions. The methods are suitable for addressing many occupational safety concerns in which workers face tradeoffs in their safety-related decisions and behavior. Practical Application: Safety-related decisions regarding laboratory practices such as incident reporting and use of PPE were influenced primarily by workers' perceptions of risk of exposure and severity of risks to health and safety. This finding suggests the importance of providing laboratory workers with adequate and effective education and training on the hazards and risks associated with their work. DCEs are a promising research method for better understanding the relative influences of various personal, social, and organizational factors that shape laboratory safety decisions and practices. The information gained from DCEs may lead to more targeted training materials and interventions. (C) 2020 National Safety Council and Elsevier Ltd. All rights reserved.

The primary purpose of the present study was to examine the effectiveness of threat appeals in influencing impulsive decision making associated with texting while driving. The participants in the treatment group were exposed to a threatening message about the danger of texting while driving, whereas those in the control group were exposed to a non-threatening message. Following the exposure to either message, the participants completed a delay-discounting task that assessed the degree of impulsive decision making in a hypothetical texting-while-driving scenario. A comparison between the groups revealed that the threat appeals reduced the degree of impulsive decision making associated with texting while driving. In addition, the threat appeals led to greater anticipated regret from texting while driving, less favorable attitudes toward texting while driving, and decreased intentions to text while driving in the future in the treatment group. These results suggest that video-based threat appeals are promising intervention strategies for the public health challenge of texting while driving. Implications from the behavioral economic perspective are discussed.

The goal of this study was to determine whether cluster analysis could be used to identify distinct subgroups of text message users based on behavioral economic indices of demand for text messaging. Cluster analysis is an analytic technique that attempts to categorize cases based on similarities across selected variables. Participants completed a questionnaire about mobile phone usage and a hypothetical texting demand task in which they indicated their likelihood of paying an extra charge to continue to send text messages. A hierarchical cluster analysis was conducted on behavioral economic indices, such as demand intensity, demand elasticity, breakpoint, and the maximum expenditure. With the cluster analysis, we identified 3 subgroups of text message users. The groups were characterized by (a) high intensity and low elasticity, (b) high intensity and medium elasticity, and (c) low intensity and high elasticity. In a demonstration of convergent validity, there were statistically significant and conceptually meaningful differences across the subgroups in various measures of mobile phone use and text messaging. Cluster analysis is a useful tool for identifying and profiling distinct, practically meaningful groups based on behavioral indices and could provide a framework for targeting interventions more efficiently.

The overarching goal of the present study was to determine whether a behavioral economic framework of demand analysis is applicable to texting while driving. To this end, we developed a novel hypothetical task in which participants receive a text message while driving, and they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination when the fine for texting while driving ranged from $1 to $300. The scenario presented two delays to a destination (15 min and 60 min). For drivers who self-reported a higher frequency of texting while driving the demand for social interaction from texting was more intense and less elastic. Demand was also more intense and less elastic under the 60-min delay condition. The results of this proof-of-concept study suggest that behavioral economic demand analyses are potentially useful for understanding and predicting texting while driving.

Therapy and visitation dogs are becoming more common on college campuses to provide comfort and support to students, but little attention has been given to the concerns of faculty and staff who share space with the dogs in their workplaces. The purpose of this study was to assess the perceptions of faculty and staff with regard to both the benefits and the hazards (e.g., dander, bites, fleas) and risks associated with the presence of visitation dogs in their workplaces. One hundred and thirty-eight employees who worked in buildings with resident visitation dogs completed an online survey about their perceptions of the hazards and risks of the dogs and the effects of dogs on the wellbeing of both students and employees. In general, employees perceived that the dogs presented minimal risks, and most employees believed that they can reduce stress and provide comfort to students on campus. There were a few employees, however, who reported that the dogs did not improve the work environment and conferred no benefits to the staff or students. The findings of the present survey support the mostly positive attitudes that people have for dogs in the workplace, but they also highlight a potential challenge: accommodating individuals who believe very strongly that dogs do not belong in work environments.

A sample of 109 college students completed a survey to assess how frequently they send or read text messages while driving. In a novel discounting task with a hypothetical scenario in which participants receive a text message while driving, they rated the likelihood of replying to a text message immediately versus waiting to reply until arriving at a destination. The scenario presented several delays to a destination and probabilities of a motor vehicle crash. The likelihood of waiting to reply decreased as a function of both the delay until the destination and the probability of a motor vehicle crash. Self-reported higher frequencies of texting while driving were associated with greater rates of both delay and probability discounting. The degree of delay discounting was altered as a function of the probability of a motor vehicle crash and vice versa. These results suggest that both delay and probability discounting are important underlying mechanisms of drivers' decision to text while driving.

The purpose of the present study was to investigate the behavioral and cognitive processes underlying dangerous driving behaviors. We used a survey to assess levels of executive function in college students. The sample consisted of 59 males and 77 females and their age ranged from 18 to 24. We stratified the students into two groups based on executive function scores and compared the extent to which each group engaged in four dangerous driving behaviors (texting while driving, driving without a seat belt, driving while intoxicated, and speeding) as well as how often they experienced three negative driving outcomes (crashes, pulled over, and ticketed). We also investigated how these driving behaviors and outcomes are correlated with subcategories of executive function. The results show that students with a low level of executive function were more likely to engage in dangerous driving behaviors and more likely to experience negative driving outcomes. The results also show that texting while driving, driving while intoxicated, and speeding were most strongly correlated with the executive function subcategory of Impulse Control, whereas driving without a seat belt was most strongly correlated with the executive function subcategory of Strategic Planning. These results suggest that different behavioral or cognitive processes are involved in different dangerous driving behaviors and different interventions may be needed to target each underlying process.

Pet dogs, therapy dogs, and service dogs can be seen in workplaces with increasing frequency. Although dogs may provide many benefits to employees and employers, their presence may introduce additional hazards and concerns to the work environment. Therefore, decisions to accept dogs in the workplace may include many considerations including the health, safety, and well-being of employees, legal and cultural sensitivities, and animal welfare. The present paper serves to introduce the issue of dogs in the workplace and outline the potential benefits and challenges to their presence. The legal accommodations afforded to certain types of dogs in workplace settings are discussed, and the research findings pertaining to the potential benefits of dogs on human health and well-being are summarized. The paper concludes with considerations for human resource management personnel in the areas of diversity, employee relations, ethics and corporate responsibility, organizational and employee development, safety and security, and legal considerations, as well as suggested topics for future research.

“A controlling agency, together with the individuals who are controlled by it, comprises a social system … and our task is to account for the behavior of all participants.”—B. F. Skinner in Science...

The purpose of the present study was to investigate the cognitive processes underlying texting while driving. A sample of 120 college students completed a survey to assess how frequently they send and read a text message while driving. Based on this information, students were assigned to one of two groups: 20 students who frequently text while driving and 20 matched-control students who infrequently text while driving but were similar in gender, age, years of education, and years driving. The groups were compared on the extent to which they differed in self-reported measures of executive function and impulsivity. The groups were also compared on a behavioral measure of impulsivity: the extent to which they discounted hypothetical monetary rewards as a function of the delay. For this measure, the students made repeated choices between smaller monetary rewards available immediately and larger rewards available after delays ranging from 1 week to 6 months. The results show that the group of students who frequently text while driving showed (a) significantly lower levels of executive function and (b) higher levels of self-reported impulsivity, although the groups did not differ significantly on the behavioral measure of impulsivity. These results support a general conclusion that drivers with lower levels of executive function and higher levels of impulsivity are more likely to text while driving.

Objective. Decisions to use a service dog for employment impacts more than just the workplace. It extends into housing, transportation, and public access. Findings from an exploratory study of the use of service dogs in the workplace revealed a need for clarification and dissemination of relevant laws and resulting regulations associated with living and working with a service dog (Glenn, 2013). This investigation sought to respond with a review of legislation and case law that may impact a person's ability to live and work independently with a service dog. Method. A search of the regulations and case law in the United States related to the use of a service dog in various environments was conducted, focusing on examples of legal precedents that have arisen at the federal, state and local levels. Results. Federal law and resulting regulations, as well as local and state case law, were presented for Disability Support and Accommodation: service animal definitions, use of service animals in different environments to include housing, public access, transportation, and employment, rights to privacy, and responsibility to maintain control of the dog. Conclusions. Two themes needing attention emerged: (1) discrepant interpretations of service animal in the law and by the general population and (2) among service dog handlers and allies there exists a lack of accurate information and ability to inform others of their rights, the laws and associated requirements related to service dog teams.