Occupational Factors Associated With Burnout Among a Sample of 9-1-1 Public Safety Telecommunicators in Washington State.

Introduction: This study aimed to investigate occupational factors associated with burnout among a sample of 9-1-1 public safety telecommunicators (PSTs).

Methods: An online survey measuring organizational factors (ie, perceived visibility and inclusion in the agency, respectful culture, leadership support, perceived gratitude, and coworker conflict); job characteristic s (ie, work-life integration, overtime, salary satisfaction, and job meaningfulness); and burnout, demographic, and call center characteristics was emailed to a sample of PSTs.

Analysis: Descriptive, bivariate, and multiple linear regression analyses were used to characterize the sample and investigate relationships among variables.

Exploring determinants of log truck accidents resulting in injury or fatality in the Northwest United States between 2015-2019 using Motor Carrier Management Information System data.

Log truck drivers represent a high-risk yet understudied worker population. Logging, more generally, is known to be one of the most dangerous industries in the country, but little is known about injury and fatality rates among log truck drivers specifically. Using data from the Motor Carrier Management Information System (MCMIS), this study aims to characterize log truck crashes in Washington, Oregon, Idaho, and Montana.

How does gender and work location impact perceived worker stress during COVID-19? Findings from King County, WA.

Using an online survey, we explored workplace determinants of perceived stress during COVID-19 in n=2910 county government workers, and differences in perceived stress by gender and work arrangement (work from home v. do not work from home). We explored relationships with descriptive statistics and linear regression.

Determinants of Stress, Depression, Quality of Life, and Intent to Leave in Washington State Emergency Medical Technicians During COVID-19.

Objectives: This study characterizes determinants of stress, depression, quality of life, and intent to leave among emergency medical technicians (EMTs) in the Puget Sound region, Washington, during the COVID-19 pandemic and identifies areas for intervention on these outcomes.

Methods: A cross-sectional survey measured stress, depression, quality of life, and intent to leave among EMTs ( N = 123). Regression models were developed for these outcomes.

Working Safely in the Trades as Women: A Qualitative Exploration and Call for Women-Supportive Interventions.

Background: Construction work offers women economic advancement and self-fulfillment opportunities, but multiple barriers prevent their increased representation in the industry. This study used qualitative methods to identity key physical and psychosocial safety hazards affecting tradeswomen.

Methods: Three focus groups were held in 2015 with 19 tradeswomen in Washington State.

Health and safety risk perceptions and needs of app-based drivers during COVID-19.

Background: App-based drivers face work disruptions and infection risk during a pandemic due to the nature of their work, interactions with the public, and lack of workplace protections. Limited occupational health research has focused on their experiences.

Methods: We surveyed 100 app-based drivers in Seattle, WA to assess risk perceptions, supports, and controls received from the company that employs them, sources of trust, stress, job satisfaction, COVID-19 infection status, and how the pandemic had changed their work hours.