Free Webinar Opportunity - Opioids in the Workplace
“FYI - The Workers Compensation Research Institute (WCRI) and the National Institute for Occupational Safety and Health (NIOSH) will host a free 90-minute webinar on Thursday, April 18. Please see the link and information copied below if you are interested in participating.”
Correlates of Opioid Dispensing in Workers’ Compensation
Via Adobe ConnectExternal
Thursday, April 18, 2019
Please join us for the second special presentation on Opioids in the Workplace as part of the Total Worker Health (TWH) Webinar Series, focused on new research at the intersection of work and the nation’s opioid crisis. During the webinar, you will hear from Dr. Vennela Thumula, a policy analyst at the Workers’ Compensation Research Institute (WCRI), and Dr. Casey Chosewood from the NIOSH Total Worker Health Program. Dr. Casey Chosewood will highlight the comprehensive steps NIOSH is taking to assist and protect workers, employers, and first responders on the front line facing the opioid misuse and overdose crisis. NIOSH is looking at the full “lifecycle” of opioid use from precursors in the workplace that may trigger first use of opioids, to employment and working conditions that may increase opioid misuse.
Dr. Thumula will provide an overview of latest research from WCRI on opioid dispensing to injured workers and discuss the findings from her recent study, titled Correlates of Opioid DispensingExternal. The study identifies characteristics of injured workers and their employers that are associated with differences in opioid dispensing rates. These characteristics or correlates include worker age and gender, type of injury, industry group and employer’s payroll size, and location (county-level opioid dispensing rate, urban-rural classification, and health insurance coverage rate).
This webinar will address questions such as:
In what industries were injured workers more likely to receive opioids when receiving a prescription for pain medication?
Does location of the injured worker have an impact on the likelihood of receiving opioids?
What role did worker’s age and gender have on opioid dispensing rates?