Addiction, Author Interviews, Occupational Health / 07.08.2019
Construction Workers Have Highest Rate of Opioid-Related Deaths
MedicalResearch.com Interview with:
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Dr. Hawkins[/caption]
Devan Hawkins ScD
Instructor of Public Health
School of Arts and Sciences
MCPHS University
MedicalResearch.com: What is the background for this study?
Response: As has been well established, mortality due to opioids has been increasing rapidly in recent years. We were interested in understanding whether mortality rates may be high among workers in certain industries and occupations for two primary reasons.
First, if we were to find that mortality rates differed according to industry and/or occupation it might indicate that some aspect of these industries and occupations put workers at elevated risk for opioid-related overdose death.
Second, interventions could be created to target these workers and hopefully prevent more deaths.
Dr. Hawkins[/caption]
Devan Hawkins ScD
Instructor of Public Health
School of Arts and Sciences
MCPHS University
MedicalResearch.com: What is the background for this study?
Response: As has been well established, mortality due to opioids has been increasing rapidly in recent years. We were interested in understanding whether mortality rates may be high among workers in certain industries and occupations for two primary reasons.
First, if we were to find that mortality rates differed according to industry and/or occupation it might indicate that some aspect of these industries and occupations put workers at elevated risk for opioid-related overdose death.
Second, interventions could be created to target these workers and hopefully prevent more deaths.






Dr. Zhu[/caption]
Wenjia Zhu, PhD.
Marshall J. Seidman Fellow
Department of Health Care Policy
Harvard Medical School
MedicalResearch.com: What is the background for this study? What are the main findings?
Response: The current opioid epidemic continues to cause deaths and tremendous suffering in the United States, driven in large part by overuse of prescription opioids. Of special concern are new opioid prescriptions, i.e. opioids given to patients who have not used opioids before, which research tells us are an important gateway to long-term opioid use, misuse, overdoes and death. Recently, in their efforts to curb over prescribing of opioids, the CDC issued guidelines (December 2015 in draft form; March 2016 in final version) to encourage opioid prescribers to limit the use, duration and dose of opioids, particularly opioids to first-time users. Despite these, little is known about the prescribing of opioids to first-time users on a national scale, particularly among commercially insured patients.
In this study, we examined national monthly trends in the rate at which opioid therapy was started among commercially insured patients. Using administrative claims from Blue Cross Blue Shield Association commercial insurers from 2012 to 2017, we analyzed more than 86 million commercially insured patients across the United States.
Dr. Kessler[/caption]
MedicalResearch.com Interview with:
Lawrence M. Kessler, PhD Research Assistant Professor
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Dr. Harris[/caption]
Matthew C. Harris, PhD Assistant Professor
Boyd Center for Business and Economic Research and Department of Economics
The University of Tennessee
MedicalResearch.com: What is the background for this study?
Response: Motivation for this study came from Co-Author, Matt Murray, who was at a speaking engagement and heard a community business leader say “we’ve got jobs, but no one is applying, could opioids be a contributing factor?” This led to a conversation back at the Boyd Center between us and Matt Murray, where we decided that if we could get data on prescription rates, we could answer this question empirically.
We started by contacting each state agency in charge of their respective prescription drug monitoring program to see if they’d be willing to share county-level data on prescription opioid rates. From this letter-writing campaign we received data from 10 states, which formed the basis for our analysis. As time went on, new data was made publicly available and we were able to expand the analysis to all 50 states.