Christine M Wickens1, Robert E Mann2, Bruna Brands3, Anca R Ialomiteanu4, Benedikt Fischer4, Tara Marie Watson4, Justin Matheson5, Gina Stoduto4, Jürgen Rehm6. 1. Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. Electronic address: christine.wickens@camh.ca. 2. Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada. 3. Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada; Office of Drug Research and Surveillance, Controlled Substances Directorate, Healthy Environment and Consumer Safety Branch, Health Canada, Ottawa, Ontario, Canada. 4. Centre for Addiction and Mental Health, Toronto, Ontario, Canada. 5. Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada. 6. Centre for Addiction and Mental Health, Toronto, Ontario, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario Canada; Clinical Psychology and Psychotherapy, Technische Universität, Dresden, Germany.
Abstract
BACKGROUND: Motor vehicle collisions are an important contributor to prescription opioid use-related morbidity and mortality. The purpose of the current study was to estimate the prevalence of driving under the influence of prescription opioids (DUIPO) in Ontario, Canada, and to measure the association between this behaviour and the risk of a motor vehicle collision. METHODS: Data were based on telephone interviews with 7857 respondents who reported having driven in the past year. Data were derived from the 2011-2016 cycles of the CAMH Monitor, an ongoing cross-sectional representative survey of adults aged 18 years and older. A binary logistic regression analysis of collision involvement in the previous 12 months was conducted and included demographic characteristics (sex, age, marital status, education, income, region), driving exposure, poor mental health, non-medical use of prescription opioids, and driving after use of alcohol. RESULTS: The prevalence of past-year DUIPO was 3.1%. Controlling for demographic characteristics, driving exposure, and other risk factors, self-reported DUIPO significantly increased the odds of a collision (AdjOR = 1.97; 95% CI 1.08, 3.60; p = 0.026). CONCLUSION: Based on these findings, DUIPO is a notable road safety issue. Research focused on better understanding the impact of prescription opioids on driver behaviour, reducing the prevalence of DUIPO, and improving drug-impaired driving policy and interventions should be prioritized in public health strategies.
BACKGROUND: Motor vehicle collisions are an important contributor to prescription opioid use-related morbidity and mortality. The purpose of the current study was to estimate the prevalence of driving under the influence of prescription opioids (DUIPO) in Ontario, Canada, and to measure the association between this behaviour and the risk of a motor vehicle collision. METHODS: Data were based on telephone interviews with 7857 respondents who reported having driven in the past year. Data were derived from the 2011-2016 cycles of the CAMH Monitor, an ongoing cross-sectional representative survey of adults aged 18 years and older. A binary logistic regression analysis of collision involvement in the previous 12 months was conducted and included demographic characteristics (sex, age, marital status, education, income, region), driving exposure, poor mental health, non-medical use of prescription opioids, and driving after use of alcohol. RESULTS: The prevalence of past-year DUIPO was 3.1%. Controlling for demographic characteristics, driving exposure, and other risk factors, self-reported DUIPO significantly increased the odds of a collision (AdjOR = 1.97; 95% CI 1.08, 3.60; p = 0.026). CONCLUSION: Based on these findings, DUIPO is a notable road safety issue. Research focused on better understanding the impact of prescription opioids on driver behaviour, reducing the prevalence of DUIPO, and improving drug-impaired driving policy and interventions should be prioritized in public health strategies.