Online Program

320165
Patient characteristics associated with high-risk dose of prescription opioids


Sunday, November 1, 2015

Alvin Ng, BS, Substance Abuse Prevention and Control, Los Angeles County Department of Public Health, Alhambra, CA
Kairong Wang, Ph.D, MS, Substance Abuse Prevention and Control, Los Angeles County Department of Public Health, Alhambra, CA
Tina Kim, Ph.D., MA, Substance Abuse Prevention and Control, Los Angeles County Department of Public Health, Alhambra, CA
Gary Tsai, MD, Substance Abuse Prevention and Control, Los Angeles County Department of Public Health, Alhambra, CA
Background:The rate of prescription opioid-related deaths has increased considerably over the years. Of the 22,134 prescription-related deaths in US in 2010, 75% (16,451) were due to opioids. Studies have shown that among patients receiving prescription opioids, dosage is strongly associated with overdose mortality, particularly at doses greater than 100 morphine milligrams equivalent per day (MED). The objective of this study is to identify patient characteristics associated with high-risk doses (>100 MED) of prescription opioids in Los Angeles County (LAC).

Methods:California’s 2012 Controlled Substance Utilization Review and Evaluation System (CURES) data and drug information from Prescription Drug Monitoring Program Training and Technical Assistance Center were utilized to identify patient factors associated with high-risk doses of prescription opioids.

Results:Among 1,482,367 patients who received opioid prescriptions in LAC in 2012, 109,443 received at least one prescription with MED >100. Compared to patients >45 years old, patients <25 years old (OR=0.37, 95% CI: 0.36-0.38) and patients between the ages of 25-44 (OR=0.78, 95% CI: 0.77-0.79) were less likely to receive high-risk doses of prescription opioids. In addition, male (vs female, OR=1.34, 95% CI: 1.33-1.36), doctor shoppers (vs. non doctor shoppers, OR=5.86, 95% CI: 5.51-6.23), and multiple payment methods (vs. 1 method, OR=3.35, 95% CI: 3.29-3.42) were more likely to receive high-risk doses of prescription opioids.

Conclusions: Patient characteristics including age, gender, doctor shopper, and number of payment methods were associated with high-risk doses of prescription opioids. Understanding these risk factors can help clinicians make informed decisions to prevent prescription opioid-related deaths.

Learning Areas:

Biostatistics, economics
Chronic disease management and prevention
Epidemiology
Public health or related research

Learning Objectives:
Identify patient characteristics associated with high-risk doses of prescription opioids

Presenting author's disclosure statement:

Qualified on the content I am responsible for because: I have been involved in prescription drug abuse research and medical task force to reduce prescription drug abuse in Los Angeles County during past 3 years.
Any relevant financial relationships? No

I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.