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Income-Based Disparities in Opioid Prescription Dispensing Among Public Drug Plan Beneficiaries in Canada from 2010
Mhd Wasem Alsabbagh1, Moad Alsefaou2, Susan J Elliott3
1School of Pharmacy, Faculty of Science, University of Waterloo, 10 Victoria St S, Kitchener, ON, N2G 1C5, Canada. wasem.alsabbagh@uwaterloo.ca.
Background:
Previous research in Canada has examined opioids prescription dispensing at the population level but did not examine the potential relationship with area-level income and rates of opioid dispensing.
Objective:
The aim was to estimate average and annual opioid dispensing rate ratios (RRs) between lowest and highest income quintile geographic areas in Canada.
Methods:
We performed a population-based retrospective study using the National Prescription Drug Utilization Information System (NPDUIS) between 2010 and 2018 that contains prescription records for all public drug plan beneficiaries (65+) in all Canadian provinces, excluding Quebec, Nova Scotia, and New Brunswick. We used census median household income, calculated at the Forward Sortation Area (FSA-the first three letters of the postal code) to assign income quintiles. Morphine milligram equivalent (MME) was calculated for all opioid dispensing and was divided by population of the FSA quintile. Population census year 2016 was used for population and income estimations. We calculated the average and annual RR between lowest and highest quintiles and stratified them by patients' sex. The significance of the trend of annual RR was tested by linear regression.
Results:
The average MME per capita for the 65+ population ranged from 2321.8 in quintile 1 to 5831.9 in quintile 5. The RR between highest and lowest quintile was 2.5 (95% confidence interval [CI] 1.3-3.7), and was more profound for males (3.2, 95% CI 1.4-4.9) than females (2.2, 95% CI 1.2-3.3). Over the study period, the RR reduced slightly from 2.7 to 2.3 (p < 0.01). However, this trend was only significant for females.
Conclusion:
Inequity in opioid prescriptions dispensing was persistent over time. Patients in the lowest income quintiles received higher amounts of opioids per capita, with some sex variation. Dispensing policies must take these equity issues into account.
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