OralOpioids: Harnessing R Programming and Data Science to Combat Opioid Misuse.

Abstract

Aims: This study aims to introduce the OralOpioids R package, a novel research tool for the in-depth study and analysis of opioid prescriptions in Canada, which reports a significant per-capita pharmaceutical opioid consumption.

Methods: The OralOpioids R package employs data from Health Canada's Drug Product Database (DPD), focusing on authorized oral opioids. It systematically filters drug identification numbers (DINs) by narcotic schedules and administration routes. Moreover, it calculates the morphine equivalent dose (MED) for each DIN using the CDC table. Core functions include MED calculation for specific drugs, brand name retrieval, opioid content extraction, and unit computations based on Canadian MED guidelines.

Results: When juxtaposed against renowned opioid calculators such as MDCalc, Oregon Pain, and Ohio Pain, the OralOpioids package exhibited a near-perfect correlation, with R-squared values consistently at 0.99.

Conclusions: The OralOpioids package, distinctively tailored for research, marks a significant stride in understanding and monitoring Canada's opioid milieu. By encompassing data on discontinued opioids, it fosters a nuanced comprehension of the opioid panorama, enabling historical insight and post-marketing watchfulness. Primarily targeting researchers, its scope extends to healthcare providers, insurers, and administrative boards, all of whom can leverage its potent capabilities for informed decision-making. Although currently centered on Canadian opioids, its flexible design is primed for future expansion, potentially capturing a global audience and catalyzing efforts against the opioid crisis.