Local Availability of Medications for Opiate Use Disorder Across Chicago
Session Number
Project ID: MEDH 37
Advisor(s)
Dr. Emma Childs, University of Illinois at Chicago, Psychiatric College of Medicine
Discipline
Medical and Health Sciences
Start Date
17-4-2024 10:00 AM
End Date
17-4-2024 10:15 AM
Abstract
The main public health initiatives to address the pandemic of lethal opiate overdoses have been to increase availability of medications for opioid use disorder (MOUD). Despite expanded access, studies have demonstrated the existence of community-level barriers. To date, none have looked at MOUD availability in Chicago. In this project, we analyzed the availability of suboxone films, Narcan/naloxone, and naloxone standing order (SO) at community pharmacies in Chicago (collected via telephone audit conducted 3/1/23- 4/30/23) with relation to local rates of health insurance (Chicago Health Atlas) and neighborhood diversity (American Census Bureau) using hierarchical linear regression. The majority of Chicago zip’s have diverse populations (64% have no predominant race or ethnicity). However, rates of uninsured persons varied between zip codes classified as predominantly White (5), Black/AA (11), and Hispanic/Latino (4)(White
Local Availability of Medications for Opiate Use Disorder Across Chicago
The main public health initiatives to address the pandemic of lethal opiate overdoses have been to increase availability of medications for opioid use disorder (MOUD). Despite expanded access, studies have demonstrated the existence of community-level barriers. To date, none have looked at MOUD availability in Chicago. In this project, we analyzed the availability of suboxone films, Narcan/naloxone, and naloxone standing order (SO) at community pharmacies in Chicago (collected via telephone audit conducted 3/1/23- 4/30/23) with relation to local rates of health insurance (Chicago Health Atlas) and neighborhood diversity (American Census Bureau) using hierarchical linear regression. The majority of Chicago zip’s have diverse populations (64% have no predominant race or ethnicity). However, rates of uninsured persons varied between zip codes classified as predominantly White (5), Black/AA (11), and Hispanic/Latino (4)(White