Media is loading

Research Mentor Name

Daryl Laflamme

Research Mentor Email Address


Institution / Department

Wayne State University

Document Type

Research Abstract

Research Type


Level of Research


Type of Post-Bachelor Degree

Master of Public Health


Background: Over 630,000 Michiganders have a substance use disorder (SUD) and about 80% are not receiving care (1). The rate of unmet need for SUD care in the Detroit-Dearborn-Livonia area is 81% (1). Geographic placement of facilities may serve as a barrier in patient access to SUD program services. This geographic analysis investigates current Detroit SUD program facility locations and their community demographics.

Methods: ArcGIS Pro was used to visualize and analyze data by creating 2D maps and tables. Data on SUD programs, medically underserved areas, and zip codes were retrieved from government data portals. Census tract data was used to run statistical summaries of demographics.

Results: Twenty-seven zip codes were identified as medically underserved. Population and average household income for these zip codes are reported. There are 119 SUD programs in Detroit. The mean distance of facilities from each other is 0.43 miles. Zip codes 48209, 48227, 48228 and have a population greater than 30,000 and an average household income less than $43,000. They also have fewer SUD program facilities.

Conclusions: SUD program facilities are generally accessible in Detroit. Most of them are located around the eight hospitals in the city, which are in central and east Detroit. The west side of the city makes up a large portion of the city’s population; however, there are fewer SUD program facilities in this area. Community health services and SUD programs may consider expanding their services to the west side of the city to improve patient accessibility.


1 Rhyan C, Turner A, Ehrlich E, Stanik C. Access to Behavioral health Care in Michigan: Final Report. https://altarum.org/sites/default/files/uploaded-publication-files/Altarum_Behavioral-Health-Access_Final-Report.pdf. Published July 2019. Accessed December 11, 2020.


Community Health and Preventive Medicine | Geographic Information Sciences