Recovery Support and Capacity Assessment Using the Calculating an Adequate System Tool: Two Case Studies.

Background: There are multiple, reliable, and authoritative federally managed data sources for understanding the incidence and prevalence of substance use disorder (SUD) and its sequela. However, there remains a gap in metrics representing the need and capacity for treatment and related supports within local communities. To address this challenge, Calculating an Adequate System Tool (CAST) was developed in 2016 by an interdisciplinary group of researchers at the Substance Abuse and Mental Health Services Administration Center for Behavioral Health Statistics and Quality to assess the capacity of the SUD care system within a defined geographic area. It allows for risk assessment of local social and community determinants of substance abuse, as well as an assessment of local service needs across the continuum of SUD care.

Methods: This article describes the application of the CAST to 2 counties in Ohio and 1 county in Montana. The purpose of using CAST for each area, results of the application, and experiences in utilizing the tool are described.

Results: Application of the CAST demonstrated unique findings within each of the geographic areas. In Ohio, recovery support services were lacking in both counties assessed, while differences in crime rate and alcohol outlet density were attributed to varying rates of drug-related hospitalization. Notable findings in Montana included an oversaturation of coalitions focused on substance use prevention and gaps in the areas of detoxification services, partial day treatment, recovery residences, and peer support specialists.

Conclusions: CAST is a useful tool for guiding decision-making relative to substance use care needs and capacities for local geographic areas. Findings should be interpreted thoughtfully and in the context of data availability. CAST continues to be enhanced and further expanded for assessing capacity of local and statewide substance use care systems.