Methods: This presentation describes the ASU project and presents preliminary findings. Medicaid claims data for a large urban community in the southwest US was analyzed for a population of approximately 350,000 claimants. Using multisector databases including hospital discharges, Medicaid claims, jail bookings, correctional health services, probation supervision, homeless management information system, law enforcement, the court system, and social service agencies, we simulate a future state of better alignment to create a coordinated delivery system for behavioral health disorders with an improved impact on health, well-being and equity for the population.
We use these data to compare patterns of care for physical health and severely mentally ill (SMI) patients as well as understand their respective determinants. We next apply these data to a multisector analysis to better understand the sequential intercept model to better align care processes and outcomes. To date, a multisector group of stakeholders, representing more than sixty individuals and organizations within Phoenix has been convened. Preliminary analysis has involved investigating how multisector services, delivery systems, and financing streams are currently aligned as well as their gaps.
Findings: Our findings provide a multisector analysis that follows patients across various treatment settings, law enforcement interventions, through the court system and final resolution including probation, incarceration, or discharge to the community. We also present distributions and frequencies associated with the sequential intercept at various stages in the process.
Implications for D&I Research: Very little research has been undertaken to understand multisector patterns and care utilization that includes healthcare, law enforcement, social service agencies, public health, and the court system. This is among the first research studies to assemble and match multisector cost and utilization.