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    Public Health, Social Determinants and Population Health

    Clinical Practices, Recovery and Social Supports

    MP29 - Predicting Outpatient Follow-up for Optimizing Invervention Resource Allocation After Psychiatric Hospitalization

    Monday, May 5, 2025
    12:30 PM – 1:00 PM ET
    Location: Hall BCD
    This project conducted by Carelon BH CT on behalf of the Connecticut Behavioral Health Partnership (CT BHP) identified demographic, clinical, and socioeconomic factors of HUSKY Health members associated with not following up with outpatient services after inpatient mental health treatment. Based on those risk factors, a predictive model was developed to identify individuals at risk of not connecting to care. A tiered system was created to allow the allocation of clinical interventions of increasing intensity according to risk-level, including member (intensive care management) and provider-level interventions.

    Learning Objectives:

    • Identify demographic, clinical, and social risk factors associated with not connecting to care following an episode of inpatient mental health treatment.
    • Demonstrate how those variables can be used to develop a predictive algorithm to identify individuals at higher risk of not following up within seven days of discharge.
    • Formulate a tiered system of risk-groups to target interventions aiming to improve connection to care following inpatient mental health treatment.