Value-Based Payment (VBP) models are reshaping how states finance behavioral health services under Medicaid. Rather than paying for volume — each therapy session, each crisis visit, each inpatient day — VBP arrangements tie reimbursement to outcomes: reduced emergency department utilization, improved medication adherence, sustained community tenure, and measurable quality benchmarks. Three states have emerged as early laboratories for this shift, each taking a distinct approach with instructive results.
Why Behavioral Health Demands a Different VBP Framework
Traditional VBP models were designed around episodic, measurable physical health conditions — a hip replacement, a diabetes management program, a cardiac event. Behavioral health presents a fundamentally different challenge: conditions are chronic, recovery is non-linear, social determinants dominate clinical outcomes, and the population is disproportionately high-cost across multiple service categories simultaneously.
A person with serious mental illness (SMI) may interact with the emergency department, inpatient psychiatric units, outpatient therapy, crisis stabilization, housing services, and the criminal justice system — often within a single year. Any VBP model that focuses narrowly on one service category will miss the full cost picture and create perverse incentives to shift costs rather than reduce them.
Effective behavioral health VBP models must therefore be population-based, cross-setting, and anchored to outcomes that matter to the member — not just to the payer. The three state models below each grapple with this challenge in different ways.
Vermont: Blueprint for Health and the Hub-and-Spoke Model
Vermont's Blueprint for Health is one of the most studied multi-payer primary care transformation programs in the country, and its integration of behavioral health into the payment model offers a replicable template. The state's Hub-and-Spoke model — originally designed for opioid use disorder treatment — has been extended to cover a broader range of behavioral health conditions under a capitated payment structure.
Under this model, designated Community Health Teams (CHTs) receive a per-member per-month (PMPM) payment that covers care coordination, behavioral health integration, and social support services. Providers are held accountable for a defined set of quality metrics including 30-day follow-up after psychiatric hospitalization, depression screening rates, and substance use disorder treatment engagement.
The outcomes data is compelling. Practices participating in the Blueprint model have demonstrated a 40%+ reduction in emergency department visits for behavioral health conditions compared to non-participating practices, and a measurable improvement in depression remission rates at 12 months. The PMPM payment structure has also enabled practices to hire behavioral health consultants embedded in primary care — a workforce model that fee-for-service reimbursement cannot sustain.
New Hampshire: Accountable Care Organizations for Medicaid Behavioral Health
New Hampshire has taken a more aggressive ACO-based approach, assigning Medicaid members with behavioral health conditions to accountable care organizations that bear downside financial risk for total cost of care. This is a significant departure from the typical managed care model, where risk is held by the health plan rather than the provider network.
The NH model requires ACOs to meet a set of behavioral health-specific quality thresholds as a condition of shared savings eligibility. These include follow-up after hospitalization for mental illness (FUH), antidepressant medication management (AMM), and initiation and engagement of alcohol and other drug abuse or dependence treatment (IET). ACOs that miss these thresholds forfeit a portion of their shared savings, creating a direct financial incentive to invest in care coordination infrastructure.
Early results from the NH ACO program show a 25% reduction in psychiatric readmission rates among attributed members and a significant increase in outpatient follow-up within 7 days of discharge — a metric that is strongly predictive of long-term community tenure and reduced total cost of care. The downside risk structure has also driven ACOs to invest in peer support specialists and community health workers in ways that fee-for-service arrangements historically have not incentivized.
Tennessee: TennCare's Behavioral Health Value-Based Purchasing Initiative
Tennessee's TennCare program has implemented a behavioral health value-based purchasing (VBP) initiative that operates through its managed care organizations (MCOs) rather than directly with providers. MCOs are required to pass a defined percentage of their behavioral health capitation through to providers in the form of VBP arrangements, with the state setting minimum quality metric requirements and reporting standards.
This approach — sometimes called a "VBP pass-through" model — allows the state to drive VBP adoption across a large and fragmented behavioral health provider network without requiring direct contracting relationships with hundreds of individual providers. The MCOs serve as the intermediary, designing their own VBP arrangements within state-defined guardrails.
The TennCare initiative has generated approximately $2,500 in per-member annual savings for high-cost behavioral health members attributed to VBP-contracted providers, driven primarily by reductions in inpatient psychiatric days and emergency department visits. The savings are concentrated among members with co-occurring substance use and mental health conditions — the highest-cost, highest-need segment of the behavioral health population.
Cross-State Lessons for Medicaid Managed Care Plans
Across all three state models, several design principles emerge as consistently associated with positive outcomes:
VBP models that hold providers accountable for a defined attributed population — rather than individual episodes — generate stronger incentives to invest in prevention, early intervention, and care coordination.
Metrics that span the care continuum (inpatient, outpatient, ED, community) are more predictive of total cost of care than single-setting measures. Follow-up after hospitalization and treatment engagement metrics are particularly powerful.
PMPM and capitated payment structures enable providers to hire peer support specialists, care coordinators, and embedded behavioral health consultants — roles that fee-for-service billing cannot sustain but that drive the largest outcome improvements.
States that have introduced downside financial risk — even modest amounts — have seen faster investment in care management infrastructure than upside-only shared savings models. Risk creates urgency that incentives alone do not.
All three state models required significant investment in claims-based attribution, quality measurement, and provider-facing data reporting before VBP arrangements could be operationalized. States that underinvested in data infrastructure saw slower adoption and weaker outcomes.
Implications for California and CalAIM
California's CalAIM initiative represents the most ambitious behavioral health VBP transformation in the country by scale, but it is still in early stages of operationalizing the payment reform components. The Enhanced Care Management (ECM) and Community Supports (CS) programs are structured as fee-for-service with quality reporting requirements — a necessary first step, but not yet a true VBP model.
The lessons from Vermont, New Hampshire, and Tennessee suggest that California's next phase should focus on three priorities: developing a robust attribution methodology for the SMI and SUD populations, establishing cross-setting quality metrics that span ECM, CS, and specialty mental health services, and creating a pathway for managed care plans to pass VBP arrangements through to ECM lead entities and behavioral health providers.
Carenodes works with managed care plans and provider organizations navigating this transition — from designing VBP contract terms to building the data infrastructure needed to measure and report on behavioral health quality metrics at the population level.