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Reflections on the Finnish Experience from a US Perspective Dennis P. Culhane University of Pennsylvania
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Overview Housing First! In the US: Policy or Program? Current Debates on Siting Emerging Models for Floating Support Structural and Policy Perspectives
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Housing First: Policy or Program? Consumer-led Movement by People with SMI Became an Evidence-based Practice in Pathways Adopted as Official US Policy in 2009 Applies to Chronic and Crisis Homelessness In field – as much a philosophy as a policy – room for interpretation
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Current Debates on Siting Model has emphasized “consumer choice” and “housing as housing” not a residential program Congregate siting emerged in NYC and elsewhere “Olmstead” Supreme Court Decision – states are interpreting unit concentration threshold Consumers continue to advocate choice and “normalized” apartments Experience has shown some need and want more structure: “Permanent” Safe Haven Models
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Emerging Models for Floating Support HF model originated with Assertive Community Treatment (ACT) Recent research finds ACT no better than intensive case management (ICM), and ICM no better than Peer Support (quite lower cost) High fixed costs for support limits growth in units Critical Time Intervention as bridge to mainstream supports – Possibility for sustainable growth
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Structural and Policy Perspectives Commitment to HF! Policy – but Scaling Issues Remain Cost Argument has been Critical to Policy Adoption Aging of Adult Homeless Population is Key Factor for Future Integrating Evaluation into Programs Necessary for Sustaining Political Support
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Commitment to HF! But Scaling Issues Remain Approximately 100,000 CH in the US Flat HUD Homeless Budgets from 2010 to present Veterans are the Exception: 70,000 units since 2009: Veteran Homelessness down 35% Affordable Care Act (ACA) with Medicaid Expansion Holds Major Promise for Services Funding (But States Must Adopt and Adapt) Gap: Who will pay housing cost for nonVets?
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Cost Offsets Critical to Policy Adoption Research has indicated that especially for people with SMI, PSH/HF may be budget neutral over time For people with chronic substance abuse – evidence is less robust For people in service-poor states, not likely offsets For aging homeless population, case may be stronger
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Aging of Adult Homeless Population a Key Factor for Future Adult Homelessness in the US reflects an “Easterlin Cohort Effect” Increased Costs Predicted with Aging Cost Offset Opportunities Increase – Avoidance of Unnecessary Nursing Home Care US Budget Provision Allows Accounting for Cost Avoidance in Allocating New Housing Expenditure
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A Cohort Phenomenon 31-3340-42 49- 51 Source: Culhane et al. (2013)/ U.S. Census Bureau Decennial Census Special Tabulation
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Integrating Evaluation into Programs Necessary for Political Support Evidence and Cost Research has been key to Sustaining Political Support Mandatory Data Collection for Homeless Programs (HMIS) Has Created Infrastructure Mandatory Performance Measurement Immanent (Housing Placement Rates and Returns to Homelessness- at Program & Community Levels) Data Integration – Linking HMIS and Mainstream Service Data – a Growing Capacity with Impact
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Concluding Thoughts “Olmstead” (Supreme Court ruling) may drive siting issue debates, but some structured environments appear needed New and low cost service models needed: CTI, Peers, and Mainstream Supports? Federal housing spending a problem for capacity Aging issue a key factor for future Integrating data collection into programs, and linking data across systems a future potential
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