Data Use and Challenges in Using Pay for Success to Implement Permanent Supportive Housing: Lessons From the HUD-DOJ Demonstration

S. Batko, Sarah Gillespie, A. Liberman, Sarah Gillespie
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Abstract

The U.S. Departments of Housing and Urban Development (HUD) and Justice (DOJ) launched the Pay for Success Permanent Supportive Housing Demonstration in 2016. HUD-DOJ are conducting a formative evaluation to assess whether providing permanent supportive housing (PSH) within a pay-for-success (PFS) framework is a successful and cost-effective way of using PSH to provide housing stability and reduce social service use and recidivism for a population continually cycling between homeless services and the criminal justice system. PFS is an innovative financing model that leverages philanthropic and private dollars to provide up-front financing, with the government paying after they generate results, i.e. “pay for success.”

The current formative evaluation deliverables include a Research Brief that documents the challenges faced by the grantees and their solutions. This Research Brief documents data challenges that arose in four areas: stakeholders, data quality, privacy, and timeliness of data. Although data challenges played a role in lengthening feasibility analyses beyond the anticipated 1-year timeline, many of the seven sites in the HUD-DOJ PFS Demonstration made important progress in bringing stakeholders to the table to support data access, negotiating privacy concerns and data sharing agreements, and problem-solving data quality issues or delays in data access.
使用“成功付费”实施永久性支持性住房的数据使用和挑战:来自hud和司法部示范的经验教训
美国住房和城市发展部(HUD)和司法部(DOJ)于2016年启动了“为成功支付永久性支持性住房示范”。HUD-DOJ正在进行一项形成性评估,以评估在成功付费(PFS)框架内提供永久性支持性住房(PSH)是否是一种成功且具有成本效益的方式,使用PSH来提供住房稳定性,并减少社会服务的使用和累犯,因为人口不断在无家可归者服务和刑事司法系统之间循环。PFS是一种创新的融资模式,利用慈善机构和私人资金提供前期融资,政府在取得成果后支付,即“为成功付费”。目前的形成性评估可交付成果包括一份研究简报,其中记录了受资助者面临的挑战及其解决方案。本研究简报记录了四个领域出现的数据挑战:利益相关者、数据质量、隐私和数据及时性。虽然数据挑战在延长可行性分析方面发挥了重要作用,超出了预期的1年时间,但HUD-DOJ PFS示范项目中的七个站点中,许多站点在将利益相关者召集到支持数据访问、协商隐私问题和数据共享协议、解决数据质量问题或数据访问延迟方面取得了重要进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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