S. Batko, Sarah Gillespie, A. Liberman, Sarah Gillespie
{"title":"Data Use and Challenges in Using Pay for Success to Implement Permanent Supportive Housing: Lessons From the HUD-DOJ Demonstration","authors":"S. Batko, Sarah Gillespie, A. Liberman, Sarah Gillespie","doi":"10.2139/ssrn.3615862","DOIUrl":null,"url":null,"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.”<br><br>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.","PeriodicalId":410291,"journal":{"name":"ERN: Analytical Models (Topic)","volume":"512 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Analytical Models (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3615862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.