Comparison of Housing First and Traditional Homeless Service Users in Eight European Countries: Protocol for a Mixed Methods, Multi-Site Study
Bibliographic record
Abstract
BACKGROUND: Homeless services expend considerable resources to provide for service users' most basic needs, such as food and shelter, but their track record for ending homelessness is disappointing. An alternative model, Housing First, reversed the order of services so that homeless individuals are offered immediate access to independent housing, with wraparound supports but no treatment or abstinence requirements. Although the evidence base for Housing First's effectiveness in ending homelessness is robust, less is known about its effectiveness in promoting recovery. OBJECTIVE: The objective of this research is to compare rehabilitation- and recovery-related outcomes of homeless services users who are engaged in either Housing First or traditional staircase services in eight European countries: France, Ireland, Italy, the Netherlands, Poland, Portugal, Spain, and Sweden. METHODS: A mixed methods, multi-site investigation of Housing First and traditional services will compare quantitative outcomes at two time points. Key rehabilitation outcomes include stable housing and psychiatric symptoms. Key growth outcomes include community integration and acquired capabilities. Semistructured interviews will be used to examine service users' experiences of environmental constraints and affordances on acquired capabilities to identify features of homeless services that enhance service users' capabilities sets. Multi-level modelling will be used to test for group differences-Housing First versus traditional services-on key outcome variables. Thematic analysis will be used to understand the ways in which service users make sense of internal and external affordances and constraints on capabilities. RESULTS: The study is registered with the European Commission (registration number: H2020-SC6-REVINEQUAL-2016/ GA726997). Two press releases, a research report to the funding body, two peer-reviewed articles, and an e-book chapter are planned for dissemination of the final results. The project was funded from September 2016 through September 2019. Expected results will be disseminated in 2019 and 2020. CONCLUSIONS: We will use the findings from this research to formulate recommendations for European social policy on the configuration of homeless services and the scaling up and scaling out of Housing First programs. From our findings, we will draw conclusions about the setting features that promote individuals' exits from homelessness, rehabilitation, and recovery. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/14584.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.052 | 0.029 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.028 | 0.005 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".