A Rent Subsidy and Identity Capital Intervention for Youth Exiting Homelessness: Protocol for the Transitioning Youth Out of Homelessness 2.0 Pilot Randomized Controlled Trial (Preprint)
Notice bibliographique
Résumé
BACKGROUND For young people who have experienced homelessness, relative housing stability alone is insufficient to achieve socioeconomic inclusion. There is little peer-reviewed research investigating interventions targeting socioeconomic inclusion outcomes for youth who have experienced homelessness. Our previous community-engaged work signaled that identity capital (purpose, control, self-efficacy, and self-esteem) may mediate socioeconomic inclusion outcomes for youth exiting homelessness. This 12-month pilot randomized controlled trial (RCT) explores whether portable rent subsidies and an intervention targeting identity capital hold promise as a way to facilitate socioeconomic inclusion for youth exiting homelessness and living in market rent housing in Ontario, Canada. OBJECTIVE The objectives of this study were (1) to examine the feasibility and acceptability of an RCT of targeted economic and identity-based supports to foster socioeconomic inclusion (primary objective), (2) to estimate the effect of adding identity-based supports to economic supports (intervention group) compared with economic supports alone (control group) at the 12-month end point with respect to self-reported proxy indicators of socioeconomic inclusion (secondary objective), and (3) to explore, among the intervention group, whether the estimated effect of the intervention differs by baseline variables or level of engagement with the intervention (exploratory objective). METHODS This study is a convergent mixed methods, 2-arm parallel RCT, open-label design with 1:1 allocation. All youth participants (n=40) received rent subsidies; half were randomly assigned an identity capital intervention (co-designed leadership guide+coach). The overall study was guided by community-based participatory action research axiology. The qualitative component used a qualitative descriptive design underpinned by critical social theory. The measures used were (1) recruitment, enrolment, and dropout metrics; self-report composite checklists regarding intervention engagement; coaching session attendance; and qualitative focus groups (primary measures); (2) education, employment, and training; housing security; and identity capital (secondary measures); and (3) impact of baseline variables (eg, participant demographics such as gender or mental health symptoms as measured by the Global Appraisal of Individual Needs–Short Screener) or level of engagement with intervention (coaching session attendance) on secondary measures (exploratory measures). RESULTS Recruitment and enrolment began March 1, 2023, and ended June 19, 2023. Data collection began March 7, 2023, and ended June 17, 2024. Qualitative and quantitative data analyses concluded on August 20, 2024. CONCLUSIONS Findings from this RCT will help inform the way we conceptualize the types of supports that are necessary to sustain successful exits from homelessness. The intervention was co-designed with youth who have experienced homelessness, and their voices will continue to inform the next iteration of this work. CLINICALTRIAL ClinicalTrials.gov NCT05781503; https://clinicaltrials.gov/study/NCT05781503 INTERNATIONAL REGISTERED REPORT DERR1-10.2196/66210
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,011 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,003 | 0,002 |
| Méta-épidémiologie (sens large) | 0,004 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,070 | 0,007 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».