Factors associated with housing stability and criminal convictions among people experiencing homelessness and serious mental illness: Results from a Housing First study
Notice bibliographique
Résumé
Background: Housing First (HF) facilitates immediate access to independent housing with community-based supports for people experiencing homelessness and serious mental illness (PEHSMI). Despite positive outcomes associated with HF, studies have infrequently investigated factors that are associated with adverse outcomes once in HF. This thesis investigates factors which hinder housing stability following randomization to HF and factors associated with criminal convictions prior to and following randomization to HF. Methods: Three investigations were conducted using data from the Vancouver At Home study, which contains two randomized controlled trials each involving randomization to HF vs. treatment as usual (TAU) among PEHSMI. Using self-reported data, the first investigation examined the effect of experiencing homelessness in childhood or youth on housing stability (≥90% of days stably housed) after receiving HF (TAU excluded). The second investigation retrospectively examined factors associated with criminal convictions during the five-year period preceding baseline. The third investigation examined factors associated with criminal convictions after receiving HF (TAU excluded). Provincial administrative data were combined with self-reported baseline data for the second and third investigations. Results: 1) Among participants randomized to HF (n=297), those who had experienced homelessness in childhood or youth had significantly lower odds of housing stability. 2) Prior to study baseline, seven variables were significantly associated with criminal convictions among participants (n=425), such as drug dependence, psychiatric hospitalization, and irregular frequency of social assistance payments (vs. regular). 3) Following receipt of HF (n=255), five variables were significantly associated with criminal convictions, including daily drug use, daily alcohol use, and having received addictions counselling among others. Conclusions: Results underscore social marginalization as contributing to poorer housing stability in HF and criminal convictions while in HF and prior to enrollment among PEHSMI. Further supports are needed to facilitate improvements for a greater proportion of HF clients. HF providers may be able to identify clients with additional support needs related to housing stability and criminal convictions by asking about the factors found to be significant in analyses.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, 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 ».