Assessing the impact of Connect 2 Care on the residential stability of homeless and vulnerably housed clients
Notice bibliographique
Résumé
Background Certain kinds of housing instability, such as foreclosure and homelessness, have been associated with poorer physical and mental health. The Connect 2 Care (C2C) program targets medically complex individuals who are unstably housed, primarily aimed at reducing acute care utilization and connecting clients to appropriate community-based care. However, because housing status is a fundamental determinant of health, the team also assists clients in finding permanent housing. As the C2C program aims to improve the health of its clients, we hope that this intervention positively impacts the housing stability of clients. Objective To determine whether the C2C program is effective in reducing factors of housing instability, such as the frequency of housing moves made, and time spent in unstable housing (such as shelters or sleeping outside). Methods C2C clients were asked to participate in 6- and 12- month follow-up surveys with a member of the research team. During both surveys, participants were prompted to describe their housing history using the Residential Time-Line Follow-Back (rTLFB) inventory. Starting at six months prior to their intake into C2C, participants created a twelve- to eighteen-month timeline that detailed their residential locations and number of housing transitions. Location descriptions provided by clients were categorized as stable, temporary, institutional, or literal homelessness. The number of housing transitions and the proportion of time spent in each housing category were then calculated for each individual. Changes in proportion of time spent over three unique time periods were evaluated using Wilcoxon’s paired rank test with Holm’s multiplicity correction. Results Since September 2018, housing data was collected from 100 unique clients. In comparing the six months preceding C2C intake with the six-to-twelve months after C2C intake, significant reductions in the amount of time spent in literal homelessness (p < 0.001) and reductions in the number of housing changes (p = 0.014) were observed. Discussion Housing stability for C2C clients improved after enrolment in the program. This study was potentially limited by incomplete sampling of the C2C population. Based on our findings, further research should be conducted in evaluating the relationship between increases in housing stability and increases of health status. Acknowledgements The C2C research team thanks Alberta Innovates and the Canadian Institute of Health Research for their financial support. The authors have no conflict of interests to state.
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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 | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 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 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 ».