Satisfaction with health and community services among homeless and formerly homeless individuals in Quebec, Canada
Notice bibliographique
Résumé
User satisfaction is a crucial quality indicator in health service provision. Few studies have measured user satisfaction among homeless and formerly homeless individuals, despite the high prevalence of mental health disorders (MHD) in this population. The purpose of this study was to assess overall satisfaction among 455 homeless and formerly homeless individuals who were receiving health and community services, and to identify factors associated with user satisfaction. Data collection occurred between January and September 2017. Study participants were 18 years old or over, with experience of homelessness in the current or recent past. They completed a questionnaire eliciting socio-demographic information, and data on residential history, service use and satisfaction and health profiles. Multivariate linear analysis was performed on overall satisfaction with health and community services in the previous 12 months. Independent variables were organised as predisposing, enabling and needs factors based on the Gelberg-Andersen Behavioral Model. The mean satisfaction score was 4.11 (minimum: 1; maximum: 5). Variables associated with greater user satisfaction included: older age, residence in permanent housing, common MHD (e.g., depression, anxiety), having a family physician, having a case manager, strong social network, good quality of life and, marginally, male sex and having substance use disorders (SUD). By contrast, frequent users of public ambulatory health services were the most dissatisfied. User satisfaction was more strongly associated with enabling factors. Strategies for improving satisfaction include: promoting more tailored primary care programmes (including family physician) adapted to the needs of this population, better integrating primary care with specialised services including SUD integrated treatment and enhancing continuity of care through the reinforcement of case management services. Further efforts aimed at increasing access to permanent housing with supports, and eliciting more active involvement by relatives and friends may also improve user satisfaction with services, and reduce unnecessary service use.
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 | 0,005 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,006 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,005 |
| 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 ».