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Enregistrement W4409337429 · doi:10.5334/ijic.icic24360

Leveraging integrated youth services (IYS) for social prescribing: A case study of Youth Wellness Hubs Ontario

2025· article· en· W4409337429 sur OpenAlexaboutno aff
Joanna Henderson, Karleigh Darnay, Deb Chiodo, Aaron Turpin

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueArt Therapy and Mental Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIntegrated careSocial WelfareSocial careSocial workHealth carePublic relationsMedicineNursingPolitical science

Résumé

récupéré en direct d'OpenAlex

Mental health service use among youth continues to be low while treatment for substance use has been found insufficient at meeting youth needs. Youth seeking services commonly experience multiple internalizing and externalizing difficulties as well as other challenges, such as substance use, that, when are unaddressed or under-addressed, can lead to poor developmental outcomes. The need for quality integrated services addressing these issues concurrently is well documented, yet service frameworks adopting this approach are largely absent from practice. Addressing this service gap, Integrated Youth Services (IYS) is an innovative care approach that incorporates Social Prescribing (SP) practices through establishing multidisciplinary teams of professionals who work together to meet the co-occurring needs of youth and their families. IYS establishes a shared vision of delivering youth services across an integrated network of providers thereby transcending the capacity of individual programs and leveraging the power of a collective network providing wholistic support and reducing fragmentation of care. IYS exemplifies an innovative approach to SP through the development of a closely connected network of inter-disciplinary service providers Social prescribing refers to community-based activities that are person-centered and aim to support individuals in addressing their own social and health needs through community connections. Core elements of SP include community-based service provision and interprofessional collaboration, and SP is commonly characterized by engagement in referrals from clinical to non-clinical community services and the use of multidisciplinary care teams. Therefore, SP is a tool that complements mental health and primary care, and is highly compatible with the IYS model given that both share the goal of reducing health disparities by enhancing social connectedness, emphasizing engagement with non-clinical community services, and reducing health system utilization. Both approaches involve connecting youth to community-based social supports, which often includes screening for needs and actively supporting access to services. Moreover, a key pillar of both SP and IYS is the notion of person-centeredness where interventions are designed to empower individuals to improve their own health. In addition, SP aligns with IYS because both facilitate strong relationships between practitioners by building on pre-existing network strengths, enhancing service tracking, and increasing follow-through when working between services. Evidence supports that challenges with social determinants of health (i.e., access to treatment, food security, employment, education, finances) are common among service-seeking youth, and models of IYS provide service integrated pathways that address the full range of concerns with which youth are presenting. This study used a case study approach to examine descriptive service-related data to understand the reasons youth visit IYS hubs, the needs addressed in service appointments, and the type of service provided. A comparative analysis of service data found that youth across visits to YWHO Hubs are engaging with multiple services and service providers, with a wide range of needs addressed. YWHO is shown to support service use in multiple ways during the development, implementation, and delivery of services. Next steps would include linking service data with clinical outcome data to better understand how SP contributes to improvement in youth outcomes.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,165
Score d'incertitude au seuil0,333

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,004
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0180,004
Communication savante0,0030,001
Science ouverte0,0020,004
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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.

Tête enseignante Opus0,061
Tête enseignante GPT0,311
Écart entre enseignants0,250 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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