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Enregistrement W4413358674 · doi:10.5334/ijic.nacic24120

Neighbourhood Care Team - Integrated care-model for team based primary care and aging at home

2025· article· en· W4413358674 sur OpenAlexaboutno aff
Jocelyn Charles, Naomi Ziegler, Stacy Landau, Jagger Smith, Arlene Howells, Kiara Fine, Laura J Addis, Vyshnave Jeyabalan, Kay Mcgarvey, R. J. Sauer

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiqueGeriatric Care and Nursing Homes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPrimary careNeighbourhood (mathematics)Integrated careNursingMedicinePsychologyHealth careFamily medicinePolitical science

Résumé

récupéré en direct d'OpenAlex

Background: Seniors are living with more severe illness, while caregivers and providers are more prone to burnout 2. Systemic barriers contribute to seniors and families inability to access appropriate and timely healthcare services and poor outcomes.The challenge of coordinating/managing multiple services is worsened by language, cultural, income and functional barriers. Target populationToronto Seniors Housing Corporation (TSHC) provides housing for 5,000 low-income seniors in 83 seniors-designated buildings across the City of Toronto. The average age of tenants is 75 with a growing population of seniors over 85. A large percentage of tenants (44%) do not speak English as their first language, live on their own (90%), and suffer from a combination of mental health and chronic conditions that contribute to high rates of social isolation (TSHC ISM, 2023). Who did you involveThe NCT model, including all levels of care planning, was co-developed with the active participation of community members and local stakeholders from a variety of organizations such as: Community services, Primary-Care, Housing, Hospitals, City services, etc. and through active engagement with over 240 tenants in 7 languages. Engagement efforts included door knocking, surveys, lobby voting, and ongoing participation of tenant volunteers in planning meetings. The approach/intervention: The North Toronto Ontario Health Team (NT OHT) Neighbourhood Care Team (NCT) is an outreach-based integrated geriatric and population health model of care. The model brings together local partners from all sectors to operate as one team, beyond the walls of their institutions, in support of low-income tenants residing in Toronto Seniors Housing Corporation (TSHC) across North Toronto.The model objective is to promote an early identification of needs and support seniors access to team-based primary care and resources to prevent crisis, decrease use of institutional care, increase quality of life and promote aging at home.This scalable model brings existing service providers under a common set of goals and structures to work as one team, with maximum impact and efficiency. Client care is coordinated such that services are provided in the appropriate sequence, using the right mix of local, in-person services, and digital channels and resources. The model includes three levels of care starting with a core team that is imbedded within the building and serves as a first point of contact. Care is delivered through a combination of in-person and digital tools to support wellness and access to care. Results: The Neighbourhood Care Team model has been implemented in five TSHC buildings, available to over 900 tenants, with 3 partnering organizations engaged.Initial results have been very promising, with reductions seen in inpatient days. Over 75 tenants were connected to primary care services. Our screening demonstrated impact on early identification of needs and access with 95% identified to have gaps in preventative care and 92.5% needed support to access dental funding available to them. Individual cases demonstrate the transformative potential of the model. Patients referred for Long-Term Care instead of returning home for over 200 days without incident and a reduction in Emergency Department visit from 2 per year to zero year to date. Implications: In this oral presentation the audience will: Understanding how housing, social services and healthcare partners can come together as one team to support improved health and social outcomes for low-income seniors. Understand how to translate patients and family input into implementation. Learn about how the model removes access barriers and promotes earlier identification of at-risk individuals. Our next steps will focus on:Advancing communication systems to improve coordination and further support tenants ongoing inclusion in decision making as part of our team approach as well as identify sustainable primary care engagement models.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,048
Score d'incertitude au seuil0,095

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,001
Communication savante0,0020,001
Science ouverte0,0020,005
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0130,003

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 Opus0,015
Tête enseignante GPT0,350
Écart entre enseignants0,334 · 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'étudeSans objet
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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