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Enregistrement W4413358131 · doi:10.5334/ijic.nacic24059

East Toronto Health Partners, working in unison: Integrating care for chronic disease management

2025· article· en· W4413358131 sur OpenAlexaboutno aff
Rishma Pradhan, Kasia Bruski, Emily Doxtator, Catherine Yu, Karen Chu, Ian Fraser, Tyler Hynes, Anne Wojtak, T S Murray, Jeff Powis

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiquePrimary Care and Health Outcomes
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUnisonDisease managementHealth careMedicineNursingChronic diseaseHealth management systemFamily medicineAlternative medicinePolitical science

Résumé

récupéré en direct d'OpenAlex

Background: East Toronto Health Partners (ETHP) is one of 2 Ontario Health Teams selected to advance integrated care in Ontario. In 2024/25 we will be implementing integrated care pathways for three chronic diseases - chronic obstructive pulmonary disease, congestive heart failure, and diabetes (lower limb preservation). Through extensive provider, partner, and community engagement we co-designed a model reflecting our ideal future state. Approach: From November 2023 to May 2024, we completed a rapid planning and co-design process using an iterative, agile approach rooted in deep engagement. Key success factors included:. Meaningful Co-Design and Needs Identification with over 50 people through different methodologies, including: Patient and caregiver (people) partnership in all engagement forums, featuring individuals with relevant lived experience. People journey mapping and needs assessments to obtain consensus on the needs of providers, patients, and caregivers Partner asset mapping (programs and services) Iterative pathway design with diverse representation, including primary care, specialists, community agencies, hospital staff, rehabilitation, home care, patients, and caregivers. Governance through a multi-sectoral advisory committee. Engagement with Community Advisory Councils, Caregiver Groups, and neighbourhood Resident Committees 2. Co-Designing clear objectives and impact statements, anchored in the Quintuple Aim. 3. Co-Creating design principles to guide our decisions and revisiting these principles regularly to resolve emerging tensions. 4. Iterative co-design sessions to build the model of care and pathwaysLevel : What are we doing? (specifying objectives) Level 2: Who does what? (clarifying interactions) Level 3: How? (detailing processes) 5. Leveraging evaluation expertise and implementation science, including embedding evaluation scientists to ground the planning and design process in research and evidence, including performance measurement metrics, rapid cycle improvement and implementation science. 6. Mapping existing programs and services across partner organizations and transforming these assets into a navigational tool using PowerBI. 7. Building the ideal future state, together using extensive engagement and co-design. Emphasizing evidence-based patient-centred care across sectoral, organizational, and professional boundaries while embedding self-management, addressing social determinants of health and health equity. Results: Together we achieved consensus on a future state population-level model of integrated care for chronic disease management. The model is scalable to include different diseases including co-morbidities and includes several key features. Low Barrier Eligibility: No requirement for provincial health insurance or having a primary care provider. Multiple access and referral points: Ensuring no wrong doors. Dispersed neighborhood accessibility: Bringing care closer to communities. Concerted intake and service connection support: Guiding individuals through the care journey. Comprehensive and holistic assessments: Covering clinical, social, mental health, and co-morbidity aspects. Personalized care planning: Tailoring care to individual needs and goals. Evidence-Based clinical guidance: Standardizing care delivery based on evidence and proven practices. Case and care management: Provided by clinically trained resources who coordinate with the care team. Medication management: Clear support for medications to obtain desired outcomes. Ongoing follow-up and monitoring: Ensuring continuity and effectiveness of care. Care team rounding support: Facilitating collaboration and communication within the care team. Embedded self-management and education: At every step of the pathway. Digital enablers: Supporting team-based care planning and service connections through digital tools. Implications: Our learnings emphasize the necessity of broad engagement and input in designing population-level care models to first develop an ideal future state which can be used to align vision, ensure scalability and future-proof our efforts. The management of chronic diseases is complex, and designing isolated pathways without broad participation only further adds to system fragmentation.Moving forward, we will focus on implementing our first pathway. Our objective is to continuously iterate, improve, and scale implementation grounded in rigorous evaluation. Initial outcomes will be shared at the NACIC24 conference.

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)0,010
score de la tête « metaresearch » (Gemma)0,009
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,269
Score d'incertitude au seuil0,541

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0100,009
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0090,004
Communication savante0,0060,003
Science ouverte0,0010,007
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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 Opus0,040
Tête enseignante GPT0,458
Écart entre enseignants0,418 · 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'étudeObservationnel
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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