The MGH2Home Program, a Seamless Journey from Hospital to Home
Notice bibliographique
Résumé
Overview: The MGH2Home program is a novel hospital-to-home initiative. MGH2Home brings together multiple community service agencies to create a single integrated care team empowered to create and adapt care plans directly with patients and their families with the goal of reducing hospital length of stay, preventing avoidable readmission, and improving the care experience for patients and providers. Community Served: An essential aspect of the program is its commitment to improving population health within East Toronto. The program targets adults designated as Alternate Level of Care in hospital who require ongoing health and social supports post-discharge with the added focus on determinants of health care planning. MGH2Home enables transitions of patients who would otherwise remain in the hospital. Program Design: Our program actively involves those who understand the community and patient needs. Caregiver and Community Advisory Group members participated in all program design sessions and helped identify barriers and innovative solutions, and they continue to contribute to our Program Steering Committee. MGH2Home leverages the expertise of the hospital and three home and community care services organizations to create a single integrated care team of diverse providers. Prior to discharge from the hospital, the team meets with patients and caregivers to develop a transition care plan encompassing medical, rehabilitation, and social care needs. This care plan follows them into the community and is responsive to changing patient needs. Regular huddles and connection to primary care providers ensure ongoing collaboration once patients are home. In a departure from the traditional home care fee-for-service model that rewards higher patient volumes, our program adopts a new way of working. Program staff are paid using a salary-based model, incentivizing care coordination activities traditionally not funded in a fee-for-service model. Our Successes thus far: In the first eight months of operation, the program has made a significant impact, serving 146 patients. Patients and their families have referred to the program as a "lifeline"during the challenging transition period from hospital to home. Preliminary program data suggests improved patient outcomes while simultaneously preserving much-needed hospital bed capacity. Our Learnings: Our experience underscores the importance of centralized health information records and communication tools for our multi-sectoral, multi-agency team. To support team cohesion, significant attention was required to align partner organizations with policies and procedures. Insights from our Caregiver and Community Advisory Groups highlighted the necessity for a centralized point of contact for patients and families. Consequently, we co-designed communication tools to enhance clarity for patients. To reduce silos between acute care and the community, a program supervisor is on-site in the hospital to create close connections between hospital and community teams. The program supervisor is equipped with data to support nimble decision-making and ensure a safe and timely transition from the hospital that matches the capacity of the community team of providers. Moving Forward: MGH2Home continues to mature, refining our program based on feedback from patients, families, and providers to ensure that MGH2Home remains a beacon of person-centred, seamless care that can be scaled broadly.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,003 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,027 | 0,004 |
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 ».