"No place like home: impact of the House Calls model on ED visits, hospitalizations and time in the community"
Notice bibliographique
Résumé
Home-based primary care in Canada is currently greatly under-powered, despite an aging population, an increasing proportion of homebound older adults,1 and 100% of Canadians hoping to age at home.2 Homebound older adults in Canada have increased comorbidities, medications and mental diagnoses compared to their non-homebound peers.3,4 They have difficulty accessing office-based care due to a combination of physical, mental and social frailty, resulting in higher emergency department (ED) visits and hospitalization rates.4 Our team, House Calls, reaches homebound adults with further identities that may impact equitable care, including racialized older adults, newcomers, those with English as a second language, adults with disabilities and the precariously housed. House Calls is a unique not-for-profit home-based primary care team in Toronto, Canada. It was founded in 2007 through consultation with local older adults, caregivers and service providers identifying the type of services that mattered most to their care. It was further developed in collaboration with local community partners. The team is a health worker-led multidisciplinary team, with physicians, nurse practitioners, occupational therapists, physiotherapists, social workers and administrators working together in a horizontal, trust-rooted leadership structure. Through regular intra-team consultation and annual patient/caregiver surveys, the team evolves its operational structure responsively to patient and community needs. The goal of House Calls is to help homebound older adults age and die in place, through a three-pronged program: geriatric-focused interdisciplinary primary care, urgent care support and home-based palliative care. We designed a retrospective cohort study to assess rates of hospitalization, ED visits and time spent in the community for House Calls patients from January 1, 2015 to January 1, 2022, when compared to similarly frail, homebound older adults in the same geographic areas. The study will also measure House Calls program implementation, through rates of interprofessional and urgent care visits. Study results are pending. We hypothesize that this home-based primary care model results in reduced ED visits and hospitalizations, and more successful aging at home as measured by time spent in the community. Through the description of this program and its evaluation, we hope to contribute valuable, evidence-based knowledge to inform the care of older adults, in a challenging international climate of aging populations, limited research and often stigma-based funding challenges. We hope to use our results to improve the quality of care offered at House Calls, and inform wider implementation of similarly structured home-based primary care teams. References Lapointe-Shaw L, Jones A, Ivers NM, Rahim A, Babe G, Stall NM, Sinha SK, & Costa AP. Homebound status among older adult home care recipients in Ontario, Canada. J Am Geriatr Soc 2022; 70(2):568–578. Sinha, S.,Nolan, M. Bringing long-term care home. NIA. Nov 2020. Qiu, W. Q., Dean, M., Liu, T., George, L., Gann, M., Cohen, J. Bruce, M. L. Physical and mental health of homebound older adults: an overlooked population. J Am Geriatr Soc 2010; 58(12):2423–2428. Musich, S., Wang, S. S., Hawkins, K., Yeh, C. S. Homebound older adults: Prevalence, characteristics, health care utilization and quality of care. Geriatr Nurs. 2015; 36(6):445–450.
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Comment cette classification a été obtenuedéplier
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 | 0,003 | 0,017 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,001 |
| Communication savante | 0,004 | 0,003 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,001 |
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.
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 ».