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Enregistrement W4413365800 · doi:10.5334/ijic.nacic24104

Journey to Health Transformation: Partnership to advance needs-based, person-centered primary and acute care services

2025· article· en· W4413365800 sur OpenAlexaffabout
Madonna Macdonald, Annette Elliott Rose, Vanessa Chouinard, Nicole Boutilier, Niall D. Whelan, Lynn Edwards

Notice bibliographique

RevueInternational Journal of Integrated Care · 2025
Typearticle
Langueen
DomaineHealth Professions
ThématiquePrimary Care and Health Outcomes
Établissements canadiensNova Scotia Health Authority
Organismes subventionnairesnon disponible
Mots-clésGeneral partnershipPrimary careIntegrated careNursingAcute careMedicineHealth carePrimary health careBusinessFamily medicinePolitical science

Résumé

récupéré en direct d'OpenAlex

Background: Access to care is top of mind for everyone. Nova Scotia, a province in eastern Canada is on an expedited journey to world-class health care. Informed by the provincial health strategy, Action for Health, partners across the province, including community are changing primary health care and hospital services. Approach: Transformation examples in primary health care and hospital services focused on person-centered approaches grounded in community partnerships and assets, quality and safety, analytical and experiential information, and health equity will be shared. Focus is on the health needs of people across the lifespan aligned with the knowledge and competencies of collaborative health teams and the use of technology, process improvements and innovation. For hospital services, we are improving patient journeys from admission to discharge with the introduction of a provincial quality collaborative involving interprofessional teams 24/7 along with codesigning a discharge hub. Along with our care coordination centre, these interventions foster further action and accountability across government departments and with community organizations and services to get people back to the place they call home. In primary health care, we are building team-based models where everyone works to full scope and people needs are matched to the best provider. The teams create collaborative primary health care homes situated within health neighbourhoods, so people have coordinated health and social services. This is all situated within widespread commitment to standardized operational excellence and strategic approaches to health workforce and service planning. To support the significant change across the system, we launched a Leadership Academy and Transformation certification to support the development of leaders. Clinicians, researchers, and leaders across the health system engaged with patients and the public to inform this work through a health system wide public engagement campaign to inform health transformation. Community Health Boards are working with communities to identify health priorities and the public is engaged in local design, implementation and evaluation of health initiatives. Results: Patient and clinician stories of success as well as health needs data, workforce data and process and outcome measures will be shared. For hospital services, we added inpatient capacity comparable to adding 70 extra beds per year, increased access to care with 28,000 more DI appointments compared to 209-20; 8,000 more CT scans; 8500 more ultrasounds. With increased bed availability, on average we provided inpatient services for ~20 patients more per day compared to last year and reduced transfer time from the ED to inpatient units by 50%. For primary health care, more than 8,000 patients were attached to a primary care provider in the last year; 8% increase in primary care appointments; 5,000 mobile clinic visits; 95,000 pharmacy clinic visits; 48,000 virtual care appointments and the introduction of a health care navigation app with more than 250,000 downloads to date. Positive feedback from Nova Scotians who have used the multiple primary health care options. Implications: Important learning on multiple, simultaneous, coordinated actions to close the gap in the health workforce and to provide the public with options for clinical services matched to their needs. It is important have quality data, design and feedback processes for public engagement and the need to support health leaders as change agents as well as the utility of technology as an option for health services. The work requires a commitment to system and service partnership, a spirit of possibility, perseverance and the space for teams to learn, fail, adapt and scale innovation. Next steps are to continue with the roll out of success across the health system, continue to learn from patients, families, communities, clinicians and continue to evaluate interventions individually and as they connect for system transformation.

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)0,014
score de la tête « metaresearch » (Gemma)0,015
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: Sans objet
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,057
Score d'incertitude au seuil0,120

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,015
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0120,007
Communication savante0,0100,006
Science ouverte0,0030,037
Intégrité de la recherche0,0050,014
Charge utile insuffisante (le modèle a refusé de juger)0,0300,009

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 Opus0,044
Tête enseignante GPT0,422
Écart entre enseignants0,378 · 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
GenreAutre

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'admission2
Résumé présentoui

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