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Enregistrement W4390939723 · doi:10.5334/ijic.icic23185

"Building More Connected Primary Care: Improving Connections between Primary Care and Community Care, Specialists and Hospitals for Timely and Appropriate Care"

2023· article· en· W4390939723 sur OpenAlexaffabout
Jocelyn Charles, Pauline Pariser

Notice bibliographique

RevueInternational Journal of Integrated Care · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueTelemedicine and Telehealth Implementation
Établissements canadiensUniversity Health NetworkHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésNursingMedicineTelemedicineHealth carePoint of carePrimary careShared careEquity (law)Medical homeFamily medicine

Résumé

récupéré en direct d'OpenAlex

Although strong, well connected primary care results in better health outcomes and health equity at a lower cost, most family physicians in Ontario, Canada are not supported by teams and have variable connections to other system sectors resulting in variable access and quality of care. A continuous relationship with a family physician and primary care team facilitates access to timely care, appropriate preventive care, reduced acute care utilization and costs, reduced mortality and more satisfied patients. This was further confirmed during the COVID 19 pandemic when patients who were attached to primary care teams had superior care for both COVID and non-COVID health issues. Together with patients, families, family physicians and all health care sectors, we co-created and evaluated efficient models of connecting family physicians to: specialists for just in time advice, virtual and in-person consults; to interprofessional teams tailored to the needs of their practices and to navigation services tailored to primary care. These models were co-designed with family physicians and continue to evolve based on their evolving needs: SCOPE (Seamless Care Optimizing the Patient Experience) connects primary care providers (PCPs) in the community to real-time supports through a single point of access, Co-designed with local PCPS, SCOPE improves access to an interprofessional team who can help with urgent medical consultations, diagnostic imaging, curated home and community care, mental health, and navigation of other services available in the hospital or in the community. TIP (Telemedicine IMPACT PLUS) TIP (Telemedicine IMPACT Plus) provides rapid access to case consultation by a virtual team of health care professionals to enable proactive health and social care for patients living with multi-morbidity. The case conference involves the patient/caregivers, family physician and TIP RN along with the consulting team that consists of: Psychiatrist, Internist, Pharmacist, Social Worker, Home Care Coordinator, Dietitian and others as required. The purpose of this consultation is to coordinate care and derive new solutions for addressing chronic conditions. A dedicated TIP nurse facilitator prepares the case, facilitates the consultation with one of 12 available teams, summarizes a coordinated care plan and coordinates the patient’s circle of care. Building interprofessional primary care teams based on family physician patient roster needs relies on nourishing foundational relationships with local PCPs to help identify gaps in care, engaging PCPS in continuous program improvement and developing partnerships with key stakeholders: leadership from the anchor hospital and their specialist groups, home and community care and community organizations. Joint implementation is based on the value proposition that all sectors win when care is appropriately triaged and managed in the community. When combined, connected and integrated into primary care practices, these initiatives build the Patient Medical Home, with the PCP at the centre of care, support to more effectively co-manage patients using existing resources more efficiently mapped to patient needs. These initiatives support relationship-based navigation, the underpinning of team-based primary care essential to improving system navigation for timely access to needs-based care. The target audience: patients, families, interprofessional primary care providers, specialists, home care and community providers, and hospitals.

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)0,004
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: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,030
Score d'incertitude au seuil0,060

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,009
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0020,001
Communication savante0,0020,002
Science ouverte0,0010,003
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,001

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 Opus0,023
Tête enseignante GPT0,339
Écart entre enseignants0,316 · 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
Publié2023
Routes d'admission2
Résumé présentoui

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