Notice bibliographique
Résumé
Background: The Couchiching Ontario Health Team (OHT) partnership has spearheaded a significant system change to advance innovative and highly integrated population healthcare for unattached patients within our community. By addressing the needs of 20% of these individuals, the partnership has pioneered a novel care delivery method, marking an unprecedented achievement in our region's healthcare landscape.LearningsThe insights gained from our innovative model are intended to be shared broadly with patients, healthcare providers, and system innovators to enhance overall care delivery. These learnings underscore the importance of adapting new models to meet emerging healthcare needs.Partners InvolvedThe success of the Couchiching OHT Unattached Patient Care Model was bolstered by extensive support from a diverse array of partners. This collaborative effort included patient and family advisors, primary care providers, the Family Health Team, the Nurse Practitioner Led Clinic, emergency physicians and emergency department team members, hospitalists, community nurse practitioners, Ontario Health, municipal partners, local shelter partners, local universities, and the Orillia Soldiers' Memorial Hospital (OSMH).The InitiativeThe Couchiching OHT demonstrated remarkable passion and collaboration to transform COVID-9 care delivery into a more comprehensive healthcare innovation for unattached patients. Leveraging the robust centralized infrastructure established for the COVID-9 community response, the Couchiching OHT rebranded their efforts as the COHT Care Clinic. This clinic provided episodic primary care and served as an emergency room diversion, despite facing challenges related to healthcare human resources and provincial funding constraints.ResultsThe COHT Care Clinic has been recognized as a provincial model for episodic care for unattached patients, aligning with Ontario mandate to provide universal access to healthcare. Acknowledging the shortage of primary care providers in our community, the team developed a model that ensures access to care for all residents. This model triages patients for attachment based on acuity rather than a first-come, first-served basis from a central list. The effectiveness and dedication demonstrated by this model led to the successful funding proposal for the expansion of two primary care hubs in our community.LearningOur experience has yielded numerous valuable insights:Unattached care models are relatively new and challenging to implement, necessitating innovative approaches.Fee models in Ontario support various care delivery services; hence, partnership and integration across different teams are crucial for success.Understanding local care options and identifying gaps is vital for utilizing an unattached care pathway. This ensures that all patients experience warm transfers between care settings throughout their healthcare journey.Next StepsMoving forward, we will continue to seek opportunities to solidify unattached patient care pathways. Our goal is to ensure that the entire community retains access to care and to prioritize patient attachment based on acuity and equity-driven approaches rather than traditional first-come, first-served methods. By doing so, we aim to establish a more equitable and efficient system for patient rostering with clinicians, ensuring that all individuals receive the care they need in a timely manner.
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 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 | 0,030 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,021 | 0,045 |
| Communication savante | 0,018 | 0,011 |
| Science ouverte | 0,008 | 0,033 |
| Intégrité de la recherche | 0,010 | 0,021 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,003 |
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 ».