Building Primary Care Practices' Capacity and Capability for Integrated Health Service Delivery
Notice bibliographique
Résumé
Background: Amid health system reform calls, five provincial organizations launched initiatives to transform primary care and build practices' capacity and capability to respond to an increasingly complex healthcare environment and move towards an integrated system.Audience: This workshop is for leaders, managers, advisors, champions, and policy-makers of provincial groups and primary care organizations. Approach: This workshop demonstrates how to design and implement practice support initiatives building towards an integrated primary healthcare system. Five case studies will provide a roadmap for successful primary healthcare system capacity for integration that achieves the Quintuple Aim.Case study is Newfoundland and Labrador Family Practice Renewal Program MyQ Quality in Family Practice aimed at transforming family practice to achieve better health outcomes. The program aligned provincial partners to offer capacity-building diverse supports, including three integrated care demonstrations. Case study 2 is Nova Scotia Health Practice Support Program (PSP), aligning the Primary Health Care (PHC) and Chronic Disease Management Network to co-lead with other system partners to build a high-performing primary healthcare system towards a Health Home model within the Health Neighborhood. Case Study 3 is the New Brunswick Medical Society PSP, supporting the transformation of NB PHC system towards the Patient Medical Home. NBMS is using evidence-based approaches, leadership alignment, capacity building for practice facilitators and PHC teams, and leveraging existing system enablers such as EMRs and panel reports. Case study 4 is Alberta Palliser Primary Care Network Health Home Expedition for family physicians and interdisciplinary teams. The PCN supports member practices to implement a Health Home model of care using aligned leadership, team resources, and practice facilitation.Case study 5 is eHealth Centre for Excellence, a not-for-profit digital health organization that improves the quality of patient care through the effective and innovative use of enabling technologies, working with Canadian healthcare professionals to improve the use of digital health. Three pivotal elements for integrated care were leveraged in case studies: . Visible Leadership: Aligning and coordinating primary healthcare and provincial organizational leaders to establish a shared vision, transformation roadmap, and comprehensive indicators/measures for healthcare transformation.2. Capacity Building at provincial and practice levels: Focusing on building the health transformation workforce; designing and implementing practice support for primary healthcare teams through education, practice facilitation, tailored tools, and resources.3. System enablers: Providing essential infrastructure, policy supports, system-level data, and new funding/compensation models for interdisciplinary teams. This 90-minute interactive workshop, including participant workbooks, utilizes five case studies and guides participants through group discussions and activities leading to applied contextual learning. Session Structure:A. Introductions (0 minutes)B. Focus on visible leadership and partnership alignment (20 minutes)C. Focus on capacity building (20 minutes)D. Focus on system enablers (5 minutes)E. Facilitated table sharing of observations and insights (5 minutes)F. Closing, key messages and a summary of practical tools (0 minutes)How are you going to engage with the audience?*Audience engagement will be achieved through: . Facilitated table sharing and breakout discussions to enable participants to engage more directly with the topics, their peers, and the presenters.2. Interactive Polling (e.g. Mentimeter) to gather and display real-time feedback and opinions from participants. 3. Q&A sessions embedded throughout the workshop. Outcomes: How are you going to summarize the take-home messages?*As part of the session wrap-up, presenters will: . summarize key points and highlight core messages and visuals on a slide. 2. highlight practical applications and a concise set of actionable takeaways.3. provide visual aids, e.g. infographics, and summary tables.4. provide handouts in electronic and print format.
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 | 0,028 | 0,043 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,007 | 0,010 |
| Communication savante | 0,010 | 0,007 |
| Science ouverte | 0,003 | 0,026 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,002 |
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 ».