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Record W4413365746 · doi:10.5334/ijic.nacic24213

Building Primary Care Practices' Capacity and Capability for Integrated Health Service Delivery

2025· article· en· W4413365746 on OpenAlexaboutno aff
Arvelle Balon-Lyon, Alexandra Salekeen, Mark Watt, Brad Bahler, Treena Klassen, Tricia Wilkerson, Paula Hanrahan, Bruno De Passillé, Lindsay E. Cormier

Bibliographic record

VenueInternational Journal of Integrated Care · 2025
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsIntegrated careService delivery frameworkPrimary careProcess managementBusinessNursingService (business)Health careMedicineFamily medicineMarketingPolitical science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.043
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0070.010
Scholarly communication0.0100.007
Open science0.0030.026
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.002

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.051
GPT teacher head0.435
Teacher spread0.384 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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