Integrated People-Centred Care in Canada – Policies, Standards, and Implementation Tools to Improve Outcomes
Bibliographic record
Abstract
INTRODUCTION: (IPCHS) National Standard of Canada (NSC) has been developed to help close this gap. This manuscript outlines the policy context and the process taken to develop the IPCHS standard. DESCRIPTION: The IPCHS standard is built around 10 design principles with detailed, action-oriented criteria and guidance for policy makers and health system partners. The IPCHS standard was co-designed with a technical committee that included balanced representation of policy makers, health system decision-makers, Indigenous leaders, providers, patients, caregivers, and academics. Additional feedback was received from a diverse audience during two public review periods and targeted consultation via interviews. This qualitative feedback, combined with the evidence reviews completed by the technical committee, informed the final content of the IPCHS standard. DISCUSSION: The IPCHS standard was developed through a co-design process and complements existing frameworks by providing 66 detailed, action-oriented criteria, with specific guidance. The co-design process and consultations resulted in increased awareness and capacity among policy makers and health system partners. Supplementary tools are also in development to facilitate implementation and monitoring of progress and outcomes. This manuscript was developed in collaboration with technical committee members and HSO staff who led the targeted consultation and adoption of the IPCHS standard in six integrated care networks. CONCLUSION: Implementing integration strategies requires that we create and sustain a culture of continuous improvement and learning. Key lessons from the development process focused on the importance of co-design, embedding people-centred practices throughout the standard, formal yet iterative methodology inclusive of broad consultation, clear accountability for both policy makers and system partners, tools that support action and can be adapted to local context and level of integrated system maturity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.140 | 0.137 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.015 | 0.004 |
| Open science | 0.007 | 0.011 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".