Addressing rural and Indigenous health inequities in Canada through socially accountable health partnerships
Bibliographic record
Abstract
Background There are few examples of the practical application of the concepts of social accountability, as defined by the World Bank and WHO, to health system change. This paper describes a robust approach led by First Nations Health Authority and the Rural Coordination Centre of British Columbia. This was achieved using partnerships in British Columbia, Canada, where the health system features inequities in service and outcomes for rural and Indigenous populations. Social accountability is achieved when all stakeholders come together simultaneously as partners and agree on a path forward. This approach has enabled socially accountable healthcare, effecting change in the healthcare system by addressing the needs of the population. Innovation Our innovative approach uses social accountability engagement to counteract persistent health inequities. This involves an adaptation of the Boelen Health Partnership model (policymakers, health administrators, health professionals, academics and community members) extended by addition of linked sectors (eg, industry and not-for-profits) to the ‘ Partnership Pentagram Plus ’. We used appreciative inquiry and deliberative dialogue focused on the rural scale and integrating Indigenous ways of knowing along with western scientific traditions (‘two-eyed seeing’). Using this approach, partners are brought together to identify common interests and direction as a learning community. Equitable engagement and provision of space as ‘peers’ and ‘partners’ were key to this process. Groups with varying perspectives came together to create solutions, building on existing strengths and new collaborative approaches to address specific issues in the community and health services delivery. A resulting provincial table reflecting the Pentagram Plus model has fostered policies and practices over the last 3 years that have resulted in meaningful collaborations for health service change. Conclusion This paper presents the application of the ‘ Partnership Pentagram Plus ’ approach and uses appreciative inquiry and deliberative dialogue to bring about practical and positive change to rural and Indigenous communities.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".