Health for All: Promoting health equity across a regional health authority
Bibliographic record
Abstract
The concept of health equity has gained momentum yet it has not resulted in significant and concrete public health action in Canada. People living in some areas of Winnipeg, Canada have nearly 19 years lower life expectancy than people living in other parts of the city. This requires a public health response. Health for All is the integrated approach (not a stand-alone project or program) to weave health equity action into all decision-making and service provision to the Winnipeg Regional Health Authority (WRHA). The WRHA is responsible for providing universal publically funded healthcare to more than 700,000 people. WRHA’s Public Health team provides leadership to the health authority efforts. The long term (30 + years) goal is to embed equity action in all decision-making and eliminate health inequity. The actions needed do not lie solely within the healthcare sector and involve engaging with community actors to work together on solutions. The WRHA released a position statement (2012) and committed to ensuring health equity actions are embedded in the provision of all health care services and facilitating partnerships to amplify health equity action within and beyond the health sector. In 2013, Health for All: Building Winnipeg’s Health Equity Action Plan was released to build common understanding of health gaps and describe potential areas of action. A Population Health Equity Initiatives Leader was hired in 2014. As of 2015, a region-wide committee contributes strategic leadership with three working groups supporting activities. Additional efforts include engaging senior leadership to include equity within the organization’s strategic plan and into other key priorities (e.g., patient flow, quality and accreditation). Health leadership, community engagement and intersectoral partnership have supported incremental change within the health authority. A long term vision and commitment is required to improve health equity outcomes. This requires an innovative public health response in order and create opportunities that will address systemic and structural barriers to equity-centered care. Key messages Health for All is the integrated approach to weave health equity action into all decision-making and service provision to the Winnipeg Regional Health Authority A long term vision and commitment to incremental change is required to improve health equity outcomes
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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 | 0.021 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.004 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.029 | 0.004 |
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".