Influence of revised public health standards on health equity action: a qualitative study in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: In 2008, a revised set of public health standards was released in the province of Ontario, Canada. The updated Ontario Public Health Standards (OPHS) introduced a new policy mandate that required local public health units (PHUs) to identify "priority populations" for public health programs and services. The aim of this study was to understand how this Priority Populations Mandate (PPM) facilitated or hindered action on health equity or the social determinants of health through PHUs in Ontario. METHODS: This study used two sets of qualitative data that were part of a larger study. The first set of data was 16 semi-structured key informant interviews with policymakers involved in developing the OPHS and public health practitioners. The second set of data was the qualitative component of a role-based survey sent out to all the 36 PHUs in Ontario. Thematic content analysis was conducted to iteratively develop themes to answer the research question. RESULTS: We identified six factors that both facilitated and hindered action on health equity and social determinants of health action in the province resulting from the OPHS and PPM. These six factors were grouped into three categories or themes: OPHS policy attributes (1. introducing new terminology, 2. allowing flexibility in implementation and 3. ensuring evidence-informed decision-making), health sector context into which the PPM was introduced (4. different understandings of health equity and 5. variability in existing partnerships) and implementation by PHUs (6. requirement to address the PPM). CONCLUSIONS: Although the revised OPHS and the PPM facilitated action on health equity and the social determinants of health, on the whole, this objective could have been better met. The mandate within the OPHS could have been strengthened with respect to promoting action on health equity and the social determinants of health through more clearly defined terminology, conveying a guiding health equity vision and uniting different PHU approaches to addressing health equity.
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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 | 0.014 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.029 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".