Developing a Health Equity Impact Assessment ‘Indigenous Lens Tool’ to address challenges in providing equitable cancer screening for indigenous peoples
Bibliographic record
Abstract
BACKGROUND: In spite of past efforts to increase screening uptake, the rates of screening-detectable cancers including breast, cervical, colorectal and lung are rising among Indigenous persons in Ontario compared to other Ontarians. The Ontario Ministry of Health has an equity framework, the Health Equity Impact Assessment (HEIA) Tool, that was developed to guide organizations in the provision of more equitable health and social services. Although the HEIA Tool identifies that the health of Indigenous persons may benefit from more equitable provision of health and social services, it provides very little specific guidance on how to apply the HEIA Tool in a culturally relevant way to policies and programs that may impact Indigenous peoples. DISCUSSION: Guided by the Calls to Action from the Truth and Reconciliation Commission of Canada and the United Nations Declaration on the Rights of Indigenous Peoples, an Indigenous Lens Tool was developed through a collaborative and iterative process with stakeholders at Cancer Care Ontario and with representatives from Indigenous community-based organizations. The Indigenous Lens Tool consists of four scenarios, with supporting documentation that provide context for each step of the HEIA Tool and thereby facilitate application of the equity framework to programs and policies. The document is in no way meant to be comprehensive or representative of the diverse health care experiences of Indigenous peoples living in Canada nor the social determinants that surround health and well-being of Indigenous peoples living in Canada. Rather, this document provides a first step to support development of policies and programs that recognize and uphold the rights to health and well-being of Indigenous peoples living in Canada. CONCLUSIONS: The Indigenous Lens Tool was created to facilitate implementation of an existing health equity framework within Cancer Care Ontario (now Ontario Health). Even though the Indigenous Lens Tool was created for this purpose, the principles contained within it are translatable to other health and social service policy applications.
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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 | 0.099 | 0.121 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.010 | 0.006 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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.
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".