Incidence and outcomes of critical illness in Indigenous Peoples: a systematic review protocol
Bibliographic record
Abstract
Abstract Background Indigenous Peoples experience health inequities across the continuum of health services. Improvements for Indigenous patients and their families during vulnerable experiences with the healthcare system may have a significant impact on the patient experience and outcomes. Improved understanding of the occurrence of critical illness in Indigenous Peoples and their use of critical care services, as a strategic priority, may aid in the development of initiatives for improving health equity. A global focus was selected to learn from Indigenous populations’ experiences with critical care, as the understanding of critical illness among Indigenous Peoples in Canada is not well understood. This protocol outlines a systematic review focused on describing the incidence of critical illness and utilization of critical care services among Indigenous Peoples. Methods Ovid MEDLINE/PubMed, Ovid EMBASE, Google Scholar, and Cochrane Central Register of Controlled Trials will be searched. Relevant Canadian sites for gray literature (National Collaborating Centre for Indigenous Health, First Nations Health Authority, Canadian Institutes of Health Research Institute of Indigenous Peoples’ Health, National Association of Friendship Centres, the Alberta First Nations Information Governance Centre, Métis Nation of Alberta) will also be searched. We will include studies of adults (≥18 years) either without critical illness (i.e., general population) or with critical illness (i.e., admitted to an intensive care unit (ICU)). The exposure of interest will be Indigenous identity. Primary outcome measures are ICU admission and ICU mortality. Because heterogeneity in populations, comparisons, and outcome measures is anticipated, it is likely that the findings will be summarized using a narrative synthesis. A meta-analysis will be performed if there is sufficient evidence on one or more outcomes of interest. Discussion This systematic review will provide a better understanding of the epidemiology, risk factors, and outcomes of critical illness and utilization of critical care services among Indigenous Peoples. The knowledge generated will be applied to a broader program of work designed to create ethical space to co-design, implement, and evaluate a culturally competent, safe, and innovative model for critical care services for Indigenous People. Systematic review registration PROSPERO CRD42021254661
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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 | 0.069 | 0.075 |
| Meta-epidemiology (narrow) | 0.006 | 0.006 |
| Meta-epidemiology (broad) | 0.021 | 0.018 |
| Bibliometrics | 0.021 | 0.017 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.006 | 0.006 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.062 | 0.006 |
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".