Trends in Inuit health services utilisation in Manitoba: findings from the<i>Qanuinngitsiarutiksait</i>study
Bibliographic record
Abstract
There is a notable lack of research related to trends in Inuit accessing health services throughout the land known as Canada. Given Nunavut’s reliance on specialised services provided in the Northwest Territories, Alberta, Manitoba, and Ontario, this gap is particularly problematic, making it more difficult for Nunangat to proactively plan new programs for emerging needs, and for provinces to respond to those needs. The Qanuinngitsiarutiksait study aimed to address this gap by developing detailed profiles of Inuit accessing health services in Manitoba. We used administrative data routinely collected by Manitoba agencies, to support the development of Inuit-centric services. It was conducted in partnership with the Manitoba Inuit Association, and Inuit Elders from Nunavut Canada and Manitoba. We focused on two interrelated cohorts: Kivallirmiut (Inuit from the Kivalliq region of Nunavut) who come to Winnipeg to access specialised services; and Manitobamiut (Inuit already living in Manitoba). Findings show that health services are primarily accessed in Winnipeg. Half of health services accessed by Kivallirmiut are for in-patient care at facilities with the Winnipeg Regional Health Authority. The other half are for advanced out-patient care including specialist consults. For Kivallirmiut, hospitalisation for pregnancy and birth are the most prevalent reasons for hospitalisation, followed by diseases of the respiratory system. Noteworthy, rates of hospitalisation for conditions treatable in primary healthcare for Kivallirmiut are considerably lower than those for Manitobans living in the northern part of the province (where comparable constraints exist). For Inuit adults, rates of hospitalisation for these conditions are comparable to those of Manitobans living in small communities. Inuit living in Manitoba are most often hospitalised for mental health reasons, although other reasons are nearly as prevalent. Our results support the need for more Inuit-centric health programming in Winnipeg.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".