Patient and caregiver perspectives of health provision practices for First Nations and Métis women with gestational diabetes mellitus accessing care in Winnipeg, Manitoba
Bibliographic record
Abstract
BACKGROUND: More North American Indigenous women are diagnosed with gestational diabetes mellitus (GDM) than the general population. Despite the number of health problems associated with GDM, few studies have been conducted that explore Indigenous women's understandings of GDM in an effort to develop appropriate and effective health strategies. METHODS: A qualitative investigation was conducted to describe the experiences of First Nations and Métis women with GDM. Unstructured interviews and focus groups initially took place with 25 advisors such as maternal care providers and community representatives. Semi-structured explanatory model interviews were subsequently carried out with 29 First Nations and Métis women in Winnipeg, Manitoba, Canada. RESULTS: Divisions in health services, communication and cultural barriers exist, and limit prenatal care access as well as the consistent interpretation of diabetes education messages. CONCLUSIONS: Collectively the results suggest living with GDM can be overwhelming and underscore the need for health care providers to encourage self-efficacy towards effective management practices in the context of cultural safety.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".