Exploring the Lived Experience of Self-management Practices of Indigenous Men, Women and Two-spirited Individuals Living With Type 2 Diabetes in Canada, the United States, Australia, and New Zealand: A Scoping Review
Bibliographic record
Abstract
OBJECTIVES: Indigenous men, women and two-spirted individuals have been significantly impacted by type 2 diabetes mellitus (T2DM) and its complications. It is believed that T2DM in Indigenous peoples is a direct result of colonization and the introduction of changes to traditional Indigenous ways of knowing, being, and living. The broader question will guide the aim of this scoping review: What is currently known about the lived experience of self-managing diabetes in Indigenous men, women, and two-spirited individuals living with T2DM in Canada, the United States, Australia and New Zealand? Specific objectives of this scoping review include 1) exploring the lived experience of self-management practices of Indigenous men, women, and two-spirited individuals living with T2DM; and 2) describing how self-management experiences differ from physical, emotional, mental, and spiritual perspectives. METHODS: A total of 6 databases were searched, including Ovid MEDLINE, Embase, PsychINFO, CINAHL, Cochrane, and the Native Health Database. An example of keywords searched included "self-management," "Indigenous," and "type 2 diabetes mellitus." A total of 37 articles were included in the synthesis of results, and the 4 quadrants of the Medicine Wheel were used to organize and interpret data. RESULTS: The use of culture within self-management practices was important for Indigenous peoples. Demographic data were collected for many of the studies, including sex and gender characteristics, but only a small number of studies addressed the influence of sex and gender on outcomes. CONCLUSION: Our findings inform future Indigenous diabetes education and health-care service delivery and future research.
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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 | 0.008 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.009 | 0.014 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 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".