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Indigenous Diabetic Foot-Related Lower Extremity Amputations: Integrating Traditional Indigenous and Western Health Models for Improved Outcomes

2023· editorial· en· W4317567229 on OpenAlexaboutno aff
Rachel Asiniwasis, A. Blair Stonechild, Douglas Queen, R. Gary Sibbald

Bibliographic record

VenueAdvances in Skin & Wound Care · 2023
Typeeditorial
Languageen
FieldMedicine
TopicDiabetic Foot Ulcer Assessment and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineIndigenousHealth careDiabetic footPopulationFamily medicineDiabetes mellitusGerontologyNursingEnvironmental healthEconomic growth

Abstract

fetched live from OpenAlex

Many Indigenous peoples worldwide face health inequities, poor healthcare access, and culturally discontinuous health services.1 This legacy stems from colonialism and racism, including the systematic suppression of traditional Indigenous health knowledge and healing practices.2 In 2015, the Truth and Reconciliation Commission of Canada3 detailed the urgent need for full healthcare rights for Canadian Indigenous Peoples (CIP) encompassing the elimination of disparities; removing racist processes from the health sector; and integrating traditional knowledge, therapies, and healing practices. Age- and sex-adjusted prevalence studies demonstrate strikingly disproportionate rates of diabetes mellitus and diabetic morbidities among Indigenous populations internationally (including CIP).4–6 This includes a high incidence of diabetes-related major lower extremity amputations (LEAs).4–8 Risk factors include peripheral vascular disease, neuropathy, end-stage renal disease, and foot and ankle deformities. Those CIP living on reserves also have a higher incidence of foot ulcers and shorter times to major LEA.7–10 The LEAs among CIP may be up to 16 times more frequent than in the general population.6 Diabetic foot complications create numerous burdens on healthcare systems, such as frequent outpatient visits, hospitalizations, ED visits, and medical transport for patients requiring specialty care. Unmet needs include limited access to primary health and specialist care; inadequate home care; incomplete resource infrastructure, such as the lack of clean running water in homes;5 and language, and knowledge, and transportation barriers. Serious calls to action include adequate funding for interprofessional programs focusing on improved preventive care and proactive practices to reduce morbidity and cost of care.5–7 Key program elements are patient education, improved glycemic control, healthy nutrition, and access to foot care and screening. The delivery models could include nursing-led education and on-site or traveling preventive foot screenings.7,8 Access to vascular assessment and revascularization must be integrated into regional amputation prevention efforts for all individuals with diabetes, especially within the Indigenous population.11 Despite available solutions, the siloed approaches to prevention and management often taken in mainstream and Westernized health models risk continued poor outcomes among CIP, who have historically perceived and addressed health in their own traditional ways. A predominantly biomedical approach to health fails to address the myriad needs in an integrated and holistic matter.12 There is a need for Indigenous and general health model coinclusion, with Indigenous engagement and empowerment reflecting realities of what is now clearly understood as a complex and dynamic interplay of social, political, historical, cultural, environmental, economic, and other forces. Ultimately, health indicators must be Indigenous-specific and community-driven for health planning and action and must account for Indigenous peoples’ holistic worldviews, histories, and resources. Traditional health, viewed in a balanced and holistic way, not only connects physical, mental, and psychosocial dimensions, but also emphasizes spiritual aspects and interconnectedness. Healing specialists, Knowledge Keepers, and Elders who understand Indigenous cultural worldviews and determinants of health are increasingly needed in medical partnerships, decision-making processes, and wound-related patient care. Disjointed approaches13 and limited access to care14–16 remain in many regions of North America, with the largest burdens present in northern and remote Canadian Indigenous communities. Approaches to reduce amputations and address diabetic morbidities need to be tailored to regional circumstances.17 Novel approaches include the microcredential courses at Sault Ste Marie College, Ontario, Canada. These interactive, interprofessional educational sessions include both the Indigenous community and healthcare stakeholders. The content is focused on skin and wound care in persons with diabetes and the need to service remote and northern populations. This project may serve as a launch point for future focus groups and education linked to improved interprofessional support for diabetic foot care and reduced amputations in Canada. There is a need to equitably save the limbs and lives of Indigenous persons with diabetes worldwide. References are available as supplemental digital content at https://links.lww.com/NSW/A#. Rachel Asiniwasis, MD, MS(HS), FRCPC, FAADA. Blair Stonechild, PhD, Professor and Knowledge Keeper ElderDouglas Queen, PhD, MBAR. Gary Sibbald, MD, MEd, FRCPC, FAAD, JM

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.017
GPT teacher head0.323
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

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".

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Citations3
Published2023
Admission routes1
Has abstractyes

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