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Record W1525490376

Evaluation of Cultural Competency in Type 2 Diabetes Mellitus (T2DM) Intervention Programs in Saskatoon for Saskatchewan Métis

2015· article· en· W1525490376 on OpenAlexaboutno aff
Boabang Owusu

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsType 2 Diabetes MellitusIntervention (counseling)MedicineGerontologyDiabetes mellitusNursing
DOInot available

Abstract

fetched live from OpenAlex

Métis people in Canada experience Type 2 Diabetes Mellitus (T2DM) at a rate that is substantially higher than the general Canadian population, and therefore require medical and public healthcare for diabetes complications. Despite a growing literature examining Aboriginal health, little is known about how diabetes healthcare interventions are being delivered to the Métis in Canada. Culturally competent medical and public health interventions, those that are sensitive to the culture, history and the beliefs people hold, are known to produce better patient outcomes. These interventions are also known to deliver greater patient satisfaction, and may reduce existing health inequities. This thesis explores the extent to which community-level diabetes healthcare interventions in Saskatoon are being delivered to the Métis people in a manner that is appropriate and sensitive to their culture. Data were collected using semi-structured in-depth interviews with seven Métis participants living with diabetes. Structured in-depth interviews were conducted with one key informant from Central Urban Métis Federation Inc. (CUMFI), and five healthcare practitioners tasked with providing T2DM interventions. Observations and documentary materials were used to supplement the interview data for the study. The study identified two main community-level diabetes healthcare interventions in Saskatoon with a series of activities organized under them. Although the study found no Métis specific T2DM healthcare intervention, participants identified that Métis cultural activities such as jigging and community gardening were incorporated into some of the interventions. However, language, Métis traditional foods, and traditional approaches to teaching were not incorporated into these programs. These omissions, coupled with barriers such as limited spatial accessibility, lack of funding and community poverty have repercussions on participation levels, participant retention and health outcomes for participants living with diabetes. Respondents are less inclined to participate if interventions are generic (non-Métis specific), which are considered less satisfactory. In turn, this may affect the sustainability of the healthcare program resulting in poor health outcomes. In this way the Métis continue to struggle with these community-level diabetes healthcare intervention programs. This study supports the need for Métis-specific community-level diabetes healthcare interventions as a means of improving health outcomes for the fight against T2DM among Métis people.

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)0.005
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.334
Threshold uncertainty score0.672

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0020.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.051
GPT teacher head0.265
Teacher spread0.214 · 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 designObservational
Domainnot available
GenreEmpirical

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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Citations0
Published2015
Admission routes1
Has abstractno

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