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Record W3134697655 · doi:10.1177/2054358121996835

Barriers to Accessing Kidney Transplantation Among Populations Marginalized by Race and Ethnicity in Canada: A Scoping Review Part 1—Indigenous Communities in Canada

2021· review· en· W3134697655 on OpenAlexafffundabout
Noor El‐Dassouki, Dorothy Wong, Deanna Toews, Jagbir Gill, Beth Edwards, Ani Orchanian‐Cheff, Mary Smith, Paula Neves, Lydia-Joi Marshall, István Mucsi

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2021
Typereview
Languageen
FieldMedicine
TopicRenal Transplantation Outcomes and Treatments
Canadian institutionsCentre for Advancing Health OutcomesToronto General HospitalQueen's UniversityUniversity of British ColumbiaUniversity Health Network
FundersHealth Canada
KeywordsIndigenousMedicineCINAHLEthnic groupTransplantationHealth careSystematic reviewKidney transplantationMEDLINEGerontologyPsychological interventionPolitical scienceNursingLawInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Kidney transplantation (KT), a treatment option for end-stage kidney disease (ESKD), is associated with longer survival and improved quality of life compared with dialysis. Inequities in access to KT, and specifically, living donor kidney transplantation (LDKT), have been documented in Canada along various demographic dimensions. In this article, we review existing evidence about inequitable access and barriers to KT and LDKT for patients from Indigenous communities in Canada. OBJECTIVE: To characterize the current state of literature on access to KT and LDKT among Indigenous communities in Canada and to answer the research question, "what factors may influence inequitable access to KT among Indigenous communities in Canada." ELIGIBILITY CRITERIA: Databases and gray literature were searched in June and November 2020 for full-text original research articles or gray literature resources addressing KT access or barriers in Indigenous communities in Canada. A total of 26 articles were analyzed thematically. SOURCES OF EVIDENCE: Gray literature and CINAHL, OVID Medline, OVID Embase, and Cochrane databases. CHARTING METHODS: Literature characteristics were recorded and findings which described rates of and factors that influence access to KT were summarized in a narrative account. Key themes were subsequently identified and synthesized thematically in the review. RESULTS: Indigenous communities in Canada experience various barriers in accessing culturally safe medical information and care, resulting in inequitable access to KT. Barriers include insufficient incorporation of Indigenous ways of knowing and being in information dissemination and care for ESKD and KT, spiritual concerns, health beliefs, logistical hurdles to accessing care, and systemic mistrust resulting from colonialism and systemic racism. LIMITATIONS: This review included studies that used various methodologies and did not assess study quality. Data on Indigenous status were not reported or defined in a standardized manner. Indigenous communities are not homogeneous and views on organ donation and KT vary by individual. CONCLUSIONS: Our scoping review has identified potential barriers that Indigenous communities may face in accessing KT and LDKT. Further research is urgently needed to better understand barriers and support needs and to develop strategies to improve equitable access to KT and LDKT for Indigenous populations in Canada.

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)0.007
metaresearch head score (Gemma)0.029
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.060
Threshold uncertainty score0.435

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.029
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0120.024
Science and technology studies0.0050.002
Scholarly communication0.0060.002
Open science0.0020.002
Research integrity0.0020.001
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 head0.066
GPT teacher head0.365
Teacher spread0.300 · 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 designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations29
Published2021
Admission routes3
Has abstractyes

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