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Record W2782046897 · doi:10.1177/2054358117747261

Barriers to Peritoneal Dialysis in Aboriginal Patients

2018· article· en· W2782046897 on OpenAlexaffabout
Anna Mathew, Joonho Park, Mala Sachdeva, Manish M. Sood, Karen Yeates

Bibliographic record

VenueCanadian Journal of Kidney Health and Disease · 2018
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsQueen's UniversityOttawa HospitalUniversity of OttawaMcMaster University
Fundersnot available
KeywordsMedicinePeritoneal dialysisDialysisKidney diseaseHemodialysisLogistic regressionPopulationObservational studyHome hemodialysisCohortInternal medicineEmergency medicineEnvironmental health

Abstract

fetched live from OpenAlex

Background: Aboriginal people in Canada have an unduly high burden of end-stage kidney disease (ESKD) and many live in rural settings. Peritoneal dialysis (PD) is a home-based dialysis modality that may provide a valuable alternative to in-center hemodialysis which is relatively underutilized by the Aboriginal population. Objective: We aim to assess the barriers to PD utilization in Aboriginal patients with ESKD. Design: This article is a prospective observational cohort study. Setting: The setting involves 3 predialysis clinics in Winnipeg, Kingston, and Moose Factory. Patients: The patients were 99 individuals (67 non-Aboriginal and 32 Aboriginal) who were at least 18 years of age with an estimated glomerular filtration rate of less than 30 mL/min/1.73m 2 , and were enrolled in one of the 3 study sites from April 2011 to October 2013. Measurements: Patient demographics and comorbidities were documented. Barriers to PD, PD as modality choice, and Aboriginal status were assessed via patient survey upon study enrollment. PD use as the initial dialysis modality was assessed via monthly patient follow-up for 1 year after enrollment in the study. Methods: The patient survey was created based on literature review of known barriers to PD, repaired based on direct patient feedback, and tested for reliability via the test-retest method. Differences in PD choice, barriers to PD, and PD use between Aboriginal and non-Aboriginal patients were determined by chi-square test and logistic regression. Results: All patients enrolled in the study completed the survey. Mean age was 65.5 versus 54.6 years for non-Aboriginals and Aboriginals, respectively. Barriers to PD significantly associated with Aboriginal status were lack of money (odds ratio [OR]: 21.3; 95% confidence interval [CI]: 5.3-86.4; P < .0001) and anxiety (OR: 2.8; 95% CI: 1.1-7.1; P = .03). There was no difference in PD choice between non-Aboriginals and Aboriginals (66.7% vs 68.8%, respectively; P = .83). One of 67 non-Aboriginals (1.5%) and 5 of 32 Aboriginals (15.6%) died prior to initiating dialysis ( P = .013). No significant difference was observed between non-Aboriginals (33%) and Aboriginals (28%) in use of PD ( P = .81). Limitations: Small sample size was a limitation of this study. Conclusions: Aboriginal people in Canada have a disproportionately large burden of ESKD, and PD could provide an alternative to in-center hemodialysis for those living in rural areas. Our study identified anxiety and lack of money as barriers to PD significantly associated with Aboriginal status. When choosing dialysis modality, shared decision making between physicians and patient is of key importance to weigh all potential benefits and risks and emphasize the Aboriginal patient’s values and preferences. These results can be used to guide future research and to help devise interventions targeting barriers to PD in Aboriginals.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.897
Threshold uncertainty score0.205

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.007
GPT teacher head0.281
Teacher spread0.274 · 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".

Quick stats

Citations9
Published2018
Admission routes2
Has abstractyes

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