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Record W3088316863 · doi:10.1136/bmjopen-2020-037529

Patients’ and caregivers’ perspectives on access to kidney replacement therapy in rural communities: systematic review of qualitative studies

2020· review· en· W3088316863 on OpenAlexaboutno aff
Nicole Scholes‐Robertson, Martin Howell, Talia Gutman, Amanda Baumgart, Victoria Sinka, David J. Tunnicliffe, Stephen May, Rachel M. Chalmers, Jonathan C. Craig, Allison Tong

Bibliographic record

VenueBMJ Open · 2020
Typereview
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilMedical Research Council
KeywordsMedicineDisadvantagePovertyQualitative researchShameRural areaNursingEconomic growth

Abstract

fetched live from OpenAlex

OBJECTIVE: Patients with chronic kidney disease (CKD) requiring kidney replacement therapy (KRT) in rural communities encounter many barriers in accessing equitable care and have worse outcomes compared with patients in urban areas. This study aims to describe the perspectives of patients and caregivers on access to KRT in rural communities to inform strategies to maximise access to quality care, and thereby reduce disadvantage, inequity and improve health outcomes. SETTING: 18 studies (n=593 participants) conducted across eight countries (Australia, Canada, the UK, New Zealand, Ghana, the USA, Tanzania and India). RESULTS: We identified five themes: uncertainty in navigating healthcare services (with subthemes of struggling to absorb information, without familiarity and exposure to options, grieving former roles and yearning for cultural safety); fearing separation from family and home (anguish of homesickness, unable to fulfil family roles and preserving sense of belonging in community); intense burden of travel and cost (poverty of time, exposure to risks and hazards, and taking a financial toll); making life-changing sacrifices; guilt and worry in receiving care (shame in taking resources from others, harbouring concerns for living donor, and coping and managing in isolation). CONCLUSION: Patients with CKD in rural areas face profound and inequitable challenges of displacement, financial burden and separation from family in accessing KRT, which can have severe consequences on their well-being and outcomes. Strategies are needed to improve access and reduce the burden of obtaining appropriate KRT in rural communities.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.131
Threshold uncertainty score0.827

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.307
GPT teacher head0.543
Teacher spread0.236 · 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 teacher head, 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

Citations39
Published2020
Admission routes1
Has abstractyes

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