Patients’ and caregivers’ perspectives on access to kidney replacement therapy in rural communities: systematic review of qualitative studies
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".