Health system barriers and facilitators to living donor kidney transplantation: a qualitative case study in British Columbia
Bibliographic record
Abstract
BACKGROUND: In patients with kidney failure, living donor kidney transplantation (LDKT) is the best treatment option; yet, LDKT rates have stagnated in Canada and vary widely across provinces. We aimed to identify barriers and facilitators to LDKT in a high-performing health system. METHODS: This study was conducted using a qualitative exploratory case study of British Columbia. Data collection, conducted between October 2020 and January 2021, entailed document review and semistructured interviews with key stakeholders, including provincial leadership, care teams and patients. We recruited participants via purposive sampling and snowballing technique. We generated themes using thematic analysis. RESULTS: After analysis of interviews conducted with 22 participants (5 representatives from provincial organizations, 7 health care providers at transplant centres, 8 health care providers from regional units and 2 patients) and document review, we identified the following 5 themes as facilitators to LDKT: a centralized infrastructure, a mandate for timely intervention, an equitable funding model, a commitment to collaboration and cultivating distributed expertise. The relationship between 2 provincial organizations (BC Transplant and BC Renal Agency) was identified as key to enabling the mandate and processes for LDKT. Five barriers were identified that arose from silos between provincial organizations and manifested as inconsistencies in coordinating LDKT along the spectrum of care. These were divided accountability structures, disconnected care processes, missed training opportunities, inequitable access by region and financial burden for donors and recipients. INTERPRETATION: We found strong links between provincial infrastructure and the processes that facilitate or impede timely intervention and referral of patients for LDKT. Our findings have implications for policy-makers and provide opportunities for cross-jurisdictional comparative analyses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".