Nephrologists’ perspectives on communication and decision-making regarding technique survival in peritoneal dialysis: an international qualitative interview study
Bibliographic record
Abstract
OBJECTIVES: Peritoneal dialysis (PD) allows patients increased autonomy and flexibility; however, both infectious and non-infectious complications may lead to technique failure, which shortens treatment longevity. Maintaining patients on PD remains a major challenge for nephrologists. This study aims to describe nephrologists' perspectives on technique survival in PD. DESIGN: Qualitative semistructured interview study. Transcripts were thematically analysed. SETTING AND PARTICIPANTS: 30 nephrologists across 11 countries including Australia, the USA, the UK, Hong Kong, Canada, Singapore, Japan, New Zealand, Thailand, Colombia and Uruguay were interviewed from April 2017 to November 2019. RESULTS: We identified four themes: defining patient suitability (confidence in capacity for self-management, ensuring clinical stability and expected resilience), building endurance (facilitating access to practical support, improving mental well-being, optimising quality of care and training to reduce risk of complications), establishing rapport through effective communications (managing expectations to enhance trust, individualising care and harnessing a multidisciplinary approach) and confronting fear and acknowledging barriers to haemodialysis (preventing crash landing to haemodialysis, facing concerns of losing independence and positive framing of haemodialysis). CONCLUSION: Nephrologists reported that technique survival in PD is influenced by patients' medical circumstances, psychological motivation and positively influenced by the education and support provided by treating clinicians and families. Strategies to enhance patients' knowledge on PD and communication with patients about technique survival in PD are needed to build trust, set patient expectations of treatment and improve the process of transition off PD.
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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 | 0.020 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".