Exploring Preconceptions as Barriers to Peritoneal Dialysis Eligibility: A Global Scenario-Based Survey of Kidney Care Physicians
Bibliographic record
Abstract
Introduction: Despite the growing number of patients requiring kidney replacement therapy (KRT), peritoneal dialysis (PD) is underutilized globally. A contributory factor may be clinician myths about its use. The aim of this study was to explore perceptions about PD initiation by clinicians according to various physical, social, and clinical characteristics of patients. Methods: An online global survey (in English and Thai) was administered to ascertain nephrologists' and nephrology trainees' decisions on recommending PD as a treatment modality. Results: A total of 645 participants (522 nephrologists and 123 trainees; 56% male) from 54 countries (66% from high-income countries [HICs], 22% from upper middle-income countries [UMICs], 12% from lower middle-income countries, and 1% from low-income countries [LICs]) completed the survey. Of the respondents, 81% identified as attending physicians or consultants, and 19% identified as trainees or other. PD was recommended for most scenarios, including repeated exposures to heavy lifting, swimming (especially in a private pool and ocean), among patients with cirrhosis or cognitive impairment with available support, and those living with a pet if a physical separation can be achieved during PD. Certain abdominal surgeries were more acceptable to proceed with PD (hysterectomy, 90%) compared to others (hemicolectomy, 45%). Similar variation was noted for different types of stomas (nephrostomies, 74%; suprapubic catheters, 53%; and ileostomies, 27%). Conclusion: The probability of recommending PD in various scenarios was greater among clinicians from HICs, larger units, and consultants with more clinical experience. There is a disparity in recommending PD across various clinical scenarios driven by experience, unit-level characteristics, and region of practice. Globally, evidence-informed education is warranted to rectify misconceptions to enable greater PD uptake.
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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 | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".