International Home Dialysis Consortium: Declaration Advocating for the Promotion of Home Dialysis Globally
Bibliographic record
Abstract
The use of home dialysis (peritoneal dialysis [PD] and home hemodialysis [HHD]) is variable in high-income countries despite its known lifestyle benefits and lower costs, and is unavailable or underused in many lower-income countries, where PD could increase access to dialysis. The International Home Dialysis Consortium (IHDC) is a joint project of the ISN and the International Society for Peritoneal Dialysis (ISPD). The consortium has been established to address the challenges and barriers to and improve the adoption of home dialysis globally. A launch meeting was held at the World Congress of Nephrology 2024 in Buenos Aires, Argentina, focusing on 4 areas-empowering people needing dialysis, nephrology workforce education, developing workforce and resources, and integrating care and payment policies. The key statements from each group were then amalgamated to produce a manifesto that advocates for the global promotion of home dialysis (PD and HHD) to enhance patient experience, quality, and equity in kidney failure care. This manifesto will be presented to professional kidney-related societies (medical, nursing, patients, and technical) to adopt the declaration as a practical roadmap to increase home dialysis awareness and, consequently, modality selection.
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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 | 0.023 | 0.026 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.012 | 0.005 |
| Open science | 0.003 | 0.010 |
| Research integrity | 0.029 | 0.033 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".