Bibliographic record
Abstract
Self-care dialysis at home, whether peritoneal dialysis or hemodialysis, is more cost-effective than in-center dialysis and treatment outcome is at least comparable. Still, both self-care modalities are considered underutilized and we wished to identify the perceived reasons for this underutilization among nephrology professionals. A questionnaire was distributed at 5 international nephrology meetings in 2006. Questions addressed the most important stakeholders and the most important issues for patients and nephrology professionals to enable the expansion of self-care dialysis and commonly mentioned barriers were given as alternative responses. The proportion of patients considered suitable for self-care was also investigated. Seven thousand responses were collected. The listed stakeholders, i.e., health care and reimbursement authorities, nurses and physicians, and finally patients and their families, are considered approximately equally important for the process. Nephrology professionals feel that patient motivation for choosing and performing self-care dialysis is the strongest driver. The need for dedicated resources for self-care is judged to be vital for the expansion of this modality of treatment. Thirty-two percent of incident patients are considered able to perform self-care dialysis at home. This international survey among 7000 nephrology professionals has identified patient motivation as one of the strongest drivers of self-care dialysis at home. The need for dedicated resources for the staff to devote time to developing such motivation is given as one of the major reasons for the slow adoption. Under ideal conditions, it is felt that one-third of all patients starting dialysis can be trained to perform self-care dialysis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.073 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".