Home hemodialysis: Beliefs, attitudes, and practice patterns
Bibliographic record
Abstract
There is increasing interest of the worldwide kidney community in home hemodialysis (HHD). This is due to emerging evidence of its superiority over conventional hemodialysis (HD), largely attributed to improved outcomes on intensive schedule HD, best deployed in patient's own homes. Despite published work in this area, universal uptake remains limited and reasons are poorly understood. All those who provide HD care were invited to participate in a survey on HHD, initiated to understand the beliefs, attitudes, and practice patterns of providers offering this therapy. The survey was developed and posted on the Nephrology Dialysis Transplantation-Educational (NDT-E) website. Two hundred and seventy-two responses were deemed suitable for complete analysis. It is apparent from the survey that there is great variability in the prevalence of HHD. Physicians have a great deal of interest in this modality, with majority viewing home as being the ideal location for the offer of intensive HD schedules (55%). A significant number (21%) feel intensive HD may be offered even outside the home setting. Those who offer this therapy do not see a financial disadvantage in it. Many units identify lack of appropriately trained personnel (35%) and funding for home adaptation (50.4%) as key barriers to widespread adoption of this therapy. Despite the interest and belief in this therapy among practitioners, HHD therapy is still not within reach of a majority of patients. Modifiable organizational, physician, and patient factors exist, which could potentially redefine the landscape of HHD provision. Well-designed systematic research of national and local barriers is needed to design interventions to help centers facilitate change.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".