The need for individualizing teaching and assurance of knowledge transmission to patients training for home dialysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Patients have varied learning styles and this has implications for home haemodialysis (HHD). Assessment tools directed toward understanding these styles remains understudied. As a consequence, this may lead to substandard retention rates or adverse events in HHD programs. As part of a continuous quality improvement initiative we have aimed to improve our understanding of patient learning styles and consequently tailor home dialysis training to individuals. To objectively determine knowledge translation and comprehension, irrespective of learning styles, we have introduced an objective structured clinical examination (OSCE). This assessment tool allows for further refinement of educational priorities by highlighting both deficiencies and strengths. Thereafter, an exit OSCE ensures patients attain an acceptable standard to complete home haemodialysis independently. We hope this tool will help shape future training criteria for HHD programs and consequently reduce adverse event rates.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it