Advocating for in-center hemodialysis patients via anonymous survey
Bibliographic record
Abstract
We conducted an anonymous survey in 9 of our university affiliated outpatient dialysis units to address the concern that many in-center hemodialysis patients may not feel comfortable sharing their experiences. Major goals of this study: Investigating level of patient satisfaction with their care; Evaluating the subjective perception of the level of understanding of patients regarding pertinent issues of their disease and its management; Identifying potential avenues for care improvement. Survey was conducted in English, paper-based, with answer choices to individual questions for patient satisfaction and education graded using a 5-point Likert scale. Regarding potential areas of improvement, patients were asked to choose as many areas as deemed appropriate. To ensure anonymity, the completed surveys were folded and dropped into a box. Overall, 253 out of 516 (49%) screened patients were eligible and completed the survey. Patients expressed favorable responses regarding satisfaction (mean rating > 4 in each of 14 questions) and education (mean rating > 4 in 8 questions, > 3.5 in 2 questions) regarding hemodialysis. About 62% of overall study participants identified at least one area where they felt additional information would result in improvement of care. Our results indicate that patients undergoing outpatient hemodialysis were overall satisfied and had a good perceptive understanding about their health. Based on the patients' input, strategies focused on addressing pain and discomfort, privacy, providing information about palliative care/hospice, mental health resources, and the process of kidney transplantation may promote improvement in overall quality of care.
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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 | 0.006 | 0.014 |
| 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) | 0.004 | 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".