The relationship between hemodialysis patients' fluid compliance and selected socio-demographic factors in Northern Alberta, Canada
Bibliographic record
Abstract
Compliance with fluid restrictions is an important factor in the health and well-being of hemodialysis patients. Non-compliance is a common and increasing problem for patients, leading to morbidity and death. This study aimed to investigate the relationship between socio-demographic factors and fluid compliance among hemodialysis patients. This retrospective, cross-sectional, descriptive study included 153 patients, a majority of whom were residing in an urban location, and were receiving dialysis treatment in a metropolitan area in Northern Alberta, Canada. About 42% were fluid non-compliant. Younger and male patients found more likely to be fluid non-compliant. Patients who resided and received care in metropolitan areas, had median income above $35,000, and attended all dialysis sessions were less likely to be fluid non-compliant. Psychological support, continuous educational interventions, and follow-up to remind patients about the importance of complying with their fluid restrictions are recommended to minimize the risk of fluid non-compliance.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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".