Objectively measured and self‐reported nonadherence among <scp>J</scp>ordanian patients receiving hemodialysis
Bibliographic record
Abstract
This study assessed nonadherence behavior to diet and fluid restrictions and examined the association between nonadherence behavior and demographic and clinical characteristics among Jordanian adults with end-stage renal disease receiving hemodialysis. A descriptive, correlational, cross-sectional design was used. The patients were interviewed within the first 90 minutes of dialysis session using the Dialysis Dietary and Fluid Nonadherence questionnaire (DDFQ). Demographic and clinical data were gathered from the patients and the medical records. The objective markers of dietary and fluid nonadherence (potassium, phosphorus, blood urea nitrogen, and interdialytic weight gain) were followed for the last 3 months, and average values were calculated. Diet and fluid nonadherence was common among Jordanian hemodialysis patients as 17-80% were nonadherent using different measures. Significant strong associations were found between the DDFQ subscales, and significant moderate associations between DDFQ and objective markers of dietary and fluid nonadherence. Youth, male gender, smokers, prolonged dialysis vintage, and less residual renal function were associated with nonadherence regardless of the measures used. There was substantial consistency between the DDFQ and objective measures of dietary and fluid nonadherence among Jordanian adults with end-stage renal disease receiving hemodialysis. Future interventional research should incorporate DDFQ and objective markers to measure dietary and fluid nonadherence and health-related outcomes.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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) | 0.001 | 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".