Interventions to improve hemodialysis adherence: A systematic review of randomized‐controlled trials
Bibliographic record
Abstract
Over 485,000 people in the United States have chronic kidney disease, a progressive kidney disease that may lead to hemodialysis. Hemodialysis involves a complex regimen of treatment, medication, fluid, and diet management. In 2005, over 312,000 patients were undergoing hemodialysis in the United States. Dialysis nonadherence rates range from 8.5% to 86%. Dialysis therapy treatment nonadherence, including treatment, medication, fluid, and diet nonadherence, significantly increases the risk of morbidity and mortality. The purpose of this paper is to systematically review randomized-controlled trial intervention studies designed to increase treatment, medication, fluid, and diet adherence in adult hemodialysis patients. A search of Cumulative Index of Nursing and Allied Health Literature (CINAHL) (1982 to May 2008), MEDLINE (1950 to May 2008), PsycINFO (1806 to May 2008), and all Evidence-Based Medicine (EBM) Reviews (Cochran DSR, ACP Journal Club, DARE, and CCTR) was conducted to identify randomized-controlled studies that tested the efficacy of interventions to improve adherence in adult hemodialysis patients. Eight randomized-controlled trials met criteria for inclusion. Six of the 8 studies found statistically significant improvement in adherence with the intervention. Of these 6 intervention studies, all studies had a cognitive component, with 3 studies utilizing cognitive/behavioral intervention strategies. Based on this systematic review, interventions utilizing a cognitive or cognitive/behavioral component appear to show the most promise for future study.
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How this classification was reachedexpand
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 | 0.023 | 0.056 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.047 | 0.046 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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; both teacher heads agree on what is shown here.
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".