Self-Care Behaviors in Patients Receiving Hemodialysis: A Systematic Review of Recent Evidence
Bibliographic record
Abstract
Background: Patients diagnosed with end-stage renal disease (ESRD) often face significant lifestyle adjustments upon commencing regular hemodialysis. Emphasizing self-care becomes crucial to enhance longevity and diminish hospitalization rates. This study aimed to scrutinize the nature and impact of self-care practices among individuals undergoing hemodialysis treatment. Methods: A systematic review search was conducted, utilizing five databases, PubMed, Scopus, Web of Science, Google Scholar, and Cochrane. The search was limited to the years 2010-2024. Studies were deemed eligible for inclusion if published in English and evaluated the self-care behaviors of patients receiving hemodialysis. Results: Through meticulous searching, 716 articles were identified. After thorough screening, 32 studies aligned with the criteria and were included in the final analysis. The articles encompassed various types, such as clinical trials, quasi-experimental, descriptive, correlational, and cross-sectional studies. The collective insights from 3350 hemodialysis patients worldwide revealed seven primary categories of self-care behavior: 1) Dietary management, 2) Physical exercise, 3) Mental health management, 4) Maintenance of fistula, 5) Compliance with medication, 6) Post-dialysis issue management, and 7) Fluid regulation. Conclusions: Self-care practices play a pivotal role in enhancing the treatment outcomes of Patients Receiving Hemodialysis (PRH), simplifying therapy administration, and addressing potential complications effectively. Furthermore, the review underscores the importance of socio-economic factors, including education and income level, in shaping patients' self-care behaviors. It was observed that patients with higher education levels tended to engage more in physical activities and maintain better self-care practices.
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.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".