Effectiveness of Self-Care Education on the Enhancement of the Self-Esteem of Patients Undergoing Hemodialysis
Bibliographic record
Abstract
INTRODUCTION AND AIM: The assessment of self-esteem in hemodialysis people is becoming increasingly important and necessary. Low self-esteem as a problem in patients undergoing hemodialysis decreases adherence to treatment. The researcher intends to carry out a study in order to investigate the effect of self-care education on enhancement of the self-esteem of patients undergoing hemodialysis in Iran. METHOD AND MATERIAL: This is a quasi-experimental study. The subjects of the study who were selected based on purposive sampling method consisted of 50 patients with advanced chronic renal disease treated with hemodialysis. Before the intervention, two questionnaires were completed by patients. There was no intervention in the control group and the patients received only routine care in the hospital. In the experimental group, the hemodialysis patients received 5 consecutive one-hour training sessions by the researcher. Then the Rosenberg scale was filled out by the patients 2 month later. RESULT: According to the results, Paired t-test showed a significant difference between the mean self-esteem score in both groups before and after intervention. CONCLUSION: Increasing the knowledge and awareness of hemodialysis patients must constitute a cornerstone of therapy and an integral part of nursing responsibilities. Nurses should educate the patients about self-care behaviors and remind them of the dangerous complications of abandoning these.
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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) | 0.003 | 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".