Investigating the Effect of Education on Self-Care among Chronic Heart Failure Patients Admitted to Shahid Mostafa Khomeini Hospital of Ilam
Bibliographic record
Abstract
BACKGROUND: Congestive heart failure is a common cause of hospitalization. If patients can adhere to self-care behaviors, the progression of the disease can be prevented. The aim of this study is to evaluate the effect of education on self-care in chronic heart failure patients admitted to Shahid Mostafa Khomeini Hospital of Ilam in 2016. METHODS: This study is of intervention typeand 40 patient’s sufferingfrom heart failure were selected. Research tools include a standard indicator questionnaire for measuring self-care by patients. The questionnaire contains 22 questions about their certainty ofself-care. Four point Likert scale was used for scoring and SPSS V.19 was used for data analysis. RESULTS: The sample consisted of 16 men (40%) and 24 women (60%) most of which were married (75%). The statistical correlation between the total score of self-care behavior before and after education was significant (P VALUE = 0.003), which shows that the education conducted on the patients was effective and caused more scores in all areas. CONCLUSION: Self-care behavior can be attained and spread through education. It is recommended that the patients suffering are given enough information about their diet and activities after their discharge from hospital.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".