The effect of pre-hospital discharge care program on mothers’ knowledge and reported practice for children with congenital heart surgery
Bibliographic record
Abstract
Heart surgery in children is done to repair heart defects for a child born with congenital heart defects and heart diseases. The aim of the study was to evaluate the effect of pre-hospital discharge care program on mothers’ knowledge and reported practice regarding discharge care of children with congenital heart surgery. The study was conducted in the Heart Surgery Department at Abo-EL Riesh University Children Hospital. The sample included 30 mothers and their children that were available during the period of data collection. Three tools were used to collect data including: Tool I: Interviewing questioner sheet of the participants categorized into two parts. Part I and part II: Personal characteristics of the children and their mothers. Tool II: Assessment of mothers’ knowledge regarding care of children after congenital heart surgery. Tool III: Mother’s reported care practice checklist. Results: The results of the present study revealed that there was a highly significant difference in all items of care knowledge (activity, food, medication and follow-up) before, after immediately and after one month from discharge program with highly significant statistically (p < .001). Discharge program improve mothers’ knowledge and practice regarding care of their children after congenital heart surgery. Recommendations: Comprehensive, multidisciplinary discharge planning should deign early and should include the mothers and children contain education regarding congenital heart surgery care.
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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 | 0.009 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".