Beyond routine care for children with heart diseases from the vulnerable context: A clinical practice perspective
Bibliographic record
Abstract
The statistics of children with heart diseases are notable in Namibia many of whom are from the rural area. While waiting for surgical corrections or when the child is a case for palliative care, these children have to be cared for at home, a task that can be doubtful for a rural caregiver. A qualitative, exploratory, phenomenological and contextual study was conducted to describe the experiences of rural caregivers regarding provision of home care for children with heart disease. The children’s experiences of living with the disease at home were also assessed because the burden of the diseases intensifies the demands for care. The findings revealed that both the caregivers and the children experience challenged emotions, disruptive social functioning, lacking of support from the family, lack of support from societal organisations as well as experiences of low vitality among the children. These experiences together, signify the overall poor coping by the caregivers and the children. Therefore, caring for a child with a heart disease at home requires a plan of individualized care which considers the context and the socio-economic status of the caregivers as the determinants for coping with providing care at home. Based on the findings, key recommendations were made among others to the clinical practice setting as an entry point to the care provided to these children. This paper provides a detailed description of the proposed health care intervention in the clinical setting to facilitate effective home care to children with heart diseases from the rural context.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| 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; 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".