A programme of support for care assistants of children admitted with cerebral palsy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Cerebral palsy affects children's movement and posture because of damage to the brain's development. Care assistants in healthcare facilities provide care to children. Caring for the children is overwhelming, hence support is required. Such support is absent, causing frustration among care assistants, which leads to poor quality care for children. Objectives: To explore and describe the experiences of care assistants of children admitted with cerebral palsy in healthcare facilities of the Gauteng province, and to develop a support programme for care assistants. Method: A qualitative, exploratory, descriptive, and contextual research design was used. Participants were selected from healthcare facilities in Gauteng province. Semi-structured interviews were used to collect data. Content data analysis was used to analyse data. The results were used to develop a support programme for care assistants. Results: Three themes emerged, namely, a lack of training opportunities, a lack of resources, and a lack of support. The results were used to develop a support programme, using the three steps of the Donabedian model for care: structure, process and outcome. Conclusion: Care assistants are not given training opportunities, work with limited resources and are not supported, hence the development of a support programme. If effectively utilised, the programme can lead to staff satisfaction and improvement of quality care for children. Contribution: The study enabled managers in healthcare facilities to see the need for policy and the need for support strategies for care assistants. A support programme was further developed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it