The state of evidence on the health outcomes and support needs of family caregivers of children with Cerebral Palsy in Sub-Saharan Africa: a scoping review
Bibliographic record
Abstract
PURPOSE: In Sub-Saharan Africa (SSA), caregivers of children with Cerebral Palsy (CP) face multidimensional challenges. However, there is a lack of comprehensive review of the available research on the health outcomes and support needs of family caregivers of children with CP.This scoping review aimed to identify the breadth and nature of research evidence on the health outcomes and support needs of family caregivers of children with CP in SSA. MATERIALS AND METHODS: This scoping review was conducted following the JBI methodology. Original studies written in English were included. Medline, Embase, CINAHL, PsycINFO, Web of Science, Scopus, Global Health, Cochrane, East African Medical Journal, and Africa Online Journals were searched. Data was analyzed descriptively. RESULTS: = 16) were qualitative studies. Caregivers had physical and psychological morbidities with financial, emotional, informational, and physical support needs. CONCLUSION: Available research evidence indicated that caregiving contributed to negative health outcomes, with financial support being a pressing need. Future research should investigate the positive outcomes and inherent resources available to family caregivers of children with CP in SSA to inform the development of strength-based interventions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.011 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| 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".