A systematic review of interventions to support siblings of children with chronic illness or disability
Bibliographic record
Abstract
AIM: Chronic illness or disability in children can have a deleterious effect on the psychosocial health of well siblings. This systematic review synthesised evidence from studies evaluating sibling-oriented care aimed at improving behavioural and emotional outcomes in well siblings of children with chronic illness or disability. METHODS: Twenty electronic databases were searched. Study selection, data extraction and assessment of methodological quality were performed by two independent reviewers. RESULTS: Five controlled and nine uncontrolled studies were included. In higher-quality controlled trials, benefits of sibling-oriented care included reduced anxiety, improved mood and behavioural adjustment; however, these findings were not consistently demonstrated across studies. Study differences made it difficult to determine which sibling care features were most salient. CONCLUSIONS: Study findings highlight the potential for enhancing emotional and behavioural outcomes in well siblings. Future evaluations need to clearly identify the intended purpose of the care (what improvements are intended) and which types of siblings are most likely to benefit. This approach may yield more consistent and clinically important results.
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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 | 0.007 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".