Health care utilisation in infants and young children born to women with intellectual and developmental disabilities: A systematic review and meta‐analysis
Bibliographic record
Abstract
BACKGROUND: Mothers with intellectual and developmental disabilities (IDD) experience socio-economic and health disparities which could impact their offspring's health care utilisation. We systematically reviewed evidence on health care utilisation in infants and young children of women with and without IDD. METHODS: MEDLINE, EMBASE, CINAHL, and PsycINFO were searched from inception to October 2019 for studies examining preventive care, immunisations, emergency department visits, and hospitalisations. Data extraction and quality assessment were performed using standardised tools. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were generated using random effects models for outcomes with data available from ≥3 studies. RESULTS: Four articles describing three cohort studies and one cross-sectional study met our criteria. Maternal IDD status was associated with increased neonatal intensive care unit admission rates (pooled OR 2.03; 95% CI 1.31, 3.13). There were no differences in immunisation rates or hospitalisations. CONCLUSIONS: Few studies have examined the impact of maternal IDD status on health care utilisation in their infants and young children. More high-quality studies are needed.
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How this classification was reachedexpand
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 | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".