Epidemiological study of a developmentally and culturally sensitive preschool intervention to improve school readiness of children in Addis Ababa, Ethiopia
Bibliographic record
Abstract
BACKGROUND: Early childhood is a dynamic period of physical, psychosocial and cognitive development, where age appropriate intervention during the preschool years influences psychosocial, behavioural and academic achievement of children. This study evaluated the impact of a comprehensive preschool intervention on psychosocial, cognitive and behavioural school preparedness among children in Addis Ababa, Ethiopia. METHODS: Employing a cluster-sampling design, 150 preschool children who received the basic preschool curriculum (non-intervention) were compared with 100 randomly selected children who received a comprehensive preschool curriculum (intervention) using the Early Development Instrument (EDI) in five domains. Sample t-tests compared means of domain scores. Binary logistic regression analysed proportions of vulnerability in domains and overall. RESULT: There were no group differences in gender, age, special need status or child's first language. Intervention children had higher domain scores on social competence (mean difference 0.67 (SE=0.26)), emotional maturity (mean difference 0.77 (SE=0.29)), language and cognitive development (mean difference 0.67 (SE=0.40)), communication and general knowledge (mean difference 0.82 (SE=0.34)). Accounting for confounding variables, intervention children had a lower chance of overall vulnerability to domain problems (adjusted OR (AOR)=0.38; 95% CI 0.13 to 1.15), language and cognitive development (AOR=0.21; 95% CI 0.03 to 1.64), and social competence (AOR=0.20; 95% CI 0.08 to 0.45). CONCLUSION: The comprehensive intervention was associated with better outcomes on early childhood development across four domains. It is recommended to extend this programme to other areas of Ethiopia, where children do not have appropriate school preparation, to reduce risk of school dropout, negative personal and societal outcomes.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".