The economic burden incurred by families caring for a young child with developmental disability in Uganda
Bibliographic record
Abstract
Each year, nearly 30 million children globally are at risk of developmental difficulties and disability as a result of newborn health conditions, with the majority living in resource-constrained countries. This study estimates the annual cost to families related to caring for a young child with developmental disability in Uganda. Nested within a feasibility trial of early care and support for young children with developmental disabilities, this sub-study estimated the cost of illness, the cost of paternal abandonment of the caregiver and the affordability of care by household. Seventy-three caregivers took part in this sub-study. The average annual cost of illness to families was USD 949. The main cost drivers were the cost of seeking care and income lost due to loss of employment. Households caring for a child with a disability spent more than the national average household expenditure, and the annual cost of illness for all households was more than 100% of the national GDP per capita. In addition, 84% of caregivers faced economic consequences and resorted to wealth-reducing coping strategies. Families caring for a child with severe impairment incurred USD 358 more on average than those with mild or moderate impairment. Paternal abandonment was common (31%) with affected mothers losing an average of USD 430 in financial support. Caring for a young child with developmental disability was unaffordable to all the study households. Programmes of early care and support have the potential to reduce these financial impacts. National efforts to curb this catastrophic health expenditure are necessary.
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 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".