Waiting Too Long: The Contribution of Delayed Surgical Access to Pediatric Disease Burden in Somaliland
Bibliographic record
Abstract
BACKGROUND: Delayed access to surgical care for congenital conditions in low- and middle-income countries is associated with increased risk of death and life-long disabilities, although the actual burden of delayed access to care is unknown. Our goal was to quantify the burden of disease related to delays to surgical care for children with congenital surgical conditions in Somaliland. METHODS: We collected data from medical records on all children (n = 280) receiving surgery for a proxy set of congenital conditions over a 12-month time period across all 15 surgically equipped hospitals in Somaliland. We defined delay to surgical care for each condition as the difference between the ideal and the actual ages at the time of surgery. Disability-adjusted life years (DALYs) attributable to these delays were calculated and compared by the type of condition, travel distance to care, and demographic characteristics. RESULTS: We found long delays in surgical care for these 280 children with congenital conditions, translating to a total of 2970 attributable delayed DALYs, or 8.4 avertable delayed DALYs per child, with the greatest burden among children with neurosurgical and anorectal conditions. Over half of the families seeking surgical care had to travel over 2 h to a surgically equipped hospital in the capital city of Hargeisa. CONCLUSIONS: Children with congenital conditions in Somaliland experience substantial delays to surgical care and travel long distances to obtain care. Estimating the burden of delayed surgical care with avertable delayed DALYs offers a powerful tool for estimating the costs and benefits of interventions to improve the quality of surgical care.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".