Costs and Cost‐Effectiveness of Pediatric Inguinal Hernia Repair in Uganda
Bibliographic record
Abstract
BACKGROUND: Surgically treatable diseases contribute approximately 11% of disability-adjusted life years (DALYs) worldwide yet they remain a neglected public health priority in low- and middle-income countries (LMICs). Pediatric inguinal hernia is the most common congenital abnormality in newborns and a major cause of morbidity and mortality yet elective repair remains largely unavailable in LMICs. This study is aimed to determine the costs and cost-effectiveness of pediatric inguinal hernia repair (PIHR) in a low-resource setting. METHODS: Medical costs of consecutive elective PIHRs were recorded prospectively at two centers in Uganda. Decision modeling was used to compare two different treatment scenarios (adoption of PIHR and non-adoption) from a provider perspective. A Markov model was constructed to estimate health outcomes under each scenario. The robustness of the cost-effectiveness results in the base case analysis was tested in one-way and probabilistic sensitivity analysis. The primary outcome of interest was cost per DALY averted by the intervention. RESULTS: Sixty-nine PIHRs were performed in 65 children (mean age 3.6 years). Mean cost per procedure was $86.68 US (95% CI 83.1-90.2 USD) and averted an average of 5.7 DALYs each. Incremental cost-effectiveness ratio was $12.41 per DALY averted. The probability of cost-effectiveness was 95% at a cost-effectiveness threshold of $35 per averted DALY. Results were robust to sensitivity analysis under all considered scenarios. CONCLUSION: Elective PIHR is highly cost-effective for the treatment and prevention of complications of hernia disease even in low-resource settings. PIHR should be prioritized in LMICs alongside other cost-effective interventions.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".