Cost‐effectiveness of condom uterine balloon tamponade to control severe postpartum hemorrhage in Kenya
Bibliographic record
Abstract
OBJECTIVE: To evaluate the cost-effectiveness of condom uterine balloon tamponade (UBT) for control of severe postpartum hemorrhage (PPH) due to uterine atony versus standard PPH care in Kenya. METHODS: A cross-sectional analysis was conducted using cost data collected from 30 facilities in Western Kenya from April 15 to July 16, 2015. Effectiveness data were derived from the published literature. The modeling analysis was performed from the health-system perspective for a cohort of women who gave birth in 2015. Sensitivity analyses tested the robustness of model estimates. Costs were in 2015 US dollars. RESULTS: Compared with standard care with no uterine packing, condom UBT could prevent 1255 hospital transfers, 430 hysterectomies, and 44 maternal deaths. At $5 or $15 per UBT device, the incremental cost per disability-adjusted life year (DALY) averted was $26 or $40, respectively. If uterine packing was assumed to be done with standard care, the cost per DALY averted was $164 when the UBT price was $5 and $199 when the price was $15. CONCLUSION: Condom UBT was a highly cost-effective intervention for controlling severe PPH. This finding remained robust even when key model inputs were varied by wide margins.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".