Cost‐Effectiveness of Two Government District Hospitals in Sub‐Saharan Africa
Bibliographic record
Abstract
BACKGROUND: District hospitals in sub-Saharan Africa are in need of investment if countries are going to progress towards universal health coverage, and meet the sustainable development goals and the Lancet Commission on Global Surgery time-bound targets for 2030. Previous studies have suggested that government hospitals are likely to be highly cost-effective and therefore worthy of investment. METHODS: A retrospective analysis of the inpatient logbooks for two government district hospitals in two sub-Saharan African hospitals was performed. Data were extracted and DALYs were calculated based on the diagnosis and procedures undertaken. Estimated costs were obtained based on the patient receiving ideal treatment for their condition rather than actual treatment received. RESULTS: Total cost per DALY averted was 26 (range 17-66) for Thyolo District Hospital in Malawi and 363 (range 187-881) for Bo District Hospital in Sierra Leone. CONCLUSION: This is the first published paper to support the hypothesis that government district hospitals are very cost-effective. The results are within the same range of the US$32.78-223 per DALY averted published for non-governmental hospitals.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".