Analyse économique d’un programme de renforcement du système de santé en République démocratique du Congo
Bibliographic record
Abstract
INTRODUCTION: Due to the Democratic Republic of the Congo's (DRC) precarious health system that provides only limited access to health care, the European Union, via Memisa Belgium, implemented a program to strengthen provision of and access to health care (known as PRO DS) in the provinces of Kongo Central and Ituri. This program took a holistic approach, seeking to improve equitable access and combat malnutrition. METHODS: To measure the program's social return on investment and to estimate the cost per capita and effectiveness per euro invested (efficiency), a 61-month (1 July 2017 to 31 July 2022) cost-effectiveness evaluation with a societal perspective was carried out. The double-difference method was used to compare the results of PRO DS and non-PRO DS zones. The social return on investment was assessed via the ratio of effectiveness to costs. RESULTS: Analyses revealed the program cost between 3.72 and 3.96 euros per capita per year (2022) in Kongo Central, and between 3.12 and 3.36 euros in Ituri. Importantly, it was cost-effective in the areas of reproductive health, nutrition, and the use of health and nutrition services. CONCLUSIONS: The program's strong nutritional component and overall holistic vision may explain why it was so efficient. PRO DS stands out from other programs that focus solely on one specific problem or population. Although the program has some limitations, it would be worthwhile for the government to invest in it.
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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 | 0.031 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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; both teacher heads agree on what is shown here.
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".