The elimination of healthcare user fees for children under five substantially alleviates the burden on household expenses in Burkina Faso
Bibliographic record
Abstract
BACKGROUND: Since September 2008, an intervention has made it possible to provide free care to children under five in public health facilities in two districts of Burkina Faso. This study evaluated the intervention's impact on household expenses incurred for services (consultations and medications) to the children targeted. METHODS: The study is based on a survey of a representative panel of 1,260 households encountered in two waves, one month before and 12 months after the introduction of the intervention. The questions explored the illness episodes of all children under five in the 30 days before each wave. The analysis of health expenses incurred during an illness episode distinguished between total expenses and those incurred in public health facilities (charges for services and medications). Analyses based on multilevel simultaneous equation models were used to estimate the probability of spending and the amount spent, in a context where a large number of observations returned a count of zero. RESULTS: The burden on household expenses was greatly alleviated under the intervention. Average expenditure dropped from US$11 per episode of care to less than US$2 after the intervention was implemented. The risk of incurring an expense at a public health facility was reduced by two-thirds. The facility users' savings were primarily related to medication purchases. In rural areas, where barriers to access health services are more acute, both poor and non-poor families benefited from the intervention. The probability of spending on medications dropped dramatically for both the poor and the non-poor under the exemption (-75% vs.-77%), and the reduction in expenses for medications generated by the intervention was comparable for both groups in relative values (-86% vs.-89%). CONCLUSION: User fees abolition at the point of service substantially alleviated the burden on household expenses. The intervention benefited both poor and non-poor families and provided financial protection.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".