Abolishing Fees at Health Centers in the Context of Community Case Management of Malaria: What Effects on Treatment-Seeking Practices for Febrile Children in Rural Burkina Faso?
Bibliographic record
Abstract
INTRODUCTION: Burkina Faso started nationwide community case management of malaria (CCMm) in 2010. In 2011, health center user fees for children under five were abolished in some districts. OBJECTIVE: To assess the effects of concurrent implementation of CCMm and user fees abolition on treatment-seeking practices for febrile children. METHODS: This is a natural experiment conducted in the districts of Kaya (CCMm plus user fees abolition) and Zorgho (CCMm only). Registry data from 2005 to 2014 on visits for malaria were collected from all eight rural health centers in the study area. Annual household surveys were administered during malaria transmission season in 2011 and 2012 in 1,035 randomly selected rural households. Interrupted time series models were fitted for registry data and Fine and Gray's competing risks models for survey data. RESULTS: User fees abolition in Kaya significantly increased health center use by eligible children with malaria (incidence rate ratio for intercept change = 2.1, p <0.001). In 2011, in Kaya, likelihood of health center use for febrile children was three times higher and CHW use three times lower when caregivers knew services were free. Among the 421 children with fever in 2012, the delay before visiting a health center was significantly shorter in Kaya than in Zorgho (1.46 versus 1.79 days, p <0.05). Likelihood of visiting a health center on the first day of fever among households <2.5 km or <5 km from a health center was two and three times higher in Kaya than in Zorgho, respectively (p <0.001). CONCLUSIONS: User fees abolition reduced visit delay for febrile children living close to health centers. It also increased demand for and use of health center for children with malaria. Concurrently, demand for CHWs' services diminished. User fees abolition and CCMm should be coordinated to maximize prompt access to treatment in rural areas.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".