Free versus subsidised healthcare: options for fee exemptions, access to care for vulnerable groups and effects on the health system in Burkina Faso
Bibliographic record
Abstract
BACKGROUND: The many forms of healthcare fee exemptions implemented in Burkina Faso since the 2000s have varied between total exemption (free) and cost subsidisation. This article examines both options, their contextual variations and the ways in which they affect access to healthcare for vulnerable people as well as the operation of the health system. This research is part of an interdisciplinary regional program on the elimination of user fees for health services in West Africa (Burkina Faso, Mali and Niger). METHOD: A conceptual framework and a chronological review of policy interventions are used as references to summarise the results of the three qualitative studies presented. Historical reference points are used to describe the emergence of healthcare fee exemption policies in Burkina Faso and the events that influenced their adoption. The joint analysis of opinions on options for fee exemption focuses on the different types of repercussions on access to healthcare and the operation of the health system. RESULTS: In conjunction with the twists and turns of the gradual development of a national health policy and in response to international recommendations, healthcare fee exemptions have evolved since colonisation. The limitations of the changes introduced with cost recovery and the barriers to healthcare access for the poorest people led to the adoption of the current sectorial fee exemptions. The results provide information on the reasons for the changes that have occurred over time. The nuanced perspectives of different categories of people surveyed about fee exemption options show that, beyond the perceived effects on healthcare access and the health system, the issue is one of more equitable governance. CONCLUSIONS: In principle, the fee exemption measures are intended to provide improved healthcare access for vulnerable groups. In practice, the negative effects on the operation of the health system advocate for reforms to harmonise the changes to multifaceted fee exemptions and the actual needs to promote effectiveness and sustainability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.019 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.020 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".