Stakeholder perceptions and experiences from the implementation of the Gratuité user fee exemption policy in Burkina Faso: a qualitative study
Bibliographic record
Abstract
Abstract Background In 2016, the Gratuité policy was initiated by the Government of Burkina Faso to remove user fees for maternal, newborn, and child Health (MNCH) services. Since its inception, there has not been any systematic capture of experiences of stakeholders as it relates to the policy. Our objective was to understand the perceptions and experiences of stakeholders regarding the implementation of the Gratuité policy. Methods We used key informant interviews (KIIs) and focus group discussions (FGDs) to engage national and sub-national stakeholders in the Centre and Hauts-Bassin regions. Participants included policymakers, civil servants, researchers, non-governmental organizations in charge of monitoring the policy, skilled health personnel, health facility managers, and women who used MNCH services before and after the policy implementation. Topic guides aided sessions, which were audio recorded and transcribed verbatim. A thematic analysis was used for data synthesis. Results There were five key themes emerging. First, majority of stakeholders have a positive perception of the Gratuité policy. Its implementation approach is deemed to have strengths including government leadership, multi-stakeholder involvement, robust internal capacity, and external monitoring. However, collateral shortage of financial and human resources, misuse of services, delays in reimbursement, political instability and health system shocks were highlighted as concerns that compromise the government's objective of achieving universal health coverage (UHC). However, many beneficiaries were satisfied at the point of use of MNHC services, though Gratuité did not always mean free to the service users. Broadly, there was consensus that the Gratuité policy has contributed to improvements in health-seeking behavior, access, and utilization of services, especially for children. However, the reported higher utilization is leading to some perceived increased workload and altered health worker attitude. Conclusions There is a general perception that the Gratuité policy is achieving what it set out to do, which is to increase access to care by removing financial barriers. While stakeholders recognized the intention and value of the Gratuité policy, and many beneficiaries were satisfied at the point of use, inefficiencies in its implementation undermines progress. As the country moves towards the goal of realizing UHC, reliable investment in the Gratuité policy is needed.
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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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".