Women’s decision-making power in a context of free reproductive healthcare and family planning in rural Burkina Faso
Bibliographic record
Abstract
BACKGROUND: In 2016, the national user fee exemption policy for women and children under five was introduced in Burkina Faso. It covers most reproductive healthcare services for women including prenatal care, delivery, and postnatal care. In subsequent years, the policy was gradually extended to include family planning. While studies have shown that user fee abolition policies increase visits to health centers and improve access to reproductive healthcare and family planning, there are also indications that other barriers remain, notably women's lack of decision-making power. The objective of the study is to investigate women's decision-making power regarding access to reproductive health and family planning in a context of free healthcare in rural Burkina Faso. METHODS: A descriptive qualitative study was carried out in rural areas of the Cascades and Center-West regions. Qualitative data were collected using individual semi-structured interviews (n = 20 participants) and focus groups (n = 15 participants) with Burkinabe women of childbearing age, their husbands, and key informants in the community. Data was analyzed using thematic analysis. RESULTS: A conceptual framework describing women's participation in the decision-making process was built from the analysis. Results show that the user fee exemption policy contributes to improving access to reproductive care and family planning by facilitating the negotiation processes between women and their families within households. However, social norms and gender inequalities still limit women's decision-making power. CONCLUSION: In light of these results, courses of action that go beyond the user fee exemption policy should be considered to improve women's decision-making power in matters of health, particularly with regard to family planning. Interventions that involve men and community members may be necessary to challenge the social norms, which act as determinants of women's health and empowerment.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.009 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".