Barriers to modern contraceptive use in rural areas in DRC
Bibliographic record
Abstract
Recent research in the Democratic Republic of Congo (DRC) has shown that over a quarter of women have an unmet need for family planning and that modern contraceptive use is three times higher among urban than rural women. This study focuses on the reasons behind the choices of married men and women to use contraception or not. What are the barriers that have led to low levels of modern contraceptive use among women and men in DRC rural areas? The research team conducted 24 focus groups among women (non-users of any method, users of traditional methods and users of modern methods) and husbands (of non-users or users of traditional methods) in six health zones of three geographically dispersed provinces. The key barriers that emerged were poor spousal communication, sociocultural norms (especially the husband's role as primary decision-maker and the desire for a large family), fear of side-effects and a lack of knowledge. Despite these barriers, many women in the study indicated that they were open to adopting a modern family planning method in the future. These findings imply that programming must address mutual comprehension and decision-making among rural men and women alike in order to trigger positive changes in behaviour and perceptions relating to contraceptive use.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".