Understanding ethical challenges of family planning interventions in sub–Saharan Africa: a scoping review
Bibliographic record
Abstract
Background: he ethical implications of FP interventions has been underreported and underexplored. Several ethical challenges persist related to measuring success, choice, and target population. Methods: We conducted a scoping review to understand if and how FP interventions published between 2000 and 2020 within sub-Saharan Africa address the ethical challenges raised within the literature. We identified a total of 1,652 papers, of which 40 were included in the review. Results: Our review demonstrated that the majority of family planning interventions in sub-Saharan Africa place a strong emphasis, on measuring success through quantitative indicators such as uptake of modern contraception methods among women, specifically those that are married and visiting healthcare centres. They also tend to bias the provision of family planning by promoting long-acting reversible contraception over other forms of contraception methods potentially undermining individuals' autonomy and choice. The interventions in our review also found most interventions exclusively target women, not recognising the importance of gender norms and social networks on women's choice in using contraception and the need for more equitable FP services. Conclusion: The results of this review highlight how FP interventions measured success through quantitative indicators that focus on uptake of modern contraception methods among women. Utilising these measures makes it difficult to break away from the legacy of FP as a tool for population control as they limit the ability to incorporate autonomy, choice, and rights. Our results are meant to encourage members of the global family planning community to think critically about the ethical implications of their existing interventions and how they may be improved. More public health and policy research is required to assess the effect of applying the new indicators with the FP community as well as explicitly outlining monitoring and evaluation strategies for new interventions to allow for programme improvement and the dissemination of lessons learned.
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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 | 0.088 | 0.270 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.016 | 0.014 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.005 |
| 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".