Prevalence and determinants of unmet sexual and reproductive health needs among adolescent girls and young women in the Haut-Sassandra Region, Côte d'Ivoire
Bibliographic record
Abstract
Objectives: Adolescent girls and young women (AGYW) in sub-Saharan Africa face persistent challenges in meeting their sexual and reproductive health (SRH) needs, contributing to high rates of unintended pregnancies and sexually transmitted infections (STIs). This study aimed to assess the prevalence and key determinants of unmet SRH needs among sexually active AGYW living in the Haut-Sassandra region, Côte d'Ivoire. Study design: Cross-sectional study. Methods: This cross-sectional study, conducted in October 2023, included 342 sexually active AGYW randomly recruited from schools and public spaces within a 30-km radius around Daloa. Data were collected via a pre-tested quantitative questionnaire administered face-to-face. Unmet SRH needs were defined according to a multidimensional framework inspired by recent literature, encompassing both contraceptive and sexual health aspects, specifically, the coexistence of a desire to avoid pregnancy and inconsistent condom use and/or a history of unplanned pregnancy, abortion, or STI diagnosis in the past 12 months. Poisson regression models with robust variance were used to identify associated factors. Results: In total, 303 participants were included in the analyses. The mean age was 20.3 ± 2.8 years, and the overall prevalence of unmet SRH needs was 48.5 %. Sociodemographic factors positively associated with unmet needs included being married or cohabiting (p = 0.018), attending school (p = 0.029), living in an urban area (p = 0.005), and receiving money from non-family sources (p < 0.0001). Behavioral factors such as alcohol, drug, and/or tobacco use (p = 0.009) and having two or more sexual partners (p = 0.015) were associated with increased unmet needs. At the contextual level, experiencing gender-based violence (p = 0.0001) and endorsing inequitable gender norms regarding sexual decision-making and condom use (p = 0.019) were significantly associated with unmet SRH needs. Conclusion: Sexually active AGYW in Haut-Sassandra face substantial challenges in meeting their SRH needs. Research-action studies are needed to design youth-driven interventions addressing inequitable gender norms and gender-based violence.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".