Knowledge and Utilization of Contraceptive Methods among Secondary School Female Adolescents in Rwamagana District, Rwanda
Bibliographic record
Abstract
Background: Adolescent pregnancy is a global health concern. Many adolescent deaths occur due to early marriage and pregnancy. This study assessed knowledge and utilization of contraception among secondary school female adolescents at selected secondary schools in Rwamagana district. Methods: Cross-sectional design using a self-administered questionnaire was conducted on 117 participants selected by simple random. Analysis used descriptive and inferential statistics at 95% confidence interval, employing SPSS Version 23. Dependent variable was the use of contraceptive and independent variables were socio-demographics and knowledge variables. Bivariate analysis assessed the association between independent and dependent variables. Multivariate analysis assessed the strength of association between dependent and independent variables by computing Odds Ratio. Results are presented in tables and figures. Results: The majority (88%) had heard of contraception, though knowledge about contraception was inadequate (61.54%). Level of contraceptive use was low (17%). The significant independent predictors of contraceptive use were the level of education, having heard of contraception, knowledge of source of contraception, and knowledge of specific contraception methods. Conclusion: Hearing about contraception, was not proportionately associated with knowledge or practicing contraception among the sexually active female adolescents. There is a need to enhance sex education, youth-friendly health services, and research.
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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 | 0.001 | 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) | 0.002 | 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".