Predictors of sexual and reproductive health knowledge and utilization of services among adolescents in Ghana’s Adaklu district
Bibliographic record
Abstract
Objective: To explore factors associated with adolescents' sexual and reproductive health (SRH) knowledge and their engagement with educational and clinical services. Design: Regression analysis of secondary data collected during a community survey. Setting: Adaklu district, Volta Region, Ghana. Participants: 221 adolescent caregiver pairs. Main outcome measures: The study employed three main outcome measures: (1) adolescents' level of SRH knowledge (assessed via questionnaire), (2) membership in district-sponsored adolescent health clubs (AHCs), and (3) ever-utilization of clinical SRH services. Results: Greater SRH knowledge was significantly associated with older age, AHC membership, and relying primarily on teachers or friends for SRH information. Increased odds of AHC membership were observed among females (AOR = 2.38, 95% CI 1.14-4.95); those who had communicated with one parent about sexual issues (OR 2.70, 95% CI 1.17-6.21); and those with a history of transactional sex (OR 5.53, 95% CI 1.04-29.37). Decreased odds were observed among adolescents whose caregivers were educated to the primary level (AOR = 0.24, 95% CI = 0.07-0.79). Overall, utilization of clinical SRH services was low, but higher odds were detected among individuals reporting a history of forced sex (AOR = 117.07, 95% CI 3.82-3588.52) and those who had discussed sexual issues with both of their parents (AOR = 13.11, 95% CI 1.85-92.93). Conclusions: Awareness of the predictors of knowledge, AHC involvement, and clinical service utilization can empower adolescent SRH initiatives-both present and future-to enhance their teaching, develop targeted outreach to underserved groups, and promote engagement with key clinical resources. Funding: This work has been supported by grants from the International Development Research Centre [108936] (IDRC), Canada.
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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 | 0.002 |
| 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 | 0.001 | 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".