Addressing Gender Disparities in Adolescent Sexual and Reproductive Health: A Scoping Review of Life Skills-Based Education in Pakistan
Bibliographic record
Abstract
Objective: Adolescents in Pakistan face significant health risks due to factors such as sexual violence, forced marriages, and limited access to reproductive health education. Life Skills-Based Education (LSBE) and Comprehensive Sexuality Education (CSE) have been explored as strategies to enhance awareness and improve reproductive health outcomes. This scoping review examines existing research on LSBE programs in Pakistan, with a focus on gender disparities in their implementation and impact. Methodology: A systematic search was conducted across PubMed, Medline, Google Scholar, Web of Science, PakMediNet, and Popline for randomized, quasi-randomized trials, and evaluation studies on LSBE programs published in the past two decades. Studies included were those conducted in schools or communities to improve adolescents' life skills and reproductive health knowledge. Two independent reviewers assessed the papers to minimize bias. Given the limited availability of peer-reviewed studies (only three articles), relevant non-peer-reviewed literature was also incorporated into the final analysis. Results: Six studies met the inclusion criteria, consisting of research articles and NGO reports evaluating LSBE programs. These programs were associated with increased confidence, higher school attendance—especially among girls—and improved awareness of reproductive health rights. However, most interventions primarily targeted female adolescents, with limited focus on addressing the needs of boys, highlighting a gender disparity in program outreach. Conclusion: While LSBE programs in Pakistan have demonstrated positive effects, the existing data is insufficient to conclusively determine their effectiveness in improving adolescent health outcomes. More rigorous research, including controlled experimental studies with reliable assessment tools, is needed to evaluate the impact of LSBE and CSE. Additionally, addressing the gender imbalance in program implementation is crucial to ensure equitable access to reproductive health education for all adolescents. Keywords: Adolescent reproductive health, Gender disparities, Comprehensive sexuality education, Family life education, Life skills-based education.
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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 | 0.009 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".