A comparative human rights analysis of laws and policies for adolescent contraception in Uganda and Kenya
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Improving access to adolescent contraception information and services is essential to reduce unplanned adolescent pregnancies and maternal mortality in Uganda and Kenya, and attain the SDGs on health and gender equality. This research studies to what degree national laws and policies for adolescent contraception in Uganda and Kenya are consistent with WHO standards and human rights law. METHODS: This is a comparative content analysis of law and policy documents in force between 2010 and 2018 governing adolescent (age 10-19 years) contraception. Between and within country differences were analysed using WHO's guidelines "Ensuring human rights in the provision of contraceptive information and services". RESULTS: Of the 93 laws and policies screened, 26 documents were included (13 policies in Uganda, 13 policies in Kenya). Ugandan policies include a median of 1 WHO recommendation for adolescent contraception per policy (range 0-4) that most frequently concerns contraception accessibility. Ugandan policies have 6/9 WHO recommendations (14/24 sub-recommendations) and miss entirely WHO's recommendations for adolescent contraception availability, quality, and accountability. On the other hand, most Kenyan policies consistently address multiple WHO recommendations (median 2 recommendations/policy, range 0-6), most frequently for contraception availability and accessibility for adolescents. Kenyan policies cover 8/9 WHO recommendations (16/24 sub-recommendations) except for accountability. CONCLUSIONS: The current policy landscapes for adolescent contraception in Uganda and Kenya include important references to human rights and evidence-based practice (in WHO's recommendations); however, there is still room for improvement. Aligning national laws and policies with WHO's recommendations on contraceptive information and services for adolescents may support interventions to improve health outcomes, provided these frameworks are effectively implemented.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it