Promoting mental wellbeing among pregnant and postpartum adolescents: A toolkit for adolescents living in urban poor environments
Bibliographic record
Abstract
Abstract Background: About one in five of women aged between 15 and 49 years old experience a mental disorder in antepartum and postpartum period in developing countries where routine screening and treatment are sometimes not prioritized due to other competing health issues needing urgent attention. The prevalence of mental health disorders is even higher among pregnant adolescents who face constant stigmatization from society and peers. Methods. This paper reports on an innovative toolkit for maternal mental health promotion among pregnant and postpartum (2 years post-delivery) adolescent girls. The toolkit is intended to provide pregnant and postpartum adolescent girls with the knowledge, problem-solving skills, coping mechanisms and confidence they need to protect their mental health during pregnancy and early motherhood. The toolkit was co-created with 50 pregnant and postpartum adolescent girls living in urban poor settings in Nairobi, in a 3-step approach, and tested through a field experimentation with 130 pregnant and postpartum adolescent girls living the slums. We also report on results from qualitative interviews conducted post-experiment to assess views and satisfaction with the toolkit package, and experiences and preferences with the two delivery modes used for delivering the toolkit package (face-to-face and through phones). Results: The toolkit development process provided a critical opportunity for adolescent girls to engage on maternal mental health issues and reflect on their lived experiences, thus improving on their mental health awareness. Preliminary qualitative insights from adolescent girls indicate that the toolkit sessions were effective in improving overall wellbeing. Conclusion: Large scale implementation of maternal mental health interventions is needed the improve health and wellbeing of adolescent mothers living in poor environments across the sub-Saharan African region. Our toolkit provides an adolescent-friendly tool to be used for such interventions.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".