Psychosocial challenges of pregnant adolescents: A narrative Inquiry of Adolescents in the Ho Municipality, Volta Region, Ghana
Bibliographic record
Abstract
Adolescent health studies in Ghana’s Volta Region have often focused on topics such as family planning, teenage pregnancy, and unsafe abortions. However, limited empirical evidence exists regarding the psychosocial challenges faced by pregnant adolescents. This study explores the psychological and social difficulties impacting pregnant adolescents in the Ho Municipality, to inform policies and psychosocial interventions to support this vulnerable group. Using a narrative and phenomenological approach, this facility-based qualitative study gathered insights from pregnant adolescents aged 10-19 through in-depth interviews at the Volta Regional and Ho Municipal Hospitals. Participants were selected through purposive sampling and provided accounts of their experiences, challenges, and the factors contributing to their pregnancies. Thematic analysis revealed significant psychological challenges such as hopelessness, anxiety, sadness, isolation, and sleep disturbances. These issues were often driven by family rejection, partner denial, stigmatization, and discrimination. Poverty emerged as the primary contributor to adolescent pregnancy, alongside factors such as single parenting, lack of contraceptive access, limited sexual education, peer pressure, cultural influences, and media portrayals of sexual behaviour. The study highlights a need for multifaceted strategies at both structural and individual levels to address adolescent pregnancy and its associated psychosocial challenges in the Ho Municipality. The study recommended implementing comprehensive sexual and reproductive health education in schools, communities, and families to better support adolescents in managing and preventing pregnancy.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".