What can be done to reduce the prevalence of teen pregnancy in rural Eastern Uganda?: multi-stakeholder perceptions
Bibliographic record
Abstract
INTRODUCTION: The teenage pregnancy rate of 25% in Uganda is worrying though it may seem low compared to 28% in Sub-Saharan countries and West and Central Africa. Young mothers in Uganda risk poor maternal and child health, being isolated, attempting unsafe abortions, failure to continue with school, and poverty. This paper describes perceptions and recommendations of young mothers, family and community members on why the high rate of teenage pregnancies in Uganda and how these can be reduced. METHODS: This qualitative research was conducted from March to May 2016 in six communities within Budondo sub-county (Jinja district), Eastern Uganda. In-depth oral interviews were conducted with 101 purposively sampled adolescent mothers, family members, and workers of government and non-government organizations. Thematic analysis framed around levels of influence within a social cognitive framework was conducted using Atlas-ti (version 7.5.4). RESULTS: Perceived determinants of teenage pregnancies include: lack of life and social survival skills, lack of knowledge on how to avoid pregnancy, low acceptance/use of contraceptives, neglect by parents, sexual abuse, pressure to contribute to family welfare through early marriage or sexual transactions, lack of community responsibility, media influence, peer pressure, cultural beliefs that promote early marriage/childbearing and lack of role models. Other contributing factors include drug use among boys, poverty, late work hours, long travel distances, e.g., to school, and unsupervised locations like sugarcane plantation thickets. Recommendations participants offered include: sensitization seminars and counselling for parents and girls, closing pornography outlets that accept entrance of minors, using the law to punish rapists, involvement of the President to campaign against early pregnancies, school dismissal before dark, locally accessible schools and job creation for parents to earn money to support the girls financially. Areas for capacity building are: training teachers and community members in transferring empowerment and vocational skills to girls, and construction of homes with separate rooms to support parents' privacy. CONCLUSION: The factors associated with adolescent pregnancy in Uganda fall under individual, economic, social and physical environmental determinants. Recommendations spanning family, community and government involvement can ultimately empower girls, their families and community members, and support collective action to reduce teenage pregnancies.
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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 | 0.005 | 0.008 |
| 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 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".