Needs and Barriers of Teen Mothers in Rural Eastern Uganda: Stakeholders’ Perceptions Regarding Maternal/Child Nutrition and Health
Bibliographic record
Abstract
For adolescent mothers in rural Eastern Uganda, nutrition and health may be compromised by many factors. Identifying individual and environmental needs and barriers at local levels is important to inform community-based interventions. This qualitative study used interviews based on constructs from social cognitive theory. 101 adolescent mothers, family members, health-related personnel and community workers in Budondo sub-county (Jinja district), eastern Uganda were interviewed. Young mothers had needs, related to going back to school, home-based small businesses; social needs, care support and belonging to their families, employment, shelter, clothing, personal land and animals, medical care and delivery materials. Barriers to meeting their needs included: lack of skills in income generation and food preparation, harsh treatment, pregnancy and childcare costs, lack of academic qualifications, lack of adequate shelter and land, lack of foods to make complementary feeds for infants, insufficient access to medicines, tailored health care and appropriate communications. Using the social cognitive framework, this study identified myriad needs of young mothers and barriers to improving maternal/child nutrition and health. Adolescent-mother-and-child-friendly environments are needed at local levels while continuing to reduce broader socio-cultural and economic barriers to health equity. Findings may help direct future interventions for improved adolescent maternal/child nutrition and health.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".