Adolescent reproductive health in Uganda: Issues related to access and quality of care
Bibliographic record
Abstract
UNLABELLED: Adolescent health in Kabarole district, Uganda, is seriously jeopardized by both high teenage pregnancy rates and high rates of sexually transmitted diseases, including HIV infection. OBJECTIVES: To elucidate views, perceptions and attitudes of key informants who are involved in the delivery of reproductive health services to adolescents. STUDY GROUP: Four managers of youth-related nongovernmental organizations, two government nurses, and four youth leaders. METHODS: Qualitative study with content analysis using in-depth interviews. RESULTS: Participants agreed that reproductive health services in Kabarole district are not adolescent friendly. Most often, lack of privacy and confidentiality for the adolescents attending a health unit was cited as one important reason. Other factors contributing to a less adolescent friendly service environment were inconvenience of services including the fragmentation of different service components and lack of specific traIning for health workers on how to relate appropriately to adolescents. Also noted was that several participants had a negative attitude toward the sexual activity of adolescents. Suggestions for service improvement were limited to training of health workers and increased support for the infrastructure. CONCLUSIONS: Reproductive health services for adolescents in Kabarole district could be strengthened by improving the privacy and confidentiality of services. Health workers must also be trained in counseling and in treating adolescents in a youth-appropriate and high quality fashion. Staff attitudes must also be addressed.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".