Knowledge, Attitudes and Practices of Contraception Among Tertiary Students at the University Campus in Namibia
Bibliographic record
Abstract
The purpose of the study was to investigate the knowledge, attitude and practices of female tertiary students at the University of Namibia regarding contraception. The objective of the study was to assess and describe the knowledge, attitudes and practices of University of Namibia Education students at Rundu campus, regarding contraception with a view to make recommendations based on the findings of the study. A quantitative, descriptive cross-sectional design was used and a total of 220 female tertiary students from Rundu Campus were selected using simple random sampling. Data was collected from participants by the use of a self-administered questionnaire. Findings from this study showed amongst other that majority (80%) 166 showed poor practices towards contraception. However, the study showed that (91%) 202 has positive attitude regarding contraceptives and that this greatly contributes to high rate of unintended pregnancies as well as Sexually Transmitted Infections among them. It is recommended that in order to prevent unintended pregnancies as well as high incidences of Sexually Transmitted Infections among tertiary students, the Ministry of Health and Social Services must introduce a regular reproductive health outreach programme on campus, or establish a clinic on campus. Neglecting youth’s contraceptive needs contributes to high rate of unintended pregnancies, Sexually Transmitted Infections, HIV/AIDS and, indirectly; maternal mortality.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".