Infection with the Human Immunodeficiency Virus and Fertility Desires: Results from a Qualitative Study in Rural Uganda
Bibliographic record
Abstract
The rationale of this qualitative study was to determine how a positive HIV diagnosis influenced fertility desires and reproductive decisions for women and men living in western Uganda and what the reasons were behind these fertility desires. The qualitative study was undertaken as part of a larger study on the same topic in order to better understand the quantitative findings. Five focus groups with a total of 35 participants, 20 women and 15 men were conducted. Eighteen participants were HIV positive. Almost all HIV-positive participants reported that they did not wish to have more children. The most important reasons given were the devastating impact of HIV on the health of the mother and the high risk of HIV transmission to the child. Most participants were not aware of the benefits of highly active antiretroviral therapy on reducing the risk of mother-to-child transmission of HIV. Some HIV-negative participants viewed ongoing childbearing by HIV-positive individuals as the result of a lack of education regarding the risks of childbearing while HIV-positive and also as contrary to the current expectations of lifestyle practice. They also emphasized that the community's perceptions of having children when mothers are HIV-infected was unfavorable and that fertility norms for all persons in the study area have now changed due to economic concerns and desire to educate all children in the family. The study findings have to be incorporated in the counselling curriculum for programs directed at HIV prevention and care and family planning. Specific recommendations are provided to improve the districts' primary healthcare programs for HIV care/prevention and family planning.
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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 | 0.017 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.009 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".