Prevalence and Forms of Sexual Violence Among Women Seeking HIV Services At Selected Health Facilities in Buhweju District, Southwestern Uganda
Bibliographic record
Abstract
Abstract Background: Sexual violence is a global health concern affecting more than a third of women especially those in low and middle income countries. HIV is one of the consequences of sexual violence but it can also be a risk factor. Different forms and contexts of sexual violence exist and have a negative impact on the psychological wellbeing and health care seeking behaviour and of the victims and their families. This study determined the prevalence and forms of sexual violence among women seeking HIV services at selected health facilities in Buhweju district, southwestern Uganda. Methods: This was a cross-sectional study among 324 HIV positive women in four health facilities in Buhweju district, southwestern Uganda. We used a researcher administered questionnaire to collect data on sociodemographic characteristics, burden and forms of sexual violence, services sought by the victims and sexual violence screening by health workers. Data were analyzed with Chi square and logistic regression using SPSS version 20 at 95% level of significance Results: A total of 324 women participated in the study with a mean age of 35.05 ± 12.212 years and majority had primary level of education. The prevalence of sexual violence among the study participants was 32.7% (106/324). The most common forms of sexual violence were sexual humiliation, forced genital touching and insertion of an object into genitalia. Husbands of the victims were the most common perpetrators, less than a quarter of the victims of sexual violence disclosed the incidents and only 15% of the victims sought medical help. The common medical help sought included post-exposure prophylaxis (4.9%), HIV test (9.3%) and emergency contraception (5.6%). Being married (p = 0.035, 95%CI 0.069-0.905) was protective against sexual violence. Conclusion and recommendation : A third of HIV women seeking care from health facilities in Buhweju district experience sexual violence, more than three quarters of the victims do not disclose the incidents to other people and very few seek medical help. The most common forms of sexual violence include sexual humiliation, forced genital touching and insertion of an object into genitalia.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".