Forms of and Factors Associated With Perpetration of Intimate Partner Violence by Men on Their Female Partners Following HIV Status Disclosure in the Ashanti Region of Ghana: A Qualitative Study
Bibliographic record
Abstract
Background: Men’s experiences of perpetration of intimate partner violence against their female heterosexual partners following disclosure of their HIV positive status is a global health problem. The forms of IPV and factors associated with IPV following the disclosure are under-researched. In this article, we aim to explore and describe the forms of and factors associated with men’s experiences of perpetration of IPV against their female partners following the disclosure of seropositive HIV status. Methods: An exploratory qualitative research design using an interpretive phenomenological analysis method was employed for the data collection from participants (men) who perpetrated violence against their HIV positive women. The study setting was done in two HIV clinics in two Hospitals. The study population consisted of all men whose intimate partners had been diagnosed HIV positive and made known to their partners and are seeking healthcare at the two HIV clinics. Purposive sampling technique was employed to recruit participants for the study. An interpretive phenomenological approach was employed for the collection and analysis from eighteen men whose partners had recently disclosed their seropositive HIV status. An interview guide was the tool employed for the data collection. Data collection and analysis were undertaken concurrently. Results: Most of the participants identified and described the forms of and factors associated with IPV influencing them to perpetrate IPV. Five themes and sub-themes emerged and these include; emotional factors, spousal related factors, Social related factors, Sex-related factors and some forms of IPV which were identified by participants. Each of these themes has subthemes. Conclusion: Men use different forms of IPV violence in abusing women who disclosure their HIV seropositive status. Several factors as identified in this study accounts for this partner violence. Forms and factors associated with intimate partner violence should be used as a guide in formulating policies and developing a guide that can be utilised in the early detection of IPV in this category of women.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 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".