Towards a deeper understanding of male involvement in the prevention of mother to child transmission of HIV in the Bogodogo District of the Central Region of Burkina Faso
Bibliographic record
Abstract
INTRODUCTION: Men can play crucial roles at each stage of HIV mother-to-child-transmission (MTCT) prevention. Low male involvement in preventative MTCT (PMTCT) in Burkina Faso is partially associated with increased MTCT rates in the country. Male involvement is at the intersection of individual experiences, social locations, organizational and systemic forces. It is crucial that PMTCT interventions are co-designed with all stakeholders, using approaches which account for such interconnected elements. This study, aims to provide a deeper understanding of male involvement using an intersectionality framework. METHODS: We used an intersectional theoretical approach as it positions male involvement at the intersection of social location, systemic forces, individual experiences, and dynamics within couples. We applied an interpretative qualitative description design. The study was performed at St-Camille's hospital in Ouagadougou, Burkina Faso. Our sample was theoretical to contrast for individual experiences and socioeconomic characteristics. Eligible women were identified via chart review and invited to participate with their male partners. We conducted individual semi-structured interviews with 12 couples. We performed a semantic thematic analysis using QDA Miner to identify themes and patterns among subjective perspectives, while accounting for variations between individuals. RESULTS: We interviewed 12 couples; 6 were serodiscordant. All women were HIV-positive. Participant ages ranged from 23 to 48 years. We found male involvement to be multidimensional and multifaceted, covering a large spectrum (from rejection to true partnership) and diverse involvement. Male involvement was limited by competing priorities, contradictory expectations, organizational opportunities and societal beliefs. We found interactions with caregivers impacted male involvement. CONCLUSION: This study contributed to enhancing our understanding of male involvement in PMTCT of HIV as a dynamic result of the interconnected individual, organizational and systemic experiences. Increasing male involvement will require implementation of coordinated interventions. Such interventions must strive to simultaneously integrate individual, organizational and systemic actions together.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.003 | 0.003 |
| 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".