Involvement of Male Partners of Pregnant Women in the Prevention of Mother-to-Child Transmission (PMTCT) of HIV in Haiti: A Mixed-Methods Study
Bibliographic record
Abstract
This mixed-methods study aimed to determine the level of male involvement in the prevention of mother-to-child transmission (PMTCT) services in Haiti and identify barriers and associated factors. From May to June 2018, a questionnaire was used to measure the level of male involvement. Semistructured interviews with pregnant women were also conducted. Multivariate linear regression and qualitative content analyses were performed to explore factors associated and barriers to male partners' involvement in PMTCT services. One hundred and two pregnant women living with HIV completed the questionnaire. About 47% of male partners had a high level of involvement. Specifically, 90% financially supported their spouse, and 82% knew her appointment date at the antenatal clinic (ANC). Only 25% of male partners accompanied their spouse to the ANC, and 19% routinely used a condom during sexual intercourse. Factors associated with male involvement in PMTCT were being married and sharing HIV status with the male partner. Male partners with a positive HIV status were more likely to be involved in PMTCT. Qualitative findings revealed that barriers to male involvement included the conflict between opening hours of the ANC and the male partner's schedule, waiting time at the ANC, and the perception of antenatal care as being women's business. Overall male partners' involvement in PMTCT services is moderate. Gender relations, sociocultural beliefs, and care organization are likely to hinder this involvement. Developing and implementing contextually and culturally accepted strategies for male partners of pregnant women could contribute to strengthening their involvement in the PMTCT program.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".