Male involvement in prevention of mother-to-child transmission of HIV, and its association with knowledge and residence in Ethiopia: a systematic review and meta-analysis
Bibliographic record
Abstract
Introduction: Male involvement is crucial in preventing vertical transmission of human immunodeficiency virus (HIV) among pregnant and lactating women.Different studies were conducted on male involvement in prevention of mother-to-child transmission (PMTCT) of HIV, but there is inconsistency among the findings.Thus, the aim of this systematic review and meta-analysis was to determine the pooled prevalence of male involvement in PMTCT of HIV, and its association with knowledge and residence in Ethiopia.Material and methods: Searching of articles was carried out from March 10 to April 20, 2020.Quality of each article was assessed by Newcastle-Ottawa scale for observational studies.Data were analyzed using STATA/SE version 14. Heterogeneity among the reported prevalence was assessed by computing values for c 2 , I 2 , and p-values.Random effects-model was applied to estimate the pooled effect.To minimize random variations among primary studies, sub-group analysis and meta-regression analysis were performed.For assessing publication bias, Egger and Begg tests were applied.Results: Sixteen research articles were included for this systematic review and meta-analysis, with 6,670 sample size.The overall pooled prevalence of male involvement in PMTCT of HIV was 37.93% (95% CI: 29.41-46.45%) in Ethiopia.Having good knowledge on HIV (OR = 4.77; 95% CI: 3.30-6.82%)and urban dwellers (OR = 2.69; 95% CI: 2.11-3.44%)were associated factors with male involvement in PMTCT. Conclusions:The level of male involvement in PMTCT of HIV in Ethiopia is low.Male involvement is influenced by knowledge on HIV and urban residence.The government of Ethiopia should give concern for rural male population to enhance their involvement in the prevention of mother-to-child HIV transmission.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.033 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".