Male involvement in utilization of emergency obstetric care and averting of deaths for maternal near misses in Rakai district in Central Uganda
Bibliographic record
Abstract
Although studies have assessed male involvement in birth preparedness and complication readiness, little is known about their involvement after the onset of maternal near miss complications. This information is important in developing appropriate strategies for male involvement in accessing emergency obstetric care (EmOC) in order to reduce Uganda’s high maternal mortality ratio. The study examined the roles played by men after the onset of maternal near miss complications in Uganda. A qualitative study using narratives of 40 purposively selected maternal near misses and in-depth interviews of 10 randomly selected men was conducted. Results showed that men were involved in postpartum uptake of long term contraceptive methods, management of obstetric complications, decision making, social support, transport arrangements and provision of financial support to access EmOC. Therefore, men should be sensitized on the recommended haemorrhage medication during home births, the need for supervised deliveries and prompt referral of their wives to health facilities.
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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 | 0.001 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".