Capacities of women and men to improve maternal and newborn health: Effect of a community-based intervention package in rural Bangladesh
Bibliographic record
Abstract
BACKGROUND: Despite improvement in recent decades, maternal and newborn mortality in Bangladesh remain high. A community-based intervention package was initiated in 2009 in Netrokona, a rural district in Bangladesh, to engage individuals, families and communities to improve maternal and newborn health. In this article, we present the effect of the intervention package on improvement of women's capacities with regard to maternal and newborn health, their husbands' capacities to effectively support them and use of skilled services during pregnancy, childbirth and after childbirth. METHODS: We adopted a quasi-experimental design to evaluate the effect of the intervention package. A cross-sectional household survey was conducted in the intervention and comparison sites at baseline in 2014 and at endline in 2016. A total of 725 women were interviewed at baseline (intervention n = 444; comparison n = 281) and 737 at end-line (intervention n = 442; comparison n = 295). A total of 317 of their husbands were interviewed at baseline (intervention n = 178; comparison n = 139) and 731 at endline (intervention n = 440; comparison n = 291). Propensity score matching (1:1) was performed and the subsequent analysis was restricted among 235 matched women at baseline and 217 matched women at endline. Descriptive analyses were performed for the covariates for matching. Bivariate analyses between baseline and endline were done for reporting women and their husbands' knowledge regarding pregnancy and childbirth, birth preparedness and complication readiness practices and utilization of health services. RESULTS: There was significant increase in awareness of danger signs during pregnancy, childbirth and following childbirth among women and their husbands, as well as increase in awareness of rights related to maternal and newborn health. There was also significant increase in birth preparedness and complication readiness practice among pregnant women and their husbands in the intervention site. Regarding use of skilled health services, there was significant increase in early initiation of antenatal care, attending at least one antenatal care contact and attending at least four antenatal care contacts. No notable improvement was observed in giving birth in the presence of skilled attendant or use of postnatal care. CONCLUSIONS: We conclude that the intervention package was effective in building the capacities of women and in engaging their husbands positively in maternal and newborn health. This may have translated into increased use of skilled care during pregnancy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".