A Cluster Randomised Control Trial of an SMS-Based Intervention to Promote Antenatal Health amongst Pregnant Women in a Remote, Highland Region of Vietnam
Bibliographic record
Abstract
Although Vietnam has achieved significant improvements in maternal, newborn, and children's health, outcomes for ethnic minorities living in remote mountainous areas continue to lag. Interventions that leverage the extensive mobile networks in the country have been proposed as a way to overcome some of these challenges. A cluster randomised controlled trial (cRCT) was conducted to assess the effectiveness of an intervention comprising tailored SMS messages for promoting antenatal care knowledge and behaviours amongst ethnic minority (EM) pregnant women. The cRCT was implemented across eight intervention communes (640 women) and four control communes (315 women) in Northern Vietnam. Maternal health-related knowledge and behaviour outcomes and self-rated health status were assessed through questionnaires administered pre- and post-intervention. Difference-in-difference and logistic regression analysis found that the intervention group showed significant improvements in awareness about the danger signs of pregnancy and the importance of nutritional supplements. Significant improvements were seen in antenatal care-seeking behaviours and the intake of nutritional supplements. Mobile messaging-based behaviour change interventions can significantly improve maternal health-related knowledge and care-seeking amongst women residing in marginalised, hard-to-reach populations.
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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 | 0.001 |
| 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".