Antenatal care among ethnic populations in Louang Namtha Province, Lao PDR.
Bibliographic record
Abstract
One in 33 women in Lao PDR dies due to pregnancy-related causes, which is the highest in Southeast Asia. This study assessed ANC utilization rates and the determinants for these rates; it also explored rural maternal decision-making regarding the place of delivery and immunizations for their children under age five years. A cross-sectional study was carried out in Viengphukha District, Louang Namtha Province, Lao PDR in January 2008. Of 1,005 household representatives, 620 who had children age under five years were interviewed using a semi-structured questionnaire. Nearly one-quarter of mothers (23.4%) had at least one ANC visit during their most recent pregnancy, of which 4.5% had > or = 4 ANC visits. ANC visit rates among lowland and midland mothers were 3.6 and 7.6 times higher than highland mothers, respectively (p < 0.005 and p < 0.001). Mothers with no ANC were more likely to deliver at home (adjusted OR = 18.0; p < 0.0001). Home deliveries were more common among highland than lowland mothers (adjusted OR = 10.5; p < 0.05). Children born to mothers who had no ANC visit were more likely to not complete routine immunization than those who were born to mothers who had ANC visits (adjusted OR = 1.9; p < 0.01). Low ANC utilization rates in Lao PDR were observed among ethnic minority mothers who were less educated. ANC visits enhanced hospital deliveries and child immunizations. The promotion of ANC among women in remote rural communities is needed.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".