Utilisation of maternal and child health handbook in Mongolia: A cross-sectional study
Why this work is in the frame
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Bibliographic record
Abstract
Objective: This study investigated the use of a Maternal and Child Health (MCH) handbook, and related factors, in Mongolia. Design: Population-based cross-sectional study. Setting: Bulgan Province, Mongolia. Method: MCH handbook use was determined by examining whether participants had read it or recorded their health-related information into it. Multiple logistic regression analysis was performed to reveal factors related to MCH handbook utilisation. Results: Of the 716 participants, 631 (88.1%) read the MCH handbook and 428 (59.8%) recorded their health-related information in it. Mothers with middle or high educational attainment were more likely to have read it than were those with low educational attainment (adjusted odds ratio [AOR] = 2.52, 95% confidence interval [CI] = 1.41–4.50; AOR = 3.19, 95% CI = 1.29–7.93, respectively). Literate women and those who had been taught to use the handbook were more likely to read it (AOR = 3.19, 95% CI = 1.68–6.05; AOR = 2.42, 95% CI = 1.31–4.46, respectively). Mothers with a middle or very high wealth index were more likely to have read it than were those with a very low index. Mothers with middle or high educational attainment were more likely to make records in it than were those with low attainment. Mothers who were taught to use the handbook were more likely to make records in it, while those who had children with chronic diseases were less likely to do so. Conclusion: Women’s literacy levels, educational attainment, economic status and effective explanation of its usage must be considered in order to enhance the handbook’s effectiveness.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it