Practices and determinants of delivery by skilled birth attendants in Bangladesh
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: Utilization of Skilled Birth Attendants (SBAs) at birth is low (20%) in Bangladesh. Birth attendance by SBAs is considered as the "single most important factor in preventing maternal deaths". This paper examined the practices and determinants of delivery by SBAs in rural Bangladesh. METHODS: The data come from the post-intervention survey of a cluster-randomized community controlled trial conducted to evaluate the impact of limited post-natal care (PNC) services on healthcare seeking behavior of women with a recent live birth in rural Bangladesh (n = 702). Multivariable logistic regression model was used to identify the potential determinants of delivery by SBAs. RESULTS: The respondents were aged between 16 and 45, with the mean age of 24.41 (± 5.03) years. Approximately one-third (30.06%) of the women had their last delivery by SBAs. Maternal occupation, parity, complications during pregnancy and antenatal checkup (ANC) by SBAs were the significant determinants of delivery by SBAs. Women who took antenatal care by SBAs were 2.62 times as likely (95% CI: 1.66, 4.14; p < 0.001) to have their delivery conducted by SBAs compared to those who did not, after adjusting for other covariates. CONCLUSION: Our findings suggest that ANC by SBAs and complications during pregnancies are significant determinants of delivery by SBAs. Measure should be in place to promote antenatal checkup by SBAs to increase utilization of SBAs at birth in line with achieving the Millennium Development Goal-5. Future research should focus in exploring the unmet need for, and potential barriers in, the utilization of delivery by SBAs.
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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