Relationship between maternal healthcare utilisation and empowerment among women in Bangladesh: evidence from a nationally representative cross-sectional study
Bibliographic record
Abstract
OBJECTIVE: To examine the relationship between women's empowerment and maternal healthcare utilisation in Bangladesh. DESIGN: This cross-sectional study uses data from the most recent nationally representative Bangladesh Demographic and Health Survey, 2017-2018. SETTING: Bangladesh. PARTICIPANTS: Married women aged 15-49 years who had a live birth within the 3 years preceding the survey (n=4767). PRIMARY AND SECONDARY OUTCOME MEASURES: Women's empowerment was measured using the recently developed and validated survey-based Women's emPowERment (SWPER) index. The index includes three domains: social independence, decision-making and attitude to violence. Outcomes included utilisation of at least one antenatal care from skilled providers (ANC1), at least four antenatal care visits (≥4 ANC), delivery assisted by a skilled birth attendant (SBA) and a postnatal visit within 2 days of delivery (PNC). Logistic regression analyses were used to assess the identified relationships. RESULTS: Among participants, 83% received ANC1, 46.3% received ≥4 ANC, 51.9% reported SBA and 50.9% sought PNC. Women with high levels of social empowerment relative to those with low levels were more likely to use ANC1 (adjusted OR (AOR) 1.85; 95% CI 1.40 to 2.45), ≥4 ANC (AOR 1.55; 95% CI 1.27 to 1.90), SBA (AOR 2.12; 95% CI 1.71 to 2.62) and PNC (AOR 1.95; 95% CI 1.56 to 2.44). Compared with women with low levels of decision-making empowerment, women with high levels were more likely to use SBA (AOR 1.49; 95% CI 1.21 to 1.83) and PNC (AOR 1.47; 95% CI 1.19 to 1.81). Additionally, significant inequality was observed among women moving from low to high empowerment in all domains of the empowerment index. CONCLUSIONS: Higher empowerment levels were positively associated with maternal healthcare utilisation in Bangladesh. Our findings suggest the need to address women's empowerment in policies aiming to expand health service utilisation.
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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 | 0.001 | 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 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".