Social inequalities in the utilization of maternal care in Bangladesh: Have they widened or narrowed in recent years?
Bibliographic record
Abstract
BACKGROUND: Notwithstanding the significant progress in reducing maternal mortality in recent years, social inequalities in the utilization of maternal care continue to be a challenge in Bangladesh. In this study, we aim to provide a comprehensive analysis of trends in social inequalities in utilization of antenatal care (ANC), facility based delivery (FBD), and skilled birth attendance (SBA) in Bangladesh between 1995 and 2010. METHODS: Data were extracted from the five latest rounds of Bangladesh Demographic Health Surveys (BDHS). The Theil index (T) and between-group variance (BGV) were used to calculate relative and absolute disparities in the utilization of three measures (ANC, FBD, and SBA) of maternal care across six administrative regions. The relative and slope indices of inequality (RII and SII, respectively) were also used to calculate wealth- and education-based inequality in the utilization of maternal care. RESULTS: The results of the T-index suggest that relative inequality in SBA has declined by 0.2% per year. Nevertheless, the estimated BGV demonstrated that absolute inequalities in all three measures of maternal care have increased across administrative divisions. For all three measures of maternal care, the RII and SII indicated consistent socioeconomic inequalities favouring wealthier and more educated women. The adjusted RII suggested that wealth- and education-related inequalities for ANC declined by 9% and 6%, respectively, per year during the study period. The adjusted SII, however, showed that wealth- and education-related inequalities for FBD increased by 0.6% per year. CONCLUSIONS: Although socially disadvantaged mothers increased their utilization of care relative to mothers of higher socioeconomic status, the absolute gap in utilization of care between socioeconomic groups has increased over time. Our findings indicate that wealthier and more educated women, as well as those living in urban areas, are the major users of ANC, FBD and SBA in Bangladesh. Thus, priority focus should be given to implementing and evaluating interventions that benefit women who are poorer, less educated and live in rural areas.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".