Uncovering the Reasons Behind Maternal Care Dropout in Bangladesh: Cross-sectional study (Preprint)
Notice bibliographique
Résumé
Background: Utilization of the maternal continuum of care (CoC)-comprising adequate antenatal care (ANC), skilled birth attendance, and postnatal care (PNC)-is critical for improving maternal and child health outcomes. However, dropout from the CoC remains substantial in Bangladesh, with women discontinuing services at different stages of pregnancy, delivery, and postpartum care. Objective: This study aimed to quantify maternal dropout at each stage of the CoC and identify socioeconomic and demographic factors associated with discontinuity, comparing two nationally representative survey rounds. Methods: Data were drawn from the Bangladesh Demographic and Health Surveys (BDHS) 2017-2018 and 2022. Women aged 15 to 49 years with a live birth in the preceding 2 to 3 years were included. Completion of full CoC was defined as receiving at least 4 ANC visits, delivering with a skilled birth attendant, and obtaining at least 1 PNC contact within 48 hours of delivery. Predisposing (age, education, parity, religion, and division), enabling (wealth index, media exposure, health care access, and residence), and need factors (terminated pregnancy and desired pregnancy status) were identified using the Andersen Behavioral Model. Survey-weighted multivariable logistic regression models were fitted for each CoC component and overall CoC completion, with interaction terms to assess whether associations differed between survey rounds. Results: Among 8424 mothers, 27.9% (n=2350) failed to complete all components of the maternal CoC. Dropout was highest at the ANC stage (n=4962, 55.7%), followed by PNC (n=3976, 47.2%) and skilled birth attendant-assisted delivery (n=3378, 40.1%). Between survey rounds, overall CoC dropout decreased significantly from 31.9% (BDHS 2017-2018) to 22.4% (BDHS 2022), reflecting modest improvements in service continuity. Factors significantly associated with higher odds of CoC dropout included lower maternal education (adjusted odds ratio [AOR] 2.70, 95% CI 1.94-3.77; P<.001), higher parity (AOR 2.73, 95% CI 2.12-3.50; P<.001), lower wealth quintiles (AOR 4.04, 95% CI 3.02-5.41; P<.001), and rural residence (AOR 1.40, 95% CI 1.18-1.67; P<.001). Protective factors included older maternal age at delivery (AOR 0.56, 95% CI 0.42-0.74; P<.001) and history of ever-terminated pregnancy (AOR 0.74, 95% CI 0.63-0.86; P<.001). Significant temporal interactions (all P<.05) indicated that the strength of associations for education, parity, religion, wealth, media exposure, health care access barriers, residence, and pregnancy desire differed between survey rounds, reflecting changing determinants of CoC engagement amid policy reforms and pandemic disruptions. Conclusions: Maternal, socioeconomic, and geographic factors are strongly associated with discontinuity along the maternal health care continuum in Bangladesh. Statistically significant temporal variations underscore the impact of evolving health policies and system disruptions on maternal service utilization patterns. Targeted, area-specific interventions addressing these determinants across all CoC components are essential to improve maternal health care retention and achieve better maternal and child health outcomes.
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| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
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