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Objective: This paper analyses the optimal utilization of maternal health services in Indonesia from 2015 to 2018., Design: National cross-sectional study., Setting: This study takes place in 34 provinces in Indonesia., Participants: The population in this study were mothers in all household members in Basic Health Research of Riskesdas 2018. The sample was all mothers who had a live birth within 5 years before data collection (1 January 2013 to July 2018) and had complete data. The number of samples analysed was 70 878., Primary Outcome: We developed a scoring for the optimal utilization of maternal health services as the outcome variable., Results: This analysis involved 70 787 mothers. The utilization of maternal care was not optimal. Mothers who delivered in health facilities achieved 83.3% of services. Better care is experienced more by mothers who live in urban areas. Mothers who delivered at health facilities significantly used threefold optimal care (ORa=3.15; 95% CI 3.00 to 3.30; p<0001). A statistically significant difference of optimal maternal care was found in mothers with better education (ORa=1.22; 95% CI 1.18 to 1.27; p=0.001); holding health insurance (ORa=1.25; 95% CI 1.21 to 1.30; p<0001), having more access to health facilities (ORa=1.13; 95% CI 1.09 to 1.17); p<0.001), less parity (ORa=1.16; 95% CI 1.11 to 1.20; p<0.001)., Conclusion: The optimal utilization of MHS is independent of the free services delivery, but having health insurance and less parity brought about a better optimal score for MHS. Mothers in rural areas were more protective of optimal utilization. Finally, the eastern region used more optimal health services., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Maternal Mortality Ratio (MMR) in Indonesia is still high, 305, compared to 240 deaths per 100,000 in South East Asian Region. The use of Traditional Birth Attendance (TBA) as a cascade for maternal health and delivery, suspected to be the pocket of the MMR problem. The study aimed to assess the influence of traditional practices on maternal health services in Indonesia., Methods: We used two data sets of national surveys for this secondary data analysis. The samples included 14,798 mothers whose final delivery was between January 2005 and August 2010. The dependent variables were utilization of maternal healthcare, including receiving antenatal care (ANC≥4), attended by skilled birth attendance (SBA), and having a facility-based delivery (FBD). The independent variables were the use of traditional practices, type of family structure, and TBA density. We run a Multivariate logistic regression for the analysis by controlling all the covariates., Results: Traditional practices and high TBA density have significantly inhibited the mother's access to maternal health services. Mothers who completed antenatal care were 15.6% lost the cascade of facility-based delivery. The higher the TBA population, the lower cascade of the use of Maternal Health Services irrespective of the economic quintile. Mothers in villages with a high TBA density had significantly lower odds (AOR = 0.30; CI = 0.24-0.38; p<0.01) than mothers in towns with low TBA density. Moreover, mothers who lived in an extended family had positively significantly higher odds (AOR = 1.33, CI = 1.17-1.52; p<0.01) of using maternal health services., Discussion: Not all mothers who have received proper antenatal delivered the baby in health care facilities or preferred a traditional birth attendance instead. Traditional practices influenced the ideal utilization of maternal health care. Maternal health care utilization can be improved by community empowerment through the maternal health policy to easier mothers get delivery in a health care facility., Competing Interests: Support for this work was provided by Palladium. There are no patents, products in development or marketed products to declare. This does not alter our adherence to PLOS ONE policies on sharing data and materials.