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Background: Reducing inequality in maternal, neonatal and infant mortality are key targets in the Sustainable Development Goals. This study is the first to evaluate the impact of Indonesia's national health insurance scheme, Jaminan Kesehatan Nasional (JKN), on access to maternal health services by sociodemographic status.Methods: Using data from the 2017 Indonesia Demographic and Health Survey (IDHS) on women with live births in 2016-2017, we conducted propensity score matching (PSM) analysis to evaluate the association of JKN enrollment on the following maternal health care utilisation outcomes: (1) at least four antenatal care (ANC4+) visits; (2) ANC4+ visits and received essential components of ANC; (3) skilled birth attendance; (4) facility-based delivery; (5) post-natal care (PNC); and (6) PNC with skilled provider. Analyses were conducted at the national level and by economic subgroup and region of residence. Additionally, we investigated the potential negative impact of JKN on access to maternal health services among the uninsured population by looking at trends over time using data from the 2012 and 2017 IDHS.Results: Of the 5429 women who had recently given birth, 61% were insured by JKN in 2017. After matching treated and untreated women on key sociodemographic characteristics, enrollment in JKN was associated with a higher prevalence of receiving ANC4+ visits (7.4%, 95% confidence interval (CI) = 4.8-9.39); ANC4+ visits and received essential components of ANC (5.6%, 95% CI = 3.3-7.9); skilled birth attendance (3.0%, 95% CI = 1.5-4.5; facility-based delivery (10.2%, 95% CI = 7.5-12.7); PNC (4.0%, 95% CI = 2.2-5.7); PNC with skilled provider (4.5%, 95% CI = 2.6-6.5). Effect sizes were larger among the poor and those living in less-developed areas, such as Eastern Indonesia and Sulawesi, except for at least ANC4+ and received clinical components.Conclusions: Expansion of health insurance coverage was associated with reductions in sociodemographic inequalities in access to maternal health services in Indonesia. However, large differences in utilisation persist across regions and by economic subgroup. Accelerating progress toward universal health coverage may reduce health inequalities in other low and middle-income countries. [ABSTRACT FROM AUTHOR]

The aim of the study was to identify determinants of exclusive breastfeeding (EBF) at the individual, family, community, and organizational level. This study was a secondary analysis of data from a multilevel promotion of EBF program in two rural public health centers (PHCs) in the Demak district, Central Java, Indonesia. The program was a quasi-experimental study with a pretest-posttest control group. A total of 599 participants were enrolled, consisting of 163 mother infant pairs, 163 fathers, 163 grandmothers, 82 community leaders, and 28 midwives. EBF duration and its determinants were measured and analyzed using Cox proportional-hazard model. Mothers with a high level of breastfeeding knowledge had the greatest EBF duration. Mothers who had a knowledge score >80 had a 73 % (HR 0.27, 95 % CI 0.15, 0.48) greater chance of EBF compared to mothers who had a knowledge score of <60. Factors which shortened EBF duration were grandmother's lack of support for EBF (HR 2.04, 95 % CI 1.33, 3.14), received formula samples at discharge (HR 1.99, 95 % CI 1.25, 3.16), and maternal experience of breast engorgement (HR 1.97, 95 % CI 1.32, 2.94). High maternal breastfeeding knowledge was the only factor associated with longer duration of EBF. Barriers to EBF were breast engorgement, receiving formula samples at discharge, and a grandmother's lack of support for EBF. [ABSTRACT FROM AUTHOR]

Background: Because most deaths in Africa and Asia are not well documented, estimates of mortality are often made using scanty data. The INDEPTH Network works to alleviate this problem by collating detailed individual data from defined Health and Demographic Surveillance sites. By registering all deaths over time and carrying out verbal autopsies to determine cause of death across many such sites, using standardised methods, the Network seeks to generate population-based mortality statistics that are not otherwise available. Objective: To build a large standardised mortality database from African and Asian sites, detailing the relevant methods, and use it to describe cause-specific mortality patterns. Design: Individual demographic and verbal autopsy (VA) data from 22 INDEPTH sites were collated into a standardised database. The INDEPTH 2013 population was used for standardisation. The WHO 2012 VA standard and the InterVA-4 model were used for assigning cause of death. Results: A total of 111,910 deaths occurring over 12,204,043 person-years (accumulated between 1992 and 2012) were registered across the 22 sites, and for 98,429 of these deaths (88.0%) verbal autopsies were successfully completed. There was considerable variation in all-cause mortality between sites, with most of the differences being accounted for by variations in infectious causes as a proportion of all deaths. Conclusions: This dataset documents individual deaths across Africa and Asia in a standardised way, and on an unprecedented scale. While INDEPTH sites are not constructed to constitute a representative sample, and VA may not be the ideal method of determining cause of death, nevertheless these findings represent detailed mortality patterns for parts of the world that are severely under-served in terms of measuring mortality. Further papers explore details of mortality patterns among children and specifically for NCDs, external causes, pregnancy-related mortality, malaria, and HIV/AIDS. Comparisons will also be made where possible with other findings on mortality in the same regions. Findings presented here and in accompanying papers support the need for continued work towards much wider implementation of universal civil registration of deaths by cause on a worldwide basis. [ABSTRACT FROM AUTHOR]