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Background: For countries to contribute to Sustainable Development Goal 3.1 of reducing the global maternal mortality ratio (MMR) to less than 70 per 100,000 live births by 2030, identifying the drivers of maternal mortality is critically important. The ability of countries to identify the key drivers is however hampered by the lack of data sources with sufficient observations of maternal death to allow a rigorous analysis of its determinants. This paper overcomes this problem by utilising census data. In the context of Indonesia, we merge individual-level data on pregnancy-related deaths and households’ socio-economic status from the 2010 Indonesian population census with detailed data on the availability and quality of local health services from the Village Census. We use these data to test the hypothesis that health service access and quality are important determinants of maternal death and explain the differences between high maternal mortality and low maternal mortality provinces. Methods: The 2010 Indonesian Population Census identifies 8075 pregnancy-related deaths and 5,866,791 live births. Multilevel logistic regression is used to analyse the impacts of demographic characteristics and the existence of, distance to and quality of health services on the likelihood of maternal death. Decomposition analysis quantifies the extent to which the difference in maternal mortality ratios between high and low performing provinces can be explained by demographic and health service characteristics. Findings: Health service access and characteristics account for 23% (CI: 17.2% to 28.5%) of the difference in maternal mortality ratios between high and low-performing provinces. The most important contributors are the number of doctors working at the community health centre (8.6%), the number of doctors in the village (6.9%) and distance to the nearest hospital (5.9%). Distance to health clinics and the number of midwives at community health centres and village health posts are not significant contributors, nor is socio-economic status. If the same level of access to doctors and hospitals in lower maternal mortality Java-Bali was provided to the higher maternal mortality Outer Islands of Indonesia, our model predicts 44 deaths would be averted per 100,000 pregnancies. Conclusion: Indonesia has employed a strategy over the past several decades of increasing the supply of midwives as a way of decreasing maternal mortality. While there is evidence of reductions in maternal mortality continuing to accrue from the provision of midwife services at village health posts, our findings suggest that further reductions in maternal mortality in Indonesia may require a change of focus to increasing the supply of doctors and access to hospitals. If data on maternal death is collected in a subsequent census, future research using two waves of census data would prove a useful validation of the results found here. Similar research using census data from other countries is also likely to be fruitful. [ABSTRACT FROM AUTHOR]

Background: The Maternal Mortality Ratio in Mozambique has stagnated at 405 deaths per 100,000 live births with virtually no progress over the last 15 years. Low Institutional Birth Rates (IBRs) levelling around 50% in many rural areas constitute one of the contributing reasons. Demand-side financing has successfully increased usage of maternal health services in other countries, but little information exists on in-kind incentives in rural Africa. The objective was to test the impact on Institutional Birth Rates of giving a USD 5.50 baby package incentive to every woman who came to give birth in a health centre in a rural, poor district of Cabo Delgado, Mozambique. Methods and findings: The intervention was implemented in one district in 2010 with the remaining 15 districts serving as controls. The total population in the 16 districts in 2006 was just under 1.5 million people. IBRs were observed from 2006 to 2013 (53 months before and 55 months after the intervention began). The non-intervention districts showed a slight increase, from a mean IBR of 0.39 (SD = 0.10) in 2006 to 0.67 (SD = 0.13) in 2014. The intervention district had a dramatic increase in IBRs within six months of the start of the intervention in 2010, which was sustained until the end of the study. Adjusting for the background increase and for confounders, including health facilities and health personnel per district, and taking clustering in districts into account, the estimated rate ratio of institutional births in the intervention district was 1.80 (95% CI 1.72, 1.89 p<0.001). Conclusion: Women were almost twice as likely to have an institutional birth following the introduction of the baby package. [ABSTRACT FROM AUTHOR]

Background: Improving quality of maternal healthcare services is key to reducing maternal mortality across developing nations, including India. Expanding access to institutionalized care alone has failed to address critical quality barriers to safe, effective, patient-centred, timely and equitable care. Multi-dimensional quality improvement focusing on Person Centred Care(PCC) has an important role in expanding utilization of maternal health services and reducing maternal mortality. Methods: Nine public health facilities were selected in two rural districts of Uttar Pradesh(UP), India, to understand women’s experiences of childbirth and identify quality gaps in the process of maternity care. 23 direct, non-participant observations of uncomplicated vaginal deliveries were conducted using checklists with special reference to PCC, capturing quality of care provision at five stages—admission; pre-delivery; delivery; post-delivery and discharge. Data was thematically analysed using the framework approach. Case studies, good practices and gaps were noted at each stage of delivery care. Results: Admission to maternity wards was generally prompt. All deliveries were conducted by skilled providers and at least one staff was available at all times. Study findings were discussed under two broad themes of care ‘structure’ and ‘process’. While infrastructure, supplies and human resource were available across most facilities, gaps were observed in the process of care, particularly during delivery and post-delivery stages. Key areas of concern included compromised patient safety like poor hand hygiene, usage of unsterilized instruments; inadequate clinical care like lack of routine monitoring of labour progression, inadequate postpartum care; partially compromised privacy in the labour room and postnatal ward; and few incidents of abuse and demand for informal payments. Conclusions: The study findings reflect gaps in the quality of maternity care across public health facilities in the study area and support the argument for strengthening PCC as an important effort towards quality improvement across the continuum of delivery care. [ABSTRACT FROM AUTHOR]

Background: Maternity care has to be available 24 hours a day, seven days a week. It is known that obstetric intervention can influence the time of birth, but no previous analysis at a national level in England has yet investigated in detail the ways in which the day and time of birth varies by onset of labour and mode of giving birth. Method: We linked data from birth registration, birth notification, and Maternity Hospital Episode Statistics and analysed 5,093,615 singleton births in NHS maternity units in England from 2005 to 2014. We used descriptive statistics and negative binomial regression models with harmonic terms to establish how patterns of timing of birth vary by onset of labour, mode of giving birth and gestational age. Results: The timing of birth by time of day and day of the week varies considerably by onset of labour and mode of birth. Spontaneous births after spontaneous onset are more likely to occur between midnight and 6am than at other times of day, and are also slightly more likely on weekdays than at weekends and on public holidays. Elective caesarean births are concentrated onto weekday mornings. Births after induced labours are more likely to occur at hours around midnight on Tuesdays to Saturdays and on days before a public holiday period, than on Sundays, Mondays and during or just after a public holiday. Conclusion: The timing of births varies by onset of labour and mode of birth and these patterns have implications for midwifery and medical staffing. Further research is needed to understand the processes behind these findings. [ABSTRACT FROM AUTHOR]