SummaryBackgroundModelled mortality estimates have been useful for health programmes in low-income and middle-income countries. However, these estimates are often based on sparse and low-quality data. We aimed to generate high quality data about the burden, timing, and causes of maternal deaths, stillbirths, and neonatal deaths in south Asia and sub-Saharan Africa.MethodsIn this prospective cohort study done in 11 community-based research sites in south Asia and sub-Saharan Africa, between July, 2012, and February, 2016, we conducted population-based surveillance of women of reproductive age (15–49 years) to identify pregnancies, which were followed up to birth and 42 days post partum. We used standard operating procedures, data collection instruments, training, and standardisation to harmonise study implementation across sites. Verbal autopsies were done for deaths of all women of reproductive age, neonatal deaths, and stillbirths. Physicians used standardised methods for cause of death assignment. Site-specific rates and proportions were pooled at the regional level using a meta-analysis approach.FindingsWe identified 278 186 pregnancies and 263 563 births across the study sites, with outcomes ascertained for 269 630 (96·9%) pregnancies, including 8761 (3·2%) that ended in miscarriage or abortion. Maternal mortality ratios in sub-Saharan Africa (351 per 100 000 livebirths, 95% CI 168–732) were similar to those in south Asia (336 per 100 000 livebirths, 247–458), with far greater variability within sites in sub-Saharan Africa. Stillbirth and neonatal mortality rates were approximately two times higher in sites in south Asia than in sub-Saharan Africa (stillbirths: 35·1 per 1000 births, 95% CI 28·5–43·1 vs 17·1 per 1000 births, 12·5–25·8; neonatal mortality: 43·0 per 1000 livebirths, 39·0–47·3 vs 20·1 per 1000 livebirths, 14·6–27·6). 40–45% of pregnancy-related deaths, stillbirths, and neonatal deaths occurred during labour, delivery, and the 24 h postpartum period in both regions. Obstetric haemorrhage, non-obstetric complications, hypertensive disorders of pregnancy, and pregnancy-related infections accounted for more than three-quarters of maternal deaths and stillbirths. The most common causes of neonatal deaths were perinatal asphyxia (40%, 95% CI 39–42, in south Asia; 34%, 32–36, in sub-Saharan Africa) and severe neonatal infections (35%, 34–36, in south Asia; 37%, 34–39 in sub-Saharan Africa), followed by complications of preterm birth (19%, 18–20, in south Asia; 24%, 22–26 in sub-Saharan Africa).InterpretationThese results will contribute to improved global estimates of rates, timing, and causes of maternal and newborn deaths and stillbirths. Our findings imply that programmes in sub-Saharan Africa and south Asia need to further intensify their efforts to reduce mortality rates, which continue to be high. The focus on improving the quality of maternal intrapartum care and immediate newborn care must be further enhanced. Efforts to address perinatal asphyxia and newborn infections, as well as preterm birth...

BackgroundThe WHO recommends maternity waiting homes (MWH) as one intervention to improve maternal and newborn health. However, persistent structural, cultural and financial barriers in their design and implementation have resulted in mixed success in both their uptake and utilization. Guidance is needed on how to design a MWH intervention that is acceptable and sustainable. Using formative research and guided by a sustainability framework for health programs, we systematically collected data from key stakeholders and potential users in order to design a MWH intervention in Zambia that could overcome multi-dimensional barriers to accessing facility delivery, be acceptable to the community and be financially and operationally sustainable.Methods and findingsWe used a concurrent triangulation study design and mixed methods. We used free listing to gather input from a total of 167 randomly sampled women who were pregnant or had a child under the age of two (n = 59), men with a child under the age of two (n = 53), and community elders (n = 55) living in the catchment areas of four rural health facilities in Zambia. We conducted 17 focus group discussions (n = 135) among a purposive sample of pregnant women (n = 33), mothers-in-law (n = 32), traditional birth attendants or community maternal health promoters (n = 38), and men with a child under two (n = 32). We administered 38 semi-structured interviews with key informants who were identified by free list respondents as having a stake in the condition and use of MWHs. Lastly, we projected fixed and variable recurrent costs for operating a MWH.Respondents most frequently mentioned distance, roads, transport, and the quality of MWHs and health facilities as the major problems facing pregnant women in their communities. They also cited inadequate advanced planning for delivery and the lack of access to delivery supplies and baby clothes as other problems. Respondents identified the main problems of MWHs specifically as over-crowding, poor infrastructure, lack of amenities, safety concerns, and cultural issues. To support operational sustainability, community members were willing to participate on oversight committees and contribute labor. The annual fixed recurrent cost per 10-bed MWH was estimated as USD543, though providing food and charcoal added another $3,000USD. Respondents identified water pumps, an agriculture shop, a shop for baby clothes and general goods, and grinding mills as needs in their communities that could potentially be linked with an MWH for financial sustainability.ConclusionsFindings informed the development of an intervention model for renovating existing MWH or constructing new MWH that meets community standards of safety, comfort and services offered and is aligned with government policies related to facility construction, ownership, and access to health services. The basic strategies of the new MWH model include improving community acceptability, strengthening governance and accountability, and building upon existing efforts to foster financial...

IntroductionMaternity waiting homes (MWHs) aim to improve access to facility delivery in rural areas. However, there is limited rigorous evidence of their effectiveness. Using formative research, we developed an MWH intervention model with three components: infrastructure, management and linkage to services. This protocol describes a study to measure the impact of the MWH model on facility delivery among women living farthest (≥10 km) from their designated health facility in rural Zambia. This study will generate key new evidence to inform decision-making for MWH policy in Zambia and globally.Methods and analysisWe are conducting a mixed-methods quasiexperimental impact evaluation of the MWH model using a controlled before-and-after design in 40 health facility clusters. Clusters were assigned to the intervention or control group using two methods: 20 clusters were randomly assigned using a matched-pair design; the other 20 were assigned without randomisation due to local political constraints. Overall, 20 study clusters receive the MWH model intervention while 20 control clusters continue to implement the ‘standard of care’ for waiting mothers. We recruit a repeated cross section of 2400 randomly sampled recently delivered women at baseline (2016) and endline (2018); all participants are administered a household survey and a 10% subsample also participates in an in-depth interview. We will calculate descriptive statistics and adjusted ORs; qualitative data will be analysed using content analysis. The primary outcome is the probability of delivery at a health facility; secondary outcomes include utilisation of MWHs and maternal and neonatal health outcomes.Ethics and disseminationEthical approvals were obtained from the Boston University Institutional Review Board (IRB), University of Michigan IRB (deidentified data only) and the ERES Converge IRB in Zambia. Written informed consent is obtained prior to data collection. Results will be disseminated to key stakeholders in Zambia, then through open-access journals, websites and international conferences.Trial registration numberNCT02620436; Pre-results.

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