Institutional deliveries and stillbirth and neonatal mortality in the Global Network's Maternal and Newborn Health Registry

Delays in accessing high-quality care for newborns in East Africa: An analysis of survey data in Malawi, Mozambique, and Tanzania

Background

Despite the existence of evidence-based interventions, substantial progress in reducing neonatal mortality is lagging, indicating that small and sick newborns (SSNs) are likely not receiving the care they require to survive and thrive. The 'three delays model' provides a framework for understanding the challenges in accessing care for SSNs. However, the extent to which each delay impacts access to care for SSNs is not well understood. To fill this evidence gap, we explored the impact of each of the three delays on access to care for SSNs in Malawi, Mozambique, and Tanzania.

Methods

Secondary analyses of data from three different surveys served as the foundation of this study. To understand the impact of delays in the decision to seek care (delay 1) and the ability to reach an appropriate point of care (delay 2), we investigated time trends in place of birth disaggregated by facility type. We also explored care-seeking behaviours for newborns who died. To understand the impact of delays in accessing high-quality care after reaching a facility (delay 3), we measured facility readiness to manage care for SSNs. We used this measure to adjust institutional delivery coverage for SSN care readiness.

Results

Coverage of institutional deliveries was substantially lower after adjusting for facility readiness to manage SSN care, with decreases of 30 percentage points (pp) in Malawi, 14 pp in Mozambique, and 24 pp in Tanzania. While trends suggest more SSNs are born in facilities, substantial gaps remain in facilities' capacities to provide lifesaving interventions. In addition, exploration of care-seeking pathways revealed that a substantial proportion of newborn deaths occurred outside of health facilities, indicating barriers in the decision to seek care or the ability to reach an appropriate source of care may also prevent SSNs from receiving these interventions.

Conclusions

Investments are needed to overcome delays in accessing high-quality care for the most vulnerable newborns, those who are born small or sick. As more mothers and newborns access health services in low- and middle-income countries, ensuring that life-saving interventions for SSNs are available at the locations where newborns are born and seek care after birth is critical.

Coverage, Trends, and Inequalities of Maternal, Newborn, and Child Health Indicators among the Poor and Non-Poor in the Most Populous Cities from 38 Sub-Saharan African Countries

Rapid urbanization is likely to be associated with suboptimal access to essential health services. This is especially true in cities from sub-Saharan Africa (SSA), where urbanization is outpacing improvements in infrastructure. We assessed the current situation in regard to several markers of maternal, newborn, and child health, including indicators of coverage of health interventions (demand for family planning satisfied with modern methods, at least four antenatal care visits (ANC4+), institutional birth, and three doses of DPT vaccine[diphtheria, pertussis and tetanus]) and health status (stunting in children under 5 years, neonatal and under-5 mortality rates) among the poor and non-poor in the most populous cities from 38 SSA countries. We analyzed 136 population-based surveys (year range 2000-2019), contrasting the poorest 40% of households (referred to as poor) with the richest 60% (non-poor). Coverage in the most recent survey was higher for the city non-poor compared to the poor for all interventions in virtually all cities, with the largest median gap observed for ANC4+ (13.5 percentage points higher for the non-poor). Stunting, neonatal, and under-5 mortality rates were higher among the poor (7.6 percentage points, 21.2 and 10.3 deaths per 1000 live births, respectively). The gaps in coverage between the two groups were reducing, except for ANC4, with similar median average annual rate of change in both groups. Similar rates of change were also observed for stunting and the mortality indicators. Continuation of these positive trends is needed to eliminate inequalities in essential health services and child survival in SSA cities.

Neonatal mortality among preterm infants admitted to neonatal intensive care units in India and Pakistan: A prospective study

OBJECTIVE

To explore potential reasons for differences in preterm neonatal mortality in neonatal intensive care units (NICUs) in India and Pakistan.

DESIGN

A prospective observational study, the Project to Understand and Research Stillbirth and Preterms in Southeast Asia (PURPOSe) was conducted July 2018 to February 2020.

SETTING

Three hospitals in Davangere, India, and a large public hospital in Karachi, Pakistan.

POPULATION

Of a total of 3,202 preterm infants enrolled, 1,512 were admitted to a study NICU.

METHODS

We collected data for neonates, including length of stay, diagnoses, and diagnostic tests.

MAIN OUTCOME MEASURES

Neonatal mortality, tests performed, diagnoses ascertained.

RESULTS

For infants of equivalent weights and gestational ages, neonatal mortality in Pakistan was twice that in the Indian NICU. The mean newborn length of stay in Pakistan was 2 days compared with 10 days for India. Fewer diagnostics and other investigations were used to determine neonatal condition or guide treatment in the Pakistani NICU. Because of limited information from testing in Pakistan concerning clinical respiratory distress, respiratory distress syndrome appeared to be over-diagnosed, whereas other conditions including pneumonia, sepsis, necrotising entercolitis and intraventricular haemorrhage were rarely diagnosed.

CONCLUSION

In the Pakistani site, the limited resources available to the NICU appeared related to a shorter length of stay and decreased diagnostic testing, likely explaining the higher mortality. With improved care, reduction in mortality among preterm neonates should be achievable.

Maternal and fetal outcomes in pregnant patients with non-cirrhotic portal hypertension: A systematic review and meta-analysis

Background

Concerned studies with respect to the outcome of pregnant patients with non-cirrhotic portal hypertension are limited. Thus, a systematic review and meta-analysis of the available literature was conducted.

Methods

A literature search was conducted from 1999 to December 2021 for studies evaluating pregnancy outcomes in patients with non-cirrhotic portal hypertension.

Results

Twelve studies were included in the meta-analysis. The pooled rate of variceal bleeding, ascites and severe anemia requiring blood transfusion were 9.6%, 2.3%, and 14.9%, respectively. The pooled rate of spontaneous miscarriage, gestational hypertension, delivery by cesarean section, and postpartum hemorrhage were 11.9%, 4.5%, 36.7%, and 4.7%, respectively. The pooled stillbirth rate was 2.5% and among the live births, the pooled rates of preterm birth, low birth weight, intensive care unit admission, and neonatal mortality were 21.6%, 18.7%, 15.5%, and 1.8%, respectively.

Conclusion

Pregnancy in patients with non-cirrhotic portal hypertension is associated with increased maternal & fetal morbidity but mortality remains low.

Prevention of maternal and neonatal death/infections with a single oral dose of azithromycin in women in labour in low-income and middle-income countries (A-PLUS): a study protocol for a multinational, randomised placebo-controlled clinical trial

INTRODUCTION

Maternal and neonatal infections are among the most frequent causes of maternal and neonatal mortality, and current antibiotic strategies have been ineffective in preventing many of these deaths. A randomised clinical trial conducted in a single site in The Gambia showed that treatment with an oral dose of 2 g azithromycin versus placebo for all women in labour reduced certain maternal and neonatal infections. However, it is unknown if this therapy reduces maternal and neonatal sepsis and mortality. In a large, multinational randomised trial, we will evaluate the impact of azithromycin given in labour to improve maternal and newborn outcomes.

METHODS AND ANALYSIS

This randomised, placebo-controlled, multicentre clinical trial includes two primary hypotheses, one maternal and one neonatal. The maternal hypothesis is to test whether a single, prophylactic intrapartum oral dose of 2 g azithromycin given to women in labour will reduce maternal death or sepsis. The neonatal hypothesis will test whether this intervention will reduce intrapartum/neonatal death or sepsis. The intervention is a single, prophylactic intrapartum oral dose of 2 g azithromycin, compared with a single intrapartum oral dose of an identical appearing placebo. A total of 34 000 labouring women from 8 research sites in sub-Saharan Africa, South Asia and Latin America will be randomised with a one-to-one ratio to intervention/placebo. In addition, we will assess antimicrobial resistance in a sample of women and their newborns.

ETHICS AND DISSEMINATION

The study protocol has been reviewed and ethics approval obtained from all the relevant ethical review boards at each research site. The results will be disseminated via peer-reviewed journals and national and international scientific forums.

TRIAL REGISTRATION NUMBER

NCT03871491 (https://clinicaltrials.gov/ct2/show/NCT03871491?term=NCT03871491&draw=2&rank=1).

Maternal mortality, stillbirths, and neonatal mortality: a transition model based on analyses of 151 countries

BACKGROUND

Maternal mortality, stillbirths, and neonatal mortality account for almost 5 million deaths a year and are often analysed separately, despite having overlapping causes and interventions. We propose a comprehensive five-phase mortality transition model to improve analyses of progress and inform strategic planning.

METHODS

In this empirical data-driven study to develop a model transition, we used UN estimates for 151 countries to assess changes in maternal mortality, stillbirths, and neonatal deaths. On the basis of ratios of maternal to stillbirth and neonatal mortality, we identified five phases of transition, in which phase 1 has the highest mortality and phase 5 has the lowest. We used global databases to examine phase-specific characteristics during 2000-20 for causes of death, fertility rates, abortion policies, health workforce and financing, and socioeconomic indicators. We analysed 326 national surveys to assess service coverage and inequalities by transition phase.

FINDINGS

Among 116 countries in phases 1 to 4 in 2000, 73 (63%) progressed at least one phase by 2020, six advanced two phases, and three regressed. The ratio of stillbirth and neonatal deaths to maternal deaths increased from less than 10 in phase 1 to well over 50 in phase 4 and phase 5. Progression was associated with a declining proportion of deaths caused by infectious diseases and peripartum complications, declining total and adolescent fertility rates, changes in health-workforce densities and skills mix (ie, ratio of nurses or midwives to physicians) from phase 3 onwards, increasing per-capita health spending, and reducing shares of out-of-pocket health expenditures. From phase 1 to 5, the median coverage of first antenatal care visits increased from 66% to 98%, four or more antenatal care visits from 44% to 94%, institutional births from 36% to 99%, and caesarean section rates from 2% to 25%. The transition out of high-mortality phases involved a major increase in institutional births, primarily in lower-level health facilities, whereas subsequent progress was characterised by rapid increases in hospital births. Wealth-related inequalities reduced strongly for institutional birth coverage from phase 3 onwards.

INTERPRETATION

The five-phase maternal mortality, stillbirth, and neonatal mortality transition model can be used to benchmark the current indicators in comparison to typical patterns in the transition at national or sub-national level, identify outliers to better assess drivers of progress, and inform strategic planning and investments towards Sustainable Development Goal targets. It can also facilitate programming for integrated strategies to end preventable maternal mortality and neonatal mortality and stillbirths.

FUNDING

Bill & Melinda Gates Foundation.

Investigating Health Inequality Using Trend, Decomposition and Spatial Analyses: A Study of Maternal Health Service Use in Nepal

Objectives: (a) To quantify the level and changes in socioeconomic inequality in the utilization of antenatal care (ANC), institutional delivery (ID) and postnatal care (PNC) in Nepal over a 20-year period; (b) identify key drivers of inequality using decomposition analysis; and (c) identify geographical clusters with low service utilization to inform policy. Methods: Data from the most recent five waves of the Demographic Health Survey were used. All outcomes were defined as binary variables: ANC (=1 if ≥4 visits), ID (=1 if place of delivery was a public or private healthcare facility), and PNC (=1 if ≥1 visits). Indices of inequality were computed at national and provincial-level. Inequality was decomposed into explanatory components using Fairile decomposition. Spatial maps identified clusters of low service utilization. Results: During 1996-2016, socioeconomic inequality in ANC and ID reduced by 10 and 23 percentage points, respectively. For PND, the gap remained unchanged at 40 percentage points. Parity, maternal education, and travel time to health facility were the key drivers of inequality. Clusters of low utilization were displayed on spatial maps, alongside deprivation and travel time to health facility. Conclusion: Inequalities in the utilization of ANC, ID and PNC are significant and persistent. Interventions targeting maternal education and distance to health facilities can significantly reduce the gap.

Antenatal and delivery practices and neonatal mortality amongst women with institutional and non-institutional deliveries in rural Zimbabwe: observational data from a cluster randomized trial

BACKGROUND

Despite achieving relatively high rates of antenatal care, institutional delivery, and HIV antiretroviral therapy for women during pregnancy, neonatal mortality has remained stubbornly high in Zimbabwe. Clearer understanding of causal pathways is required to inform effective interventions.

METHODS

This study was a secondary analysis of data from the Sanitation Hygiene Infant Nutrition Efficacy (SHINE) trial, a cluster-randomized community-based trial among pregnant women and their infants, to examine care during institutional and non-institutional deliveries in rural Zimbabwe and associated birth outcomes.

RESULTS

Among 4423 pregnant women, 529 (11.9%) delivered outside a health institution; hygiene practices were poorer and interventions to minimise neonatal hypothermia less commonly utilised for these deliveries compared to institutional deliveries. Among 3441 infants born in institutions, 592 (17.2%) were preterm (< 37 weeks gestation), while 175/462 (37.9%) infants born outside health institutions were preterm (RR: 2.20 (1.92, 2.53). Similarly, rates of stillbirth [1.2% compared to 3.0% (RR:2.38, 1.36, 4.15)] and neonatal mortality [2.4% compared to 4.8% (RR: 2.01 1.31, 3.10)] were higher among infants born outside institutions. Among mothers delivering at home who reported their reason for having a home delivery, 221/293 (75%) reported that precipitous labor was the primary reason for not having an institutional delivery while 32 (11%), 34 (12%), and 9 (3%), respectively, reported distance to the clinic, financial constraints, and religious/personal preference.

CONCLUSIONS

Preterm birth is common among all infants in rural Zimbabwe, and extremely high among infants born outside health institutions. Our findings indicate that premature onset of labor, rather than maternal choice, may be the reason for many non-institutional deliveries in low-resource settings, initiating a cascade of events resulting in a two-fold higher risk of stillbirth and neonatal mortality amongst children born outside health institutions. Interventions for primary prevention of preterm delivery will be crucial in reducing neonatal mortality in Zimbabwe.

TRIAL REGISTRATION

The trial is registered with ClinicalTrials.gov, number NCT01824940.

Investigation of technical quality of antenatal and perinatal services in a nationally representative sample of health facilities in Nepal

Background

Access to routine antenatal and perinatal services is improved in the last two decades in Nepal. However, gaps remain in coverage and quality of care delivered from the health facilities. This study investigated the delivery of technical quality antenatal and perinatal services from health facilities and their associated determinants in Nepal.

Methods

Data for this study were derived from the Nepal Health Facility Survey 2015. The World Health Organization's Service Availability and Readiness Assessment framework was adopted to assess the technical quality of antenatal and perinatal services of health facilities. Outcome variables included technical quality scores of i) 269 facilities providing antenatal services and ii) 109 facilities providing childbirth and postnatal care services (perinatal care). Technical quality scores of health facilities were estimated adapting recommended antenatal and perinatal interventions. Independent variables included locations and types of health facilities and their management functions (e.g., supervision). We conducted a linear regression analysis to identify the determinants of better technical quality of health services in health facilities. Beta coefficients were exponentiated into odds ratios (ORs) and reported with 95% confidence intervals (CIs). The significance level was set at p-value < 0.05.

Results

The mean score of the technical quality of health facilities for each outcome variable (antenatal and perinatal services) was 0.55 (out of 1.00). Compared to province one, facilities of Madhesh province had 4% lower odds (adjusted OR = 0.96; 95%CI: 0.92, 0.99) of providing better quality antenatal services, while health facilities of Gandaki province had higher odds of providing better quality antenatal services (aOR = 1.05; 95% CI: 1.01, 1.10). Private facilities had higher odds (aOR = 1.13; 95% CI: 1.03, 1.23) of providing better quality perinatal services compared to public facilities.

Conclusions

Private facilities provide better quality antenatal and perinatal health services than public facilities, while health facilities of Madhesh province provide poor quality perinatal services. Health system needs to implement tailored strategies, including recruiting health workers, supervision and onsite coaching and access to necessary equipment and medicine in the facilities of Madhesh province. Health system inputs (trained human resources, equipment and supplies) are needed in the public facilities. Extending the safe delivery incentive programme to the privately managed facilities could also improve access to better quality health services in Nepal.

A mobile-optimized artificial intelligence system for gestational age and fetal malpresentation assessment

Background

Fetal ultrasound is an important component of antenatal care, but shortage of adequately trained healthcare workers has limited its adoption in low-to-middle-income countries. This study investigated the use of artificial intelligence for fetal ultrasound in under-resourced settings.

Methods

Blind sweep ultrasounds, consisting of six freehand ultrasound sweeps, were collected by sonographers in the USA and Zambia, and novice operators in Zambia. We developed artificial intelligence (AI) models that used blind sweeps to predict gestational age (GA) and fetal malpresentation. AI GA estimates and standard fetal biometry estimates were compared to a previously established ground truth, and evaluated for difference in absolute error. Fetal malpresentation (non-cephalic vs cephalic) was compared to sonographer assessment. On-device AI model run-times were benchmarked on Android mobile phones.

Results

Here we show that GA estimation accuracy of the AI model is non-inferior to standard fetal biometry estimates (error difference -1.4 ± 4.5 days, 95% CI -1.8, -0.9, n = 406). Non-inferiority is maintained when blind sweeps are acquired by novice operators performing only two of six sweep motion types. Fetal malpresentation AUC-ROC is 0.977 (95% CI, 0.949, 1.00, n = 613), sonographers and novices have similar AUC-ROC. Software run-times on mobile phones for both diagnostic models are less than 3 s after completion of a sweep.

Conclusions

The gestational age model is non-inferior to the clinical standard and the fetal malpresentation model has high AUC-ROCs across operators and devices. Our AI models are able to run on-device, without internet connectivity, and provide feedback scores to assist in upleveling the capabilities of lightly trained ultrasound operators in low resource settings.

Health care in pregnancy during the COVID-19 pandemic and pregnancy outcomes in six low- and-middle-income countries: Evidence from a prospective, observational registry of the Global Network for Women's and Children's Health

Objective

To assess, on a population basis, the medical care for pregnant women in specific geographic regions of six countries before and during the first year of the coronavirus disease 2019 (COVID‐19) pandemic in relationship to pregnancy outcomes.

Design

Prospective, population‐based study.

Setting

Communities in Kenya, Zambia, the Democratic Republic of the Congo, Pakistan, India and Guatemala.

Population

Pregnant women enrolled in the Global Network for Women's and Children's Health's Maternal and Newborn Health Registry.

Methods

Pregnancy/delivery care services and pregnancy outcomes in the pre‐COVID‐19 time‐period (March 2019–February 2020) were compared with the COVID‐19 time‐period (March 2020–February 2021).

Main outcome measures

Stillbirth, neonatal mortality, preterm birth, low birthweight and maternal mortality.

Results

Across all sites, a small but statistically significant increase in home births occurred between the pre‐COVID‐19 and COVID‐19 periods (18.9% versus 20.3%, adjusted relative risk [aRR] 1.12, 95% CI 1.05–1.19). A small but significant decrease in the mean number of antenatal care visits (from 4.1 to 4.0, p = <0.0001) was seen during the COVID‐19 period. Of outcomes evaluated, overall, a small but significant decrease in low‐birthweight infants in the COVID‐19 period occurred (15.7% versus 14.6%, aRR 0.94, 95% CI 0.89–0.99), but we did not observe any significant differences in other outcomes. There was no change observed in maternal mortality or antenatal haemorrhage overall or at any of the sites.

Conclusions

Small but significant increases in home births and decreases in the antenatal care services were observed during the initial COVID‐19 period; however, there was not an increase in the stillbirth, neonatal mortality, maternal mortality, low birthweight, or preterm birth rates during the COVID‐19 period compared with the previous year. Further research should help to elucidate the relationship between access to and use of pregnancy‐related medical services and birth outcomes over an extended period.

Factors associated with home delivery in rural Sindh, Pakistan: results from the global network birth registry

BACKGROUND

According to global estimates for 2017, nearly 295,000 maternal deaths occurred worldwide. Thus, approximately 810 women die every day due to pregnancy-related complications. This burden of maternal deaths in LMICs is primarily due to poor healthcare service utilization, as indicated by relatively low rates of institutional deliveries and skilled-birth attendance (SBA). We conducted this study with an aim to assess the factors associated with home delivery and its subsequent effect on the pregnancy outcome in rural Sindh, Pakistan.

METHODS

Data for this study were taken from The Global Network's Maternal Newborn Health Registry (MNHR), which is a prospective, population-based observational cohort study. Registry data for 2018-2019 for District Thatta, Pakistan was retrieved for the analysis. Multivariable logistic regression models were used to determine the effect of each independent variable on the place of delivery by including all predictors and covariates. Results of the regression analyses are presented with crude odds ratios (OR) and adjusted odds ratios (aOR) with 95% confidence intervals (CIs).

RESULTS

A total of 4649 women were included in the study, of these, 1286 (27.7%) women had delivered at home. Of those who delivered at home, a larger proportion was illiterate (90%), had a BMI of less than 18.5 kg/m² (26.0%), had parity of 3 or more (48.1%), and had a history of pregnancy loss as compared to women who had institutional delivery. In addition, two-thirds of women (63.4%) who had delivered at home had less than 4 ANC visits, whereas 15.6% did not receive any ANC. On multivariable logistic regression we found that home delivery was significantly associated with being illiterate (aOR = 1.60; [95% CI: 1.34, 2.04]), having high parity (aOR = 1.91; [95% CI: 1.58, 2.32]), and no ANC visit (aOR = 14.8; [95% CI: 10.2, 21.5]).

CONCLUSIONS

More than a quarter of our study sample women delivered at home. These women were illiterate, multiparous, and did not receive antenatal care during pregnancy. It is essential to conduct extensive educational interventions for the women and their family members regarding the potential benefits of delivering in a safe and skilled environment. Moreover, the provision of comprehensive and quality antenatal care should be ensured as it improves the mothers' health-seeking behavior and helps them make informed decisions about their health and well-being.

Determinants of stillbirth among reviewed perinatal deaths in Ethiopia

BACKGROUND

The global burden of stillbirth has declined over time. However, the problem is still prominent in South Asian and Sub-Saharan African countries. Ethiopia is one of the top stillbirth-reporting countries worldwide. Despite several measures taken to reduce the burden of stillbirth; the pace of decline was not as good as the post-neonatal death. Thus, this study is aimed at identifying potential factors related to stillbirth in Ethiopia based on nationally reviewed perinatal deaths.

METHOD

The national perinatal death surveillance data were used for this study. A total of 3,814 reviewed perinatal death were included in the study. Two model families,namely generalized estimating equation, and alternating logistic regression models from marginal model family were employed to investigate the risk factors of stillbirth. The alternating logistic regression model was selected as the best fit for the final analysis.

RESULT

Among reviewed perinatal deaths nearly forty percent (37.4%) were stillbirths. The findings from the multivariate analysis demonstrated that the place of birth (in transit and at home), cause of death (infection, and congenital and chromosomal abnormalities), maternal health condition (women with complications of pregnancy, placenta, and cord), delay one (delay in deciding to seek care) and delay three (delay in receiving adequate care) were associated with an increased risk of having a stillbirth. On the other hand, maternal education (women with primary and above education level) and the type of health facility (women who were treated in secondary and tertiary health care) were associated with a decreased risk of having a stillbirth.

CONCLUSION

The study identified that both individual (place of delivery, cause of death, maternal health condition, maternal education, and delay one) and facility level (type of health facility and delay three) factors contributed to stillbirth outcome. Therefore, policies that are aimed at encouraging institutional delivery, improving health seeking behavior, and strengthening facility-level readiness should be devised to reduce the high burden of stillbirth in Ethiopia.

The Global Network Maternal Newborn Health Registry: a multi-country, community-based registry of pregnancy outcomes

BACKGROUND

The Global Network for Women's and Children's Health Research (Global Network) conducts clinical trials in resource-limited countries through partnerships among U.S. investigators, international investigators based in in low and middle-income countries (LMICs) and a central data coordinating center. The Global Network's objectives include evaluating low-cost, sustainable interventions to improve women's and children's health in LMICs. Accurate reporting of births, stillbirths, neonatal deaths, maternal mortality, and measures of obstetric and neonatal care is critical to determine strategies for improving pregnancy outcomes. In response to this need, the Global Network developed the Maternal Newborn Health Registry (MNHR), a prospective, population-based registry of pregnant women, fetuses and neonates receiving care in defined catchment areas at the Global Network sites. This publication describes the MNHR, including participating sites, data management and quality and changes over time.

METHODS

Pregnant women who reside in or receive healthcare in select communities are enrolled in the MNHR of the Global Network. For each woman and her offspring, sociodemographic, health care, and the major outcomes through 42-days post-delivery are recorded. Study visits occur at enrollment during pregnancy, at delivery and at 42 days postpartum.

RESULTS

From 2010 through 2018, the Global Network MNHR sites were located in Guatemala, Belagavi and Nagpur, India, Pakistan, Democratic Republic of Congo, Kenya, and Zambia. During this period at these sites, 579,140 pregnant women were consented and enrolled in the MNHR, nearly 99% of all eligible women. Delivery data were collected for 99% of enrolled women and 42-day follow-up data for 99% of those delivered. In this supplement, the trends over time and assessment of differences across geographic regions are analyzed in a series of 18 manuscripts utilizing the MNHR data.

CONCLUSIONS

Improving maternal, fetal and newborn health in countries with poor outcomes requires an understanding of the characteristics of the population, quality of health care and outcomes. Because the worst pregnancy outcomes typically occur in countries with limited health registration systems and vital records, alternative registration systems may prove to be highly valuable in providing data. The MNHR, an international, multicenter, population-based registry, assesses pregnancy outcomes over time in support of efforts to develop improved perinatal healthcare in resource-limited areas. Trial Registration The Maternal Newborn Health Registry is registered at Clinicaltrials.gov (ID# NCT01073475). Registered February 23, 2019. https://clinicaltrials.gov/ct2/show/NCT01073475.