National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis.

BACKGROUND: Preterm birth is the leading cause of neonatal mortality and is associated with long-term physical, neurodevelopmental, and socioeconomic effects. This study updated national preterm birth rates and trends, plus novel estimates by gestational age subgroups, to inform progress towards global health goals and targets, and aimed to update country, regional, and global estimates of preterm birth for 2020 in addition to trends between 2010 and 2020. METHODS: We systematically searched population-based, nationally representative data on preterm birth from Jan 1, 2010, to Dec 31, 2020 and study data (26 March-14 April, 2021) for countries and areas with no national-level data. The analysis included 679 data points (86% nationally representative administrative data [582 of 679 data points]) from 103 countries and areas (62% of countries and areas having nationally representative administrative data [64 of 103 data points]). A Bayesian hierarchical regression was used for estimating country-level preterm rates, which incoporated country-specific intercepts, low birthweight as a covariate, non-linear time trends, and bias adjustments based on a data quality categorisation, and other indicators such as method of gestational age estimation. FINDINGS: An estimated 13·4 million (95% credible interval [CrI] 12·3-15·2 million) newborn babies were born preterm (<37 weeks) in 2020 (9·9% of all births [95% CrI 9·1-11·2]) compared with 13·8 million (12·7-15·5 million) in 2010 (9·8% of all births [9·0-11·0]) worldwide. The global annual rate of reduction was estimated at -0·14% from 2010 to 2020. In total, 55·6% of total livebirths are in southern Asia (26·8% [36 099 000 of 134 767 000]) and sub-Saharan Africa (28·7% [38 819 300 of 134 767 000]), yet these two regions accounted for approximately 65% (8 692 000 of 13 376 200) of all preterm births globally in 2020. Of the 33 countries and areas in the highest data quality category, none were in southern Asia or sub-Saharan Africa compared with 94% (30 of 32 countries) in high-income countries and areas. Worldwide from 2010 to 2020, approximately 15% of all preterm births occurred at less than 32 weeks of gestation, requiring more neonatal care (<28 weeks: 4·2%, 95% CI 3·1-5·0, 567 800 [410 200-663 200 newborn babies]); 28-32 weeks: 10·4% [9·5-10·6], 1 392 500 [1 274 800-1 422 600 newborn babies]). INTERPRETATION: There has been no measurable change in preterm birth rates over the last decade at global level. Despite increasing facility birth rates and substantial focus on routine health data systems, there remain many missed opportunities to improve preterm birth data. Gaps in national routine data for preterm birth are most marked in regions of southern Asia and sub-Saharan Africa, which also have the highest estimated burden of preterm births. Countries need to prioritise programmatic investments to prevent preterm birth and to ensure evidence-based quality care when preterm birth occurs. Investments in improving data quality are crucial so that preterm birth data can be improved and used for action and accountability processes. FUNDING: The Children's Investment Fund Foundation and the UNDP, United Nations Population Fund-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction.

Measures to assess quality of postnatal care: A scoping review.

High quality postnatal care is key for the health and wellbeing of women after childbirth and their newborns. In 2022, the World Health Organization (WHO) published global recommendations on maternal and newborn care for a positive postnatal care experience in a new WHO PNC guideline. Evidence regarding appropriate measures to monitor implementation of postnatal care (PNC) according to the WHO PNC guideline is lacking. This scoping review aims to document the measures used to assess the quality of postnatal care and their validity. The review was conducted according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). Five electronic bibliographic databases were searched together with a grey literature search. Two reviewers independently screened and appraised identified articles. All data on PNC measures were extracted and mapped to the 2022 WHO PNC recommendations according to three categories: i) maternal care, ii) newborn care, iii) health system and health promotion interventions. We identified 62 studies providing measures aligning with the WHO PNC recommendations. For most PNC recommendations there were measures available and the highest number of recommendations were found for breastfeeding and the assessment of the newborn. No measures were found for recommendations related to sedentary behavior, criteria to be assessed before discharge, retention of staff in rural areas and use of digital communication. Measure validity assessment was described in 24 studies (39%), but methods were not standardized. Our review highlights a gap in existing PNC measures for several recommendations in the WHO PNC guideline. Assessment of the validity of PNC measures was limited. Consensus on how the quality of PNC should be measured is needed, involving a selection of priority measures and the development of new measures as appropriate.

Maternal health policy environment and the relationship with service utilization in low- and middle-income countries.

Background: The extent to which a favorable policy environment influences health care utilization and outcomes for pregnant and postpartum women is largely unknown. In this study, we aimed to describe the maternal health policy environment and examines its relationship with maternal health service utilization in low- and middle-income countries (LMICs). Methods: We used data from World Health Organization's 2018-2019 sexual, reproductive, maternal, newborn, child, and adolescent health (SRMNCAH) policy survey linked with key contextual variables from global databases, as well as UNICEF data on antenatal care (ANC), institutional delivery, and postnatal care (PNC) utilization in 113 LIMCs. We grouped maternal health policy indicators into four categories - national supportive structures and standards, service access, clinical guidelines, and reporting and review systems. For each category and overall, we calculated summative scores accounting for available policy indicators in each country. We explored variations of policy indicators by World Bank income group using χ2 tests and fitted logistic regression models for ≥85% coverage for each of four or more antenatal care visits (ANC4+), institutional delivery, PNC for the mothers, and for all ANC4+, institutional delivery, and PNC for mothers, adjusting for policy scores and contextual variables. Results: The average scores for the four policy categories were as follows: 3 for national supportive structures and standards (score range = 0-4), 5.5 for service access (score range = 0-7), 6. for clinical guidelines (score range = 0-10), and 5.7 for reporting and review systems (score range = 0-7), for an average total policy score of 21.1 (score range = 0-28) across LMICs. After adjusting for country context variables, for each unit increase in the maternal health policy score, the odds of ANC4+>85% increased by 37% (95% confidence interval (CI) = 1.13-1.64) and the odds of all ANC4+, institutional deliveries and PNC>85% by 31% (95% CI = 1.07-1.60). Conclusions: Despite the availability of supportive structures and free maternity service access policies, there is a dire need for stronger policy support for clinical guidelines and practice regulations, as well as national reporting and review systems for maternal health. A more favorable policy environment for maternal health can improve adoption of evidence-based interventions and increase utilization of maternal health services in LMICs.

Assessing the neonatal health policy landscape in low- and middle-income countries: Findings from the 2018 WHO SRMNCAH policy survey.

Background: We aimed to describe the availability of newborn health policies across the continuum of care in low- and middle-income countries (LMICs) and to assess the relationship between the availability of newborn health policies and their achievement of global Sustainable Development Goal and Every Newborn Action Plan (ENAP) neonatal mortality and stillbirth rate targets in 2019. Methods: We used data from World Health Organization's 2018-2019 sexual, reproductive, maternal, newborn, child and adolescent health (SRMNCAH) Policy Survey and extracted key newborn health service delivery and cross-cutting health systems policies that align with the WHO health system building blocks. We constructed composite measures to represent packages of newborn health policies for five components along the continuum of care: antenatal care (ANC), childbirth, postnatal care (PNC), essential newborn care (ENC), and management of small and sick newborns (SSNB). We used descriptive analyses to present the differences in the availability of newborn health service delivery policies by World Bank income group in 113 LMICs. We employed logistic regression analysis to assess the relationship between the availability of each composite newborn health policy package and achievement of global neonatal mortality and stillbirth rate targets by 2019. Results: In 2018, most LMICs had existing policies regarding newborn health across the continuum of care. However, policy specifications varied widely. While the availability of the ANC, childbirth, PNC, and ENC policy packages was not associated with having achieved global NMR targets by 2019, LMICs with existing policy packages on the management of SSNB were 4.4 times more likely to have reached the global NMR target (adjusted odds ratio (aOR) = 4.40; 95% confidence interval (CI) = 1.09-17.79) after controlling for income group and supporting health systems policies. Conclusions: Given the current trajectory of neonatal mortality in LMICs, there is a dire need for supportive health systems and policy environments for newborn health across the continuum of care. Adoption and implementation of evidence-informed newborn health policies will be a crucial step in putting LMICs on track to meet global newborn and stillbirth targets by 2030.

Development of indicators for integrated antenatal care service provision: a feasibility study in Burkina Faso, Kenya, Malawi, Senegal and Sierra Leone.

OBJECTIVES: While service integration has gained prominence as an objective of many global initiatives, there is no widely recognised single definition of integration nor a clear understanding of how programmes are integrated into health systems to achieve improved health outcomes. This study aims to review measurement approaches for integrated antenatal care (ANC) services, propose and operationalise indicators for measuring ANC service integration and inform an integrated ANC indicator recommendation for use in low-income and middle-income countries (LMICs). DESIGN: Feasibility study. SETTING: Burkina Faso, Kenya, Malawi, Senegal and Sierra Leone. METHODS: Our six-step approach included: (1) conceptualise ANC service integration models; (2) conduct a targeted literature review on measurement of ANC service integration; (3) develop criteria for ANC service integration indicators; (4) propose indicators for ANC service integration; (5) use extant data to operationalise the indicators; and (6) synthesise information to make an integrated ANC indicator recommendation for use in LMICs. RESULTS: Given the multidimensionality of integration, we outlined three models for conceptualising ANC service integration: integrated health systems, continuity of care and coordinated care. Looking across ANC service integration estimates, there were large differences between estimates for ANC service integration depending on the model used, and in some countries, the ANC integration indicator definition within a model. No one integrated ANC indicator was consistently the highest estimate for ANC service integration. However, continuity of care was consistently the lowest estimate for ANC service integration. CONCLUSIONS: Integrated ANC services are foundational to ensuring universal health coverage. However, our findings demonstrate the complexities in monitoring indicators of ANC service quality using extant data in LMICs. Given the challenges, it is recommended that countries focus on monitoring measures of service quality. In addition, efforts should be made to improve data collection tools and routine health information systems to better capture measures of service integration.

Changes in the health systems and policy environment for maternal and newborn health, 2008-2018: An analysis of data from 78 low-income and middle-income countries.

BACKGROUND: Political, social, economic, and health system determinants play an important role in creating an enabling environment for maternal and newborn health. This study assesses changes in health systems and policy indicators for maternal and newborn health across 78 low- and middle-income countries (LMICs) during 2008-2018, and examines contextual factors associated with policy adoption and systems changes. METHODS: We compiled historical data from WHO, ILO, and UNICEF surveys and databases to track changes in ten maternal and newborn health systems and policy indicators prioritized for tracking by global partnerships. Logistic regression was used to examine the odds of systems and policy change based on indicators of economic growth, gender equality, and country governance with available data from 2008 to 2018. RESULTS: From 2008 to 2018, many LMICs (44/76; 57·9%) substantially strengthened systems and policies for maternal and newborn health. The most frequently adopted policies were national guidelines for kangaroo mother care, national guidelines for use of antenatal corticosteroids, national policies for maternal death notification and review, and the introduction of priority medicines in Essential Medicines Lists. The odds of policy adoption and systems investments were significantly greater in countries that experienced economic growth, had strong female labor participation, and had strong country governance (all p < 0·05). CONCLUSIONS: The widespread adoption of priority policies over the past decade is a notable step in creating an environment supportive for maternal and newborn health, but continued leadership and resources are needed to ensure robust implementation that translates into improved health outcomes.

Scaling up a monitoring and evaluation framework for sexual, reproductive, maternal, newborn, child, and adolescent health services and outcomes in humanitarian settings: A global initiative.

Background: Reliable and rigorously collected sexual, reproductive, maternal, newborn, child, and adolescent (SRMNCAH) data from humanitarian settings are often sparse and variable in quality across different settings due to the lack of a standardised set of indicators across the different agencies working in humanitarian settings. This paper aims to summarise a WHO-led global initiative to develop and scale up an SRMNCAH monitoring and evaluation framework for humanitarian settings. Methods: This research revolved around three phases. The first and the last phase involved global consultations with lead international agencies active in SRMNCAH in humanitarian settings. The second phase tested the feasibility of the proposed indicators in Afghanistan, Bangladesh, the Democratic Republic of the Congo, and Jordan, using different qualitative research methods (interviews with 92 key informants, 26 focus group discussions with 142 key stakeholders, facility assessments and observations at 25 health facilities or sites). Results: Among the 73 proposed indicators, 47 were selected as core indicators and 26 as additional indicators. Generally, there were no major issues in collecting the proposed indicators, except for those indicators that relied on death reviews or population-level data. Service availability and morbidity indicators were encouraged. Abortion and SGBV indicators were challenging to collect due to political and sociocultural reasons. The HIV and PMTCT indicators were considered as core indicators, despite potential sensitivity in some settings. Existing data collection and reporting systems across the four assessed humanitarian settings were generally fragmented and inconsistent, mainly attributed to the lack of coordination among different agencies. Interpretation: Implementing agencies need to collaborate effectively to scale up this agreed-upon set of SRMNCAH framework to enhance accountability and transparency in humanitarian settings.

Advancing maternal and perinatal health in low- and middle-income countries: A multi-country review of policies and programmes.

The Sustainable Development Goals prioritize maternal mortality reduction, with a global average target of < 70 per 100,000 live births by 2030. Current pace of reduction is far short of what is needed to achieve the global target. It is estimated that globally there are 300,000 maternal deaths, 2.4 million newborn deaths and 2 million stillbirths annually. Majority of these deaths occur in low-and-middle-income countries. Global initiatives like, Ending Preventable Maternal Mortality (EPMM) and Every Newborn Action Plan (ENAP), have outlined the broad strategies for maternal and newborn health programmes. A set of coverage targets and ten milestones were launched to support low-and-middle-income countries in accelerating progress in improving maternal, perinatal and newborn health and wellbeing. WHO, UNICEF and UNFPA, undertook a scoping review to understand how country strategies evolved in different contexts over the past two decades to improve maternal survival and wellbeing, and how countries in similar settings could accelerate progress considering the changing epidemiology and demography. Case studies were conducted to inform countries in similar settings and various global initiatives. Six countries were selected based on standard criteria-Cambodia, Democratic Republic of the Congo, Georgia, Guatemala, Pakistan and Sierra Leone representing different stages of the obstetric transition. A conceptual framework, encapsulating the interrelated factors impacting maternal health outcomes, was used to organize data collection and analysis. While all six countries made remarkable progress in improving maternal and perinatal health, the pace of progress and the factors influencing the successes and challenges varied across the countries. The context, opportunities and challenges varied from country to country. Two strategic directions were identified for next steps including the need to implement and evaluate innovative service delivery models using an updated obstetric transition as an organizing framework and expanding our vision to address equity and well-being.

Implementation of maternal and perinatal death surveillance and response (MPDSR) in humanitarian settings: insights and experiences of humanitarian health practitioners and global technical expert meeting attendees.

BACKGROUND: Maternal and perinatal death surveillance and response (MPDSR) is a system of identifying, analysing and learning lessons from such deaths in order to respond and prevent future deaths, and has been recommended by WHO and implemented in many low-and-middle income settings in recent years. However, there is limited documentation of experience with MPDSR in humanitarian settings. A meeting on MPDSR in humanitarian settings was convened by WHO, UNICEF, CDC and Save the Children, UNFPA and UNHCR on 17th-18th October 2019, informed by semi-structured interviews with a range of professionals, including expert attendees. CONSULTATION FINDINGS: Interviewees revealed significant obstacles to full implementation of the MPDSR process in humanitarian settings. Many obstacles were familiar to low resource settings in general but were amplified in the context of a humanitarian crisis, such as overburdened services, disincentives to reporting, accountability gaps, a blame approach, and politicisation of mortality. Factors more unique to humanitarian contexts included concerns about health worker security and moral distress. There are varying levels of institutionalisation and implementation capacity for MPDSR within humanitarian organisations. It is suggested that if poorly implemented, particularly with a punitive or blame approach, MPDSR may be counterproductive. Nevertheless, successes in MPDSR were described whereby the process led to concrete actions to prevent deaths, and where death reviews have led to improved understanding of complex and rectifiable contextual factors leading to deaths in humanitarian settings. CONCLUSIONS: Despite the challenges, examples exist where the lessons learnt from MPDSR processes have led to improved access and quality of care in humanitarian contexts, including successful advocacy. An adapted approach is required to ensure feasibility, with varying implementation being possible in different phases of crises. There is a need for guidance on MPDSR in humanitarian contexts, and for greater documentation and learning from experiences.

A rapid systematic review and evidence synthesis of effective coverage measures and cascades for childbirth, newborn and child health in low- and middle-income countries.

BACKGROUND: Effective coverage measures aim to estimate the proportion of a population in need of a service that received a positive health outcome. In 2020, the Effective Coverage Think Tank Group recommended using a 'coverage cascade' for maternal, newborn, child and adolescent health and nutrition (MNCAHN), which organises components of effective coverage in a stepwise fashion, with each step accounting for different aspects of quality of care (QoC), applied at the population level. The cascade outlines six steps that increase the likelihood that the population in need experience the intended health benefit: 1) the population in need (target population) who contact a health service; 2) that has the inputs available to deliver the service; 3) who receive the health service; 4) according to quality standards; 5) and adhere to prescribed medication(s) or health workers instructions; and 6) experience the expected health outcome. We examined how effective coverage of life-saving interventions from childbirth to children aged nine has been defined and assessed which steps of the cascade are captured by existing measures. METHODS: We undertook a rapid systematic review. Seven scientific literature databases were searched covering the period from May 1, 2017 to July, 8 2021. Reference lists from reviews published in 2018 and 2019 were examined to identify studies published prior to May 2017. Eligible studies reported population-level contact coverage measures adjusted for at least one dimension of QoC. RESULTS: Based on these two search approaches this review includes literature published from 2010 to 2021. From 16 662 records reviewed, 33 studies were included, reporting 64 effective coverage measures. The most frequently examined measures were for childbirth and immediate newborn care (n = 24). No studies examined measures among children aged five to nine years. Definitions of effective coverage varied across studies. Key sources of variability included (i) whether a single effective coverage measure was reported for a package of interventions or separate measures were calculated for each intervention; (ii) the number and type of coverage cascade steps applied to adjust for QoC; and (iii) the individual items included in the effective coverage definition and the methods used to generate a composite quality measure. CONCLUSION: In the MNCAHN literature there is substantial heterogeneity in both definitions and construction of effective coverage, limiting the comparability of measures over time and place. Current measurement approaches are not closely aligned with the proposed cascade. For widespread adoption, there is a need for greater standardisation of indicator definitions and transparency in reporting, so governments can use these measures to improve investments in MNACHN and implement life-saving health policies and programs.

Exploring the feasibility of establishing a core set of sexual, reproductive, maternal, newborn, child and adolescent health indicators in humanitarian settings: a multimethods, multicountry qualitative study protocol.

INTRODUCTION: In 2019, over 70 million people were forcibly displaced worldwide. Women and girls comprise nearly half of this population and are at heightened risk of negative sexual and reproductive health outcomes. With the collapse of health systems, reduced resources and increased vulnerabilities from displacement, there is a need to strengthen current practices and ensure the delivery of comprehensive sexual, reproductive, maternal, newborn, child and adolescent health (SRMNCAH) services. Recognising the need for consistency in data collection, analysis and use, the WHO developed a list of core SRMNCAH monitoring and evaluation indicators for services and outcomes in humanitarian settings. This research will explore the feasibility of collecting this core set of SRMNCAH indicators in displacement contexts. METHODS AND ANALYSIS: We will undertake a multimethods qualitative study in seven humanitarian settings: Afghanistan, Albania, Bangladesh, Cameroon, the Democratic Republic of the Congo, Iraq and Jordan. We selected sites that reflect diversity in geographic region, sociocultural characteristics, primary location(s) of displaced persons and nature and phase of the crisis. Our study consists of four components: key informant interviews, facility assessments, observational sessions at select facilities and focus group discussions with front-line healthcare personnel. We will analyse our data using descriptive statistics and for content and themes. We will begin by analysing data from each setting separately and will then combine these data to explore concordant and discordant results, triangulate findings and develop global recommendations. ETHICS AND DISSEMINATION: The University of Ottawa's Research Ethics Board and the Research Project Review Panel (RP 2) of the World Health Organization-Department of Sexual and Reproductive Health as well as local IRBs of PIs' research institutions reviewed and approved this protocol. We intend to disseminate findings through workshops at the WHO country, regional and headquarter levels, as well as through local, national and international conferences, workshops, peer-reviewed publications, and reports.

Study protocol for WHO and UNICEF estimates of global, regional, and national preterm birth rates for 2010 to 2019.

BACKGROUND: Preterm birth is a leading cause of death among children under five years. Previous estimates indicated global preterm birth rate of 10.6% (14.8 million neonates) in 2014. We aim to update preterm birth estimates at global, regional, and national levels for the period 2010 to 2019. METHODS: Preterm birth is defined as a live birth occurring before 37 completed gestational weeks, or <259 days since a woman's last menstrual period. National administrative data sources for WHO Member States with facility birth rates of ≥80% in the most recent year for which data is available will be searched. Administrative data identified for these countries will be considered if ≥80% of UN estimated live births include gestational age information to define preterm birth. For countries without eligible administrative data, a systematic review of studies will be conducted. Research studies will be eligible if the reported outcome is derived from an observational or intervention study conducted at national or sub-national level in population- or facility-based settings. Risk of bias assessments will focus on gestational age measurement method and coverage, and inclusion of special subgroups in published estimates. Covariates for inclusion will be selected a priori based on a conceptual framework of plausible associations with preterm birth, data availability, and quality of covariate data across many countries and years. Global, regional and national preterm birth rates will be estimated using a Bayesian multilevel-mixed regression model. DISCUSSION: Accurate measurement of preterm birth is challenging in many countries given incomplete or unavailable data from national administrative sources, compounded by limited gestational age assessment during pregnancy to define preterm birth. Up-to-date modelled estimates will be an important resource to measure the global burden of preterm birth and to inform policies and programs especially in settings with a high burden of neonatal mortality. TRIAL REGISTRATION: PROSPERO registration: CRD42021237861.

Global, regional, and national estimates and trends in stillbirths from 2000 to 2019: a systematic assessment.

BACKGROUND: Stillbirths are a major public health issue and a sensitive marker of the quality of care around pregnancy and birth. The UN Global Strategy for Women's, Children's and Adolescents' Health (2016-30) and the Every Newborn Action Plan (led by UNICEF and WHO) call for an end to preventable stillbirths. A first step to prevent stillbirths is obtaining standardised measurement of stillbirth rates across countries. We estimated stillbirth rates and their trends for 195 countries from 2000 to 2019 and assessed progress over time. METHODS: For a systematic assessment, we created a dataset of 2833 country-year datapoints from 171 countries relevant to stillbirth rates, including data from registration and health information systems, household-based surveys, and population-based studies. After data quality assessment and exclusions, we used 1531 datapoints to estimate country-specific stillbirth rates for 195 countries from 2000 to 2019 using a Bayesian hierarchical temporal sparse regression model, according to a definition of stillbirth of at least 28 weeks' gestational age. Our model combined covariates with a temporal smoothing process such that estimates were informed by data for country-periods with high quality data, while being based on covariates for country-periods with little or no data on stillbirth rates. Bias and additional uncertainty associated with observations based on alternative stillbirth definitions and source types, and observations that were subject to non-sampling errors, were included in the model. We compared the estimated stillbirth rates and trends to previously reported mortality estimates in children younger than 5 years. FINDINGS: Globally in 2019, an estimated 2·0 million babies (90% uncertainty interval [UI] 1·9-2·2) were stillborn at 28 weeks or more of gestation, with a global stillbirth rate of 13·9 stillbirths (90% UI 13·5-15·4) per 1000 total births. Stillbirth rates in 2019 varied widely across regions, from 22·8 stillbirths (19·8-27·7) per 1000 total births in west and central Africa to 2·9 (2·7-3·0) in western Europe. After west and central Africa, eastern and southern Africa and south Asia had the second and third highest stillbirth rates in 2019. The global annual rate of reduction in stillbirth rate was estimated at 2·3% (90% UI 1·7-2·7) from 2000 to 2019, which was lower than the 2·9% (2·5-3·2) annual rate of reduction in neonatal mortality rate (for neonates aged <28 days) and the 4·3% (3·8-4·7) annual rate of reduction in mortality rate among children aged 1-59 months during the same period. Based on the lower bound of the 90% UIs, 114 countries had an estimated decrease in stillbirth rate since 2000, with four countries having a decrease of at least 50·0%, 28 having a decrease of 25·0-49·9%, 50 having a decrease of 10·0-24·9%, and 32 having a decrease of less than 10·0%. For the remaining 81 countries, we found no decrease in stillbirth rate since 2000. Of these countries, 34 were in sub-Saharan Africa, 16 were in east Asia and the Pacific, and 15 were in Latin America and the Caribbean. INTERPRETATION: Progress in reducing the rate of stillbirths has been slow compared with decreases in the mortality rate of children younger than 5 years. Accelerated improvements are most needed in the regions and countries with high stillbirth rates, particularly in sub-Saharan Africa. Future prevention of stillbirths needs increased efforts to raise public awareness, improve data collection, assess progress, and understand public health priorities locally, all of which require investment. FUNDING: Bill & Melinda Gates Foundation and the UK Foreign, Commonwealth and Development Office.

A call for standardised age-disaggregated health data.

The 2030 Sustainable Development Goals agenda calls for health data to be disaggregated by age. However, age groupings used to record and report health data vary greatly, hindering the harmonisation, comparability, and usefulness of these data, within and across countries. This variability has become especially evident during the COVID-19 pandemic, when there was an urgent need for rapid cross-country analyses of epidemiological patterns by age to direct public health action, but such analyses were limited by the lack of standard age categories. In this Personal View, we propose a recommended set of age groupings to address this issue. These groupings are informed by age-specific patterns of morbidity, mortality, and health risks, and by opportunities for prevention and disease intervention. We recommend age groupings of 5 years for all health data, except for those younger than 5 years, during which time there are rapid biological and physiological changes that justify a finer disaggregation. Although the focus of this Personal View is on the standardisation of the analysis and display of age groups, we also outline the challenges faced in collecting data on exact age, especially for health facilities and surveillance data. The proposed age disaggregation should facilitate targeted, age-specific policies and actions for health care and disease management.

Uterotonics for prevention of postpartum haemorrhage: EN-BIRTH multi-country validation study.

BACKGROUND: Postpartum haemorrhage (PPH) is a leading cause of preventable maternal mortality worldwide. The World Health Organization (WHO) recommends uterotonic administration for every woman after birth to prevent PPH. There are no standardised data collected in large-scale measurement platforms. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) is an observational study to assess the validity of measurement of maternal and newborn indicators, and this paper reports findings regarding measurement of coverage and quality for uterotonics. METHODS: The EN-BIRTH study took place in five hospitals in Bangladesh, Nepal and Tanzania, from July 2017 to July 2018. Clinical observers collected tablet-based, time-stamped data. We compared observation data for uterotonics to routine hospital register-records and women's report at exit-interview survey. We analysed the coverage and quality gap for timing and dose of administration. The register design was evaluated against gap analyses and qualitative interview data assessing the barriers and enablers to data recording and use. RESULTS: Observed uterotonic coverage was high in all five hospitals (> 99%, 95% CI 98.7-99.8%). Survey-report underestimated coverage (79.5 to 91.7%). "Don't know" replies varied (2.1 to 14.4%) and were higher after caesarean (3.7 to 59.3%). Overall, there was low accuracy in survey data for details of uterotonic administration (type and timing). Register-recorded coverage varied in four hospitals capturing uterotonics in a specific column (21.6, 64.5, 97.6, 99.4%). The average coverage measurement gap was 18.1% for register-recorded and 6.0% for survey-reported coverage. Uterotonics were given to 15.9% of women within the "right time" (1 min) and 69.8% within 3 min. Women's report of knowing the purpose of uterotonics after birth ranged from 0.4 to 64.9% between hospitals. Enabling register design and adequate staffing were reported to improve routine recording. CONCLUSIONS: Routine registers have potential to track uterotonic coverage - register data were highly accurate in two EN-BIRTH hospitals, compared to consistently underestimated coverage by survey-report. Although uterotonic coverage was high, there were gaps in observed quality for timing and dose. Standardisation of register design and implementation could improve data quality and data flow from registers into health management information reporting systems, and requires further assessment.