Accountability for maternal and newborn health: Why measuring and monitoring broader social, political, and health system determinants matters.

This article offers four key lessons learned from a set of seven studies undertaken as part of the collection entitled, "Improving Maternal Health Measurement to Support Efforts toward Ending Preventable Maternal Mortality". These papers were aimed at validating ten of the Ending Preventable Maternal Mortality initiative indicators that capture information on distal causes of maternal mortality. These ten indicators were selected through an inclusive consultative process, and the research designs adhere to global recommendations on conducting indicator validation studies. The findings of these papers are timely and relevant given growing recognition of the role of macro-level social, political, and economic factors in maternal and newborn survival. The four key lessons include: 1) Strengthen efforts to capture maternal and newborn health policies to enable global progress assessments while reducing multiple requests to countries for similar data; 2) Monitor indicator "bundles" to understand degree of policy implementation, inconsistencies between laws and practices, and responsiveness of policies to individual and community needs; 3) Promote regular monitoring of a holistic set of human resource metrics to understand how to effectively strengthen the maternal and newborn health workforce; and 4) Develop and disseminate clear guidance for countries on how to assess health system as well as broader social and political determinants of maternal and newborn health. These lessons are consistent with the Kirkland principles of focus, relevance, innovation, equity, global leadership, and country ownership. They stress the value of indicator sets to understand complex phenomenon related to maternal and newborn health, including small groupings of complementary indicators for measuring policy implementation and health workforce issues. They also stress the fundamental ethos that maternal and newborn health indicators should only be tracked if they can drive actions at global, regional, national, or sub-national levels that improve lives.

Born on the wrong side of the tracks: Exploring the causal effects of segregation on infant health.

Prior research has found that a high level of residential racial segregation, or the degree to which racial/ethnic groups are isolated from one another, is associated with worsened infant health outcomes, particularly among non-Hispanic (NH) Black infant populations. However, because exposure to segregation is non-random, it is unclear whether and to what extent segregation is causally linked to infant health. To overcome this empirical limitation, we leverage exogenous variation in the placement of railroad tracks in the 19th century to predict contemporary segregation, an approach first introduced by Ananat (2011). In alignment with prior literature, we find that residential segregation has statistically significant associations with negative birth outcomes among Black infant populations in the area. Using OLS methods underestimates the negative impacts of segregation on infant health. We fail to detect comparable effects on health outcomes among NH White infant populations. Further, we identify several key mechanisms by which residential segregation could influence health outcomes among Black infant populations, including lower access to prenatal care during the first trimester, higher levels of anti-Black prejudice, greater transportation barriers, and increased food insecurity. Given that poor birth outcomes have adverse effects on adults' health and well-being, the findings suggest that in-utero exposure to residential segregation could have important implications for Black-White inequality over the life course.

'That is because we are alone': A relational qualitative study of socio-spatial inequities in maternal and newborn health programme coverage in rural Uttar Pradesh, India.

This qualitative study was conducted in Uttar Pradesh state, India to explore how interrelated socio-economic position and spatial characteristics of four diverse villages may have influenced equity in coverage of community-based maternal and newborn health (MNH) services. We conducted social mapping and three focus group discussions in each village, among women of lower and higher socio-economic position who recently gave birth, and with community health workers (n = 134). Data were analysed in NVivo 11.0 using thematic framework analysis. The extent of socio-economic hierarchies and spatial disparateness within the village, combined with distance to larger centers, together shaped villages' level of socio-spatial remoteness. Disadvantaged socio-economic groups expressed being more often spatially isolated, with less access to infrastructure, resources or services, which was heightened if the village was physically distant from larger centers. In more socio-spatially remote villages, inequities in coverage of MNH services that disadvantaged lower socio-economic position groups were compounded as these groups more often experienced ASHA vacancies, as well as greater distance to and poorer perceived quality of health services nearest the village. The results inform a conceptual framework of 'socio-spatial remoteness' that can guide public health research and programmes to more comprehensively address health inequities within India and beyond.

Prioritization of maternal and newborn health policies and their implementation in the eastern conflict affected areas of the Democratic Republic of Congo: a political economy analysis.

BACKGROUND: Maternal and neonatal mortality remains a major concern in the Democratic Republic of Congo (DRC), and the country's protracted crisis context exacerbates the problem. This political economy analysis examines the maternal and newborn health (MNH) prioritization in the DRC, focussing specifically on the conflict-affected regions of North and South Kivu. The aim is to understand the factors that facilitate or hinder the prioritization of MNH policy development and implementation by the Congolese government and other key actors at national level and in the provinces of North and South Kivu. METHODS: Using a health policy triangle framework, data collection consisted of in-depth interviews with key actors at different levels of the health system, combined with a desk review. Qualitative data were analysed using inductive and then deductive approaches, exploring the content, process, actor dynamics, contextual factors and gender-related factors influencing MNH policy development and implementation. RESULTS: The study highlighted the challenges of prioritizing policies in the face of competing health and security emergencies, limited resources and governance issues. The universal health coverage policy seems to offer hope for improving access to MNH services. Results also revealed the importance of international partnerships and global financial mechanisms in the development of MNH strategies. They reveal huge gender disparities in the MNH sector at all levels, and the need to consider cultural factors that can positively or negatively impact the success of MNH policies in crisis zones. CONCLUSIONS: MNH is a high priority in DRC, yet implementation faces hurdles due to financial constraints, political influences, conflicts and gender disparities. Addressing these challenges requires tailored community-based strategies, political engagement, support for health personnel and empowerment of women in crisis areas for better MNH outcomes.

The infant health effects of doulas: Leveraging big data and machine learning to inform cost-effective targeting.

Doula services represent an underutilized maternal and child health intervention with the potential to improve outcomes through the provision of physical, emotional, and informational support. However, there is limited evidence of the infant health effects of doulas despite well-established connections between maternal and infant health. Moreover, because the availability of doulas is limited and often not covered by insurers, existing evidence leaves unclear if or how doula services should be allocated to achieve the greatest improvements in outcomes. We use unique data and machine learning to develop accurate predictive models of infant health and doula service participation. We then combine these predictive models within the double machine learning method to estimate the effects of doula services. We show that while doula services reduce risk on average, the benefits of doula services increase as the risk of negative infant health outcomes increases. We compare these benefits to the costs of doula services under alternative allocation schemes and show that leveraging the risk predictions dramatically increases the cost effectiveness of doula services. Our results show the potential of big data and novel analytic methods to provide cost-effective support to those at greatest risk of poor outcomes.

Health equity in Somalia? An evaluation of the progress made from 2006 to 2019 in reducing inequities in maternal and newborn health.

BACKGROUND: Every human being has the right to affordable, high-quality health services. However, mothers and children in wealthier households worldwide have better access to healthcare and lower mortality rates than those in lower-income ones. Despite Somalia's fragile health system and the under-5 mortality rate being among the highest worldwide, it has made progress in increasing reproductive, maternal, and child health care coverage. However, evidence suggests that not all groups have benefited equally. We analysed secondary 2006 and 2018-19 data to monitor disparities in reproductive, maternal, and child health care in Somalia. METHODS: The study's variables of interest are the percentage of contraceptive prevalence through modern methods, adolescent fertility rate, prenatal care, the rate of births attended by midwives, the rate of births in a health care facility, the rate of early initiation of breastfeeding, stunting and wasting prevalence and care-seeking for children under-five. As the outcome variable, we analysed the under-five mortality rate. Using reliable data from secondary sources, we calculated the difference and ratio of the best and worst-performing groups for 2006 and 2018-19 in Somalia and measured the changes between the two. RESULTS: Between 2006 and 2018-19, An increase in the difference between women with high and low incomes was noticed in terms of attended labours. Little change was noted regarding socioeconomic inequities in breastfeeding. The difference in the stunting prevalence between the highest and lowest income children decreased by 20.5 points, and the difference in the wasting prevalence of the highest and the lowest income children decreased by 9% points. Care-seeking increased by 31.1% points. Finally, although under-five mortality rates have decreased in the study period, a marked income slope remains. CONCLUSIONS: The study's findings indicate that Somalia achieved significant progress in reducing malnutrition inequalities in children, a positive development that may have also contributed to the decrease in under-five mortality rate inequities also reported in this study. However, an increase in inequalities related to access to contraception and healthcare for mothers is shown, as well as for care-seeking for sick children under the age of five. To ensure that all mothers and children have equal access to healthcare, it is crucial to enhance efforts in providing essential quality healthcare services and distributing them fairly and equitably across Somalia.

A History Of The Impacts Of Discriminatory Policies On Housing And Maternal And Infant Health In An Ohio Neighborhood.

Community-level disinvestment and de facto segregation rooted in decades of discriminatory race-based policies and racism have resulted in unacceptably large infant mortality rates in racial minority neighborhoods across the US. Most community development and housing work, implemented with the goal of addressing health and social inequities, is designed to tackle current challenges in the condition of neighborhoods without a race-conscious lens assessing structural racism and discrimination. Using one historically segregated neighborhood-Linden, in Columbus, Ohio-we detail how state and local policies have affected the neighborhood and shaped neighborhood-level demographics and resources during the past 100 years. We explore how structural racism- and discrimination-informed strategic community reinvestment could provide a solution and yield lasting change.

Child Neurodevelopment After Multidomain Interventions From Preconception Through Early Childhood: The WINGS Randomized Clinical Trial.

Importance: Multidomain interventions in pregnancy and early childhood have improved child neurodevelopment, but little is known about the effects of additional preconception interventions. Objective: To evaluate the effect of a multifaceted approach including health; nutrition; water, sanitation, and hygiene (WASH); and psychosocial support interventions delivered during the preconception period and/or during pregnancy and early childhood on child neurodevelopment. Design, Setting, and Participants: In this randomized trial involving low- and middle-income neighborhoods in Delhi, India, 13 500 participants were assigned to preconception interventions or routine care for the primary outcome of preterm births and childhood growth. Participants who became pregnant were randomized to pregnancy and early childhood interventions or routine care. Neurodevelopmental assessments, the trial's secondary outcome reported herein, were conducted in a subsample of children at age 24 months, including 509 with preconception, pregnancy, and early childhood interventions; 473 with preconception interventions alone; 380 with pregnancy and early childhood interventions alone; and 350 with routine care. This study was conducted from November 1, 2000, through February 25, 2022. Interventions: Health, nutrition, psychosocial care and support, and WASH interventions delivered during preconception, pregnancy, and early childhood periods. Main Outcomes and Measures: Cognitive, motor, language, and socioemotional performance at age 24 months, assessed using the Bayley Scales of Infant and Toddler Development 3 tool. Results: The mean age of participants at enrollment was 23.8 years (SD, 3.0 years). Compared with the controls at age 24 months, children in the preconception intervention groups had higher cognitive scores (mean difference [MD], 1.16; 98.3% CI, 0.18-2.13) but had similar language, motor, and socioemotional scores as controls. Those receiving pregnancy and early childhood interventions had higher cognitive (MD, 1.48; 98.3% CI, 0.49-2.46), language (MD, 2.29; 98.3% CI, 1.07-3.50), motor (MD, 1.53; 98.3% CI, 0.65-2.42), and socioemotional scores (MD, 4.15; 98.3% CI, 2.18-6.13) than did controls. The pregnancy and early childhood group also had lower incidence rate ratios (RRs) of moderate to severe delay in cognitive (incidence RR, 0.62; 98.3% CI, 0.40-0.96), language (incidence RR, 0.73; 98.3% CI, 0.57-0.93), and socioemotional (incidence RR, 0.49; 98.3% CI, 0.24-0.97) development than did those in the control group. Children in the preconception, pregnancy, and early childhood intervention group had higher cognitive (MD, 2.60; 98.3% CI, 1.08-4.12), language (MD, 3.46; 98.3% CI, 1.65-5.27), motor (MD, 2.31; 98.3% CI, 0.93-3.69), and socioemotional (MD, 5.55; 98.3% CI, 2.66-8.43) scores than did those in the control group. Conclusions and Relevance: Multidomain interventions during preconception, pregnancy and early childhood led to modest improvements in child neurodevelopment at 24 months. Such interventions for enhancing children's development warrant further evaluation. Trial Registration: Clinical Trials Registry-India CTRI/2017/06/008908.

Infant Health Care Disruptions by Race and Ethnicity, Income, and Insurance During the COVID-19 Pandemic.

OBJECTIVE: Research has found disruptions in pediatric care during the COVID-19 pandemic, likely exacerbating existing disparities, which has not been explored among infants. This study evaluated how infant health care was disrupted during the COVID-19 pandemic overall and by race and ethnicity, income, and insurance type. METHODS: This cross-sectional study used the Pregnancy Risk Assessment Monitoring System COVID-19 supplement with data from 29 jurisdictions to examine infant health care disruptions due to the pandemic: 1) well visits/checkups canceled or delayed, 2) well visits/checkups changed to virtual appointments, and 3) postponed immunizations. Unadjusted, weighted proportions of outcomes were calculated overall and by race and ethnicity, income, and insurance. We estimated multivariable odds ratios for the association between infant care disruptions and race and ethnicity, income, and insurance. RESULTS: Overall, among 12,053 parental respondents with infants born from April to December 2020, 7.25% reported cancelations or delays in infant well visits/checkups, 5.49% reported changes to virtual infant care appointments, and 5.33% reported postponing immunizations, with significant differences by race and ethnicity, income, and insurance type. In adjusted analyses, we found higher odds of canceling/delaying visits and postponing immunizations among non-Hispanic Black infants and infants whose parents were uninsured or had Medicaid-paid deliveries. The odds of switching to virtual appointments were significantly higher among Hispanic infants and infants whose parents had Medicaid-paid deliveries. CONCLUSIONS: Study findings suggest that the COVID-19 pandemic particularly affected infant health care for non-Hispanic Black infants and infants whose parents were uninsured or had Medicaid, with important implications for addressing infant health inequities and improving health outcomes in the United States.

[Associations between mothers' economic insecurity and mood and thoughts on life with children at infants' 3-month check-ups: A cross-sectional study using data from infant health check-ups].

Objectives　We aimed to clarify the relationship between economic insecurity and the psychological profiles of mothers raising infants by analyzing data from three-month health check-ups in relation to the birth population in order to generate basic data that can be used to consider support for families facing economic insecurity.Methods　The study area was a neighborhood in a major Japanese city. The survey focused on 1013 mothers who had received health check-ups for children aged 18 months between November 2017 and October 2019. The data included in the analysis were data from the children's three-month health check-ups and survey data from 908 mothers who responded to the questionnaire and consented to the use of their health check-up data. After excluding data from potential participants who were not mothers or had multiple births, data from 847 participants were analyzed (valid response rate: 93.3%).　The objective variables were mothers' mood and thoughts about life with their children at the time of the three-month check-up as the mothers' psychological profiles. The explanatory variable was the presence or absence of maternal economic insecurity, and logistic regression analysis was conducted, adjusted for the children's sex and birth order, presence or absence of maternal counselors, and the mothers' educational attainment.Results　A total of 60 (7.1%) mothers were economically insecure. Of the mothers' moods, 122 (14.4%) reported feeling anxious, followed by 36 (4.3%) who reported feeling lonely. Of their thoughts on life with their children, 776 (91.6%) mothers reported that they enjoyed it, and 567 (66.9%) reported that they were happy to be parents. On the other hand, 157 (18.5%) reported feeling frustrated, and 75 (8.9%) reported that the lack of time for themselves was painful. Economically insecure mothers had an odds ratio of 5.59 (95% confidence interval, 2.49-12.55) for feeling lonely, 4.77 (2.67-8.54) for feeling anxious, and 2.70 (1.50-4.86) for feeling frustrated, all significantly higher than in mothers not facing economic insecurity.Conclusion　Economic insecurity among mothers at the time of the three-month check-up was associated with the psychological states of loneliness, anxiety, and frustration about living with their children. It was suggested that to solve economically insecure mothers' problems, they need support, including connecting them with social welfare services, so that they will be able to raise their children in a more stable environment.

Regulations Governing Medicines for Maternal and Neonatal Health: A Landscape Assessment.

Limited evidence related to the safety or efficacy of medicines in pregnancy and during breastfeeding is available to inform patients and healthcare professionals. Understanding the current regulatory landscape in the clinical trial and postmarketing settings is critical to facilitate the development of applicable processes and tools for studying medicine use during pregnancy and breastfeeding and comply with health authority expectations. This review summarizes key findings from a landscape assessment of regulations, guidelines, and guidance on the use of medicines in pregnancy and breastfeeding issued by health authorities in various territories (including the Americas, Europe, Africa, and Asia Pacific) and outlines relevant initiatives undertaken by health authorities, academic institutions, industry consortia, and public-private organizations. While global pharmacovigilance legislation regarding medication use during pregnancy and breastfeeding exists and continues to evolve, the landscape assessment revealed that there is a lack of global legislative harmonization in both the clinical trial and postmarketing surveillance settings and regulatory gaps still exist in many countries/regions. Despite ongoing efforts from health authorities and public and private organizations, intensive efforts for legislation harmonization and stakeholder collaboration are required to improve the current environment of medication safety in pregnancy and breastfeeding.

Measuring supply-side service disruption: a systematic review of the methods for measuring disruption in the context of maternal and newborn health services in low and middle-income settings.

OBJECTIVES: During the COVID-19 pandemic, most essential services experienced some level of disruption. Disruption in LMICs was more severe than in HICs. Early reports suggested that services for maternal and newborn health were disproportionately affected, raising concerns about health equity. Most disruption indicators measure demand-side disruption, or they conflate demand-side and supply-side disruption. There is currently no published guidance on measuring supply-side disruption. The primary objective of this review was to identify methods and approaches used to measure supply-side service disruptions to maternal and newborn health services in the context of COVID-19. DESIGN: We carried out a systematic review and have created a typology of measurement methods and approaches using narrative synthesis. DATA SOURCES: We searched MEDLINE, EMBASE and Global Health in January 2023. We also searched the grey literature. ELIGIBILITY CRITERIA: We included empirical studies describing the measurement of supply-side service disruption of maternal and newborn health services in LMICs in the context of COVID-19. DATA EXTRACTION AND SYNTHESIS: We extracted the aim, method(s), setting, and study outcome(s) from included studies. We synthesised findings by type of measure (ie, provision or quality of services) and methodological approach (ie, qualitative or quantitative). RESULTS: We identified 28 studies describing 5 approaches to measuring supply-side disruption: (1) cross-sectional surveys of the nature and experience of supply-side disruption, (2) surveys to measure temporal changes in service provision or quality, (3) surveys to create composite disruption scores, (4) surveys of service users to measure receipt of services, and (5) clinical observation of the provision and quality of services. CONCLUSION: Our review identified methods and approaches for measuring supply-side service disruption of maternal and newborn health services. These indicators provide important information about the causes and extent of supply-side disruption and provide a useful starting point for developing specific guidance on the measurement of service disruption in LMICs.

Revisiting the effects of state earned income tax credits on infant health: a quasi-experimental study using contiguous border counties approach.

BACKGROUND: To examine the effects of refundable state earned income tax credits (EITC) on infant health. METHODS: We use the restricted-access U.S. birth certificate data with county codes from 1989 to 2018. Birth outcomes include birth weight, low birth weight, gestational weeks, preterm birth, and the fetal growth rate. The analytical sample includes single mothers with high school education or less. Two specifications of two-way fixed effects models are employed. The first specification accounts for shared time trends across all states/counties. The second specification estimates effects based on EITC changes within contiguous counties across state borders which accounts for contemporaneous events specific to each contiguous county pair. Models are estimated pooling and stratifying by parity subgroups. RESULTS: Under the first specification, refundable state EITC is associated with improved birth outcomes. Pooling all parity, a 10%-point increase in refundable EITC is associated with an 8-gram increase in birth weight (95% CI: 2.9,14.6). The effect increases by parity. In contrast, the estimates from the second model are much smaller and statistically non-significant, both pooling and stratifying by parity. CONCLUSIONS: Comparing contiguous counties across state borders, there is no evidence that refundable state EITC affects birth outcomes. However, the estimates still do not rule out moderate to large benefits for third or higher born infants.

Research funding for newborn health and stillbirths, 2011-20: a systematic analysis of levels and trends.

BACKGROUND: Worldwide, an estimated 4·4 million newborn deaths and stillbirths occurred in 2020, and 98% of these deaths occurred in low-income and middle-income countries (LMICs). We aimed to analyse new research grants for newborns and stillbirth awarded by major funders in 2019-20, and all research funding allocated to LMIC-based institutions in 2011-20. METHODS: For this systematic analysis, we searched Dimensions, the world's largest research funding database, for grants relevant to neonatal and stillbirth research. Included grants were categorised by in-depth content analysis, with descriptive quantitative analyses by funder and recipient countries, research pipeline, topic, and year. FINDINGS: Globally, in 2019-20, major funders awarded a mean annual total of US$577·1 million per year for newborn and stillbirth research (mean total of 550 grants per year). $166·3 million (28·8%) of $577·1 million was directed to small and vulnerable newborn research, but only $8·4 million (1·5%) was directed to stillbirth research. The majority of funding, $537·0 million (93·0%), was allocated to organisations based in high-income countries. Between 2011 and 2020, LMIC-based recipients were named on 1985 grants from all funders worth $486·7 million, of which $73·1 million (15·0%) was allocated to small and vulnerable newborn research and $12·0 million (2·5%) was allocated to stillbirth research. Most LMIC funding supported preclinical or observational studies ($236·8 million [48·7%] of $486·7 million), with implementation research receiving only $13·9 million (2·9%). INTERPRETATION: Although investment in research related to neonatal health and stillbirths has increased between 2011 and 2020, there are marked disparities in distribution geographically, between major causes of mortality, and among research pipeline types. Stillbirth research received minimal funding in both high-income countries and LMICs, despite a similar number of deaths compared with neonates. Direct investment in LMIC-led research, especially for implementation research, could accelerate the slow global progress on stillbirth prevention and newborn survival. FUNDING: None. TRANSLATIONS: For the French, German and Spanish translations of the abstract see Supplementary Materials section.

Comparison of Masimo Total Hemoglobin SpHb® continuous non-invasive hemoglobin monitoring device with laboratory complete blood count measurement using venous sample: Protocol for an observational substudy of the Pregnancy Risk and Infant Surveillance and Measurement Alliance Maternal and Newborn Health (PRISMA MNH) study.

Background: The Masimo Total Hemoglobin SpHb® is a continuous and non-invasive handheld device to measure hemoglobin levels. Previous research has found that SpHb is able to accurately detect hemoglobin levels in adult patients with a similar degree of bias and standard deviation to point-of-care invasive method measurements. Generally, limited clinical evidence, lack of validation of Masimo at higher than and lower than hemoglobin threshold values, and scientific consensus supporting the use of Masimo for accurate hemoglobin testing for the diagnosis of anemia during pregnancy calls for further research. Methods and analysis: The proposed prospective cohort will be nested within the ongoing Pregnancy Risk and Infant Surveillance and Measurement Alliance (PRISMA) Maternal and Newborn Health (MNH) study. Three study sites (located in Zambia, Kenya, and Pakistan) will participate and collect hemoglobin data at five time points (<20 weeks, 20 weeks, 28 weeks, 36 weeks' gestation, and six weeks postpartum). We will measure hemoglobin using a venous blood sample via hematology auto-analyzer complete blood count (gold standard) and the non-invasive device. The primary objective is to assess agreement between Masimo total hemoglobin and complete blood count and on a continuous scale using Intraclass Correlation Coefficient and Bland-Altman Analysis. The second objective is to assess agreement between the two measures on a binary scale using Positive Percentage Agreement and Negative Percentage Agreement, Cohen's Kappa, and McNemar Test. On an ordinal scale, agreement will be measured using Weighted Cohen's Kappa and Harrel's Concordance Index. Lastly, we will assess factors that might affect the accuracy of Masimo total hemoglobin using linear mixed models. Conclusions: The primary aim of this study is to assess the validity of the non-invasive Masimo device compared to the gold standard method of invasive hemoglobin measurements during pregnancy and postpartum periods for the diagnosis of anemia.

Seasonal patterns in newborns' health: Quantifying the roles of climate, communicable disease, economic and social factors.

Poor health at birth can have long-term consequences for children's development. This paper analyses an important factor associated with health at birth: the time of year that the baby is born, and hence seasonal risks they were exposed to in utero. There are multiple potential explanations for seasonality in newborns' health. Most previous research has examined these in isolation. We therefore do not know which explanations are most important - and hence which policy interventions would most effectively reduce the resulting early-life inequalities. In this paper, I use administrative data to estimate and compare the magnitudes of several seasonal risks, seeking to identify the most important drivers of seasonality in the Northern Territory of Australia, a large territory spanning tropical and arid climates and where newborn health varies dramatically with the seasons. I find that the most important explanations are heat exposure and disease prevalence. Seasonality in food prices and road accessibility have smaller effects on some outcomes. Seasonal fertility patterns, rainfall and humidity do not have statistically significant effects. I conclude that interventions that protect pregnant women from seasonal disease and heat exposure would likely improve newborn health in the Northern Territory, with potential long-term benefits for child development. It is likely that similar impacts would apply in other locations with tropical and arid climates, and that, without action, climate change will accentuate these risks.

Desigualdades en la salud en América Latina y el Caribe. Una línea de base para la 'Estrategia mundial para la salud de la mujer, el niño y el adolescente'

La Estrategia mundial para la salud de la mujer, el niño y el adolescente 2016-2030 tiene como objetivo “alcanzar el grado más alto posible de salud para todas las mujeres, los niños y los adolescentes”. En consecuencia, especifica indicadores estadísticos y establece objetivos claramente definidos que deben alcanzarse para el 2030. Dado el énfasis que la estrategia pone en la recopilación y la disponibilidad de los datos, es posible realizar un seguimiento del progreso universal hacia sus objetivos. En general, los indicadores relacionados con la salud miden los resultados y la cobertura de salud nacionales a partir de promedios. Sin embargo, dada la naturaleza de esa información, las desigualdades relacionadas con los resultados de salud y el acceso a los servicios de salud suelen quedar ocultas. Puesto que es importante distribuir los beneficios en cuanto a la salud y el bienestar de manera equitativa entre todas las personas, con independencia de su riqueza, nivel de instrucción y otros factores relacionados con la situación social, es esencial detectar y medir primero las desigualdades sociales existentes en el ámbito de la salud. Para ello, esta publicación ofrece una visión general de las desigualdades sociales según varios indicadores relacionados con la salud de las mujeres, niños, niñas y adolescentes de América Latina y el Caribe. El análisis indica que la reducción de las disparidades dentro de los países es una prioridad, ya que se detectan desigualdades sociales generalizadas en la salud.

Influence of participatory monitoring and evaluation on decision-making in maternal and newborn health programs in Mombasa County, Kenya.

The study assessed the utilization of participatory monitoring and evaluation approaches (PM&E) and their influence on decision-making in maternal and newborn health programs (MNH) in Mombasa County, Kenya. We conducted a cross-sectional study with a sample of 390 participants and used a structured questionnaire, modified Quality of Decision-Making Orientation Scheme, and an interview guide to collect data. We analyzed quantitative responses using descriptive statistics and binary logistic regression (at significance level of 0.05) and qualitative responses using content analysis. The study established that quality decision-making was more likely to occur in MNH programs in Mombasa County that used PM&E approaches at the initiation (OR 1.728, p < 0.05), design and planning (OR 2.977, p < 0.05), and implementation (OR 5.665, p < 0.05) phases of MNH programs than in those that did not use the PM&E approaches. This study shapes a persuasive case for improving the provision of maternal and newborn health services.

Perspectives of stakeholders regarding the value of maternal and newborn health interventions and practices supported by UNICEF and other partners in the West Nile region of Uganda: a qualitative study.

INTRODUCTION: Uganda has high maternal, neonatal, and under-five mortality rates. This study documents stakeholder perspectives on best practices in a maternal and newborn health (MNH) quality-improvement programme implemented in the West Nile region of Uganda to improve delivery and utilisation of MNH services. METHODS: This exploratory cross-sectional qualitative study, conducted at the end of 2021, captured the perspectives of stakeholders representing the different levels of the healthcare system. Data were collected in four districts through: interviews with key informants working at all levels of the health system; focus group discussions with parents and caretakers and with community health workers; and interviews with individual community members whose lives had been impacted by the MNH programme. The initial content analysis was followed by a deductive synthesis pitched according to the different levels of the health system and the health-systems building blocks. RESULTS: The findings are summarised according to the health-systems building blocks and an account is given of three of the interventions most valued by participants: (1) data use for evidence-based decision making (with regard to human resources, essential reproductive health commodities, and financing); (2) establishment of special newborn care units and high-dependency maternity units at district hospitals and training of the health workforce (also with reference to other infrastructural improvements such as the provision of water, sanitation and hygiene facilities at health facilities); and (3) community referral of pregnant women through a commercial motorcycle voucher referral system. CONCLUSION: The MNH programme in the West Nile region adopted a holistic and system-wide approach to addressing the key bottlenecks in the planning, delivery, and monitoring of quality MNH services. There was general stakeholder appreciation across the board that the interventions had the potential to improve quality of care and newborn and maternal health outcomes. However, as the funding was largely donor-driven, questions about government ownership and sustainability in the context of limited resources remain.