Human Breast Milk: The Role of Its Microbiota and Metabolites in Infant Health.

This review explores the role of microorganisms and metabolites in human breast milk and their impact on neonatal health. Breast milk serves as both a primary source of nutrition for newborns and contributes to the development and maturation of the digestive, immunological, and neurological systems. It has the potential to reduce the risks of infections, allergies, and asthma. As our understanding of the properties of human milk advances, there is growing interest in incorporating its benefits into personalized infant nutrition strategies, particularly in situations in which breastfeeding is not an option. Future infant formula products are expected to emulate the composition and advantages of human milk, aligning with an evolving understanding of infant nutrition. The long-term health implications of human milk are still under investigation.

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.

'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.

Use of qualitative research in World Health Organisation guidelines: a document analysis.

BACKGROUND: Guidelines depend on effect estimates, usually derived from randomised controlled trials, to inform their decisions. Qualitative research evidence may improve decisions made but where in the process and the methods to do this have not been so clearly established. We sought to describe and appraise how qualitative research has been used to inform World Heath Organization guidance since 2020. METHODS: We conducted a document analysis of WHO guidelines from 2020 to 2022. We purposely sampled guidelines on the topics of maternal and newborn health (MANH) and infectious diseases, as most of the qualitative synthesis to date has been conducted on these topics, likely representing the 'best case' scenario. We searched the in-built repository feature of the WHO website and used standardised search terms to identify qualitative reporting. Using deductive frameworks, we described how qualitative evidence was used to inform guidelines and appraised the standards of this use. RESULTS: Of the 29 guidelines, over half used qualitative research to help guide decisions (18/29). A total of 8 of these used qualitative research to inform the guideline scope, all 18 to inform recommendations, and 1 to inform implementation considerations. All guidelines drew on qualitative evidence syntheses (QES), and five further supplemented this with primary qualitative research. Qualitative findings reported in guidelines were typically descriptive, identifying people's perception of the benefits and harms of interventions or logistical barriers and facilitators to programme success. No guideline provided transparent reporting of how qualitative research was interpreted and weighed used alongside other evidence when informing decisions, and only one guideline reported the inclusion of qualitative methods experts on the panel. Only a few guidelines contextualised their recommendations by indicating which populations and settings qualitative findings could be applied. CONCLUSIONS: Qualitative research frequently informed WHO guideline decisions particularly in the field of MANH. However, the process often lacked transparency. We identified unmet potential in informing implementation considerations and contextualisation of the recommendations. Use in these areas needs further methods development.

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.

Exploring the implementation of an SMS-based digital health tool on maternal and infant health in informal settlements.

BACKGROUND: The rapid urbanization of Kenya has led to an increase in the growth of informal settlements. There are challenges with access to maternal, newborn, and child health (MNCH) services and higher maternal mortality rates in settlements. The Kuboresha Afya Mitaani (KAM) study aimed to improve access to MNCH services. We evaluate one component of the KAM study, PROMPTS (Promoting Mothers through Pregnancy and Postpartum), an innovative digital health intervention aimed at improving MNCH outcomes. PROMPTS is a two-way AI-enabled SMS-based platform that sends messages to pregnant and postnatal mothers based on pregnancy stage, and connects mothers with a clinical help desk to respond and refer urgent cases in minutes. METHODS: PROMPTS was rolled out in informal settlements in Mathare and Kawangware in Nairobi County. The study adopted a pre-post intervention design, comparing baseline and endline population outcomes (1,416 participants, Baseline = 678, Endline = 738). To further explore PROMPTS's effect, outcomes were compared between endline participants enrolled and not enrolled in PROMPTS (738 participants). Outcomes related to antenatal (ANC) and postnatal (PNC) service uptake and knowledge were assessed using univariate and multivariate linear and logistic regression. RESULTS: Between baseline and enldine, mothers were 1.85 times more likely to report their babies and 1.88 times more likely to report themselves being checked by a provider post-delivery. There were improvements in moms and babies receiving care on time. 45% of the 738 endline participants were enrolled in the PROMPTS program, with 87% of these participants sending at least one message to the system. Enrolled mothers were 2.28 times more likely to report completing four or more ANC visits relative to unenrolled mothers. Similarly, enrolled mothers were 4.20 times more likely to report their babies and 1.52 times more likely to report themselves being checked by a provider post-delivery compared to unenrolled mothers. CONCLUSIONS: This research demonstrates that a digital health tool can be used to improve care-seeking and knowledge levels among pregnant and postnatal women in informal settlements. Additional research is needed to refine and target solutions amongst those that were less likely to enroll in PROMPTS and to further drive improved MNCH outcomes amongst this population.

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.

Trajectories tracking of maternal and neonatal health in eastern China from 2010 to 2021: A multicentre cross-sectional study.

Background: China's fertility policy has dramatically changed in the past decade with the successive promulgation of the partial two-child policy, universal two-child policy and three-child policy. The trajectories of maternal and neonatal health accompanied the changes in fertility policy are unknown. Methods: We obtained data of 280 203 deliveries with six common pregnancy complications and thirteen perinatal outcomes between 2010 and 2021 in eastern China. The average annual percent change (AAPC) was calculated to evaluated the temporal trajectories of obstetric characteristics and adverse outcomes during this period. Then, the autoregressive integrated moving average (ARIMA) models were constructed to project future trend of obstetric characteristics and outcomes until 2027. Results: The proportion of advanced maternal age (AMA), assisted reproduction technology (ART) treatment, gestational diabetes mellitus (GDM), anaemia, thrombocytopenia, thyroid dysfunction, oligohydramnios, placental abruption, small for gestational age (SGA) infants, and congenital malformation significantly increased from 2010 to 2021. However, the placenta previa, large for gestational age (LGA) infants and stillbirth significantly decreased during the same period. The AMA and ART treatment were identified as independent risk factors for the uptrends of pregnancy complications and adverse perinatal outcomes. The overall caesarean section rate remained above 40%. Importantly, among multiparas, a previous caesarean section was found to be associated with a significantly reduced risk of hypertensive disorders of pregnancy (HDP), premature rupture of membranes (PROM), placenta previa, placental abruption, perinatal asphyxia, LGA infants, stillbirths, and preterm births. In addition, the ARIMA time series models predicted increasing trends in the ART treatment, GDM, anaemia, thrombocytopenia, postpartum haemorrhage, congenital malformation, and caesarean section until 2027. Conversely, a decreasing trend was predicted for HDP, PROM, and placental abruption premature, LGA infants, SGA infants, perinatal asphyxia, and stillbirth. Conclusions: Maternal and neonatal adverse outcomes became more prevalent from 2010 to 2021 in China. Maternal age and ART treatment were independent risk factors for adverse obstetric outcomes. The findings offered comprehensive trajectories for monitoring pregnancy complications and perinatal outcomes in China, and provided robust intervention targets in obstetric safety. The development of early prediction models and the implementation of prevention efforts for adverse obstetric events are necessary to enhance obstetric safety.

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.

Mothers' school starting age and infant health.

We study the effects of women's school starting age on the infant health of their offspring. In Spain, children born in December start school a year earlier than those born the following January, despite being essentially the same age. We follow a regression discontinuity design to compare the health at birth of the children of women born in January versus the previous December, using administrative, population-level data. We find small and insignificant effects on average weight at birth, but, compared to the children of December-born mothers, the children of January-born mothers are more likely to have very low birthweight. We then show that January-born women have the same educational attainment and the same partnership dynamics as December-born women. However, they finish school later and are (several months) older when they have their first child. Our results suggest that maternal age is a plausible mechanism behind our estimated impacts of school starting age on infant health.

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.

Diagnostic accuracy of foot length measurement for identification of preterm newborn in rural Sindh, Pakistan.

INTRODUCTION: Assessing gestational age accurately is crucial for saving preterm newborns. In low and middle-income countries, such as Pakistan, where access to antenatal ultrasonography (A-USG) is limited, alternative methods are needed. This study evaluated the diagnostic accuracy of foot length (FL) measurement for identifying preterm newborns in rural Pakistan using A-USG as the reference standard. METHODS: A test validation study was conducted between January and June 2023 in rural Sindh, Pakistan, within the catchment area of the Global Network for Maternal Newborn Health Registry, Thatta. Singleton newborns whose mothers had an A-USG before 20 weeks of gestation were enrolled. A research assistant measured FL three times using a rigid transparent plastic ruler within 48 hours of birth and the average FL was reported. Sensitivity, specificity, positive and negative predictive values (PPV, NPV) and likelihood ratios were calculated. The optimal FL cut-off for the identification of preterm newborns was determined using the Youden Index. RESULTS: A total of 336 newborns were included in the final analysis, of whom 75 (22.3%) were born before 37 weeks of gestation. The median gestational age of the newborns was 38.2 weeks, and the median FL was 7.9 cm. The area under the curve was 97.6%. The optimal FL cut-off for identifying preterm newborns was considered as ≤7.6 cm with a sensitivity of 90.8%, specificity of 96.0%, PPV of 86.7% and NPV of 97.3%. A lower cut-off of ≤7.5 cm had a sensitivity of 95.4%, specificity of 84.0%, PPV of 63.1% and NPV of 98.5%. CONCLUSION: In conclusion, this study highlights the utility of FL measurement for identifying preterm newborns in rural settings where A-USG is unavailable before 20 weeks of gestation. Optimal cut-offs of ≤7.6 and ≤7.5 cm provide a simple, cost-effective and reliable tool for clinicians and frontline healthcare providers in rural areas, respectively. TRIAL REGISTRATION NUMBER: NCT05515211.

The association of maternal country/region of origin and nativity with infant mortality rate among Hispanic preterm infants.

OBJECTIVES: Among US-born preterm infants of Hispanic mothers, we analyzed the unadjusted and adjusted infant mortality rate (IMR) by country/region of origin and maternal nativity status. STUDY DESIGN: Using linked national US birth and death certificate data (2005-2014), we examined preterm infants of Hispanic mothers by subgroup and nativity. Clinical and sociodemographic covariates were included and the main outcome was death in the first year of life. RESULTS: In our cohort of 891,216 preterm Hispanic infants, we demonstrated different rates of infant mortality by country and region of origin, but no difference between infants of Hispanic mothers who were US vs. foreign-born. CONCLUSION: These findings highlight the need to disaggregate the heterogenous Hispanic birthing population into regional and national origin groups to better understand unique factors associated with adverse perinatal outcomes in order to develop more targeted interventions for these subgroups.

Clinical Findings and Evaluation of Newborns Who Were Anonymously Surrendered.

This cohort study examines clinical findings, medical treatment, and outcomes for infants in Indiana who were surrendered under Safe Haven laws.

Complement in breast milk modifies offspring gut microbiota to promote infant health.

Breastfeeding offers demonstrable benefits to newborns and infants by providing nourishment and immune protection and by shaping the gut commensal microbiota. Although it has been appreciated for decades that breast milk contains complement components, the physiological relevance of complement in breast milk remains undefined. Here, we demonstrate that weanling mice fostered by complement-deficient dams rapidly succumb when exposed to murine pathogen Citrobacter rodentium (CR), whereas pups fostered on complement-containing milk from wild-type dams can tolerate CR challenge. The complement components in breast milk were shown to directly lyse specific members of gram-positive gut commensal microbiota via a C1-dependent, antibody-independent mechanism, resulting in the deposition of the membrane attack complex and subsequent bacterial lysis. By selectively eliminating members of the commensal gut community, complement components from breast milk shape neonate and infant gut microbial composition to be protective against environmental pathogens such as CR.

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.

Nutritional Knowledge about Maternal and Newborn Health among Physiotherapists during the COVID-19 Pandemic in Minas Gerais, Brazil.

Adequate nutrition before and during pregnancy, as well as postpartum, is among the major contributors to maternal and newborn health. Physiotherapists' knowledge of this area is still scarce, although their clinical practice has been linked to newborns' neuropsychomotor development, which, in turn, is influenced by maternal health and nutritional status. Therefore, this study aimed to evaluate the nutritional knowledge of physiotherapists regarding maternal and newborn health. A total of 70 Brazilian physiotherapists (32.2 ± 6.0 years; 72.9% females) were evaluated between November 2019 and February 2020 for their sociodemographic characteristics, professional experience, and nutritional knowledge about maternal and newborn health through a validated questionnaire personally administered by the same trained researcher. Most of the physiotherapists had graduated but had no specialization in maternal and child physiotherapy (96.1% of the females and all the males). The nutritional knowledge about maternal and newborn health was significantly different between the female and male health professionals, as well as between the less and more experienced participants, i.e., female physiotherapists and the more experienced ones had more correct answers on the nutritional questionnaire than the male and less experienced physiotherapists, respectively (p < 0.05). Our results open an interesting window for the future education and training of Brazilian physiotherapists in nutrition.