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.

Vaccination, immunity, and the changing impact of COVID-19 on infant health.

In utero exposure to COVID-19 infection may lead to large intergenerational health effects. The impact of infection exposure has likely evolved since the onset of the pandemic as new variants emerge, immunity from prior infection increases, vaccines become available, and vaccine hesitancy persists, such that when infection is experienced is as important as whether it is experienced. We examine the changing impact of COVID-19 infection on preterm birth and the moderating role of vaccination. We offer the first plausibly causal estimate of the impact of maternal COVID-19 infection by using population data with no selectivity, universal information on maternal COVID-19 infection, and linked sibling data. We then assess change in this impact from 2020 to 2023 and evaluate the protective role of COVID-19 vaccination on infant health. We find a substantial adverse effect of prenatal COVID-19 infection on the probability of preterm birth. The impact was large during the first 2 y of the pandemic but had fully disappeared by 2022. The harmful impact of COVID-19 infection disappeared almost a year earlier in zip codes with high vaccination rates, suggesting that vaccines might have prevented thousands of preterm births. The findings highlight the need to monitor the changing consequences of emerging infectious diseases over time and the importance of mitigation strategies to reduce the burden of infection on vulnerable populations.

Impact of mHealth interventions on maternal, newborn, and child health from conception to 24 months postpartum in low- and middle-income countries: a systematic review.

BACKGROUND: Mobile health (mHealth) technologies have been harnessed in low- and middle-income countries (LMICs) to address the intricate challenges confronting maternal, newborn, and child health (MNCH). This review aspires to scrutinize the effectiveness of mHealth interventions on MNCH outcomes during the pivotal first 1000 days of life, encompassing the period from conception through pregnancy, childbirth, and post-delivery, up to the age of 2 years. METHODS: A comprehensive search was systematically conducted in May 2022 across databases, including PubMed, Cochrane Library, Embase, Cumulative Index to Nursing & Allied Health (CINAHL), Web of Science, Scopus, PsycINFO, and Trip Pro, to unearth peer-reviewed articles published between 2000 and 2022. The inclusion criteria consisted of (i) mHealth interventions directed at MNCH; (ii) study designs, including randomized controlled trials (RCTs), RCT variations, quasi-experimental designs, controlled before-and-after studies, or interrupted time series studies); (iii) reports of outcomes pertinent to the first 1000 days concept; and (iv) inclusion of participants from LMICs. Each study was screened for quality in alignment with the Cochrane Handbook for Systematic Reviews of Interventions and the Joanne Briggs Institute Critical Appraisal tools. The included articles were then analyzed and categorized into 12 mHealth functions and outcome domain categories (antenatal, delivery, and postnatal care), followed by forest plot comparisons of effect measures. RESULTS: From the initial pool of 7119 articles, we included 131 in this review, comprising 56 RCTs, 38 cluster-RCTs, and 37 quasi-experimental studies. Notably, 62% of these articles exhibited a moderate or high risk of bias. Promisingly, mHealth strategies, such as dispatching text message reminders to women and equipping healthcare providers with digital planning and scheduling tools, exhibited the capacity to augment antenatal clinic attendance and enhance the punctuality of child immunization. However, findings regarding facility-based delivery, child immunization attendance, and infant feeding practices were inconclusive. CONCLUSIONS: This review suggests that mHealth interventions can improve antenatal care attendance and child immunization timeliness in LMICs. However, their impact on facility-based delivery and infant feeding practices varies. Nevertheless, the potential of mHealth to enhance MNCH services in resource-limited settings is promising. More context-specific implementation studies with rigorous evaluations are essential.

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.

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.

Roadway construction as a natural experiment to examine air pollution impacts on infant health.

Traffic-related air pollution (TRAP) poses a significant public health risk that is associated with adverse birth outcomes. Large roadway infrastructure projects present a natural experiment to examine how resulting congestion change is associated with adverse birth outcomes for nearby populations. This study is designed to examine the influence of living close to a roadway before, during, and after a construction project using a difference-in-differences design. We integrated data on all large roadway construction projects (defined as widening of existing roads, building new roads, improving bridges, installing intelligent transportation systems, improving intersections, and installing or upgrading traffic signals) in Texas from 2007 to 2016 with Vital Statistic data for all births with residential addresses within 1 km of construction projects. Our outcomes included term low birth weight, term birth weight, preterm birth, and very preterm birth. Using a difference-in-differences design, we included births within 3 years of construction start and 2 years of construction end. In our main model, the exposed group is limited to pregnant individuals residing within 300 m of a construction project, and the control group includes those living within 300-1000 m from a project. We used regression models to estimate the influence of construction on infant health. We included 1,360 large roadway construction projects linked to 408,979 births. During construction, we found that the odds of term low birth weight increased by 19% (95% CI: 1.05, 1.36). However, we saw little evidence of an association for other birth outcomes. Contrary to our hypothesis of decreased TRAP after construction ends, we did not observe consistent improvements post-construction for pregnant individuals living within 300 m. Continued consideration of the influence of traffic congestion programs on birth outcomes is necessary to inform future policy decisions.

Maternal antenatal mental health and its associations with perinatal outcomes and the use of healthcare services in children from the NINFEA birth cohort study.

To investigate the associations between maternal mental health disorders before and during pregnancy and perinatal outcomes and child healthcare utilization between 6 and 18 months of age. Among the 6814 mother-child pairs from the Italian Internet-based NINFEA birth cohort, maternal depression, anxiety, and sleep disorders diagnosed by a physician before and during pregnancy were assessed through self-reported questionnaires completed during pregnancy and 6 months after delivery. Perinatal outcomes (preterm birth, birth weight, small for gestational age, congenital anomalies, and neonatal intensive care unit (NICU)) and children's healthcare utilization (emergency department (ED) visits, hospitalizations, and outpatient visits) were reported by mothers at 6 and 18 months postpartum. We used regression models adjusted for maternal age, education, parity, country of birth, region of delivery, and household income. Maternal mental health disorders were not associated with perinatal outcomes, except for depression, which increased the risk of offspring admission to NICU, and anxiety disorders during pregnancy, which were associated with preterm birth and lower birth weight. Children born to mothers with depression/anxiety disorders before pregnancy, compared to children of mothers without these disorders, had an increased odds of a visit to ED for any reason (odds ratio (ORadj) = 1.26, 95% confidence interval (CI): 1.02-1.54), of an ED visit resulting in hospitalization (ORadj = 1.75, 95%CI: 1.27-2.42), and of planned hospital admissions (ORadj = 1.55, 95%CI: 1.01-2.40). These associations with healthcare utilization were similar for mental disorders also during pregnancy. The association pattern of maternal sleep disorders with perinatal outcomes and child healthcare utilization resembled that of maternal depression and/or anxiety disorders with these outcomes.   Conclusion: Antenatal maternal mental health is a potential risk factor for child-health outcomes and healthcare use. Early maternal mental health interventions may help to promote child health and reduce healthcare costs. What is Known: • Poor maternal mental health affects pregnancy outcomes and child health, and children of mothers with mental health conditions tend to have increased healtcare utilization. • Parents with poor mental health often face challenges in caring for their children and have less parenting self-efficacy, which could potentially lead to frequent medical consultations for minor health issues. What is New: • Maternal pre-pregnancy mental disorders were not associated with preterm birth, low birth weight, SGA, and congenital anomalies, except for depression, which increased the risk of offspring admission to NICU. Anxiety disorders during pregnancy were associated with lower birth weight and an increased odds of preterm birth. • Maternal depression and/or anxiety and sleep disorders, both before and during pregnancy, were associated with an increase in children's healthcare utilization between 6 and 18 months of life.

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.

How to improve newborn outcomes in 60 s-delay clamping the umbilical cord.

Deferred umbilical cord clamping (DCC) has been employed with wide variation in the United States over the last few decades. This practice has the potential to improve infant health and outcomes at the population health level. Education campaigns and policy interventions can promote DCC use in a safe manner.

Adverse Infant Health Outcomes Increased After the 2016 U.S. Presidential Election Among Non-White U.S.-born and Foreign-born Mothers.

Macro-level events such as elections can improve or harm population health across existing axes of stratification through policy changes and signals of inclusion or threat. This study investigates whether rates of, and disparities in, adverse birth outcomes between racialized and nativity groups changed after Donald Trump's November 2016 election, a period characterized by increases in xenophobic and racist messages, policies, and actions in the United States. Using data from 15,568,710 U.S. births between November 2012 and November 2018, we find that adverse birth outcomes increased after Trump's election among U.S.- and foreign-born mothers racialized as Black, Hispanic, and Asian and Pacific Islander (API), compared with the period encompassing the two Obama presidencies. Results for Whites suggest no change or a slight decrease in adverse outcomes following Trump's election, yet this finding was not robust to checks for seasonality. Black-White, Hispanic-White, and API-White disparities in adverse birth outcomes widened among both U.S.- and foreign-born mothers after Trump's election. Our findings suggest that Trump's election was a racist and xenophobic macro-level political event that undermined the health of infants born to non-White mothers in the United States.

Effects of household composition on infant feeding and mother-infant health in northern Kenya.

BACKGROUND: Households with alloparents, individuals other than the mother who care for an infant, can shift members' roles and affect mother-infant health. AIMS: To investigate how household composition relates to infant feeding and infectious disease risk in mother-infant dyads, the team utilized data from breastfeeding dyads (n 208) surveyed during a prolonged drought and food scarcity in northern Kenya. METHODS: Households were classified by the presence/absence of potential alloparents, distinguishing non-siblings and siblings of the infant. Regression models for breastfeeding frequency, complementary feeding status, and recent infections (n 83) evaluated these outcomes' associations with household type while accounting for food insecurity, adjusted for infant age, infant sex, and maternal age. RESULTS: Household type was unassociated with breastfeeding frequency, but the presence of non-sibling alloparents interacted with food insecurity, predicting increasing breastfeeding frequency as food insecurity intensified among dyads living with non-sibling alloparents. Households with non-sibling alloparents were also inversely associated with complementary feeding but had no association with infection. Households with siblings were inversely associated with (protective against) infant and maternal infection. CONCLUSION: Further research is needed to understand the interactive influence of household social and food ecologies on mother-infant diet and health under diverse cultural rules and norms for alloparenting.

M-SAKHI - Mobile health solutions to help community providers promote maternal and infant nutrition and health: a description of development of the Program Impact Pathway using Theory of Change.

OBJECTIVE: Behaviour Change Communication (BCC) intervention programmes often lack documentation of successful processes. This manuscript aims to describe the development of Program Impact Pathway (PIP) using Theory of Change (ToC) approach for a mHealth BCC intervention titled 'Mobile Solutions Aiding Knowledge for Health Improvement (M-SAKHI)' aimed at reducing stunting in infants at 18 months of age. DESIGN: The PIP was developed using ToC to design the intervention and plan its implementation. Literature review and data from previous pilots helped to identify health service gaps that needed to be addressed by the PIP of this intervention. SETTING: M-SAKHI was implemented in 244 villages under governance of forty primary health centres of Nagpur and Bhandara districts of eastern Maharashtra in central India. PARTICIPANTS: The study investigators and the public health stakeholders participated in developing the PIP. M-SAKHI evaluation study recruited 2501 pregnant women who were followed up through delivery until their infants were 18 months old. RESULTS: The PIP was developed, and it identified the following pathways for the final impact: (1) improving maternal and infant nutrition, (2) early recognition of maternal and infant danger signs, (3) improving access and utilisation to healthcare services, (4) improving hygiene, sanitation and immunisation practices, and (5) improving implementation and service delivery of community health workers through their training, monitoring and supervision in real time. CONCLUSION: This paper will illustrate the significance of development of PIP for M-SAKHI. It can aid other community-based programmes to design their PIP for nutrition-based BCC interventions.

Investigating maternal and neonatal health outcomes associated with continuing or ceasing dexamphetamine treatment for women with attention-deficit hyperactivity disorder during pregnancy: a retrospective cohort study.

PURPOSE: Attention-deficit hyperactivity disorder (ADHD) is becoming more commonly diagnosed in women, consequently, more women of reproductive age are taking ADHD medication, such as dexamphetamine. However, the safety associated with continuing or ceasing dexamphetamine during pregnancy is unclear. This study investigates outcomes associated with the continuation of dexamphetamine during pregnancy compared to those who ceased or were unexposed. METHODS: A population-based retrospective cohort of women from Western Australia who had been dispensed dexamphetamine during pregnancy and gave birth between 2003 and 2018. Women had either continued to take dexamphetamine throughout pregnancy (continuers, n = 547) or ceased dexamphetamine before the end of the second trimester (ceasers, n = 297). Additionally, a matched (1:1) comparison group of women who were dispensed an ADHD medication prior to pregnancy but not during pregnancy (unexposed) was included in the study (n = 844). Multivariable generalised linear models were used to compare maternal and neonatal health outcomes. RESULTS: Compared to continuers, ceasers had greater odds of threatened abortion (OR: 2.28; 95%CI: 1.00, 5.15; p = 0.049). The unexposed had some benefits compared to the continuers, which included lower risk of preeclampsia (OR: 0.58; 95%CI: 0.35, 0.97; p = 0.037), hypertension (OR: 0.32; 95%CI: 0.11, 0.93; p = 0.036), postpartum haemorrhage (OR: 0.57; 95%CI: 0.41, 0.80; p = 0.001), neonatal special care unit admittance (OR: 0.16; 95%CI: 0.12, 0.20; p < 0.001) and fetal distress (OR: 0.73; 95%CI: 0.54, 0.99; p = 0.042). CONCLUSION: Continuing dexamphetamine throughout pregnancy was not associated with an increase in adverse neonatal and maternal health outcomes compared to ceasing. Ceasing dexamphetamine during pregnancy was associated with increased odds of threatened abortion compared with continuing dexamphetamine. However, this is something that requires further investigation due to the small sample size, difficulties examining timing, and the inability to examine spontaneous abortions. The unexposed showed some benefits compared to the continuers, suggesting that where possible the cessation of dexamphetamine prior to pregnancy may be advisable.

A Call to Action: Supporting Black Maternal and Infant Health Using the Collective Impact Model.

This commentary advocates for a comprehensive approach to addressing the Black maternal and infant health crisis, utilizing the collective impact model with health equity at its center. Black women in the United States face alarmingly high rates of maternal morbidity and mortality compared to white women. Black women are twice as likely to have premature and low birthweight babies than white women, exposing both the expectant woman and child to various health risks. This crisis stems from systemic racism, implicit bias in healthcare, and a lack of targeted health communications for pregnant Black women. The urgency of this situation requires a bold and unified response through collaboration and coordination among healthcare providers, local and grassroots community-based organizations (CBOs), and digital health communicators. A comprehensive Black maternal and infant health campaign embedded within the collective impact model and led by a dedicated backbone organization would facilitate the coordination and involvement of diverse stakeholders. Central to these efforts should be the acknowledgment that systemic racism perpetuates health inequities. Consequently, any initiatives to improve health outcomes should prioritize health equity by valuing and incorporating Black women's perspectives. This involves crafting a responsive strategy and placing Black women at the forefront of content creation, program strategy, and evaluation. Through a collaborative effort involving healthcare partners, CBOs, and health communicators, we can have an impact far more significant than any single initiative. Immediate action is needed to dismantle systemic barriers and ensure every Black woman and infant receives the care and support they deserve. Black maternal health disparities in the United States have been widely acknowledged and studied. It is well-established that Black women face significantly higher rates of maternal morbidity and mortality compared to their white counterparts, indicative of a severe healthcare crisis. This opinion piece contributes to the discourse by proposing a comprehensive solution grounded in the collective impact model, which emphasizes collaboration and coordination across various stakeholders. This approach represents a shift from past siloed efforts, aiming to tackle the urgent issue of Black maternal and infant health with a multidisciplinary approach centered on health equity.

Assessing post-abortion care using the WHO quality of care framework for maternal and newborn health: a cross-sectional study in two African hospitals in humanitarian settings.

BACKGROUND: Abortion-related complications remain a main cause of maternal mortality. There is little evidence on the availability and quality of post-abortion care (PAC) in humanitarian settings. We assessed the quality of PAC in two hospitals supported by an international organization in Jigawa State (Nigeria) and Bangui (Central African Republic, CAR). METHODS: We mapped indicators corresponding to the eleven domains of the WHO Maternal and Newborn Health quality-of-care framework to assess inputs, processes (provision and experience of care), and outcomes of PAC. We measured these indicators in four components of a cross-sectional multi-methods study: 1) an assessment of the hospitals' PAC signal functions, 2) a survey of the knowledge, attitudes, practices, and behavior of 140 Nigerian and 84 CAR clinicians providing PAC, 3) a prospective review of the medical records of 520 and 548 women presenting for abortion complications and, 4) a survey of 360 and 362 of these women who were hospitalized in the Nigerian and CAR hospitals, respectively. RESULTS: Among the total 27 PAC signal functions assessed, 25 were available in the Nigerian hospital and 26 in the CAR hospital. In both hospitals, less than 2.5% were treated with dilatation and sharp curettage. Over 80% of women received blood transfusion or curative antibiotics when indicated. However, antibiotics were given to about 30% of patients with no documented indication. Among discharged women in CAR, 99% received contraceptive counseling but only 39% did in Nigeria. Over 80% of women in Nigeria reported positive experiences of respect and preservation of dignity. Conversely, in CAR, 37% reported that their privacy was always respected during examination and 62% reported short or very short waiting time before seeing a health provider. In terms of communication, only 15% felt able to ask questions during treatment in both hospitals. The risk of abortion-near-miss happening ≥ 24h after presentation was 0.2% in Nigeria and 1.1% in CAR. Only 65% of women in the Nigerian hospital and 34% in the CAR hospital reported that the staff provided them best care all the time. CONCLUSION: Our comprehensive assessment identified that these two hospitals in humanitarian settings provided lifesaving PAC. However, hospitals need to strengthen the patient-centered approach engaging patients in their own care and ensuring privacy, short waiting times and quality provider-patient communication. Health professionals would benefit from instituting antibiotic stewardships to prevent antibiotic-resistance.

In humanitarian contexts, abortion complications are a leading cause of maternal mortality. Providing quality post-abortion care (PAC) is therefore an important part of needed services. We assessed the quality of PAC in two hospitals supported by an international organization in Jigawa State (Nigeria) and Bangui (Central African Republic). We measured quality indicators in four components: 1) an assessment of the equipment and human resources available in hospitals, 2) a survey of the knowledge, attitudes, practices, and behavior of clinicians providing PAC, 3) an assessment of the medical care provided by clinicians to women presenting with abortion complications and, 4) a survey of a subgroup of these women who were hospitalized. Both hospitals had almost all the equipment and human resources necessary to provide post-abortion care. Less than 2.5% of women received a non-recommended method to evacuate their uterus in both hospitals. More than 80% of women received a blood transfusion or antibiotics when they needed them. However, 30% of women received antibiotics without written justification and only 15% of women reported being able to ask questions about their treatment. Overall, only 65% of Nigerian women and 34% of Central African women said that the staff provided them with the best care all the time. The fact that less than 2% of women experienced a very severe complication 24 hours or more after their arrival at the two hospitals suggests that the care provided was lifesaving. But they urgently need to adopt a better patient-centered approach as well as to improve the rational management of antibiotics.

Clinical Impact of Metformin Therapy on Gestational Diabetes Mellitus and Maternal-Infant Health Outcomes.

Objective: This study aimed to assess the impact of metformin treatment on clinical parameters (blood glucose, inflammation, hormone levels) and outcomes for both mothers and infants in cases of gestational diabetes mellitus (GDM). Methods: A comparative study with a retrospective cohort design was conducted. A total of 96 patients diagnosed with gestational diabetes mellitus over the past three years in our hospital were included. The participants were divided into two groups: a control group receiving insulin treatment and a study group receiving metformin treatment. We compared the clinical effects between the two groups. Results: After treatment, the levels of postprandial 2-hour blood glucose, fasting blood glucose, and glycosylated hemoglobin significantly improved in both groups compared to pre-treatment levels. Moreover, the study group exhibited superior outcomes compared to the control group (P < .05). The levels of interleukin-8 (IL-8), tumor necrosis factor-α (TNF-α), and interleukin-1ß (IL-1ß) demonstrated improvement in both groups, with the study group outperforming the control group (P < .05). Additionally, the levels of Cystatin C (CysC) and Homocysteine (Hcy) in both groups improved post-treatment, with the study group showing better results than the control group (P < .05). Notably, the study group exhibited a lower incidence of adverse outcomes than the control group (P < .05). Conclusions: Metformin therapy demonstrated a significant clinical impact on gestational diabetes mellitus. Compared to insulin therapy, metformin showed superior effects on blood glucose, inflammation, hormone levels, and maternal and infant outcomes, suggesting its adoption for patient consideration.

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.

Evaluating the impact of the global evidence, local adaptation (GELA) project for enhancing evidence-informed guideline recommendations for newborn and young child health in three African countries: a mixed-methods protocol.

BACKGROUND: Poverty-related diseases (PRD) remain amongst the leading causes of death in children under-5 years in sub-Saharan Africa (SSA). Clinical practice guidelines (CPGs) based on the best available evidence are key to strengthening health systems and helping to enhance equitable health access for children under five. However, the CPG development process is complex and resource-intensive, with substantial scope for improving the process in SSA, which is the goal of the Global Evidence, Local Adaptation (GELA) project. The impact of research on PRD will be maximized through enhancing researchers and decision makers' capacity to use global research to develop locally relevant CPGs in the field of newborn and child health. The project will be implemented in three SSA countries, Malawi, South Africa and Nigeria, over a 3-year period. This research protocol is for the monitoring and evaluation work package of the project. The aim of this work package is to monitor the various GELA project activities and evaluate the influence these may have on evidence-informed decision-making and guideline adaptation capacities and processes. The specific project activities we will monitor include (1) our ongoing engagement with local stakeholders, (2) their capacity needs and development, (3) their understanding and use of evidence from reviews of qualitative research and, (4) their overall views and experiences of the project. METHODS: We will use a longitudinal, mixed-methods study design, informed by an overarching project Theory of Change. A series of interconnected qualitative and quantitative data collections methods will be used, including knowledge translation tracking sheets and case studies, capacity assessment online surveys, user testing and in-depth interviews, and non-participant observations of project activities. Participants will comprise of project staff, members of the CPG panels and steering committees in Malawi, South Africa and Nigeria, as well as other local stakeholders in these three African countries. DISCUSSION: Ongoing monitoring and evaluation will help ensure the relationship between researchers and stakeholders is supported from the project start. This can facilitate achievement of common goals and enable researchers in South Africa, Malawi and Nigeria to make adjustments to project activities to maximize stakeholder engagement and research utilization. Ethical approval has been provided by South African Medical Research Council Human Research Ethics Committee (EC015-7/2022); The College of Medicine Research and Ethics Committee, Malawi (P.07/22/3687); National Health Research Ethics Committee of Nigeria (01/01/2007).