Global Financing Facility investments for vulnerable populations: content analysis regarding maternal and newborn health and stillbirths in 11 African countries, 2015 to 2019.

BACKGROUND: The Global Financing Facility (GFF) was launched in 2015 to catalyse increased domestic and external financing for reproductive, maternal, newborn, child, adolescent health, and nutrition. Half of the deaths along this continuum are neonatal deaths, stillbirths or maternal deaths; yet these topics receive the least aid financing across the continuum. OBJECTIVES: To conduct a policy content analysis of maternal and newborn health (MNH), including stillbirths, in GFF country planning documents, and assess the mortality burden related to the investment. METHODS: Content analysis was conducted on 24 GFF policy documents, investment cases and project appraisal documents (PADs), from 11 African countries. We used a systematic data extraction approach and applied a framework for analysis considering mindset, measures, and money for MNH interventions and mentions of mortality outcomes. We compared PAD investments to MNH-related deaths by country. RESULTS: For these 11 countries, USD$1,894 million of new funds were allocated through the PADs, including USD$303 million (16%) from GFF. All documents had strong content on MNH, with particular focus on pregnancy and childbirth interventions. The investment cases commonly included comprehensive results frameworks, and PADs generally had less technical content and fewer indicators. Mortality outcomes were mentioned, especially for maternal. Stillbirths were rarely included as targets. Countries had differing approaches to funding descriptions. PAD allocations are commensurate with the burden. CONCLUSIONS: The GFF country plans present a promising start in addressing MNH. Emphasising links between investments and burden, explicitly including stillbirth, and highlighting high-impact packages, as appropriate, could potentially increase impact.

Main finding: Maternal and newborn health care packages are strongly included in the Global Financing Facility policy documents for 11 African countries, especially regarding pregnancy and childbirth, though less for stillbirth, or postnatal care, or small and sick newborn care.Added knowledge: This study is the first independent content analysis of Global Financing Facility investment cases and related project appraisal documents, revealing mostly consistent content for maternal and newborn health across documents and overall correlation between national mortality burden and investments committed.Global health impact for policy and action: The Global Financing Facility have demonstrated promising initial investments for maternal and newborn health, although there are also missed opportunities for strengthening, especially for some neonatal high-impact packages and counting impact on stillbirths.

"It's different here" Afghan refugee maternal health experiences in the United States.

BACKGROUND: The number of Afghan families in the US has grown over the past two decades, yet there is a paucity of research focused on their maternal healthcare experiences. Afghan families have one of the highest fertility rates in the world and typically have large families. As the US faces rising maternal mortality rates, it is crucial to understand factors that affect health outcomes for culturally distinct groups. We aimed to better understand Afghan women's maternal health experiences in South Texas as a step toward designing culturally sensitive care. METHODS: Using a qualitative descriptive design, twenty Afghan women who gave birth in the US within the past 2 years participated in audio-recorded interviews. The first and second authors conducted each interview using a semi-structured interview guide. The authors used an in vivo coding method and qualitative content analysis of the transcribed narrative data. RESULTS: We identified three broad categories with corresponding sub-categories: 1) Maternal Healthcare Experiences: pregnancy, birthing, and postpartum, 2) Communication: language barrier, relationship with husband, and health information seeking, 3) Access to Care: transportation and financing healthcare. The participants expressed perspectives of gratefulness and positive experiences, yet some described stories of poor birth outcomes that led to attitudes of mistrust and disappointment. Distinct cultural preferences were shared, providing invaluable insights for healthcare providers. CONCLUSIONS: The fact that the Afghan culture is strikingly different than the US mainstream culture can lead to stereotypical assumptions, poor communication, and poor health outcomes. The voices of Afghan women should guide healthcare providers in delivering patient-centered, culturally sensitive maternity care that promotes healthy families and communities.

The continuum of care for maternal health in Africa: A systematic review and meta-analysis.

BACKGROUND: The continuum of care for maternal health (COCM) is a critical strategy for addressing preventable causes of maternal and perinatal mortality. Despite notable progress in reducing maternal and infant deaths globally, the problem persists, particularly in low-resource settings. Additionally, significant disparities in the provision of continuous care exist both between continents and within countries on the same continent. This study aimed to assess the pooled prevalence of completion across the maternity care continuum in Africa and investigate the associated factors. METHODS: Relevant articles were accessed through the EMBASE, CINAHL, Cochrane Library, PubMed, HINARI, and Google Scholar databases. Funnel plots and Egger's test were employed to assess publication bias, while the I-squared test was used to evaluate study heterogeneity. The inclusion criteria were limited to observational studies conducted exclusively in Africa. The quality of these studies was assessed using the JBI checklist. Data extraction from the included studies was performed using Microsoft Excel and then analysed using Stata 16 software. RESULTS: A total of 23 studies involving 74,880 mothers met the inclusion criteria. The overall prevalence of women who successfully completed the COCM was 20.9% [95% CI: 16.9-25.0]. Our analysis revealed several factors associated with this outcome, including urban residency [OR: 2.3; 95% CI: 1.6-3.2], the highest wealth index level [OR: 2.1; 95% CI: 1.4-3.0], primiparous status [OR: 1.3; 95% CI: 2.2-5.1], planned pregnancy [OR: 3.0; 95% CI: 2.3-3.7], and exposure to mass media [OR: 2.7; 95% CI: 1.9-3.8]. CONCLUSION: The study revealed that only 20.9% of women fully completed the COCM. It also identified several factors associated with completion of the COCM, such as residing in urban areas, possessing a higher wealth index, being a first-time mother, experiencing a planned pregnancy, and having access to mass media. Based on the study's findings, it is recommended that targeted interventions be implemented in rural areas, financial assistance be provided to women with lower wealth index levels, educational campaigns be conducted through mass media, early antenatal care be promoted, and family planning services be strengthened. REVIEW REGISTRATION: PROSPERO International Prospective Register of Systematic Reviews (ID: CRD42020205736).

Longitudinal association between maternal cardiovascular health in pregnancy and child birth outcomes.

The American Heart Association has updated its definition of cardiovascular health (CVH) with a new framework known as Life's Essential 8 (LE8). Although gestational CVH assessment has been recommended, its significance based on LE8 for birth outcomes is unknown. We thus evaluated the status of gestational CVH based on LE8 in 3036 pregnant women of the Shanghai Maternal-Child Pairs Cohort and the population of China Maternal Nutrition and Health Sciences Survey, and also examined the association between gestational CVH and child birth outcomes. We found that only a small proportion (12.84%) had high CVH, while 1.98% had low CVH in this cohort study. In adjusted models, a 10-point increase in the gestational CVH score, indicating a more favorable score, was associated with lower neonatal size such as birth weight (ß: - 37.05 [95% confidence interval: - 52.93, - 21.16]), birth length (- 0.12[- 0.22, - 0.01]), weight-for-height z-score (- 0.07[- 0.12, - 0.03]), body mass index z-score (- 0.09 [- 0.13, - 0.04]), length-for-age Z-score (- 0.03 [- 0.06, - 0.01]), and weight-for-age z-score (- 0.08 [- 0.12, - 0.05]). Also, a 10-point increase in the gestational CVH score was associated with the lower risk of large for gestational age (LGA) (0.82 [0.73, 0.92]) and macrosomia infant (0.75 [0.64, 0.88]). CVH categories showed similar results. That is, better maternal CVH status in pregnancy was associated with lower neonatal size and lower risks for LGA and macrosomia in newborns.

Early detection of pediatric health risks using maternal and child health data.

Machine learning (ML)-driven diagnosis systems are particularly relevant in pediatrics given the well-documented impact of early-life health conditions on later-life outcomes. Yet, early identification of diseases and their subsequent impact on length of hospital stay for this age group has so far remained uncharacterized, likely because access to relevant health data is severely limited. Thanks to a confidential data use agreement with the California Department of Health Care Access and Information, we introduce Ped-BERT: a state-of-the-art deep learning model that accurately predicts the likelihood of 100+ conditions and the length of stay in a pediatric patient's next medical visit. We link mother-specific pre- and postnatal period health information to pediatric patient hospital discharge and emergency room visits. Our data set comprises 513.9K mother-baby pairs and contains medical diagnosis codes, length of stay, as well as temporal and spatial pediatric patient characteristics, such as age and residency zip code at the time of visit. Following the popular bidirectional encoder representations from the transformers (BERT) approach, we pre-train Ped-BERT via the masked language modeling objective to learn embedding features for the diagnosis codes contained in our data. We then continue to fine-tune our model to accurately predict primary diagnosis outcomes and length of stay for a pediatric patient's next visit, given the history of previous visits and, optionally, the mother's pre- and postnatal health information. We find that Ped-BERT generally outperforms contemporary and state-of-the-art classifiers when trained with minimum features. We also find that incorporating mother health attributes leads to significant improvements in model performance overall and across all patient subgroups in our data. Our most successful Ped-BERT model configuration achieves an area under the receiver operator curve (ROC AUC) of 0.927 and an average precision score (APS) of 0.408 for the diagnosis prediction task, and a ROC AUC of 0.855 and APS of 0.815 for the length of hospital stay task. Further, we examine Ped-BERT's fairness by determining whether prediction errors are evenly distributed across various subgroups of mother-baby demographics and health characteristics, or if certain subgroups exhibit a higher susceptibility to prediction errors.

Cost-effectiveness of implementing performance-based financing for improving maternal and child health in Ethiopia.

INTRODUCTION: Performance Based Financing (PBF) supports realization of universal health coverage by promoting bargaining between purchasers and health service providers through identifying priority services and monitoring indicators. In PBF, purchasers use health statistics and information to make decisions rather than merely reimbursing invoices. In this respect, PBF shares certain elements of strategic health purchasing. PBF implementation began in Ethiopia in 2015 as a pilot at one hospital and eight health centers. Prior to this the system predominantly followed input-based financing where providers were provided with a predetermined budget for inputs for service provision. The purpose of the study is to determine whether the implementation of PBF is cost-effective in improving maternal and child health in Ethiopia compared to the standard care. METHODS: The current study used cost-effectiveness analysis to assess the effects of PBF on maternal and child health. Two districts implementing PBF and two following standard care were selected for the study. Both groups of selected districts share common grounds before initiating PBF in the selected group. The provider perspective costing approach was used in the study. Data at the district level were gathered retrospectively for the period of July 2018 to June 2021. Data from health service statistics were transformed to population level coverages and the Lives Saved Tool method used to compute the number of lives saved. Additionally for purpose of comparison, lives saved were translated into discounted quality-adjusted life years. RESULTS: The number of lives saved under PBF was 261, whereas number of lives saved under standard care was 194. The identified incremental cost per capita due to PBF was $1.8 while total costs of delivering service at PBF district was 8,816,370 USD per million population per year while the standard care costs 9,780,920 USD per million population per year. QALYs obtained under PBF and standard care were 6,118 and 4,526 per million population per year, respectively. CONCLUSIONS: The conclusion made from this analysis is that, implementing PBF is cost-saving in Ethiopia compared to the standard care. LIMITATIONS OF THE STUDY: Due to lack of district-level survey-based data, such as prevalence and effects on maternal and child health, national-level estimates were used into the LiST tool.There may be some central-level PBF start-up costs that were not captured, which may have spillover effects on the existing health system performance that this study has not considered.There may be health statistics data accuracy differences between the PBF and non-PBF districts. The researchers considered using data from records as reported by both groups of districts.

Toward zero maternal deaths

Since 2015, maternal mortality has been steadily increasing in the Americas, highlighting the need for urgent action. The maternal mortality ratio (MMR) in 2020 returned to the same level observed in the early 2000s, marking a setback of 20 years. Between 2015 and 2020, the MMR increased by 17% in the Americas, leading to 25 maternal deaths per day in 2020. Compared with other WHO Regions, the Americas has registered the highest increase in the MMR globally. Despite the fact that 98% of births were attended by skilled health personnel in 2020, the MMR in the Americas for that year was 68 deaths per 100 000 live births. It is estimated that since 2020 the MMR has remained at the same high level for the Region. Tackling this negative trend, in March 2023 the Regional Task Force for the Reduction of Maternal Mortality, led by the Pan American Health Organization (PAHO), launched the campaign Zero Maternal Deaths: Prevent the Preventable to accelerate progress toward the regional goal of fewer than 30 maternal deaths per 100 000 live births, as outlined in PAHO’s Sustainable Health Agenda for the Americas.

[The impact of health of mothers on health of children delivered by women 35-45 age old after application of auxiliary reproductive technologies].

The treatment of women aged 35 years and older with infertility applies assisted reproductive technologies (ART) in every third case. The purpose of the study is to analyze impact of maternal health on health of children who were delivered by women aged 35 years and older after application of ART. The analytical, direct observation, sociological (questioning), and statistical methods were applied. To study health status of children born after application of ART methods in women aged 35-45 years, representative main group of 648 preschool children (4-6 years old) was selected. The second control group included 649 preschool children (4-6 years old), who were as identical as possible to children from the main group, selected according to following characteristics: mother's age at birth of child (35-45 years), age (from 4 to 6 years), all were observed in same medical organization, birth from a singleton, full-term (37 weeks or more) pregnancy. The main and control groups differed from each other only in presence or absence of ART methods. The children born preterm, from egg donor programs and multiple pregnancies were excluded from study. The children health was studied according to medical examinations, medical records, child development history, and mothers questionnaire data on children health. The course of pregnancy and childbirth, morbidity and lifestyle characteristics of mothers were studied according to their questionnaires and copies of data from their outpatient medical records. It was established that there is direct correlation between health of child and health of mother (r = 0.571; p < 0.01, t = 3). At that, it was revealed that differences in level of general morbidity of children after ART and children from spontaneous pregnancy are achieved within account of significant differences in subgroup of children of mothers aged 38-45 years (3353.7‰ and 2341.8‰ control group).

The impact of the military conflict in Sudan on maternal health: a mixed qualitative and quantitative study.

Objectives: Ongoing military conflict in Sudan has had significant repercussions on the health and well-being of the population, particularly among women of reproductive age. This study aimed to investigate the impact of conflict on maternal health by employing a mixed qualitative and quantitative research approach. Methods: Through in-depth interviews and survey questionnaires (388 women), this study examined the experiences and challenges faced by pregnant women and new mothers and the availability and accessibility of maternal healthcare services in conflict-affected areas. Using a qualitative approach, in-depth interviews were conducted with 35 women who had recently given birth or were pregnant in regions affected by the Khartoum State-Sudan conflict. Thematic analysis was used to analyze the data collected from the interviews. Result: Most women did not have access to healthcare services (86.6%), and out of the total sample, 93 (24%) experienced adverse outcomes. The factors associated with adverse effects were parity (OR 1.78, CI [1.15-2.75], p-value 0.010), gestational age (OR 2.10, CI [1.36-3.25], p-value 0.002), access to healthcare (OR 2.35, CI [1.48-3.72], p-value 0.001), and delivery mode (OR 1.68, CI [1.05-2.69], p = 0.030). Factors significantly associated with accessibility to maternal healthcare services included age (OR, 1.28; = 0.042) and higher conflict levels (1.52 times higher odds, p = 0.021). The narratives and experiences shared by women exposed the multifaceted ways in which the conflict-affected maternal health outcomes. Conclusion: The significance of this study lies in its potential to contribute to the existing literature on maternal health in conflict-affected areas, especially in Sudan, and to help us understand how women can receive maternal health services.

Reexamining the use of race in medical algorithms: the maternal health calculator debate.

The concept of race is prevalent in medical, nursing, and public health literature. Clinicians often incorporate race into diagnostics, prognostic tools, and treatment guidelines. An example is the recently heavily debated use of race and ethnicity in the Vaginal Birth After Cesarean (VBAC) calculator. In this case, the critics argued that the use of race in this calculator implied that race confers immutable characteristics that affect the ability of women to give birth vaginally after a c-section. This debate is co-occurring as research continues to highlight the racial disparities in health outcomes, such as high maternal mortality among Black women compared to other racial groups in the United States. As the healthcare system contemplates the necessity of utilizing race-a social and political construct, to monitor health outcomes, it has sparked more questions about incorporating race into clinical algorithms, including pulmonary tests, kidney function tests, pharmacotherapies, and genetic testing. This paper critically examines the argument against the race-based Vaginal Birth After Cesarean (VBAC) calculator, shedding light on its implications. Moreover, it delves into the detrimental effects of normalizing race as a biological variable, which hinders progress in improving health outcomes and equity.

Maternal health agency in women with a low socioeconomic status: a qualitative study.

BACKGROUND: Health agency refers to one's capacity to form health-related goals, experience control, and possess the means to pursue them. Low socioeconomic status (SES) is linked to impaired health agency and increased risk of adverse pregnancy outcomes, potentially due to a reduced tendency to seek care. Better healthcare availability may not improve their pregnancy outcomes, and therefore improved understanding of maternal health agency is paramount. METHODS: Semi-structured interviews were conducted with 15 participants who either had children or desired to have them. Low SES was determined by neighborhood median income and educational attainment. A thematic content analyses was conducted. RESULTS: Two themes emerged: 1) Origin and development of personal goals, and 2) Awareness and competence. Participant's goals stemmed from cultural norms, personal narratives, and intuition. Integrated goals were those participants valued highly, were aware of, and strived for. Four subthemes were identified in goal-awareness and competence. Internal conflict due to discrepancies between goals and behavior resulted in the need to balance the burdens and benefits of behavior change. CONCLUSION: Maternal health agency is a modifiable outcome dependent on goal-awareness and various factors. Impaired agency seemed to stem from lack of goal-awareness rather than an inability to meet established pillars.

Contributing factors for reduction in maternal mortality ratio in India.

Maternal mortality ratio (MMR) estimates have been studied over time for understanding its variation across the country. However, it is never sufficient without accounting for presence of variability across in terms of space, time, maternal and system level factors. The study endeavours to estimate and quantify the effect of exposures encompassing all maternal health indicators and system level indicators along with space-time effects influencing MMR in India. Using the most recent level of possible -factors of MMR, maternal health indicators from the National Family Health Survey (NFHS: 2019-21) and system level indicators from government reports a heatmap compared the relative performance of all 19 SRS states. Facet plots with a regression line was utilised for studying patterns of MMR for different states in one frame. Using Bayesian Spatio-temporal random effects, evidence for different MMR patterns and quantification of spatial risks among individual states was produced using estimates of MMR from SRS reports (2014-2020). India has witnessed a decline in MMR, and for the majority of the states, this drop is linear. Few states exhibit cyclical trend such as increasing trends for Haryana and West Bengal which was evident from the two analytical models i.e., facet plots and Bayesian spatio- temporal model. Period of major transition in MMR levels which was common to all states is identified as 2009-2013. Bihar and Assam have estimated posterior probabilities for spatial risk that are relatively greater than other SRS states and are classified as hot spots. More than the individual level factors, health system factors account for a greater reduction in MMR. For more robust findings district level reliable estimates are required. As evident from our study the two most strong health system influencers for reducing MMR in India are Institutional delivery and Skilled birth attendance.

Extreme weather events and maternal health in low-income and middle-income countries: a scoping review.

BACKGROUND: Despite global efforts to improve maternal health and healthcare, women throughout the world endure poor health during pregnancy. Extreme weather events (EWE) disrupt infrastructure and access to medical services, however little is known about their impact on the health of women during pregnancy in resource-poor settings. OBJECTIVES: This review aims to examine the current literature on the impact of EWE on maternal health to identify the pathways between EWE and maternal health in low-income and middle-income countries to identify gaps. ELIGIBILITY CRITERIA: Studies were eligible for inclusion if they were published before 15 December 2022 and the population of the studies included pregnant and postpartum women (defined at up to 6 weeks postpartum) who were living in low-income and middle-income countries. The exposure of the included study must be related to EWE and the result to maternal health outcomes. SOURCES OF EVIDENCE: We searched the literature using five databases, Medline, Global Health, Embase, Web of Science and CINAHL in December 2022. We assessed the results using predetermined criteria that defined the scope of the population, exposures and outcomes. In total, 15 studies were included. CHARTING METHODS: We identified studies that fit the criteria and extracted key themes. We extracted population demographics and sampling methodologies, assessed the quality of the studies and conducted a narrative synthesis to summarise the key findings. RESULTS: Fifteen studies met the inclusion criteria. The quantitative studies (n=4) and qualitative (n=11) demonstrated an association between EWE and malnutrition, mental health, mortality and access to maternal health services. CONCLUSION: EWE negatively impact maternal health through various mechanisms including access to services, stress and mortality. The results have demonstrated concerning effects, but there is also limited evidence surrounding these broad topics in low-resource settings. Research is necessary to determine the mechanisms by which EWE affect maternal health. PROSPERO REGISTRATION NUMBER: CRD42022352915.

Trends in maternal and child health in China and its urban and rural areas from 1991 to 2020: a joinpoint regression model.

The long-term trends in maternal and child health (MCH) in China and the national-level factors that may be associated with these changes have been poorly explored. This study aimed to assess trends in MCH indicators nationally and separately in urban and rural areas and the impact of public policies over a 30‒year period. An ecological study was conducted using data on neonatal mortality rate (NMR), infant mortality rate (IMR), under-five mortality rate (U5MR), and maternal mortality ratio (MMR) nationally and separately in urban and rural areas in China from 1991 to 2020. Joinpoint regression models were used to estimate the annual percentage changes (APC), average annual percentage changes (AAPC) with 95% confidence intervals (CIs), and mortality differences between urban and rural areas. From 1991 to 2020, maternal and child mortalities in China gradually declined (national AAPC [95% CI]: NMRs - 7.7% [- 8.6%, - 6.8%], IMRs - 7.5% [- 8.4%, - 6.6%], U5MRs - 7.5% [- 8.5%, - 6.5%], MMRs - 5.0% [- 5.7%, - 4.4%]). However, the rate of decline nationally in child mortality slowed after 2005, and in maternal mortality after 2013. For all indicators, the decline in mortality was greater in rural areas than in urban areas. The AAPCs in rate differences between rural and urban areas were - 8.5% for NMRs, - 8.6% for IMRs, - 7.7% for U5MRs, and - 9.6% for MMRs. The AAPCs in rate ratios (rural vs. urban) were - 1.2 for NMRs, - 2.1 for IMRs, - 1.7 for U5MRs, and - 1.9 for MMRs. After 2010, urban‒rural disparity in MMR did not diminish and in NMR, IMR, and U5MR, it gradually narrowed but persisted. MCH indicators have declined at the national level as well as separately in urban and rural areas but may have reached a plateau. Urban‒rural disparities in MCH indicators have narrowed but still exist. Regular analyses of temporal trends in MCH are necessary to assess the effectiveness of measures for timely adjustments.

The drug drought in maternal health: an ongoing predicament.

We developed a comprehensive database of medicines that are used or are being investigated for pre-eclampsia or eclampsia, preterm birth or labour, postpartum haemorrhage, intrauterine growth restriction, and fetal distress and that were in active development between 2000 and 2021. A total of 444 candidates were identified: approximately half of candidates were in active development, two-thirds had been repurposed after initially being used for another condition, and just under half were in preclinical studies. Only 64 candidates were in active late-stage (phase 3) development as of Oct 25, 2021, and given the slow pace of biomedical development, it could take years before any of these products eventually make it to market. A lack of innovation for maternal health medicines persists, and the market continues to fail pregnant individuals. There is a need for collective action from all relevant stakeholders to accelerate investment in the development of new or improved medicines for pregnancy-related conditions.

Prenatal exposure to benzophenone-type UV filters and the associations with neonatal birth outcomes and maternal health in south China.

Benzophenone (BP)-type UV filters are commonly added to sunscreens and cosmetics to protect against UV radiation for human skin and hair. As a result, BPs are ubiquitous in the environment and human body, and their endocrine-disrupting characteristics have been a hot topic of discussion. However, our knowledge regarding the detrimental effects of prenatal exposure to BPs on pregnant women and their offspring remains limited. To fill this gap, we determined five BP derivatives in 600 serum samples obtained from pregnant women. All the target analytes, except 2,4-dihydroxybenzophenone (BP-1), have achieved a 100 % detection rate. The most prevalent compound was 2-hydroxy-4-methoxybenzophenone (BP-3), with a median concentration of 0.545 ng/mL. Significant and positive correlations were observed among BP derivatives, indicating both endogenous metabolism and common external sources. Utilizing Bayesian kernel machine regression (BKMR) and quantile-based g-computation (QGC) models, we found relationships between BP exposure and reduced neonatal birth weight (BW) and birth chest circumference (BC) during the third trimester. Notably, the adverse effect of BPs on birth size was sex-specific. Moreover, triglyceride (TG) was identified as a potential mediator of the effect of BPs on blood pressure, and co-exposure to BPs was linked to disruptions in thyroid hormone levels and glucose regulation. Further research is warranted to unravel the toxicity of BPs and their detrimental effects on pregnant women and fetuses.