Access to maternal health services for Indigenous women in low- and middle-income countries: an updated integrative review of the literature from 2018 to 2023.

INTRODUCTION: Ninety-seven per cent of Indigenous Peoples live in low-and middle-income countries (LMICs). A previous systematic integrative review of articles published between 2000 and 2017 identified numerous barriers for Indigenous women in LMICs in accessing maternal healthcare services. It is timely given the aim of achieving Universal Health Coverage in six years' time, by 2030, to undertake another review. This article updates the previous review exploring the recent available literature on Indigenous women's access to maternal health services in LMICs identifying barriers to services. METHODS: An integrative review of literature published between 2018 and 2023 was undertaken. This review followed a systematic process using Whittemore and Knafl's five-step framework for integrative reviews and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 944 articles were identified from six databases: Academic Search Premier, MEDLINE, Psychology and Behavioral Sciences Collection, APA PsycInfo, CINAHL Plus with Full Text and APA PsycArticles (through EBSCOhost). The search was undertaken on 16 January 2023. After screening of the title/abstract and the full text using inclusion and exclusion criteria 26 articles were identified. Critical appraisal resulted in 24 articles being included in the review. Data were extracted using a matrix informed by Penchansky and Thomas's taxonomy, extended by Saurman, which focused on six dimensions of access to health care: affordability, accessibility, availability, accommodation, acceptability and awareness. Ten studies took place in Asia, 10 studies were from the Americas and four studies took place in the African region. Seventeen articles were qualitative, two were quantitative and five were mixed methods. The methods for the integrative review were prespecified in a protocol, registered at Open Science Framework. RESULTS: Barriers identified included affordability; community awareness of services including poor communication between providers and women; the availability of services, with staff often missing from the facilities; poor quality services, which did not consider the cultural and spiritual needs of Indigenous Peoples; an overreliance on the biomedical model; a lack of facilities to enable appropriate maternal care; services that did not accommodate the everyday needs of women, including work and family responsibilities; lack of understanding of Indigenous cultures from health professionals; and evidence of obstetric violence and mistreatment of Indigenous women. CONCLUSION: Barriers to Indigenous women's access to maternal health services are underpinned by the social exclusion and marginalisation of Indigenous Peoples. Empowerment of Indigenous women and communities in LMICs is required as well as initiatives to challenge the stigmatisation and marginalisation that they face. The importance of community involvement in design and interventions that support the political and human rights of Indigenous Peoples are required. Limitations of this review include the possibility of missing articles as it was sometimes unclear from the articles whether a particular group was from an Indigenous community. More research on access to services in the postnatal period is still needed, as well as quality quantitative research. There is also a lack of research on Indigenous groups in North Africa, and in sub-Saharan Africa - especially hunter-gatherer groups - as well as the impact of COVID-19 on access to services.

Spatial distribution patterns of human resources allocation in maternal and child healthcare institutions in China from 2016 to 2021.

BACKGROUND: In China, economic, urbanization, and policy differences between the eastern and western regions lead to uneven healthcare resources. This disparity is more pronounced in the west due to fewer healthcare personnel per thousand individuals and imbalanced doctor-to-nurse ratios, which exacerbates healthcare challenges. This study examines the spatial distribution of human resources in maternal and child healthcare from 2016 to 2021, highlighting regional disparities and offering insights for future policy development. METHODS: The data were sourced from the "China Health and Family Planning Statistical Yearbook" (2017) and the "China Health and Health Statistics Yearbook" (2018-2022). This study utilized GeoDa 1.8.6 software to conduct both global and local spatial autocorrelation analyses, using China's administrative map as the base dataset. RESULTS: From 2016 to 2021, there was an upward trend in the number of health personnel and various types of health technical personnel in Chinese maternal and child healthcare institutions. The spatial distribution of these personnel from 2016 to 2021 revealed clusters characterized as high-high, low-low, high-low and low-high. Specifically, high-high clusters were identified in Guangxi, Hunan, Jiangxi, and Guangdong provinces; low-low in Xinjiang Uygur Autonomous Region and Inner Mongolia Autonomous Region; high-low in Sichuan province; and low-high in Fujian and Anhui provinces. CONCLUSIONS: From 2016 to 2021, there was evident spatial clustering of health personnel and various health technical personnel in Chinese maternal and child healthcare institutions, indicating regional imbalances.

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.

The Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF): German Translation and Psychometric Assessment.

BACKGROUND: German-speaking mothers have breastfeeding rates below the international breastfeeding recommendations. Previous research has found that breastfeeding self-efficacy is an important and modifiable predictor of breastfeeding outcomes, thus improving breastfeeding rates. The Breastfeeding Self-Efficacy Scale-Short Form (BSES-SF) is used in many countries to assess maternal breastfeeding self-efficacy. This instrument has not been available in German. RESEARCH AIMS: To translate the BSES-SF into German and assess its psychometric properties among breastfeeding mothers up to 12 weeks postpartum. METHODS: This cross-sectional study was conducted online with 355 breastfeeding mothers recruited from breastfeeding groups through Facebook. The BSES-SF was translated into German using forward and back-translation. To test reliability, item-total characteristics, including Cronbach's alpha, were examined. We used principal component analysis, as well as known-groups comparisons for evaluating construct validity, and examined the relationship between breastfeeding self-efficacy and demographic variables. RESULTS: The mean age of participants was 32.4 years (SD = 4.32). The Cronbach's alpha coefficient was .88 and corrected item-total correlations ranged between .37 and .73. Principal components analysis yielded one component with factor loadings >.40 and an eigenvalue of 5.62, which explained 40% of the total variance. In addition, known group comparisons provided further evidence for construct validity. There was no significant difference in BSES-SF scores in terms of demographic and obstetrics characteristics. CONCLUSION: Our results provide evidence that the German version of the BSES-SF is a reliable and valid tool for measuring breastfeeding self-efficacy among mothers in German-speaking countries.

The prevalence of anemia during pregnancy and its correlates vary by trimester and hemoglobin assessment method in Eastern Maharashtra, India.

Approximately half of pregnant women in India are anemic, representing over 7.5 million women. Few studies have assessed the relationship between multiple micronutrient deficiencies and anemia during pregnancy or the trajectory of hemoglobin (Hb) during pregnancy in low-resource settings. We enrolled 200 pregnant women from the Maternal and Newborn Health (MNH) registry, a population-based pregnancy and birth registry in Eastern Maharashtra, India to address these gaps. The women provided capillary (finger-prick) and venous blood specimens at enrollment (<15 weeks), and a second capillary specimen in the 3rd trimester (>27 weeks). Capillary specimens were analyzed at the time of collection with a HemoCue Hb 201+; venous specimens were shipped on dry ice to a laboratory for cyanmethemoglobin assessment. In the 1st trimester, mean Hb concentration and anemia (Hb<11.0 g/dL) prevalence using capillary specimens were 10.9 ± 1.5 g/dL and 51.1%; mean Hb concentration using venous blood specimens was estimated to be 11.3 ± 1.3 g/dL and anemia prevalence was 37.5%. The prevalence of iron, vitamin B12 and folate deficiencies were 40%, 30% and 0%, respectively. Among women with anemia in the 1st trimester (venous blood), 56% had concurrent iron deficiency (inflammation-adjusted serum ferritin <15 µg/L) indicating that their anemia may be amenable to iron supplementation. In total, 21% of women had ID and anemia, 19% ID in the absence of anemia, 16.5% anemia in the absence of ID and 43.5% had neither. By the 3rd trimester, mean Hb from capillary specimens had declined to 10.1 ± 1.35 g/dL and anemia prevalence increased to 70.7%, despite 99.4% mothers reporting receipt of iron-folic acid (IFA) supplements during her current pregnancy, and 83.9% reporting IFA consumption the previous day. Significant predictors of anemia in the 1st trimester (both venous and capillary) included the number of weeks gestation at the time of Hb assessment and inflammation-adjusted serum ferritin. For 3rd trimester anemia, significant predictors included 1st trimester height, BMI and IFA consumption during the 3rd trimester (but not 1st trimester micronutrient biomarkers), indicating that IFA supplementation over the course of pregnancy may have influenced micronutrient status and anemia risk. Our findings highlight the severity of the burden of anemia and micronutrient deficiencies in Eastern Maharashtra, but also highlight that in many cases, ID and anemia affect different individuals. Preventing and managing anemia in pregnancy in India will require strengthening both clinical and community-based strategies targeting iron deficiency, as well as other causes of anemia.

Antenatal cardiotocography in primary midwife-led care: a budget impact analysis.

OBJECTIVES: In many countries, the healthcare sector is dealing with important challenges such as increased demand for healthcare services, capacity problems in hospitals and rising healthcare costs. Therefore, one of the aims of the Dutch government is to move care from in-hospital to out-of-hospital care settings. An example of an innovation where care is moved from a more specialised setting to a less specialised setting is the performance of an antenatal cardiotocography (aCTG) in primary midwife-led care. The aim of this study was to assess the budget impact of implementing aCTG for healthy pregnant women in midwife-led care compared with usual obstetrician-led care in the Netherlands. METHODS: A budget impact analysis was conducted to estimate the actual costs and reimbursement of aCTG performed in midwife-led care and obstetrician-led care (ie, base-case analysis) from the Dutch healthcare perspective. Epidemiological and healthcare utilisation data describing both care pathways were obtained from a prospective cohort, survey and national databases. Different implementation rates of aCTG in midwife-led care were explored. A probabilistic sensitivity analysis was conducted to estimate the uncertainty surrounding the budget impact estimates. RESULTS: Shifting aCTG from obstetrician-led care to midwife-led-care would increase actual costs with €311 763 (97.5% CI €188 574 to €426 072) and €1 247 052 (97.5% CI €754 296 to €1 704 290) for implementation rates of 25% and 100%, respectively, while it would decrease reimbursement with -€7 538 335 (97.5% CI -€10 302 306 to -€4 559 661) and -€30 153 342 (97.5% CI -€41 209 225 to -€18 238 645) for implementation rates of 25% and 100%, respectively. The sensitivity analysis results were consistent with those of the main analysis. CONCLUSIONS: From the Dutch healthcare perspective, we estimated that implementing aCTG in midwife-led care may increase the associated actual costs. At the same time, it might lower the healthcare reimbursement.

Implications of Childhood Autism Spectrum Disorder for Maternal Employment: United States vs. Norway.

OBJECTIVES: A country's social welfare system may play an important role in maternal employment. This study compared the labor market participation of mothers of children within the United States (U.S.) and Norway to examine whether the child's age and severity of the ASD affected mothers' employment differently between the two countries. METHODS: The 2019 National Survey of Children's Health was used for the U.S. analysis, and the 2019 administrative register data were used for the Norwegian analysis. A logit model was used to analyze the impact of a child's age and ASD severity on maternal employment in the U.S. and Norway. We presented the results as average marginal effects obtained from the logistic regression analyses. RESULTS: After adjusting for mothers' sociodemographic variables and the child's age, U.S. mothers of children with mild ASD and moderate/severe ASD had respectively 12 and 25% points lower probability of being employed than U.S. mothers of children without special health care needs. In Norway, mothers of children with moderate/severe ASD had a 13% points lower probability of employment than mothers without special health care needs. The probability of being employed for mothers caring for a child with ASD was significantly greater as the child got older in both countries. CONCLUSIONS FOR PRACTICE: The employment gap was more substantial in the U.S. than in Norway. A general high employment participation rate among women and an elaborated welfare state and policy package seem to benefit employment among mothers of children with ASD in Norway.

The cost of inaction on preconception health in Nigeria: An economic impact analysis.

A growing body of evidence has shown the effects of poor preconception health on adverse pregnancy outcomes and, subsequently, maternal and child morbidity and mortality. However, the cost of poor preconception health remains relatively unexplored. Using the case of Nigeria, this study provides the first estimate of the disease and economic burden of poor preconception health at a country level. Using data from international databases and the scientific literature, the study used a cost-of-illness approach to quantify the foregone productivity and direct healthcare costs resulting from six preconception risk factors (adolescent pregnancy, short birth interval, overweight and obesity, intimate partner violence, female genital mutilation, folate deficiency). The results indicate that 6.7% of maternal deaths, 10.9% of perinatal deaths, and 10.5% of late neonatal deaths were attributable to the selected preconception risk factors in 2020. The economic burden of poor preconception health in Nigeria was estimated at US$ 3.3 billion in 2020, of which over 90% was generated by premature mortality. If prevalence rates remain constant, total economic losses could amount to US$ 46.2 billion by 2035. This analysis paves the way for further studies investigating the economic costs and benefits of preconception interventions and policies in low and middle-income countries.

Wealth and education-related inequalities in the utilisation of reproductive, maternal, newborn, and child health interventions within scheduled tribes in India: an analysis of Odisha and Jharkhand.

BACKGROUND: The utilisation of Reproductive, Maternal, Newborn and Child Health (RMNCH) services remains lower among the Scheduled Tribes (ST) in India than among the rest of the country's population. The tribal population's poorest and least-educated households are further denied access to RMNCH care due to the intersection of their social status, wealth, and education levels. The study analyses the wealth- and education-related inequalities in the utilisation of RMNCH services within the ST population in Odisha and Jharkhand. METHODOLOGY: We have constructed two summary measures, namely, the Co-coverage indicator and a modified Composite Coverage Index (CC), to determine wealth- and education-related inequalities in the utilisation of RMNCH indicators within the ST population in Odisha and Jharkhand. The absolute and relative inequalities with respect to wealth and education within the ST population are estimated by employing the Slope Index of Inequality (SII) and the Relative Index of Inequality (RII). RESULTS: The results of the study highlight that access to RMNCH services is easier for women who are better educated and belong to wealthier households. The SII and RII values in the co-coverage indicator and modified CCI exhibit an increase in wealth-related inequalities in Odisha between NFHS-4 (2015-16) and NFHS-5 (2019-21) whereas in Jharkhand, the wealth- and education-related absolute and relative inequalities present a reduction between 2016 and 2021. Among the indicators, utilisation of vaccination was high, while the uptake of Antenatal Care Centre Visits and Vitamin A supplementation should be improved. INTERPRETATION: The study results underscore the urgent need of targeted policies and interventions to address the inequalities in accessing RMNCH services among ST communities. A multi-dimensional approach that considers the socioeconomic, cultural and geographical factors affecting healthcare should be adopted while formulating health policies to reduce inequalities in access to healthcare.

Assessment of Knowledge, Attitudes, and Practices Regarding Non-Inherited Risk Factors for Congenital Heart Disease Among Mothers in Al-Baha City, Saudi Arabia: A Cross-Sectional Study.

Background Despite advancements in healthcare, congenital heart disease (CHD) remains a global concern. It is crucial to understand non-inherited risk factors for CHD to develop effective prevention strategies. This study evaluates the awareness and impact of socio-economic factors on the knowledge and practices regarding CHD among mothers in Al-Baha City, Saudi Arabia. Methods A cross-sectional study was conducted using a structured questionnaire distributed among 300 mothers. This questionnaire collected demographic data and assessed the knowledge of non-inherited CHD risk factors, along with associated health practices. Chi-square tests were employed for categorical variables, and logistic regression was used to analyze the influence of socioeconomic factors on awareness levels. Results The study revealed a significant association between higher educational levels and increased awareness of CHD risk factors. About 75% of mothers with postgraduate education accurately identified major risk factors, compared to 30% of those with only a high school education. Additionally, income levels influenced health practices, with higher-income groups showing better adherence to recommended health behaviors. Conclusion Our findings highlight the need for targeted educational interventions tailored to diverse socio-economic backgrounds to enhance awareness of CHD risk factors and promote preventive health practices. The study emphasizes the importance of incorporating socioeconomic considerations into public health strategies to reduce the incidence of CHD.

Structural heteropatriarchy and maternal cardiovascular morbidities.

The United States has some of the poorest maternal health outcomes of any developed nation. Existing research on maternal cardiovascular morbidities has focused predominantly on individual- and clinic-level drivers, but we know little about community- and structural-level factors that shape these outcomes. We use a composite measure of "structural heteropatriarchy" which includes measures of structural sexism and structural LGB-stigma to examine the relationship between structural heteropatriarchy and three cardiovascular-related maternal morbidities using the National Longitudinal Study of Adolescent to Adult Health (n = 3928). Results using multivariate regressions show that structural heteropatriarchy is associated with increased risk of reporting maternal morbidities. Our findings provide further evidence that sexuality- and gender-based stigma operate together to shape health disparities, including maternal health.

Eight years into the horizon of aspirational maternal and newborn health pledges: a nationwide cross-sectional exploration of the Burundian EmONC network capacity and budget deficits.

OBJECTIVE: The Burundian emergency obstetric and neonatal care (EmONC) programme, which was initiated in 2017 and supported by a specific policy, does not appear to reverse maternal and newborn mortality trends. Our study examined the capacity challenges facing participating EmONC facilities and developed alternative investment proposals to improve their readiness paying particular attention to EmONC professionals, physical infrastructure, and capital equipment. DESIGN: Cross-sectional study. SETTING: Burundian EmONC facilities (n=112). PARTICIPANTS: We examined EmONC policy documents, consulted 12 maternal and newborn health experts and 23 stakeholders and policymakers, surveyed all EmONC facilities (n=112), and collected cost data from the Ministry of Health and local suppliers in Burundi. We developed three context-specific EmONC resource benchmark standards by facility type; the Burundian policy norms and the expert minimum and maximum suggested thresholds; and used these alternatives to estimate EmONC resource gaps. We forecasted three corresponding budget estimates needed to address prevailing deficits taking a government perspective for a 5-year EmONC investment strategy. Additionally, we explored relationships between EmONC professionals and selected measures of service delivery using bivariate analyses and graphically. RESULTS: The lowest EmONC resource benchmark revealed that 95% of basic EmONC and all comprehensive EmONC facilities lack corresponding sets of human resources and 90% of all facilities need additional physical infrastructure and capital equipment. Assessed against the highest benchmark which proposes the most progressive set of standards for the prevailing workloads, Burundi would require 162 more medical doctors, 1005 midwives and nurses, 132 delivery rooms, 191 delivery tables, 678 and 156 maternity and newborn care beds, and 395 incubators amounting to US$32.9 million additional budget for 5 years. CONCLUSION: We demonstrated that Burundian EmONC facilities face enormous capacity challenges equivalent to US$32.9 million funding gap for 5 years; averagely approximating to 5.96% total health budget increase annually.

Pregnancy with endometriosis: Assessment of national-level trends, characteristics, and maternal morbidity at delivery.

OBJECTIVE: To examine pregnancy characteristics and maternal morbidity at delivery among pregnant patients with a diagnosis of endometriosis. STUDY DESIGN: This cross-sectional study queried the Healthcare Cost and Utilization Project's National Inpatient Sample. Study population was 17,796,365 hospital deliveries from 2016 to 2020, excluded adenomyosis and uterine myoma. The exposure was endometriosis diagnosis. Main outcome measures were clinical and pregnancy characteristics and severe maternal morbidity at delivery related to endometriosis, assessed with multivariable regression model. RESULTS: Endometriosis was diagnosed in 17,590 patients. The prevalence of endometriosis increased by 24 % from one in 1,191 patients in 2016 to one in 853 patients in 2020 (adjusted-odds ratio [aOR] 1.24, 95% confidence interval [CI] 1.19-1.30). Clinical and pregnancy characteristics that had greater than two-fold association to endometriosis included polycystic ovary syndrome, placenta previa, cesarean delivery, maternal age of ≥30 years, prior pregnancy loss, and anxiety disorder. Pregnant patients with endometriosis were more likely to have the diagnosis of measured severe maternal morbidity during the index hospitalization for delivery (47.8 vs 17.3 per 1,000 deliveries, aOR 1.91, 95%CI 1.78-2.06); these associations were more prominent following vaginal (aOR 2.82, 95%CI 2.41-3.30) compared to cesarean (aOR 1.85, 95%CI 1.71-2.00) deliveries. Among the individual morbidity indicators, endometriosis was most strongly associated with thromboembolism (aOR 5.05, 95%CI 3.70-6.91), followed by sepsis (aOR 2.39, 95%CI 1.85-3.09) and hysterectomy (aOR 2.18, 95%CI 1.85-2.56). When stratified for endometriosis anatomical site, odds of thromboembolism was increased in endometriosis at distant site (aOR 9.10, 95%CI 3.76-22.02) and adnexa (aOR 7.37, 95%CI 4.43-12.28); odds of sepsis was most increased in endometriosis at multi-classifier locations (aOR 7.33, 95%CI 2.93-18.31) followed by pelvic peritoneum (aOR 5.54, 95%CI 2.95-10.40); and odds of hysterectomy exceeded three-fold in endometriosis at adnexa (aOR 3.00, 95%CI 2.30-3.90), distant site (aOR 5.36, 95%CI 3.48-8.24), and multi-classifier location (aOR 4.46, 95%CI 2.11-9.41). CONCLUSION: The results of this nationwide analysis suggest that pregnancy with endometriosis is uncommon but gradually increasing over time in the United States. The data also suggest that endometriosis during pregnancy is associated with increased risk of severe maternal morbidity at delivery, especially for thromboembolism, sepsis, and hysterectomy. These morbidity risks differed by the anatomical location of endometriosis.

A positive deviant approach to examining the impact of Covid-19 on ethnic inequalities in maternal and neonatal outcomes.

OBJECTIVES: During the COVID-19 pandemic, rapid and heterogeneous changes were made to maternity care. Identification of changes that may reduce maternal health inequalities is a national priority. The aim of this project was to use data collected about care and outcomes to identify NHS Trusts in the UK where inequalities in outcomes reduced during the pandemic and explore through interviews how the changes that occurred may have led to a reduction in inequalities. METHODS: A Women's Reference Group of public advisors guided the project. Analysis of Hospital Episode Statistics Admitted Patient Care data of 128 organisations in England identified "positive deviant" organisations that reduced inequalities, using maternal and perinatal composite adverse outcome indicators. Positive deviant organisations were identified for investigation, alongside comparators. Senior clinicians, heads of midwifery and representatives of women giving birth were interviewed. Reflexive thematic analysis was employed. RESULTS: The change in the inequality gap for the maternal indicator ranged from a reduction of -0.24 to an increase of 0.30 per 1000 births between the pre-pandemic and pandemic period. For the perinatal composite indicator, the change in inequality gap ranged from -0.47 to 0.67 per 1000 births. Nine Trusts were identified as positive deviants and 10 as comparators. We conducted 20 interviews from six positive deviant and four comparator organisations. Positive deviants reported that necessary shifts in roles led to productive and novel use of expert staff; comparators reported senior staff 'stepping in' where needed and no benefits of this. They reported proactivity and quick reactions, increased team working, and rapid implementation of new ideas. Comparators found constant changes overwhelming, and no increase in team working. No specific differences in care processes were identified. CONCLUSIONS: Harnessing proactivity, flexibility, staffing resource, and increased team working proves vital in reducing health inequalities.

Cumulative sum learning curve for cordocentesis among maternal-fetal medicine fellows in a low-cost simulation model.

OBJECTIVE: To determine the individual learning curves for cordocentesis in a low-cost simulator for maternal-fetal medicine (MFM) fellows. METHODS: This observational, descriptive, educational, and prospective study was performed from July through November 2022. After an introductory course based on a standardized technique for cordocentesis, each second-year MFM fellow who accepted to participate in the study performed this procedure using a low-cost simulation model, and experienced operators supervised the cordocenteses. Learning curves were then created using cumulative sum analysis (CUSUM). RESULTS: Seven second-year MFM fellows with no previous experience in cordocentesis accepted to participate in the study. A total of 2676 procedures were assessed. On average, residents performed 382 ± 70 procedures. The mean number of procedures to achieve proficiency was 369 ± 70, the overall success rate was 84.16%, and the corresponding failure rate was 15.84%. At the end of the study, all fellows were considered competent in cordocentesis. One fellow required 466 attempts to achieve competency, performing a total of 478 procedures, but the resident with the fewest attempts to reach competency required 219 procedures, completing 232 procedures. Some of the most frequent reasons for failed attempts included not reaching the indicated point for vascular access (20.99%) and being unable to retrieve the sample (69.10%). CONCLUSION: CUSUM analysis to assess learning curves, in addition to using low-cost simulation models, helped to appraise individualized learning, allowing an objective demonstration of competency for cordocentesis among MFM fellows.

Improving healthcare accessibility for pregnant women and children in the context of health system strengthening initiatives and terrorist attacks in Central Mali: a controlled interrupted time series analysis.

INTRODUCTION: The Health and Social Development Program of the Mopti Region (PADSS2) project, launched in Mali's Mopti region, targeted Universal Health Coverage (UHC). The project addressed demand-side barriers by offering an additional subsidy to household contributions, complementing existing State support (component 1). Component 2 focused on supply-side improvements, enhancing quality and coverage. Component 3 strengthened central and decentralised capacity for planning, supervision and UHC reflection, integrating gender mainstreaming. The study assessed the impact of the project on maternal and child healthcare use and explored how rising terrorist activities might affect these health outcomes. METHODS: The impact of the intervention on assisted births, prenatal care and curative consultations for children under 5 was analysed from January 2016 to December 2021. This was done using an interrupted time series analysis, incorporating a comparison group and spline regression. RESULTS: C1 increased assisted deliveries by 0.39% (95% CI 0.20 to 0.58] and C2 by 1.52% (95% CI 1.36 to 1.68). C1-enhanced first and fourth antenatal visits by 1.37% (95% CI 1.28 to 1.47) and 2.07% (95% CI 1.86 to 2.28), respectively, while C2 decreased them by 0.53% and 1.16% (95% CI -1.34 to -0.99). For child visits under 5, C1 and C2 showed increases of 0.32% (95% CI 0.20 to 0.43) and 1.36% (95% CI 1.27 to 1.46), respectively. In areas with terrorist attacks, child visits decreased significantly by 24.69% to 39.86% compared with unexposed areas. CONCLUSION: The intervention had a limited impact on maternal and child health, falling short of expectations for a health system initiative. Understanding the varied effects of terrorism on healthcare is key to devising strategies that protect the most vulnerable in the system.

Making the health system work for over 25 million births annually: drivers of the notable decline in maternal and newborn mortality in India.

INTRODUCTION: India's progress in reducing maternal and neonatal mortality since the 1990s was faster than the regional average. We systematically analysed how national health policies, services for maternal and newborn health, and socioeconomic contextual changes, drove these mortality reductions. METHODS: The study's mixed-methods design integrated quantitative trend analyses of mortality, intervention coverage and equity since the 1990s, using the sample registration system and national surveys, with interpretive understandings from policy documents and 13 key informant interviews. RESULTS: India's maternal mortality ratio (MMR) declined from 412 to 103 maternal deaths per 100 000 live births between 1997-1998 and 2017-2019. The neonatal mortality rate (NMR) declined from 46 to 22 per 1000 live births between 1997 and 2019. The average annual rate of mortality reduction increased over time. During this period, coverage of any antenatal care (57%-94%), quality antenatal care (37%-85%) and institutional delivery (34%-90%) increased, as did caesarean section rates among the poorest tertile (2%-9%); these coverage gains occurred primarily in the government (public) sector. The fastest rates for increasing coverage occurred during 2005-2012.The 2005-2012 National Rural Health Mission (which became the National Health Mission in 2012) catalysed bureaucratic innovations, additional resources, pro-poor commitments and accountability. These efforts occurred alongside smaller family sizes and improvements in macroeconomic growth, mobile and road networks, women's empowerment, and nutrition. These together reduced high-risk births and improved healthcare access, particularly among the poor. CONCLUSION: Rapid reduction in NMR and MMR in India was accompanied by increased coverage of maternal and newborn health interventions. Government programmes strengthened public sector services, thereby expanding the reach of these interventions. Simultaneously, socioeconomic and demographic shifts led to fewer high-risk births. The study's integrated methodology is relevant for generating comprehensive knowledge to advance universal health coverage.

Effective multi-sectoral approach for rapid reduction in maternal and neonatal mortality: the exceptional case of Bangladesh.

BACKGROUND: Bangladesh experienced impressive reductions in maternal and neonatal mortality over the past several decades with annual rates of decline surpassing 4% since 2000. We comprehensively assessed health system and non-health factors that drove Bangladesh's success in mortality reduction. METHODS: We operationalised a comprehensive conceptual framework and analysed available household surveys for trends and inequalities in mortality, intervention coverage and quality of care. These include 12 household surveys totalling over 1.3 million births in the 15 years preceding the surveys. Literature and desk reviews permitted a reconstruction of policy and programme development and financing since 1990. These were supplemented with key informant interviews to understand implementation decisions and strategies. RESULTS: Bangladesh prioritised early population policies to manage its rapidly growing population through community-based family planning programmes initiated in mid-1970s. These were followed in the 1990s and 2000s by priority to increase access to health facilities leading to rapid increases in facility delivery, intervention coverage and access to emergency obstetric care, with large contribution from private facilities. A decentralised health system organisation, from communities to the central level, openness to private for-profit sector growth, and efficient financing allocation to maternal and newborn health enabled rapid progress. Other critical levers included poverty reduction, women empowerment, rural development, and culture of data generation and use. However, recent empirical data suggest a slowing down of mortality reductions. CONCLUSION: Bangladesh demonstrated effective multi-sectoral approach and persistent programming, testing and implementation to achieve rapid gains in maternal and neonatal mortality reduction. The slowing down of recent mortality trends suggests that the country will need to revise its strategies to achieve the Sustainable Development Goals. As fertility reached replacement level, further gains in maternal and neonatal mortality will require prioritising universal access to quality facility delivery, and addressing inequalities, including reaching the rural poor.

Challenges in reducing maternal and neonatal mortality in Niger: an in-depth case study.

INTRODUCTION: Recent modelled estimates suggest that Niger made progress in maternal mortality since 2000. However, neonatal mortality has not declined since 2012 and maternal mortality estimates were based on limited data. We researched the drivers of progress and challenges. METHODS: We reviewed two decades of health policies, analysed mortality trends from United Nations data and six national household surveys between 1998 and 2021 and assessed coverage and inequalities of maternal and newborn health indicators. Quality of care was evaluated from health facility surveys in 2015 and 2019 and emergency obstetric assessments in 2011 and 2017. We determined the impact of intervention coverage on maternal and neonatal lives saved between 2000 and 2020. We interviewed 31 key informants to understand the factors underpinning policy implementation. RESULTS: Empirical maternal mortality ratio declined from 709 to 520 per 100 000 live births during 2000-2011, while neonatal mortality rate declined from 46 to 23 per 1000 live births during 2000-2012 then increased to 43 in 2018. Inequalities in neonatal mortality were reduced across socioeconomic and demographic strata. Key maternal and newborn health indicators improved over 2000-2012, except for caesarean sections, although the overall levels were low. Interventions delivered during childbirth saved most maternal and newborn lives. Progress came from health centre expansion, emergency care and the 2006 fee exemptions policy. During the past decade, challenges included expansion of emergency care, continued high fertility, security issues, financing and health workforce. Social determinants saw minimal change. CONCLUSIONS: Niger reduced maternal and neonatal mortality during 2000-2012, but progress has stalled. Further reductions require strategies targeting comprehensive care, referrals, quality of care, fertility reduction, social determinants and improved security nationwide.

A tale of two exemplars: the maternal and newborn mortality transitions of two state clusters in India.

BACKGROUND: India's progress in reducing maternal and newborn mortality since the 1990s has been exemplary across diverse contexts. This paper examines progress in two state clusters: higher mortality states (HMS) with lower per capita income and lower mortality states (LMS) with higher per capita income. METHODS: We characterised state clusters' progress in five characteristics of a mortality transition model (mortality levels, causes, health intervention coverage/equity, fertility and socioeconomic development) and examined health policy and systems changes. We conducted quantitative trend analyses, and qualitative document review, interviews and discussions with national and state experts. RESULTS: Both clusters reduced maternal and neonatal mortality by over two-thirds and half respectively during 2000-2018. Neonatal deaths declined in HMS most on days 3-27, and in LMS on days 0-2. From 2005 to 2018, HMS improved coverage of antenatal care with contents (ANCq), institutional delivery and postnatal care (PNC) by over three-fold. In LMS, ANCq, institutional delivery and PNC rose by 1.4-fold. C-sections among the poorest increased from 1.5% to 7.1% in HMS and 5.6% to 19.4% in LMS.Fewer high-risk births (to mothers <18 or 36+ years, birth interval <2 years, birth order 3+) contributed 15% and 6% to neonatal mortality decline in HMS and LMS, respectively. Socioeconomic development improved in both clusters between 2005 and 2021; HMS saw more rapid increases than LMS in women's literacy (1.5-fold), household electricity (by 2-fold), improved sanitation (3.2-fold) and telephone access (6-fold).India's National (Rural) Health Mission's financial and administrative flexibility allowed states to tailor health system reforms. HMS expanded public health resources and financial schemes, while LMS further improved care at hospitals and among the poorest. CONCLUSION: Two state clusters in India progressed in different mortality transitions, with efforts to maximise coverage at increasingly advanced levels of healthcare, alongside socioeconomic improvements. The transition model characterises progress and guides further advances in maternal and newborn survival.