Restricted spatial models for the analysis of geographic and racial disparities in the incidence of low birthweight in Pennsylvania.

The incidence of low birthweight is a common measure of public health due to the increased risk of complications associated with infants having low and very low birthweights. Moreover, many factors that increase the risk of an infant having a low birthweight can be linked to the mother's socioeconomic status, leading to large racial/ethnic disparities in its incidence. Our objective is thus to analyze the incidence of low and very low birthweight in Pennsylvania counties by race/ethnicity. Due to the small number of births in many Pennsylvania counties when stratified by race/ethnicity, our methods must walk a fine line: While we wish to leverage spatial structure to improve the precision of our estimates, we also wish to avoid oversmoothing the data, which can yield spurious conclusions. As such, we develop a framework by which we can measure (and control) the informativeness of our spatial model. To analyze the data, we first model the Pennsylvania birth data using the conditional autoregressive model to demonstrate the extent to which it can lead to oversmoothing. We then reanalyze the data using our proposed framework and highlight its ability to detect (or not detect) evidence of racial/ethnic disparities in the incidence of low birthweight.

Association of Medicaid expansion with birth outcomes: evidence from a natural experiment in Texas.

BACKGROUND: Empirical evidence on the effects of Medicaid expansion is mixed and highly state-dependent. The objective of this study is to examine the association of Medicaid expansion with preterm birth and low birth weight, which are linked to a higher risk of infant mortality and chronic health conditions throughout life, providing evidence from a non-expansion state, overall and by race/ethnicity. METHODS: We used the newborn patient records obtained from Texas Public Use Data Files from 2010 to 2019 for hospitals in Texarkana, which is located on the border of Texas and Arkansas, with all of the hospitals serving pregnancy and childbirth patients on the Texas side of the border. We employed difference-in-differences models to estimate the effect of Medicaid expansion on birth outcomes (preterm birth and low birth weight) overall and by race/ethnicity. Newborns from Arkansas (expanded Medicaid in 2014) constituted the treatment group, while those from Texas (did not adopt the expansion) were the control group. We utilized a difference-in-differences event study framework to examine the gradual impact of the Medicaid expansion on birth outcomes. RESULTS: Medicaid expansion was associated with a 1.38-percentage-point decrease (95% confidence interval (CI), 0.09-2.67) in preterm birth overall. Event study results suggest that preterm births decreased gradually over time. Medicaid expansion was associated with a 2.04-percentage-point decrease (95% CI, 0.24-3.85) in preterm birth and a 1.75-percentage-point decrease (95% CI, 0.42-3.08) in low birth weight for White infants. However, Medicaid expansion was not associated with significant changes in birth outcomes for other race/ethnicity groups.  CONCLUSIONS: Our findings suggest that Medicaid expansion in Texas can potentially improve birth outcomes. However, bridging racial disparities in birth outcomes might require further efforts such as promoting preconception and prenatal care, especially among the Black population.

Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight.

Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran's Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making.

Exploring gestational age, and birth weight assessment in Thatta district, Sindh, Pakistan: Healthcare providers' knowledge, practices, perceived barriers, and the potential of a mobile app for identifying preterm and low birth weight.

INTRODUCTION: Reliable methods for identifying prematurity and low birth weight (LBW) are crucial to ending preventable deaths in newborns. This study explored healthcare providers' (HCPs) knowledge, practice, perceived barriers in assessing gestational age and birth weight and their referral methods for preterm and LBW infants. The study additionally assessed the potential of using a mobile app for the identification and referral decision of preterm and LBW. METHODS: This qualitative descriptive study was conducted in Thatta District, Sindh, Pakistan. Participants, including doctors, nurses, lady health visitors, and midwives, were purposefully selected from a district headquarter hospital, and private providers in the catchment area of Global Network's Maternal and Newborn Health Registry (MNHR). Interviews were conducted using an interview guide after obtaining written informed consent. Audio recordings of the interviews were transcribed and analyzed using NVIVO® software with an inductive approach. RESULTS: The HCPs had extensive knowledge about antenatal and postnatal methods for assessing gestational age. They expressed a preference for antenatal ultrasound due to the perceived accuracy, though accept practical barriers including workload, machine malfunctions, and cost. Postnatal assessment using the Ballard score was only undertaken sparingly due to insufficient training and subjectivity. All HCPs preferred electronic weighing scales for birth weight Barriers encountered included weighing scale calibration and battery issues. There was variation in the definition of prematurity and LBW, leading to delays in referral. Limited resources, inadequate education, and negative parent past experiences were barriers to referral. Foot length measurements were not currently being used. While mobile apps are felt to have potential, unreliable electricity supply and internet connectivity are barriers. CONCLUSION: The HCPs in this study were knowledgeable in terms of potential tools, but acknowledged the logistical and parental barriers to implementation.

Linkages between maternal experience of intimate partner violence and child nutrition outcomes: A rapid evidence assessment.

BACKGROUND: A strong evidence base indicates that maternal caregivers' experience of intimate partner violence [IPV] impacts children's health, cognitive development, and risk-taking behaviors. Our objective was to review peer-reviewed literature describing the associations between a child's indirect exposure to IPV and corresponding nutrition outcomes, with a particular focus on fragile settings in low and middle-income countries [LMICs]. METHODS: We conducted a rapid evidence assessment to synthesize quantitative associations between maternal caregivers' IPV experience and children's nutrition/growth outcomes (birthweight, feeding, and growth indicators). We included peer-reviewed research, published in English or Spanish after the year 2000, conducted in fragile settings in LMICs. RESULTS: We identified 86 publications that fit inclusion criteria. Amongst all associations assessed, a maternal caregiver's experience of combined forms of IPV (physical, sexual and emotional) or physical IPV only, were most consistently associated with lower birthweight, especially during pregnancy. Women of child-bearing age, including adolescents, exposed to at least one type of IPV showed a decreased likelihood of following recommended breastfeeding practices. Lifetime maternal experience of combined IPV was significantly associated with stunting among children under 5 years of age in the largest study included, though findings in smaller studies were inconsistent. Maternal experience of physical or combined IPV were inconsistently associated with underweight or wasting in the first five years. Maternal experience of sexual IPV during pregnancy appeared to predict worsened lipid profiles among children. CONCLUSION: Maternal caregivers' experience of IPV is significantly associated with low birthweight and suboptimal breastfeeding practices, whereas studies showed inconsistent associations with child growth indicators or blood nutrient levels. Future research should focus on outcomes in children aged 2 years and older, investigation of feeding practices beyond breastfeeding, and examination of risk during time periods physiologically relevant to the outcomes. Programmatic implications include incorporation of GBV considerations into nutrition policies and programming and integrating GBV prevention and response into mother and child health and nutrition interventions in LMIC contexts.

Low birth weight, household socio-economic status, water and sanitation are associated with stunting and wasting among children aged 6-23 months: Results from a national survey in Ghana.

BACKGROUND: Stunting and wasting are key public health problems in Ghana that are significantly linked with mortality and morbidity risk among children. However, information on their associated factors using nationally representative data is scanty in Ghana. This study investigated the influence of Infant and Young Child Feeding (IYCF) indicators, socio-demographic and economic related factors, and water and sanitation on stunting and wasting, using nationally representative data in Ghana. METHODS: This is a secondary data analysis of the most recent (2017/2018) Ghana Multi-Indicator Cluster Survey (MICS) datasets. The multi-indicator cluster survey is a national cross-sectional household survey with rich data on women of reproductive age and children under the age of five. The survey used a two-stage sampling method in the selection of respondents and a computer-assisted personal interviewing technique to administer structured questionnaires from October 2017 to January 2018. The present study involved 2529 mother-child pairs, with their children aged 6 to 23 months. We used the Complex Sample procedures in SPSS, adjusting for clustering and stratification effects. In a bivariate logistic regression, variables with P-values ≤ 0.05 were included in a backward multivariate logistic regression to identify the significant factors associated with stunting and wasting. RESULTS: The mean age of children was 14.32 ± 0.14 months, with slightly more being males (50.4%). About 12% and 16% of the children were wasted and stunted, respectively. There were 39.4%, 25.9%, and 13.7% of children who, respectively, satisfied the minimum meal frequency (MMF), minimum dietary diversity (MDD), and minimum acceptable diet (MAD). None of the IYCF indicators was significantly associated with stunting or wasting in the multivariate analysis but low socio-economic status, low birth weight, being a male child and unimproved toilet facilities were significantly associated with both wasting and stunting. CONCLUSION: Our findings suggest that aside from the pre-natal period, in certain contexts, household factors such as low socio-economic status and poor water and sanitation, may be stronger predictors of undernutrition. A combination of nutrition-specific and nutrition-sensitive interventions including the pre-natal period to simultaneously address the multiple determinants of undernutrition need strengthening.

Obstetric care for environmental migrants.

BACKGROUND: Migration due to environmental factors is an international crisis affecting many nations globally. Pregnant people are a vulnerable subgroup of migrants. AIM: This article explores the potential effects of environmental migration on pregnancy and aims to draw attention to this rising concern. METHODS: Based on the study aim, a semi-structured literature review was performed. The following databases were searched: MEDLine (PubMed) and Google Scholar. The search was originally conducted on 31st January 2021 and repeated on 22nd September 2022. RESULTS: Pregnant migrants are at increased risk of mental health disorders, congenital anomalies, preterm birth, and maternal mortality. Pregnancies exposed to natural disasters are at risk of low birth weight, preterm birth, hypertensive disorders, gestational diabetes, and mental health morbidity. Along with the health risks, there are additional complex social factors affecting healthcare engagement in this population. CONCLUSION: Maternity healthcare providers are likely to provide care for environmental migrants over the coming years. Environmental disasters and migration as individual factors have complex effects on perinatal health, and environmental migrants may be at risk of specific perinatal complications. Obstetricians and maternity healthcare workers should be aware of these challenges and appreciate the individualised and specialised care that these patients require.

Prevalence and risk factors of low birth weight in the United States: An analysis of 2016-2021 data.

BACKGROUND: Low birthweight (LBW), infants weighing less than 2,500 g, is a global health concern associated with high infant morbidity and mortality rates. This study investigates LBW prevalence and its relation to maternal sociodemographic characteristics and lifestyle behaviors factors in the United States (US). METHODS: This analysis used the National Survey of Children's Health (NSCH) data from 2016 to 2021, including n = 225,443 children aged 0-17 years. 18,131 had LBW (<2,500 g), and 2810 had very LBW (VLBW) (<1,500 g). Logistic regression calculated odds ratios (OR) using LBW as the dependent variable, adjusting for various factors. RESULTS: Between 2016 and 2021 in the United States, LBW prevalence averaged 9.31%, with VLBW at 1.50%. Mothers aged 18-35, White, had the lowest LBW (7.63%) and VLBW (1.17%) rates. Mothers aged ≤18 years, black, had the highest LBW (15.45%) and VLBW infants (4.70%). Maternal age emerged as a significant LBW factor, with an OR of 1.27 for ≤18 and 1.19 for >35. Children in poor health had the highest OR (2.87). Race/ethnicity and other disparities were observed. CONCLUSION: Our study highlights LBW risk among non-White mothers with specific criteria, emphasizing the need for continued exploration of intersectional targets for change that are exacerbating LBW disparities among marginalized populations which may be artificially attributed to biologic determinants and individual-level risk factors. In-depth analysis of repressive structures at the root of inequalities demand continued research on macro levels of influence. Customized healthcare reform holds the greatest potential to disrupt the patterns contributing to poor health outcomes among LBW children, and will ultimately maximize the reach and effectiveness of health promotion strategies and clinical practices aimed to improve universal maternal and infant health.

Gaps in U.S. Public Health Monitoring and Surveillance Systems in Puerto Rico.

INTRODUCTION: Puerto Rico (PR) has an ambiguous status within Centers for Disease Control and Prevention (CDC) public health monitoring and surveillance systems. However, as a U.S. territory, PR relies on federal health resource allocation processes that are informed by these data sources. This study sought to quantify the coverage of PR within CDC-supported systems compared with the 50 states, describe coverage across critical system-types, and assess the availability of data collection instruments in Spanish. METHODS: This cross-sectional observational study employed the method of data curation by identifying, collecting, and categorizing data primarily from web-based sources maintained by the CDC. Data were originally collected and coded from August 2021 to March 2022 and reviewed by two additional coders from October 2022 to March 2023. Each curated system was assessed to determine coverage of PR across five system-types (probability-based, case-based, administrative, registry, and multiple-source) compared with the 50 states. The availability of data collection instruments in Spanish was also assessed. RESULTS: Of 93 active CDC-supported systems assessed, results revealed that PR was not covered in 54% of CDC-supported systems. Comparatively, inclusive coverage of all 50 states was only lacking in 33% of CDC-supported systems. Of the 32 CDC-supported systems in PR that could be coded for language, only 53% had data collection instruments in Spanish. CONCLUSIONS: There are significant gaps in the coverage of PR within CDC-supported systems. Future efforts must be made to identify the reasons for this exclusion and increase the territory's representation within these essential public health data systems.

Air Pollution and Racial Disparities in Pregnancy Outcomes in the United States: A Systematic Review.

BACKGROUND: Exposure to air pollutants and other environmental factors increases the risk of adverse pregnancy outcomes. There is growing evidence that adverse outcomes related to air pollution disproportionately affect racial and ethnic minorities. The objective of this paper is to explore the importance of race as a risk factor for air pollution-related poor pregnancy outcomes. METHODS: Studies investigating the effects of exposure to air pollution on pregnancy outcomes by race were reviewed. A manual search was conducted to identify missing studies. Studies that did not compare pregnancy outcomes among two or more racial groups were excluded. Pregnancy outcomes included preterm births, small for gestational age, low birth weight, and stillbirths. RESULTS: A total of 124 articles explored race and air pollution as risk factors for poor pregnancy outcome. Thirteen percent of these (n=16) specifically compared pregnancy outcomes among two or more racial groups. Findings across all reviewed articles showed more adverse pregnancy outcomes (preterm birth, small for gestational age, low birth weight, and stillbirths) related to exposure to air pollution among Blacks and Hispanics than among non-Hispanic Whites. CONCLUSION: Evidence support our general understanding of the impact of air pollution on birth outcomes and, specifically, of disparities in exposure to air pollution and birth outcomes for infants born to Black and Hispanic mothers. The factors driving these disparities are multifactorial, mostly social, and economic factors. Reducing or eliminating these disparities require interventions at individual, community, state, and national level.

Identifying Longer-Term Health Events and Outcomes and Health Service Use of Low Birthweight CALD Infants in Australia.

INTRODUCTION: Approximately one-third of all births in Australia each year are by culturally and linguistically diverse (CALD) women. CALD women are at an increased risk of adverse pregnancy and birth outcomes including prematurity and low birthweight. Infants born weighing less than 2500 g are susceptible to increased risk of ill health and morbidities such as cognitive defects including cerebral palsy, and neuro-motor functioning. METHODS: An existing linked administrative dataset, Maternity 1000 was utilized for this study which has identified all children born in Queensland (QLD), Australia, between 1st July 2012 to 30th June 2018 from the QLD Perinatal Data Collection. This has then been linked to the QLD Hospital Admitted Patient Data Collection, QLD Hospital Non-Admitted Patient Data Collection, QLD Emergency Department Data Collection, and Medicare Benefits Schedule and Pharmaceutical Benefits Scheme Claims Records between 1 and 2012 to 30th June 2019. RESULTS: Culturally and linguistically diverse infants born with low birthweight had higher mean and standard deviation of all health events and outcomes; potentially preventable hospitalisations, hospital re-admissions, ED presentations without admissions, and development of chronic diseases compared to non-CALD infants born with low birthweight. DISCUSSION: Results from this study highlight the disparities in health service use and health events and outcomes associated with low birthweight infants, between both CALD and Australian born women. This study has responded to the knowledge gap of low birthweight on the Australian economy by identifying that there are significant inequalities in access to health services for CALD women in Australia, as well as increased health events and poor birth outcomes for these infants when compared to those of mothers born in Australia.

Investigating the association between floods and low birth weight in India: Using the geospatial approach.

BACKGROUND: Frequent natural disasters like floods pose a major threat to India, with significant implications for public health. Low birth weight (LBW) is a critical global health concern, contributing to neonatal mortality. However, the association between floods and LBW remains underexplored. This study aims to address this gap by investigating the association between flood hazards and LBW in India using a geospatial approach. By analyzing data from the National Family Health Survey (NFHS-5) and flood zonation maps, the study aims to uncover the spatial dynamics of this association, offering insights into the implications of floods on birth weight across diverse geographical regions. METHODS: The study used the fifth round of NFHS data, 2019-21, which involved 202,194 children selected through a multi-stage stratified sampling technique. The Vulnerability Atlas of India 2019 maps were also utilized to classify areas as flood or non-flood zones. Birth weight data from the NFHS-5 were categorized into three groups: very low, low, and normal birth weight (VLBW, LBW and NBW). Control variables including flood exposure, socio-demographic attributes, and geographic region were considered. Bivariate analysis and multinomial logistic regression were employed for statistical analysis. The spatial analysis involved Moran's I statistics and Geographically Weighted Regression to explore spatial dynamics of the association between floods and birth weight in India. RESULTS: Floods predominantly affect India's lower Himalayan belts and western coastal regions. Flood-affected areas show higher proportions of VLBW and LBW infants. Groundwater usage and unimproved sanitation are associated with higher risk of VLBW and LBW. Sex, wealth, maternal education, residence type, and geographic region significantly influence birth weights. Multinomial logistic regression reveals 8 % and 27 % higher risks for LBW and VLBW in flood-affected regions. LISA cluster maps identify high-risk areas for both LBW and floods. Geographically Weighted Regression highlights 52 % of the variability in LBW occurrences can be attributed to the influence of flood hazards. Families hailing from the poorest wealth background and exposed to flood hazards bear a 5 % heightened likelihood of delivering LBW infants, in stark contrast to their counterparts from the same economic background yet unaffected by floods. CONCLUSIONS: The significant association between floods and LBW underscores the importance of robust disaster preparedness and public health strategies. By unraveling the spatial intricacies of flood-induced LBW disparities, this research provides valuable insights for promoting healthier birth outcomes and reducing child mortality rates, particularly in flood-prone regions. These findings emphasize the importance of holistic policies that address both environmental challenges and socioeconomic inequalities to safeguard maternal and infant health across the nation.

The association of state percent uninsured and the likelihood of low birth weight: evidence from the 2016-2019 Pregnancy Risk Assessment Monitoring System.

OBJECTIVE: To evaluate the association of state-level lack of health insurance among women of reproductive age with variation in state low birth weight (LBW) rates. STUDY DESIGN: This cross-section study analyzes data from the 2016-2019 Pregnancy Risk Assessment Monitoring Survey for respondents with singleton, live births. METHODS: Respondents were divided into groups by state-level percent of uninsured women aged 19-44 years. Poisson regression was used to model the association between state percent uninsured and likelihood of LBW, controlling for individual sociodemographic and clinical risk factors. Sensitivity analyses were done for Medicaid and non-Hispanic Black subpopulations and alternative state characteristics, including Gini coefficients, total and public welfare expenditures, and state reproductive rights rankings. RESULTS: In adjusted multiple regression analyses, compared to respondents from states with <7% uninsured, respondents from states with 7% or more uninsured had an increased risk of LBW status (7-8.99% uninsured: adjusted incidence rate ratio [aIRR] 1.11, 95% confidence interval [CI] 1.04-1.18; 9-11.99% uninsured: aIRR 1.09, 95% CI 1.02-1.17; >11.99% uninsured: aIRR 1.15, 95% CI 1.08-1.22). However, there was no evident dose-response gradient. Sensitivity analyses produced virtually identical findings for subpopulations, and no other state characteristics were significant. CONCLUSION: States with the highest level of insurance coverage had a significantly lower LBW rate than other states. However, there was little evidence for greater odds of LBW with the highest levels of uninsured. Individual risk factors dominated LBW models, while state differences in income inequality, reproductive health policy, and per capita spending explained little of the variance in LBW.

Costo-efectividad de la calidad del control prenatal con respecto al bajo peso al nacer en el Cauca / Antenatal control quality cost-effectiveness regarding low birth weight in Cauca

Antecedentes: El departamento del Cauca en Colombia es multiétnico, multicultural y biodiverso, también con grandes diferencias en bajo peso al nacer (BPN), mortalidad perinatal y mortalidad neonatal tardía entre municipios. Objetivo: Determinar la relación de costo-efectividad del control prenatal (CPN) cuando ha tenido buena calidad frente al que ha tenido calidad deficiente con respecto al BPN en el departamento del Cauca entre 2018 y 2020. Método: Evaluación económica con diseño epidemiológico de una cohorte histórica desde la perspectiva de la institución pagadora. Se calculó la razón incremental de costo-efectividad (RICE), análisis de sensibilidad e impacto presupuestal. Resultados: La incidencia de BPN fue del 8,3% (348/4182). La calidad deficiente en el CPN incrementó el riesgo de BPN (OR: 3,38; IC95%: 1,05-8,2) y la buena calidad tuvo una mejor relación de costo-efectividad (RICE: USD 2727,75), con posición dominante frente a la calidad deficiente (6,14 veces el PIB per cápita de ahorro) y con un impacto presupuestal de USD 2.904.392. Conclusiones: La buena calidad del CPN en el departamento del Cauca durante 2018-2020 fue costo-efectiva y dominante por ser de menor costo y mayor efectividad.

Background: The department of Cauca in Colombia is multiethnic, multicultural, and biodiverse, also with large differences in low birth weight (LBW), perinatal mortality, and late neonatal mortality among municipalities. Objective: To determine the cost-effectiveness relationship of antenatal care (ANC) when it has had good quality compared to that which has had poor quality with respect to low birth weight in the department of Cauca between 2018 and 2019. Method: Economic evaluation with epidemiological cohort design historical from the perspective of the payer institution. Incremental cost-effectiveness ratio (RICE), sensitivity analysis, and budgetary impact were calculated. Results: The incidence of LBW was 8.3% (348/4182). Poor quality in ANC increased the risk of LBW (OR: 3.38; CI95%: 1.05-8.2), good quality had a better cost-effectiveness ratio (RICE: USD 2727.75), with dominant position against poor quality (6.14 times the GDP/capita savings) with a budgetary impact of USD 2,904,392. Conclusions: The good quality of the ANC in the department of Cauca during 2018-2020 was cost-effective and dominant because it is lower cost and more effective.

XIII International Conference on Kangaroo Mother Care - Different opinions, experiences and related KMC issues: Good practices, stabilisation concept, nutrition and basic respiratory support.

AIM: This study aimed to summarise the views and experiences of the participants in the workshop of the XIII International Conference on Kangaroo Mother Care (KMC). METHODS: The results of the discussions held during the workshop of the XIII International Conference on KMC were summarised. There were 152 participants from 47 countries. Four main KMC topics were discussed: good practices, immediate implementation, nutrition and basic ventilation. RESULTS: Several agreements were reached, namely that professional societies and governments should develop official recommendations to promote KMC as standard care for preterm and low birth weight infants and that parents should be involved as active caregivers in neonatal care units. Moreover, the criteria for referring community-born infants to KMC require standardisation. Important inequalities in resource availability among high-, middle- and low-income countries were recognised for all topics. Specific needs were identified for parenteral nutrition and fortifiers, nasal continuous positive airway pressure (nCPAP) and oxygen blenders, which are rarely available in low- and middle-income countries. Immediate implementation of KMC was discussed as a new concept. Its benefits were recognised, but its application has some variability. CONCLUSION: Adequate preterm care requires a basic neonatal package, including KMC, nCPAP, immediate management protocols and adequate nutrition and feeding strategies. The differences in resources among high-, middle- and low-income countries highlight the wide disparities in neonatal care according to the place of birth.

Health professional assisted Kangaroo mother care practice in Ethiopian health care facilities: evidence from the 2016 Ethiopian demographic and health survey.

BACKGROUND: Worldwide, 15 million children born prematurely every year and over one million of them died because of prematurity caused complications. However, three-fourths of deaths from preterm related complications are preventable by using Kangaroo Mother Care (KMC). The Ethiopian government has been implementing a guideline that declares putting all low birth weight neonates at KMC. The aim of this study was to assess health professionals' assisted KMC practice and its associated factors among Ethiopian mothers who gave birth at health facilities. METHODOLOGY: This study used the 2016Ethiopian Demographic and Health Survey data (EDHS). The 2016EDHS used a stratified two stage sampling method to select a representative sample using validated questioner. The sample we used in this study after cleaning the children's data set from the 2016EDHS was 2,960. Logistic regression model was used to assess the association of health professional assisted KMC practice and predictor variables. RESULTS: Mothers who gave birth in health facilities and practiced kangaroo mother care were 1808(62.1%). In the multivariable logistic regression analysis, women from poorest (AOR, (95%CI)), (0.60, (0.43, 0.81)) and poorer (0.62, (0.46, 0.86)) socio-economic status were not practicing KMC. CONCLUSIONS: The coverage of health professional assisted KMC practice was far lower than the expectation for mothers who gave birth in health facilities (100%). Low socio-economic status was associated with not practicing KMC. A further study on why mothers from low wealth index did not practicing KMC while they were in health facilities may be needed.

Regional with urban-rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data.

BACKGROUND: Low birth weight is a key indicator for child health, especially a concern in low-middle-income countries. However, health and medically-related reforms are being actively implemented in some middle-income countries like India. Identifying low birth weight (LBW) babies with their determinants across the whole country is essential to formulate regional and area-specific interventions. The objective of this study was to find out the burden and determinants of LBW on the regional and residential (rural-urban) divisions of India. METHODS: The present study was based on the NFHS-5 dataset (2019-21), a nationally representative survey in India. A total of 209,223 births were included in this study. A newborn weighing less than 2500 g was considered as LBW. According to the objectives, we used frequency distribution, chi-square test and binary logistic regression analysis for analysing the data. RESULTS: About 18.24% of the babies were LBW in India, significantly higher in rural areas than in urban areas (18.58% vs 17.36%). Regionally prevalence was more frequent in western (20.63%) and central (20.16%) rural areas. Regarding maternal concerns, in the eastern and southern regions of India, mothers aged 25-34 were less likely to have LBW children than mothers aged 35-49 years. It was found that the risk of LBW was more likely among the children born out of unintended pregnancies in almost all regions except for eastern part. In rural India, women who delivered children at home were more likely to have LBW children in India (AOR = 1.19, CI: 1.12-1.28, p < 0.001) and its central, northern, and southern regions than those who gave birth in institutions. The study indicates that LBW coexists with lower maternal education levels and poor household wealth index across all regions. About 58% and 57% of cumulative effects of independent variables on LBW can be distinguished in urban and rural India, respectively. CONCLUSIONS: Targeted-specific strategies need to be undertaken as per region and geographical variations. Then only India should be able to decline LBW as proposed by National Health Policy.

Intersectional inequities in the birthweight gap between twin and singleton births: A random effects MAIHDA analysis of 2012-2018 New York City birth data.

Birthweight is a widely-used biomarker of infant health, with inequities patterned intersectionally by maternal age, race/ethnicity, nativity/immigration status, and socioeconomic status in the United States. However, studies of birthweight inequities almost exclusively focus on singleton births, neglecting high-risk twin births. We address this gap using a large sample (N = 753,180) of birth records, obtained from the 2012-2018 New York City (NYC) Department of Health and Mental Hygiene, Bureau of Vital Statistics, representing 99% of all births registered in NYC, and a novel random coefficients intersectional MAIHDA (Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy) model. Our results show evidence of intersectional inequities in birthweight outcomes for both twin and singleton births by maternal age, race/ethnicity, education, and nativity status. Twins have considerably lower predicted birthweights than singletons overall (-930 g on average), and this is especially true for babies born to mothers who are younger (11-19 years), older (40+), racial/ethnic minoritized, foreign-born, and have lower education. However, the magnitude of this birthweight 'gap' between twins and singletons varies considerably across social identity strata, ranging between 830.8 g (observed among 40+ year old Black foreign-born mothers with high school degrees) and 1013.7 g (observed among 30-39 year old Hispanic/Latina foreign-born mothers with less than high school degrees). This study underscored the needs of a high-risk population and the need for aggressive social policies to address health inequities and dismantle intersectional systems of marginalization, oppression, and socioeconomic inequality. In addition to our substantive contributions, we add to the growing methods literature on intersectional quantitative analysis by demonstrating how to apply intersectional MAIHDA with random coefficients and random slopes. We conclude with a discussion of the significant potential for this methodological extension in future research on inequities.

Evaluation of Assisted Reproductive Technology Health Insurance Coverage for Multiple Pregnancies and Births in Korea.

Importance: While various policies to support couples experiencing infertility have been introduced due to the fertility rate rapidly dropping in developed countries, few large-scale nationwide cohort studies have evaluated the outcomes of assisted reproductive technology (ART) health insurance coverage policies. Objective: To evaluate ART health insurance coverage for multiple pregnancies and births in Korea. Design, Setting, and Participants: This population-based cohort study used delivery cohort data from the Korean National Health Insurance Service database between July 1, 2015, and December 31, 2019. A total of 1 474 484 women were included after exclusion of those who gave birth at nonmedical institutions and those with missing data. Exposure: Two 27-month periods were examined before and after the Korean National Health Insurance Service had begun covering ART treatment (preintervention period, July 1, 2015, to September 30, 2017; postintervention period, October 1, 2017, to December 31, 2019). Main Outcomes and Measures: Multiple pregnancies and multiple births were identified by International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis codes. Total births were defined as the total number of babies born to each pregnant woman during the follow-up period. An interrupted time series with segmented regression was conducted to analyze the time trend and its change in outcomes. Data analysis was conducted between December 2, 2022, and February 15, 2023. Results: Of the 1 474 484 women eligible for the analysis (mean [SD] age, 33.2 [4.6] years), approximately 1.60% had multiple pregnancies and 1.10% had multiple births. After covering ART treatment, the likelihood of multiple pregnancies and multiple births was estimated to increase by 0.7% (estimate, 1.007; 95% CI, 1.004-1.011; P < .001) and 1.2% (estimate, 1.012; 95% CI, 1.007-1.016; P < .001) compared with before coverage. The probability of an increase in the number of total births per pregnant woman after the intervention was estimated to be 0.5% (estimate, 1.005; 95% CI, 1.005-1.005; P < .001). The relatively high-income class above the median income showed a decreasing trend in multiple births and total births before the intervention, but after the intervention, a significant increase was observed. Conclusions and Relevance: This population-based cohort study found that the possibility of multiple pregnancies and births in Korea significantly increased after the implementation of an ART health insurance coverage policy. These findings suggest that the development and coverage of policies to support couples experiencing infertility may help address low fertility rates.

Evolución del parto por cesárea en la provincia del Neuquén, 2000-2020 / Caesarean section rate evolution in Neuquén province, 2000 to 2020

RESUMEN INTRODUCCIÓN: El nacimiento por cesárea se encuentra en aumento en todo el mundo, con diferencias significativas entre regiones. El objetivo fue determinar la situación del porcentaje de cesárea en mujeres con parto en la provincia del Neuquén en 2000-2020, buscando diferencias entre subsectores, zonas sanitarias, localidades e instituciones de salud . MÉTODOS: Se analizaron las estadísticas del Sistema Informático Perinatal referentes a vía de parto, recién nacidos y mujeres con partos entre 2000 y 2020. Se realizó un análisis estratificado del porcentaje de cesáreas, describiendo medidas de tendencia central, de dispersión y velocidad promedio de incremento anual . RESULTADOS: Las características sociodemográficas de madres gestantes se han modificado, con un descenso del embarazo adolescente y un aumento de madres de más de 35 años. Se observó un mayor porcentaje de bajo peso al nacer en el subsector privado y una importante disminución de la tasa bruta de natalidad, con mayor descenso en el interior provincial. Se encontró un aumento sostenido, así como diferencias crecientes y muy significativas entre subsectores (y dentro de estos entre las distintas instituciones) . DISCUSIÓN: Existen diferencias muy significativas en los resultados si se comparan los diferentes subsectores e instituciones respecto al nacimiento por cesárea. Estos resultados son un aporte para la construcción de políticas acordes a la realidad epidemiológica de la provincia y de cada institución de salud.

ABSTRACT INTRODUCTION: Cesarean delivery is increasing all over the world, with significant differences between regions. The aim was to determine the cesarean section rate in women giving birth between 2000 and 2020 in Neuquén province, seeking for differences between sub-sectors, health zones, cities and health institutions . METHODS: Statistics from the Perinatal Information System were analyzed regarding type of delivery, newborns and women delivering between 2000 and 2020. A stratified analysis of the cesarean section rate was conducted, describing central tendency and dispersion measures, and the average annual rate of increase . RESULTS: Maternal sociodemographic characteristics have changed, with adolescent pregnancy decrease and a higher number of mothers older than 35 years of age. The percentage of low birth weight was higher in the private sub-sector, with a significant decrease of gross birth rate, mainly inside the province. There was a steady increase as well as growing and very significant differences between sub-sectors (and within them between the different institutions) . DISCUSSION: The results show very significant differences when comparing sub-sectors and institutions regarding cesarean birth, and contribute to building policies tailored to the epidemiological situation of the province and each health institution.