Early Neonatal Mortality and Predictors in Newborns Admitted to the Neonatal Intensive Care Unit at Public Hospitals in Hadiya Zone, Central Ethiopia: A Retrospective Cohort Study.

Background. Despite numerous life-saving measures, neonatal mortality remains high. This research aims to investigate the incidence and predictors of early neonatal mortality among newborns admitted to intensive care units in public hospitals in Hadiya Zone, Ethiopia. Methods. A retrospective cohort study was conducted on 689 neonates admitted to the neonatal intensive care unit. Cox proportional hazard regression by STATA was used. Results. This study followed for 3439 person-days found an incidence rate of 16.9 deaths per 1000 person-days. Birth weight [AHR = 4.4, 95% CI; 1.29, 14.94], APGAR score at the fifth minute 4 to 6 [AHR = 0.42, 95% CI; 0.2, 0.87], hypoglycemia [AHR = 8.1, 95% CI; 2.17, 30.43], no treated with oxygen [AHR = 2.6, 95% CI; 1.1, 5.9], and obstetric complications [AHR = 0.41, 95% CI; 0.18, 0.93] predicted early neonatal mortality. Conclusion. The study revealed a high neonatal mortality rate, necessitating increased focus on oxygen treatment for newborns and improved early diagnosis and treatment of obstetric complications.

Placental and umbilical cord anomalies detected by ultrasound as clinical risk factors of adverse perinatal outcome: Case series review of selected conditions. Part 1: Placental abnormalities.

BACKGROUND: The aim of this extended review of multicenter case series is to describe the prenatal ultrasound features and pathogenetic mechanisms underlying placental and umbilical cord anomalies and their relationship with adverse perinatal outcome. From an educational point of view, the case series has been divided in three parts; Part 1 is dedicated to placental abnormalities. METHODS: Multicenter case series of women undergoing routine and extended prenatal ultrasound and perinatal obstetric care. RESULTS: Prenatal ultrasound findings, perinatal care, and pathology documentation in cases of placental pathology are presented. CONCLUSIONS: Our case series review and that of the medical literature confirms the ethiopathogenetic role and involvement of placenta abnormalities in a wide variety of obstetrics diseases that may jeopardize the fetal well-being. Some of these specific pathologies are strongly associated with a high risk of poor perinatal outcome.

Effects of Maternal Anemia Affecting Fetal Outcomes: A Narrative Review.

This review's main objective was to assess the obstacles to anemia prevention, as well as the attitudes and behaviors of anemic women toward their condition. Since iron is crucial for neurodevelopment, iron deficiency anemia (IDA) accounts for the majority of pregnant mothers having anemia. In India and other developing countries, anemia is a serious health problem. More than half of pregnant women have anemia. The search strategy was conducted in PubMed. Few of the articles were searched without using MeSH terms. Strong correlations between mothers' anemia and that of their offspring point to intergenerational anemia with lasting consequences. Children who were underweight at birth and those who were malnourished had a higher risk of having anemia. Clinicians usually evaluate anemia, and the criteria for determining the cause of anemia are outlined in this brief review.

Neonatal Adverse Outcomes among Hospital Livebirths in Canada: A National Retrospective Study.

INTRODUCTION: In Canada, newborn morbidity far surpasses mortality. The neonatal adverse outcome indicator (NAOI) summarizes neonatal morbidity, but Canadian trend data are lacking. METHODS: This Canada-wide retrospective cross-sectional study included hospital livebirths between 24 and 42 weeks' gestation, from 2013 to 2022. Data were obtained from the Canadian Institute of Health Information's Discharge Abstract Database, excluding Quebec. The NAOI included 15 newborn complications (e.g., birth trauma, intraventricular hemorrhage, or respiratory failure) and seven interventions (e.g., resuscitation by intubation and/or chest compressions), adapted from Australia's NAOI. Rates of NAOI were calculated by gestational age. Unadjusted rate ratios (RR) and 95% confidence interval (CI) were calculated for neonatal mortality, neonatal intensive care unit (NICU) admission, and extended hospital stay, each in relation to the number of NAOI components present (0, 1, 2, 3, 4, or ≥5). RESULTS: Among 2,821,671 newborns, the NAOI rate was 7.6%. NAOI increased from 7.3% in 2013 to 8.0% in 2022 (p < 0.01). NAOI prevalence was highest in the most preterm infants. Compared to no NAOI, RRs (95% CI) for mortality were 8.5 (7.6-9.5) with 1, 118.1 (108.4-128.4) with 3, and 395.3 (367.2-425.0) with ≥5 NAOI components. Respective RRs for NICU admission were 6.7 (6.6-6.7), 11.2 (10.9-11.3), and 11.9 (11.6-12.2), and RR for extended hospital stay were 6.6 (6.4-6.7), 12.2 (11.7-12.7), and 26.4 (25.2-27.5). International comparison suggested that Canada had a higher prevalence of NAOI. CONCLUSION: The Canadian NAOI captures neonatal morbidity using hospitalization data and is associated with neonatal mortality, NICU admission, and extended hospital stay. Newborn morbidity may be on the rise in recent years.

Endoparasitic Diseases in Breeding Kennels: A Frequent and Complex Problem Requiring a Holistic Approach.

Parasitic infestations in dogs are frequent, particularly in breeding kennels, being a cause of suffering in animals and economic loss for breeders. In breeding bitches, some parasites may cause abortion, and in puppies they may be responsible for neonatal mortality, weaning diarrhea, or neurological clinical signs. This review aims to investigate the factors of predisposition, diagnostics, and control in relation to the most frequent parasitic diseases in breeding kennels. It highlights that the control of parasitic diseases in dogs at the population level is complex. A holistic multidisciplinary and pluritechnical approach is thus needed to deal with endoparasitoses.

Early neonatal mortality and determinants in Ethiopia: multilevel analysis of Ethiopian demographic and health survey, 2019.

INTRODUCTION: Despite remarkable achievements in improving maternal and child health, early neonatal deaths still persist, with a sluggish decline in Ethiopia. As a pressing public health issue, it requires frequent and current studies to make appropriate interventions. Therefore, by using the most recent Ethiopian Mini Demographic Health Survey Data of 2019, we aimed to assess the magnitude and factors associated with early neonatal mortality in Ethiopia. METHODS: Secondary data analysis was conducted based on the demographic and health survey data conducted in Ethiopia in 2019. A total weighted sample of 5,753 live births was included for this study. A multilevel logistic regression model was used to identify the determinants of early neonatal mortality. The adjusted odds ratio at 95% Cl was computed to assess the strength and significance of the association between explanatory and outcome variables. Factors with a p-value of < 0.05 are declared statistically significant. RESULTS: The prevalence of early neonatal mortality in Ethiopia was 26.5 (95% Cl; 22.5-31.08) per 1000 live births. Maternal age 20-35 (AOR, 0.38; 95% Cl, 0.38-0.69), richer wealth index (AOR, 0.47; 95% Cl, 0.23-0.96), having no antenatal care visit (AOR, 1.86; 95% Cl, 1.05-3.30), first birth order (AOR, 3.41; 95% Cl, 1.54-7.56), multiple pregnancy (AOR, 18.5; 95% Cl 8.8-38.9), presence of less than two number of under-five children (AOR, 5.83; 95% Cl, 1.71-19.79) and Somali region (AOR, 3.49; 95% Cl, 1.70-12.52) were significantly associated with early neonatal mortality. CONCLUSION: This study showed that, in comparison to other developing nations, the nation had a higher rate of early newborn mortality. Thus, programmers and policymakers should adjust their designs and policies in accordance with the needs of newborns and children's health. The Somali region, extreme maternal age, and ANC utilization among expectant moms should all be given special consideration.

Early neonatal mortality in Ethiopia from 2000 to 2019: an analysis of trends and a multivariate decomposition analysis of Ethiopian demographic and health survey.

BACKGROUND: Early neonatal deaths, occurring within the first six days of life, remain a critical public health challenge. Understanding the trends and factors associated with this issue is crucial for designing effective interventions and achieving global health goals. This study aims to examine the trends in early neonatal mortality in Ethiopia and identify the key factors associated with changes in early neonatal mortality over time. METHODS: This study utilized five consecutive Ethiopian Demographic and Health Survey datasets from 2000 to 2019. To investigate the trends and identify factors influencing changes in early neonatal mortality over time, conducted a trend analysis and a logit-based multivariate decomposition analysis. Data management and analyses were performed using STATA version 17/MP software. All analyses were weighted to account for sampling probabilities and non-response. Statistical significance was determined at a two-sided p-value threshold of less than 0.05. RESULT: The analysis included a total of 12,260 weighted women from the 2000 survey and 5,527 weighted women from the 2019 survey. Over the study period, there was an overall downward trend in early neonatal mortality, decreasing from 34 deaths per 1000 live births in 2000 to 27 deaths per 1000 live births in 2019. The annual rate of reduction was estimated to be 1.03%. Approximately 45% of the observed decline in early neonatal mortality rate can be attributed to changes in population characteristics or endowments (E) during the study period. Factors such as the mother's age, maternal education, marital status, preceding birth interval, types of pregnancy, and the sex of the child significantly contributed to the compositional change in the early neonatal mortality rate. CONCLUSION: Over the past two decades, Ethiopia has seen a modest decline in early neonatal mortality, but this progress falls short of the Sustainable Development Goal (SDGs) targets. To achieve the SDGs, the Ministry of Health and its partners should intensify efforts to reduce early neonatal mortality. Strategies like preventing early/late pregnancies, promoting appropriate marriage timing, and prioritizing education could help further reduce early neonatal deaths. Further research is also needed to explore the factors driving this issue.

Development and validation of a prognosis risk score model for neonatal mortality in the Amhara region, Ethiopia. A prospective cohort study.

BACKGROUND: A neonatal mortality prediction score can assist clinicians in making timely clinical decisions to save neonates' lives by facilitating earlier admissions where needed. It can also help reduce unnecessary admissions. OBJECTIVE: The study aimed to develop and validate a prognosis risk score for neonatal mortality within 28 days in public hospitals in the Amhara region, Ethiopia. METHODS: The model was developed using a validated neonatal near miss assessment scale and a prospective cohort of 365 near-miss neonates in six hospitals between July 2021 and January 2022. The model's accuracy was assessed using the area under the receiver operating characteristics curve, calibration belt, and the optimism statistic. Internal validation was performed using a 500-repeat bootstrapping technique. Decision curve analysis was used to evaluate the model's clinical utility. RESULTS: In total, 63 of the 365 neonates died, giving a neonatal mortality rate of 17.3% (95% CI: 13.7-21.5). Six potential predictors were identified and included in the model: anemia during pregnancy, pregnancy-induced hypertension, gestational age less than 37 weeks, birth asphyxia, 5 min Apgar score less than 7, and birth weight less than 2500 g. The model's AUC was 84.5% (95% CI: 78.8-90.2). The model's predictive ability while accounting for overfitting via internal validity was 82%. The decision curve analysis showed higher clinical utility performance. CONCLUSION: The neonatal mortality predictive score could aid in early detection, clinical decision-making, and, most importantly, timely interventions for high-risk neonates, ultimately saving lives in Ethiopia.

Main findings: This prognosis risk score for neonatal mortality tested in Ethiopia had high performance accuracy and the decision curve analysis showed increased clinical utility performance.Added knowledge: The tool developed here can aid healthcare providers in identifying high-risk neonates and making timely clinical decisions to save lives.Global health impact for policy and action: The findings have the potential to be applied in local contexts to identify high-risk neonates and make treatment decisions that could improve child survival rates.

The Impact of Gestational Diabetes Mellitus (GDM) on the Development and Composition of the Neonatal Gut Microbiota: A Systematic Review.

Gestational diabetes mellitus (GDM) is an important health issue, as it is connected with adverse effects to the mother as well as the fetus. A factor of essence for the pathology of this disorder is the gut microbiota, which seems to have an impact on the development and course of GDM. The role of the gut microbiota on maternal reproductive health and all the changes that happen during pregnancy as well as during the neonatal period is of high interest. The correct establishment and maturation of the gut microbiota is of high importance for the development of basic biological systems. The aim of this study is to provide a systematic review of the literature on the effect of GDM on the gut microbiota of neonates, as well as possible links to morbidity and mortality of neonates born to mothers with GDM. Systematic research took place in databases including PubMed and Scopus until June 2024. Data that involved demographics, methodology, and changes to the microbiota were derived and divided based on patients with exposure to or with GDM. The research conducted on online databases revealed 316 studies, of which only 16 met all the criteria and were included in this review. Research from the studies showed great heterogeneity and varying findings at the level of changes in α and ß diversity and enrichment or depletion in phylum, gene, species, and operational taxonomic units in the neonatal gut microbiota of infants born to mothers with GDM. The ways in which the microbiota of neonates and infants are altered due to GDM remain largely unclear and require further investigation. Future studies are needed to explore and clarify these mechanisms.

Clinical profiles, incidence and predictors of early neonatal mortality at Mbarara Regional Referral Hospital, south-western Uganda.

BACKGROUND: The current neonatal mortality rate in Uganda is high at 22 deaths per 1000 live births, while it had been stagnant at 27 deaths per 1000 live births in the past decade. This is still more than double the World Health Organization target of < 12 deaths per 1,000 live births. Three-quarters of new born deaths occur within the first week of life, which is a very vulnerable period and the causes reflect the quality of obstetric and neonatal care. At Mbarara Regional Referral Hospital (MRRH), the modifiable contributors and predictors of mortality remain undocumented, yet neonates make the bulk of admissions and contribute significantly to the overall infant mortality rate. We therefore examined the clinical profiles, incidence and predictors of early neonatal mortality of neonates admitted at MRRH in south-western Uganda. METHODS: We conducted a prospective cohort study at the Neonatal Unit of MRRH between August - November, 2022 among neonates. We consecutively included all live neonates aged < 7 days admitted to neonatal unit and excluded those whose outcomes could not be ascertained at day 7 of life. We obtained baseline data including; maternal social-demographic and obstetric information, and performed neonatal physical examinations for clinical profiles. We followed up neonates at 24 and 72 h of life, and at 7 days of life for mortality. We summarized the clinical profiles and incidence of mortality as frequencies and percentages and performed modified Poisson regression analysis to identify the predictors of early neonatal mortality. RESULTS: We enrolled 384 neonates. The majority of neonates were in-born (68.5%, n = 263) and were admitted within 24 h after birth (54.7%, n = 210). The most common clinical profiles at admission were prematurity (46%, n = 178), low birth weight (LBW) (44%, n = 170), sepsis (36%, n = 139), hypothermia (35%, n = 133), and birth asphyxia (32%, n = 124). The incidence of early neonatal mortality was at 12.0%, 46 out of the 384 neonates died. The predictors of early neonatal mortality were hypothermia, [adjusted Risk Ratio: 4.10; 95% C.I (1.15-14.56)], birth asphyxia, [adjusted Risk Ratio: 3.6; 95% C.I (1.23-10.73)] and delayed initiation of breastfeeding, [adjusted Risk Ratio: 7.20; 95% C.I (1.01-51.30)]. CONCLUSION: Prematurity, LBW, sepsis, birth asphyxia and hypothermia are the commonest admission diagnoses. The incidence of early neonatal mortality was high, 12.0%. We recommend targeted interventions by the clinical care team at MRRH to enable timely identification of neonates with or at risk of hypothermia to reduce incidence of adverse outcomes. Intrapartum care should be improved in order to mitigate the risk of birth asphyxia. Breastfeeding within the first hour of birth should be strengthened were possible, as this is associated with vast benefits for the baby and may reduce the incidence of complications like hypothermia.

Analysis of Risk Determinants of Neonatal Mortality in the Last Decade: A Systematic Literature Review (2013-2023).

This study aimed to analyze the determinants of neonatal mortality over the last decade (2013-2023), identifying key factors that have influenced neonatal outcomes both before and during the COVID-19 pandemic. Utilizing a systematic literature review approach guided by the PRISMA method, this study evaluates 91 papers collected from indexed databases such as Scopus, PubMed, and Web of Science. The review encompasses studies conducted globally, offering insights into the evolution of neonatal mortality research and the impact of the COVID-19 crisis on neonatal health. The analysis revealed a complex array of risk determinants, categorized into socioeconomic factors, clinical factors, and healthcare access and quality. Notable factors include rural versus urban healthcare disparities, prenatal and postnatal care quality, and the influence of healthcare infrastructure on neonatal outcomes. This study highlights the shifting focus of neonatal mortality research in response to global health challenges, including the pandemic. The findings underscore the need for multidisciplinary approaches to address neonatal mortality, emphasizing the importance of enhancing healthcare systems, improving maternal education, and ensuring equitable access to quality care. Future research should explore the long-term effects of the COVID-19 pandemic on neonatal health and investigate the efficacy of interventions in diverse healthcare settings.

Trends and inequalities in neonatal mortality rate in Bangladesh: Evidence from cross-sectional surveys.

Background and Aims: Given the significance of addressing neonatal mortality in pursuing the 2030 Sustainable Development Goal on child health, research focus on this area is crucial. Despite the persistent high rates of neonatal mortality rate (NMR) in Bangladesh, there remains a notable lack of robust evidence addressing inequalities in NMR in the country. Therefore, this study aims to fill the knowledge gap by comprehensively investigating inequalities in NMR in Bangladesh. Methods: The Bangladesh Demographic and Health Survey (BDHS) data from 2000 to 2017 were analyzed. The equity stratifiers used to measure the inequalities were wealth status, mother's education, place of residence, and subnational region. Difference (D) and population attributable fraction (PAF) were absolute measures, whereas population attributable risk (PAR) and ratio (R) were relative measures of inequality. Statistical significance was considered by estimating 95% confidence intervals (CIs) for each estimate. Results: A declining trend in NMR was found in Bangladesh, from 50.2 in 2000 to 31.9 deaths per 1000 live births in 2017. This study detected significant wealth-driven (PAF: -20.6, 95% CI: -24.9, -16.3; PAR: -6.6, 95% CI: -7.9, -5.2), education-related (PAF: -11.6, 95% CI: -13.4, -9.7; PAR: -3.7, 95% CI: -4.3, -3.1), and regional (PAF: -20.6, 95% CI: -27.0, -14.3; PAR: -6.6, 95% CI: -8.6, -4.6) disparities in NMR in all survey points. We also found a significant urban-rural inequality from 2000 to 2014, except in 2017. Both absolute and relative inequalities in NMR were observed; however, these inequalities decreased over time. Conclusion: Significant variations in NMR across subgroups in Bangladesh highlight the need for comprehensive, and targeted interventions. Empowering women through improved access to economic resources and education may help address disparities in NMR in Bangladesh. Future research and policies should focus on developing strategies to address these disparities and promote equitable health outcomes for all newborns.

The case of the neonate vs. LMIC medical academia-a jury-style systematic review of 32†years of literature without significant mortality reduction.

Introduction: The high neonatal mortality rate in low- and middle-income countries (LMICs) such as Nigeria has lasted for more than 30 years to date with associated nursing fatigue. Despite prominent hard work, technological improvements, and many publications released from the country since 1990, the problem has persisted, perhaps due to a lack of intervention scale-up. Could there be neglected discoveries unwittingly abandoned by Nigerian policymakers over the years, perhaps locked up in previous publications? A careful review may reveal these insights to alert policymakers, inspire researchers, and refocus in-country research efforts towards impactful directions for improving neonatal survival rates. The focus was to determine the prevailed effectiveness of LMIC medical academia in creating solutions to end the high neonatal mortality rate. Methods: An unconventional systematic review protocol structure following the PRISMA 2020 checklist was designed and registered at INPLASY (registration number: INPLASY202380096, doi: 10.37766/inplasy2023.8.0096). A jury of paediatricians was assembled and observed by a team of legal professionals. The jury searched the literature from 1990 to the end of 2022, extracted newborn-related articles about Nigeria, and assessed and debated them against expected criteria for solution creation, translation, scale-up, sustainability, and national coverage. Each juror used preset criteria to produce a verdict on the possibility of a published novel idea being a potential game-changer for improving the survival rate of Nigerian neonates. Results: A summation of the results showed that 19 out of 4,286 publications were assessed to possess potential strategies or interventions to reduce neonatal mortality. Fourteen were fully developed but not appropriately scaled up across the country, hence denying neonates proper access to these interventions. Conclusion: Nigeria may already have the required game-changing ideas to strategically scale up across the nation to accelerate neonatal survival. Therefore, LMIC healthcare systems may have to look inward to strengthen what they already possess. Systematic Review Registration: https://inplasy.com/, identifier (INPLASY202380096).

Impact of intrapartum quality improvement interventions on stillbirths and other adverse pregnancy outcomes: A protocol for systematic review and meta-analysis.

BACKGROUND: Stillbirths are a major global health concern. Half of stillbirths occur during intrapartum period, mostly in low- and middle-income countries of sub-Saharan Africa and South Asia. Achieving a stillbirth rate of less than 12 per 1000 births by 2030 is the global target of Every Newborn Action Plan and Sustainable Development Goals. Evidence suggests that improving intrapartum quality of care can help reduce stillbirths and other adverse pregnancy outcomes. This study will explore whether quality improvement (QI) packages at intrapartum care points can reduce stillbirths and other outcomes such as maternal and neonatal mortality. METHODS: We will conduct a systematic literature review and meta-analysis. Comprehensive search strategy will be developed for databases PubMed, Web of Science, ScienceDirect, ProQuest, Cochrane and China National Knowledge Infrastructure. We will include randomized controlled trials, controlled non-randomized trials, controlled clinical trials, interrupted time series, cohort studies, case-control and nested case-control studies which assess the impact of QI interventions at intrapartum points of care on stillbirths and other adverse pregnancy outcomes. We will search grey literature such as unpublished research studies, dissertations and unfinished trials. English and non-English language articles will be included to avoid language bias. We will also evaluate reporting quality and risk of bias. Sensitivity tests will be carried out for heterogeneity. Pooled estimates of effect sizes will be computed with random-effects models. Supplementation of the quantitative synthesis with a qualitative narrative synthesis would be added, if deemed necessary. We will explore publication bias using funnel plot and Egger's regression test will be used for evaluation, if needed. DISCUSSION: We will report pooled effectiveness of different intrapartum QI interventions across multiple settings in averting stillbirths and other adverse outcomes such as maternal mortality and neonatal mortality.

Frequency and Risk Factors Associated with Prematurity: A Cohort Study in a Neonatal Intensive Care Unit.

Background/Objectives: Prematurity rates remain high and represent a challenge for the public health systems of any country, with a high impact on neonatal mortality. This study aimed to evaluate the frequency and environmental and maternal-fetal risk factors for premature birth in a cohort of parturient women, with their newborns monitored in a neonatal intensive care unit at a private reference hospital. Methods: A cohort was carried out between 2013 and 2018 among parturient women living in a capital city in the Northeast of Brazil whose newborns were admitted to the neonatal intensive care unit. This study was approved by the Research Ethics Committee of the University of Fortaleza. The information collected comprised data from both medical records and hydrosanitary data from maternal homes. Results: The prevalence of prematurity among live births (n = 9778) between 2013 and 2018 at this hospital was 23%. The frequency of prematurity among those eligible (n = 480) was 76.9%, and the frequency of eligible premature babies (n = 369) in relation to the total number of births in this period was 3.8%. In the multivariate analysis, the significant risk factors for prematurity were primigravida (RR = 1.104, 95%CI: 1.004-1.213) and hypertensive syndromes during pregnancy (RR = 1.262, 95%CI: 1.161-1.371), and the significant protective factor was the highest number of prenatal consultations (RR = 0.924, 95%CI: 0.901-0.947). Conclusions: This study contributes to providing greater visibility to prenatal care and the understanding of complications during pregnancy and childbirth care. These results indicate the need to implement public policies that promote improvements in the population's living conditions and care for pregnant women to reduce premature births and, consequently, neonatal and infant mortality.

Increasing the number of midwives is necessary but not sufficient: using global data to support the case for investment in both midwife availability and the enabling work environment in low- and middle-income countries.

BACKGROUND: Most countries are off-track to achieve global maternal and newborn health goals. Global stakeholders agree that investment in midwifery is an important element of the solution. During a global shortage of health workers, strategic decisions must be made about how to configure services to achieve the best possible outcomes with the available resources. This paper aims to assess the relationship between the strength of low- and middle-income countries' (LMICs') midwifery profession and key maternal and newborn health outcomes, and thus to prompt policy dialogue about service configuration. METHODS: Using the most recent available data from publicly available global databases for the period 2000-2020, we conducted an ecological study to examine the association between the number of midwives per 10,000 population and: (i) maternal mortality, (ii) neonatal mortality, and (iii) caesarean birth rate in LMICs. We developed a composite measure of the strength of the midwifery profession, and examined its relationship with maternal mortality. RESULTS: In LMICs (especially low-income countries), higher availability of midwives is associated with lower maternal and neonatal mortality. In upper-middle-income countries, higher availability of midwives is associated with caesarean birth rates close to 10-15%. However, some countries achieved good outcomes without increasing midwife availability, and some have increased midwife availability and not achieved good outcomes. Similarly, while stronger midwifery service structures are associated with greater reductions in maternal mortality, this is not true in every country. CONCLUSIONS: A complex web of health system factors and social determinants contribute to maternal and newborn health outcomes, but there is enough evidence from this and other studies to indicate that midwives can be a highly cost-effective element of national strategies to improve these outcomes.

Community health promotion and medical provision and impact on neonates (CHAMPION2) and support to rural India's public education system and impact on numeracy and literacy scores (STRIPES2): an update to the study protocol (v 11) for a cluster randomised trial in Madhya Pradesh, India.

BACKGROUND: This update outlines amendments to the CHAMPION2/STRIPES2 cluster randomised trial protocol primarily made due to the COVID-19 pandemic and nationwide lockdown in India in 2020. These amendments were in line with national guidelines for health research during the COVID-19 pandemic. METHODS: We did not change the original trial design, eligibility, and outcomes. Amendments were introduced to minimise the risk of COVID-19 transmission and ensure safety and wellbeing of trial staff, participants, and other villagers. CHAMPION2 intervention: participatory learning and action (PLA) and fixed day service (FDS) meeting were revised to incorporate social distancing and hygiene precautions. During the COVID-19 pandemic, PLA participation was limited to pregnant women and birthing partners. STRIPES2 intervention: before/after-school classes were halted for a period and then modified temporarily (reducing class sizes, and/or changing meeting places) with hygiene and safe distancing practices introduced. DATA COLLECTION: The research team gathered as much information as possible from participants by telephone. If the participant had no telephone or could not be contacted by telephone, data were collected in person. COVID-19 precautions: trial teams were trained on COVID-19 precautions and used personal protective equipment whilst in the villages for trial-related activities. After restarting the trial between June and September 2020 in a phased manner, some trial activities were suspended again in all the trial villages from April to June 2021 due to the second wave of COVID-19 cases and lockdown imposed in Satna, Madhya Pradesh. Trial timelines were also revised, with outcomes measured later than originally planned. TRIAL REGISTRATION: Clinical Trial Registry of India CTRI/2019/05/019296. Registered 23 May 2019. https://ctri.nic.in/Clinicaltrials/pmaindet2.php?EncHid=MzExOTg=&Enc=&userName=champion2 .

Mortality of neonates born to mothers of extreme reproductive age in Ethiopia; multilevel mixed effect analysis of Ethiopian demographic and health survey data of 2016.

Introduction: Neonatal mortality is still a major public health problem in middle- and low-income countries like Ethiopia. Despite strategies and efforts made to reduce neonatal death, the mortality rate declines at a slower pace in the country. Though there are studies conducted on neonatal mortality and its determinants, our searches of the literature have found no study on the extent of mortality of neonates born to mothers of extreme reproductive age in the study area. Therefore, this study aimed to assess the magnitude and factors associated with the mortality of neonates born to mothers of extreme reproductive age in Ethiopia. Methods: Secondary data analysis was conducted using 2016 Ethiopian Demographic and Health Survey data. The final study contained an overall weighted sample of 2,269 live births. To determine the significant factors in newborn deaths, a multilevel binary logistic regression was fitted. For measuring the clustering impact, the intra-cluster correlation coefficient, median odds ratio, proportional change in variance, and deviation were employed for model comparison. The adjusted odds ratio with a 95% confidence interval was presented in the multivariable multilevel logistic regression analysis to identify statistically significant factors in neonatal mortality. A P-value of less than 0.05 was declared statistically significant. Results: The neonatal mortality rate of babies born to extreme aged reproductive women in Ethiopia was 34 (95% Cl, 22.2%-42.23%) per 1,000 live birth. Being twin pregnancy (AOR = 10; 95% Cl: 8.61-20.21), being from pastoralist region (AOR = 3.9; 95% Cl: 1.71-8.09), having larger baby size (AOR = 2.93; 95% Cl: 1.4-9.12) increase the odds of neonatal mortality. On the other hand, individual level media exposure (AOR = 0.3; 95% Cl: 0.09-0.91) and community level media exposure (AOR = 0.24; 95% Cl: 0.07-0.83), being term gestation (AOR = 0.14; 95% Cl: 0.01-0.81) decreases the odds of neonatal mortality born to mothers of extreme reproductive age. Conclusion: Ethiopia had a greater rate of neonatal death among babies born at the extremes of reproductive age than overall reproductive life. Multiple pregnancies, larger baby sizes, emerging regions, term gestation, and media exposure were found to be significant factors associated with the mortality of neonates born to mothers of extreme reproductive age. Therefore, the concerned bodies should give emphasis to mothers giving birth before the age of 20 and above 35, access to media, healthy pregnancy, and special attention to pastoralists to reduce the burden of neonatal mortality.

An Audit of Mortality Pattern in the Neonatology Unit of the University of Uyo Teaching Hospital, Uyo, Nigeria: A Seven-Year Review.

Background: Most neonatal deaths occur in low and middle-income countries (LMICs). These deaths can be prevented through universal access to basic high-quality in-patient health services. Prematurity, neonatal sepsis, and perinatal asphyxia have been reported as the leading causes of in-patient neonatal deaths. This study aimed to assess the trend of neonatal mortality in our hospital, determine the pattern and causes of neonatal mortality, and evaluate the factors associated with neonatal mortality in our facility. Methodology: This was a retrospective cross-sectional descriptive study conducted in the Special Care Babies Unit (SCBU) and Sick Babies Unit (SBU) of the University of Uyo Teaching Hospital, over seven years (2015-2021). Demographic, clinical, and mortality data was extracted from the case record files of patients into a structured proforma and analysed. Results: There was a total of 228 deaths comprising 130 males (57.02%) and 98 (42.98%) females. The median age at demise was 4.00 (IQR = 1.00 - 12.00) days for both genders. The majority (71.50%) of deaths occurred in the Sick Babies Unit. More males died than females (57% vs 43%). The three leading causes of death were: prematurity (38.60%), neonatal sepsis (38.16%), and birth asphyxia (13.60%). Conclusion: The leading causes of neonatal mortality in our environment are prematurity and neonatal sepsis. There is a need for increased community education on antenatal care, training of traditional birth attendants, improved newborn transportation facilities, and provision of neonatal intensive care facilities.

Predictors of neonatal mortality among neonates admitted to NICU at Dubti General hospital, Northeast Ethiopia.

Background: In Ethiopia, despite various strategies and interventions being implemented, the rate of neonatal mortality remains high. Despite numerous published articles in Ethiopia, there is a lack of sufficient data regarding the time to death and its predictors in neonatal mortality, especially in pastoral communities like the Afar region. Therefore, this study aims to evaluate neonatal mortality and its predictors among neonates admitted to the neonatal intensive care unit at Dubti General Hospital, Northeast Ethiopia. Method: We conducted a facility-based retrospective follow-up study, involving a sample of 479 neonates admitted to the neonatal intensive care unit at Dubti General Hospital. Data entry was performed using Epi-Data version 4.6, and subsequent analysis was carried out using STATA version 14.1. To identify predictors of neonatal mortality, we applied the Cox-proportional hazard model. Results: Out of the total, 87 neonates (18.16 %) passed away. The overall incidence of neonatal mortality was 27.2 deaths per 1000 neonate-days spent in the neonatal intensive care unit, with a 95 % confidence interval of [21.8, 34.2]. Appearance, pulse, grimace, activity, and respiration score less than or equal to 5 [AHR = 0.33, 95%CI: 0.07, 0.62], respiratory distress syndrome [AHR = 3.22, 95%CI: 1.71, 6.07], Neonatal hypothermia [AHR = 3.12, 95%CI: 1.31, 7.42]. No initiation of breastfeeding [AHR = 3.68, 95%CI: 1.44, 9.36], no antenatal care visits [AHR = 0.25, 95%CI: 0.13, 0.48] and maternal birth related complication [AHR = 2.71, 95%CI: 2.43, 11.14] are predictors. Conclusion: The mortality rate was notably high, with several factors identified as independent predictors of newborn death, including Appearance, pulse, grimace, activity, and respiration, respiratory distress syndrome, hypothermia, initiation of breastfeeding, antenatal care visits, and maternal birth-related complications. There is a pressing need for intensified programming efforts aimed at improving child survival within healthcare facilities, particularly addressing neonatal complications. Enhancing prenatal care during pregnancy and early detection and treatment of intrapartum disorders are recommended strategies for enhancing newborn health outcomes.