scholarly journals Determinants of Neonatal Mortality in Kenya: Evidence from the Kenya Demographic and Health Survey 2014

2021 ◽  
Vol 10 (2) ◽  
pp. 287-295
Author(s):  
Akinyi Imbo ◽  
Elizabeth Mbuthia ◽  
Douglas Ngotho
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Global Health ◽  
Neonatal Mortality ◽  
Health Survey ◽  
Weighting Factor ◽  
Demographic And Health Survey ◽  
Birth Mothers ◽  
Neonatal Deaths ◽  
Creative Commons

Background: Globally, there has been a marked decline in neonatal mortality and overall child mortality indicators from 1990 to date. In Kenya, neonatal deaths remain unacceptably high, contributing to 40% of under-five mortality rates (U5MR) making it an important health priority. The objective of this study was to identify the determinants of neonatal mortality in Kenya. An understanding of the determinants of neonatal mortality will provide evidence for better interventions to reduce these deaths. Methods: Neonatal deaths from singleton live-born infants were extracted from women’s dataset collected for the 5-year period preceding the study published in the Kenya Demographic and Health Survey (KDHS), 2014. Data were obtained from 18,951 births. There were 356 neonatal deaths recorded. Data were weighted using an individual weighting factor to adjust for the study design and reduce sample variability. Data were analyzed using SPSS version 20.0. Logistic regression was conducted to adjust for confounding factors. Results: Neonatal mortality rate was established at 19/1000 (95% CI:16.8-20.7). Mothers with no education had higher odds of experiencing deaths of neonates with adjusted Odds Ratio (aOR)=2.201, 95% CI: 1.43-4.15,p=0.049) compared to mothers with higher education. Low Birth Weight (LBW) neonates were 3.2 times likely to die in the first 28 days (aOR=3.206, 95% CI: 1.85-12.08, p=0.006) compared to neonates with >3.5 kilograms at birth. Mothers who did not attend ANC during pregnancy and those who attended between 1-3 ANC visits had higher odds of losing their infants (aOR=3.348, 95% CI:1.616-8.53, p=0.041, and aOR=2.316, 95% CI: 1.10-4.88, p=0.027) respectively, compared to mothers who attended >4 ANC visits. Conclusion and Global Health Implications: Improving maternal health and nutrition during pregnancy should be enhanced to ensure adequate weight gain and reduce instances of low birth weight. Community referrals and follow-up for expectant women to take up the requisite 4 ANC visits should be encouraged. Girls’ education should be emphasized to reduce the proportion of illiterate mothers.   Copyright © 2021 Imbo et al. Published by Global Health and Education Projects, Inc. This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0.

scholarly journals DETERMINANTS OF NEONATAL MORTALITY BASED ON THE 2017 INDONESIAN DEMOGRAPHIC AND HEALTH SURVEY (IDHS)

2021 ◽  
Vol 16 (3) ◽  
pp. 363
Author(s):  
Fidya Rumiati ◽  
Asri C. Adisasmita
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Health Survey ◽  
Neonatal Period ◽  
Health Interventions ◽  
Demographic And Health Survey ◽  
Outcome Variable ◽  
Childbearing Age ◽  
Major Health Problem

ABSTRACTInfant mortality is still a major health problem in Indonesia as 63% of deaths occur in the neonatal period. The trend of the neonatal mortality rate in Indonesia has decreased from 15 (2017) to 13 deaths per 1,000 live births (2018), but this does not meet the Sustainable Development Goals (SDGs) target. Evidence-based health interventions are based on determinants that most influences neonatal mortality. The purpose of this study was to determine the most influential determinants of neonatal mortality in Indonesia. This research is an analytic observational study that uses the 2017 Indonesian Demographic and Health Survey (IDHS) data, with a cross-sectional design. This study’s population was the last baby of married women of childbearing age (15-49 years) and was recorded in the 2017 IDHS with a sample of 15,102 babies. The outcome variable in this study was neonatal mortality. The analysis was conducted in stages, namely univariate analysis, bivariate analysis using the chi-square statistical test (X2), and multivariate analysis using logistic regression. The results showed that 85.71% of deaths occurred in the early neonatal period. The most influential determinants of neonatal mortality were male sex (adj OR = 2.91: 95% CI 1.78-4.76), low birth weight (adj OR = 12.08: 95% CI 7.38-18.86) and parity status ≥ 4 (adj OR = 2.11: 95% CI 1.22-3.61). Public health interventions aimed at reducing neonatal mortality should be linked to newborn and maternal characteristics that significantly influence Indonesia's neonatal mortality. Therefore, health services must consider adequate postpartum neonatal care that is fully integrated with medical care. Moreover, further prevention of potential factors that cause low birth weight before conception should be implemented and further control of births would optimize the family planning program. Keywords: gender, low birth weight, parity status, determinant, neonatal mortality, Indonesia

Low Birth Weight in Ethiopia: A Multi-Level Analysis of 2016 Ethiopian Demographic and Health Survey

2020 ◽  
Author(s):  
Addisu Alehegn Alemu ◽  
Liknaw Bewket Zeleke ◽  
Bewket Aynalem ◽  
Melaku Desta ◽  
Eskeziaw Abebe Kasahun ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Demographic And Health Survey ◽  
Multi Level ◽  
Level Analysis

scholarly journals Geospatial analysis of determinants of neonatal mortality in Ghana

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Duah Dwomoh
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Neonatal Death ◽  
Reproductive Age ◽  
Multiple Births ◽  
Demographic And Health Surveys ◽  
Neonatal Deaths ◽  
The Impact

Abstract Background Ghana did not meet the Millennium Development Goal 4 of reducing child mortality by two-thirds and may not meet SDG (2030). There is a need to direct scarce resources to mitigate the impact of the most important risk factors influencing high neonatal deaths. This study applied both spatial and non-spatial regression models to explore the differential impact of environmental, maternal, and child associated risk factors on neonatal deaths in Ghana. Methods The study relied on data from the Ghana Demographic and Health Surveys (GDHS) and the Ghana Maternal Health Survey (GMHS) conducted between 1998 and 2017 among 49,908 women of reproductive age and 31,367 children under five (GDHS-1998 = 3298, GDHS-2003 = 3844, GDHS-2008 = 2992, GDHS-2014 = 5884, GMHS-2017 = 15,349). Spatial Autoregressive Models that account for spatial autocorrelation in the data at the cluster-level and non-spatial statistical models with appropriate sampling weight adjustment were used to study factors associated with neonatal deaths, and a p-value less than 0.05 was considered statistically significant. Results Population density, multiple births, smaller household sizes, high parity, and low birth weight significantly increased the risk of neonatal deaths over the years. Among mothers who had multiple births, the risk of having neonatal deaths was approximately four times as high as the risk of neonatal deaths among mothers who had only single birth [aRR = 3.42, 95% CI: 1.63–7.17, p < 0.05]. Neonates who were perceived by their mothers to be small were at a higher risk of neonatal death compared to very large neonates [aRR = 2.08, 95% CI: 1.19–3.63, p < 0.05]. A unit increase in the number of children born to a woman of reproductive age was associated with a 49% increased risk in neonatal deaths [aRR = 1.49, 95% CI: 1.30–1.69, p < 0.05]. Conclusion Neonatal mortality in Ghana remains relatively high, and the factors that predisposed children to neonatal death were birth size that were perceived to be small, low birth weight, higher parity, and multiple births. Improving pregnant women’s nutritional patterns and providing special support to women who have multiple deliveries will reduce neonatal mortality in Ghana.

scholarly journals A profile on the spectrum of neonatal mortality and morbidity pattern of extramural neonates in the Specialised Neonatal Care Unit (SNCU) in a tertiary care hospital

2018 ◽  
Vol 5 (2) ◽  
pp. 427 ◽  
Author(s):  
Anuradha D. ◽  
Rajesh Kumar S. ◽  
Aravind M. A. ◽  
Jayakumar M. ◽  
J. Ganesh J.
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Respiratory Distress ◽  
Neonatal Mortality ◽  
Low Birthweight ◽  
Tertiary Care ◽  
Birth Asphyxia ◽  
Newborn Care ◽  
Care Hospital ◽  
Neonatal Deaths

Background: Every year, nearly four million newborn babies die in the first month of life. India carries the single largest share (around 25-30%) of neonatal deaths in the world. Neonatal deaths constitute two thirds of infant deaths in India. 45% of the deaths occur within the first two days of life. It has been estimated that about 70% of neonatal deaths could be prevented if proven interventions are implemented effectively at the appropriate time. It was further estimated that health facility-based interventions can reduce neonatal mortality by 23-50% in different settings. Facility-based newborn care, thus, has a significant potential for improving the survival of newborns in India. This research has been planned with an aim to study the profile of pattern of admissions in a SNCU and their outcomes following admission and management in the unit.Methods: All babies referred for neonatal problems (less than 28 days) and admitted in NICU will be included. Both term and preterm babies will be considered. The criteria for admission includes various causes like low birth weight, preterm, birth asphyxia, respiratory distress, hyperbilirubinemia, congenital anomalies, risk factors (maternal, neonatal, prenatal), infections and outcome will be analysed.Results: Among the 2927 admissions term babies and boys outnumbered. The common causes for admission were birth asphyxia, respiratory distress, low birthweight and preterm. Most babies had an uncomplicated stay. The mortality in the extramural neonates was due to neonatal sepsis, extreme preterm and congenital malformations.Conclusions: Intensive and interventional management, along with good neonatal monitoring and care can reduce the mortality and improve the survival of low birth weight babies and other treatable problems. Thus, a combined effort of management by pediatricians, nursing care, neonatal intensive care unit can improve the survival rates of neonates.

MID-ARM CIRCUMFERENCE AT BIRTH AS PREDICTOR OF LOW BIRTH WEIGHT AND NEONATAL MORTALITY

2000 ◽  
Vol 32 (4) ◽  
pp. 487-493 ◽  
Author(s):  
FARID UDDIN AHMED ◽  
ENAMUL KARIM ◽  
SYEDA NURJAHAN BHUIYAN
Keyword(s):  
Developing Countries ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Neonatal Outcome ◽  
College Hospital ◽  
Medical Practitioners ◽  
Neonatal Deaths ◽  
Medical College ◽  
Arm Circumference

In Bangladesh, like other developing countries, most births occur at home or in the community, so logistic problems and taboos prevent the weighing of every newborn child. This study was performed to see whether other simpler measurements could be substituted for weight to identify neonates of low birth weight. A total of 1676 live births at the Chittagong Medical College Hospital constituted the study sample, and this showed a high correlation between mid-arm circumference and birth weight (r=0.792, p<0·000). A mid-arm circumference of <9·0 cm had the best sensitivity and specificity for identifying newborns with a birth weight of less than 2500 g. These neonates were followed up to record neonatal deaths. Neonatal mortality showed an inverse relation with mid-arm circumference. A mid-arm circumference of <9·0 cm and a birth weight of <2500 g were equally useful in predicting neonatal outcome. Mid-arm circumference is a simple, quick and reliable indicator for predicting low birth weight and neonatal outcome, and can be easily measured by medical practitioners and traditional birth attendants (TBAs) in the community of developing countries like Bangladesh.

scholarly journals Factors associated with low birth weight in Afghanistan: a cross-sectional analysis of the demographic and health survey 2015

BMJ Open ◽  
2019 ◽  
Vol 9 (5) ◽  
pp. e025715 ◽  
Author(s):  
Rajat Das Gupta ◽  
Krystal Swasey ◽  
Vanessa Burrowes ◽  
Mohammad Rashidul Hashan ◽  
Gulam Muhammed Al Kibria
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Urban Areas ◽  
Maternal Education ◽  
Multivariable Analysis ◽  
Demographic And Health Survey ◽  
Secondary Outcome ◽  
Cross Sectional ◽  
Factors Associated

ObjectivesThis study aimed to investigate the factors associated with low birth weight (LBW) in Afghanistan.DesignCross-sectional study.SettingThis study used data collected from the Afghanistan Demographic and Health Survey 2015.ParticipantsFacility-based data from 2773 weighted live-born children enrolled by a two-stage sampling strategy were included in our analysis.Primary and secondary outcome measuresThe primary outcome was LBW, defined as birth weight <2.5kg.ResultsOut of 2773 newborns, 15.5% (n=431) had LBW. Most of these newborns were females (58.3%, n=251), had a mother with no formal schooling (70.5%, n=304), lived in urban areas (63.4%, n=274) or lived in the Central region of Afghanistan (59.7%, n=257). In multivariable analysis, residence in Central (adjusted OR (AOR): 3.4; 95% CI 1.7 to 6.7), Central Western (AOR: 3.0; 95% CI 1.5 to 5.8) and Southern Western (AOR: 4.0; 95% CI 1.7 to 9.1) regions had positive association with LBW. On the other hand, male children (AOR: 0.5; 95% CI 0.4 to 0.8), newborns with primary maternal education (AOR: 0.5; 95% CI 0.3 to 0.8), birth interval ≥48 months (AOR: 0.4; 95% CI 0.1 to 0.8), belonging to the richest wealth quintile (AOR: 0.2; 95% CI 0.1 to 0.6) and rural residence (AOR: 0.3; 95% CI 0.2 to 0.6) had decreased odds of LBW.ConclusionsMultiple factors had association with LBW in Afghanistan. Maternal, Neonatal and Child Health programmes should focus on enhancing maternal education and promoting birth spacing to prevent LBW. To reduce the overall burden of LBW, women of the poorest wealth quintiles, and residents of Central, Central Western and South Western regions should also be prioritised. Further exploration is needed to understand why urban areas are associated with higher likelihood of LBW. In addition, research using nationally representative samples are required.

scholarly journals Infection remains a leading cause of neonatal mortality among infants delivered at a tertiary hospital in Karachi, Pakistan

2014 ◽  
Vol 8 (11) ◽  
pp. 1470-1475 ◽  
Author(s):  
Muhammad Ayaz Mustufa ◽  
Razia Korejo ◽  
Anjum Shahid ◽  
Sadia Nasim
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Neonatal Mortality ◽  
Distress Syndrome ◽  
Very Low Birth Weight ◽  
Neonatal Period ◽  
Healthcare Facility ◽  
Normal Birth Weight ◽  
Neonatal Deaths ◽  
Normal Birth

Introduction: The current cohort study was conducted to determine the frequency and compare the mortality rate with associated characteristics among low birth weight and normal birth weight infants during the neonatal period at a tertiary healthcare facility, Karachi. Methodology: Close-ended structured questionnaires were used to collect information from the parents of 500 registered neonates at the time of birth. Follow-ups by phone on the 28th day of life were done to determine the mortality among low birth weight and normal birth weight babies during the neonatal period. Results: The neonatal mortality rate ranged from as low as 2.4% in the normal birth weight and 16.4% in the low birth weight categories to as high as 96% in the very low birth weight category. Respiratory distress syndrome (24.2%) and sepsis (18.2%) were reported as the leading causes of neonatal deaths. The babies’ lengths of stay ranged from 2 to 24 hours, and around 90% of neonatal deaths were reported in the first seven days of life. More than 6% of neonates died at home, and 7.6% of the deceased babies did not visit any healthcare facility or doctor before their death. In the 12–15 hours before their deaths, 13.6% of the deceased babies had been unattended. Around 90% of the deceased babies were referred from a doctor or healthcare facility. Conclusions: The present estimates of neonatal mortality are very high among low birth weight and very low birth weight categories. Infectious diseases, including respiratory distress syndrome (24.2%) and sepsis (18.2%), were leading causes of neonatal deaths.

scholarly journals Predictive accuracy of perceived baby birth size for birth weight: a cross-sectional study from the 2016 Ethiopian Demographic and Health Survey

BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e031986
Author(s):  
Dabere Nigatu ◽  
Demewoz Haile ◽  
Bereket Gebremichael ◽  
Yordanos M Tiruneh
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Health Survey ◽  
Predictive Accuracy ◽  
Cross Sectional Study ◽  
Demographic And Health Survey ◽  
Birth Size ◽  
Sectional Study ◽  
Cross Sectional ◽  
Factors Influencing

ObjectivesThe study was designed to evaluate the accuracy of maternally perceived baby birth size assessments as a measure of birth weight and examine factors influencing the accuracy of maternal size assessments.Study designCross-sectional study.SettingThe study is based on national data from the 2016 Ethiopian Demographic and Health Survey.ParticipantsWe included 1455 children who had both birth size and birth weight data.Main outcome measuresPredictive accuracy of baby birth size for low birth weight. Level of discordance between maternally perceived birth size and birth weight including factors influencing discordance.ResultsMother-reported baby birth size had low sensitivity (57%) and positive predictive value (41%) to indicate low birth weight but had high specificity (89%) and negative predictive values (94%). The per cent of agreement between birth weight (<2500 g vs ≥2500 g) and maternally perceived birth size (small size vs average or above) was 86% and kappa statistics indicated a moderate level of agreement (kappa=0.41, p<0.001). Maternal age, wealth index quintile, marital status and maternal education were significant predictors of the discordance between birth size and birth weight.ConclusionsMaternal assessment of baby size at birth is an inaccurate proxy indicator of low birth weight in Ethiopia. Therefore, a mother’s recall of birth size should be used as a proxy indicator for low birth weight with caution and should take maternal characteristics into consideration.

scholarly journals Causes of Preterm and Low Birth Weight Neonatal Mortality in a Rural Community in Kenya: Evidence From Verbal and Social Autopsy

2020 ◽  
Author(s):  
Beatrice Olack ◽  
Nicole Santos ◽  
Mary Inziani ◽  
Vincent Moshi ◽  
Polycarp Oyoo ◽  
...  
Keyword(s):  
Birth Weight ◽  
Low Birth Weight ◽  
Respiratory Distress Syndrome ◽  
Respiratory Distress ◽  
Neonatal Mortality ◽  
Distress Syndrome ◽  
Neonatal Period ◽  
Preterm Neonates ◽  
Neonatal Deaths ◽  
Social Autopsy

Abstract BackgroundUnder-five mortality in Kenya has declined over the past two decades. However, the reduction in the neonatal mortality rate has remained stagnant. In a country with weak civil registration and vital statistics systems, there is an evident gap in documentation of mortality and its causes among low birth weight (LBW) and preterm neonates. We aimed to establish causes of neonatal LBW and preterm mortality in Migori County, among participants of the PTBI-K (Preterm Birth Initiative-Kenya) study.MethodsThis was a cross sectional study whereby Verbal and social autopsy (VASA) interviews were conducted with caregivers of deceased LBW and preterm neonates delivered within selected 17 health facilities in Migori County, Kenya. The probable cause of death was assigned using the WHO International Classification of Diseases (ICD-10). ResultsBetween January 2017 to December 2018, 3175 babies were born preterm or LBW, and 162 (5.1%) died in the first 28 days of life in 17 participating health facilities in the PTBI-K project. VASA was conducted among 88 (53.7%) neonatal deaths. Almost half (38, 43.2%) of the deaths occurred within the first 24 hours of life. Birth asphyxia (45.5%), neonatal sepsis (26.1%), respiratory distress syndrome (12.5%) and hypothermia (11.0%) were the leading causes of death. In the early neonatal period, majority (54.3%) of the neonates succumbed to asphyxia while in the late neonatal period majority (66.7%) succumbed to sepsis. Delay in seeking medical care was reported for 4 (5.8%) of the neonatal deaths. ConclusionDeaths among LBW and preterm neonates occur early in life due to preventable causes. This calls for enhanced intrapartum and immediate postpartum care interventions targeting asphyxia, sepsis, respiratory distress syndrome and hypothermia.

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