scholarly journals Gambaran Kematian Neonatal Berdasarkan Karakteristik Ibu di Kota Semarang

2020 ◽  
Vol 5 (2) ◽  
pp. 82-87
Author(s):  
Sinta Wati ◽  
Mateus Sakundarno Adi
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Descriptive Analysis ◽  
Secondary Data ◽  
Data Sampling ◽  
Neonatal Mortality Rate ◽  
Maternal Characteristics ◽  
Neonatal Deaths ◽  
Live Births ◽  
Central Java

Background: The Neonatal Mortality Rate of Central Java in 2018 was 7.3 per 1000 live births and the neonatal mortality rate in Semarang City in 2018 was 4.57 per 1000 live births. The purpose of this study was to analyze neoanatal mortality based on maternal characteristics in Semarang City.Methods: This research used descriptive analysis, derived from secondary data in the Semarang City Health Office. The data was taken from Verbal Perinatal Autopsy data sampling from neonatal cases aged 0-28 days who died in Semarang City. In 2019 there were 50 cases out of 101 neonatal death cases.Results: From the analysis showed that neonatal mortality in Semarang City based on the place of delivery were 90% in hospitals with 86% birth attendants assisted by obstetrics and gynecology specialists. Mothers were aged 20-35 years (74%) and 80% have maternal parity less than 3 children, with pregnancy spacing less than 2 years (56%). Beside that, more than 74% mothers have gestational age less than 37 weeks or during the preterm period and 68% of mothers also do Antenatal Care more than 4 times during pregnancy. Most of mothers have hypertension and anemia (20%). Looking at the risk factors, there are 26% of mothers who have a history of abortion, the mother’s age is too old (16%) and childbirth by cesarian section (10%).Conclusion: Neonatal deaths in Semarang City are already numerous in hospitals and delivery assistants by obstetricians. The biggest possibility is that the quality of ANC services is inadequate and not according to ANC-10-T standards.

scholarly journals Density Estimation of Neonatal Mortality Rate Using Empirical Bayes Deconvolution with Poisson Distributed Surrogate in Central Java Province Indonesia

2020 ◽  
pp. 206-212
Author(s):  
Fevi Novkaniza ◽  
Khairil Anwar Notodiputro ◽  
I Wayan Mangku ◽  
Kusman Sadik
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Density Estimation ◽  
Poisson Distribution ◽  
Empirical Bayes ◽  
Prior Density ◽  
Neonatal Mortality Rate ◽  
Neonatal Deaths ◽  
Central Java ◽  
Central Java Province

This article is concerned with the density estimation of Neonatal Mortality Rate (NMR) in Central Java Province, Indonesia. Neonatal deaths contribute to 73% of infant deaths in Central Java Province. The number of neonatal deaths for 35 districts/municipalities in Central Java Province is considered as Poisson distributed surrogate with NMR as the rate of Poisson distribution. It is assumed that each number of neonatal deaths by district/municipality in Central Java Province were realizations of unobserved NMR, which come from unknown prior density. We applied the Empirical Bayes Deconvolution (EBD) method for estimating the unknown prior density of NMR based on Poisson distributed surrogate. We used secondary data from the Health Profiles of Central Java Province, Indonesia, in 2018. The density estimation of NMR by the EBD method showed that the resulting prior estimate is relatively close to the Gamma distribution based on Poisson surrogate. This is implying that the suitability of the obtained prior density estimation as a conjugate prior for Poisson distribution.

Retrospective analysis of neonatal deaths secondary to infections in England and Wales, 2013–2015

2020 ◽  
pp. fetalneonatal-2020-319093
Author(s):  
Godwin Oligbu ◽  
Leila Ahmed ◽  
Laura Ferraras-Antolin ◽  
Shamez Ladhani
Keyword(s):  
Mortality Rate ◽  
Retrospective Analysis ◽  
Neonatal Mortality ◽  
Mortality Rates ◽  
Neonatal Mortality Rate ◽  
England And Wales ◽  
Neonatal Deaths ◽  
Live Births ◽  
Extremely Preterm ◽  
Related Mortality

ObjectiveTo estimate the overall and infection-related neonatal mortality rate and the pathogens responsible using electronic death registrations.DesignRetrospective analysis of national electronic death registrations data.SettingEngland and Wales.PatientsNeonates aged <28 days.Main outcome measuresOverall and infection-related mortality rate per 1000 live births in term, preterm (28–36 weeks) and extremely preterm (<28 weeks) neonates; the contribution of infections and specific pathogens; comparison with mortality rates in 2003–2005.ResultsThe neonatal mortality rate during 2013–2015 (2.4/1000 live births; 5095 deaths) was 31% lower than in 2003–2005 (3.5/1000; 6700 deaths). Infection-related neonatal mortality rate in 2013–2015 (0.32/1000; n=669) was 20% lower compared with 2003–2015 (0.40/1000; n=768), respectively. Infections were responsible for 13.1% (669/5095) of neonatal deaths during 2013–2015 and 11.5% (768/6700) during 2003–2005. Of the infection-related deaths, 44.2% (296/669) were in term, 19.9% (133/669) preterm and 35.9% (240/669) extremely preterm neonates. Compared with term infants (0.15/1000 live births), infection-related mortality rate was 5.9-fold (95% CI 4.7 to 7.2) higher in preterm (0.90/1000) and 188-fold (95% CI 157 to 223) higher in extremely preterm infants (28.7/1000) during 2013–2015. A pathogen was recorded in 448 (67%) registrations: 400 (89.3%) were bacterial, 37 (8.3%) viral and 11 (2.4%) fungal. Group B streptococcus (GBS) was reported in 30.4% (49/161) of records that specified a bacterial infection and 7.3% (49/669) of infection-related deaths.ConclusionsOverall and infection-related neonatal mortality rates have declined, but the contribution of infection and of specific pathogens has not changed. Further preventive measures, including antenatal GBS vaccine may be required to prevent the single most common cause of infection-related deaths in neonates.

Reduction in Perinatal Mortality after Implementation of HBB Training at a District Hospital in Mali

2019 ◽  
Vol 66 (3) ◽  
pp. 315-321
Author(s):  
M Innerdal ◽  
I Simaga ◽  
H Diall ◽  
M Eielsen ◽  
S Niermeyer ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Perinatal Mortality ◽  
District Hospital ◽  
Neonatal Mortality Rate ◽  
Neonatal Deaths ◽  
Live Births ◽  
Early Neonatal Mortality ◽  
Helping Babies Breathe ◽  
Before And After

Abstract Background Mali has a high neonatal mortality rate of 38/1000 live births; in addition the fresh stillbirth rate (FSR) is 23/1000 births and of these one-third are caused by intrapartum events. Objectives The aims are to evaluate the effect of helping babies breathe (HBB) on mortality rate at a district hospital in Kati district, Mali. Methods HBB first edition was implemented in April 2016. One year later the birth attendants were trained in HBB second edition and started frequent repetition training. This is a before and after study comparing the perinatal mortality during the period before HBB training with the period after HBB training, the period after HBB first edition and the period after HBB second edition. Perinatal mortality is defined as FSR plus neonatal deaths in the first 24 h of life. Results There was a significant reduction in perinatal mortality rate (PMR) between the period before and after HBB training, from 21.7/1000 births to 6.0/1000 live births; RR 0.27, (95% CI 0.19–0.41; p &lt; 0.0001). Very early neonatal mortality rate (24 h) decreased significantly from 6.3/1000 to 0.8/1000 live births; RR 0.12 (95% CI 0.05–0.33; p = 0.0006). FSR decreased from 15.7/1000 to 5.3/1000, RR 0.33 (95% CI 0.22–0.52; p &lt; 0.0001). No further reduction occurred after introducing the HBB second edition. Conclusion HBB may be effective in a local first-level referral hospital in Mali.

scholarly journals Neonatal Mortality and Its Determinates in Public Hospitals of Gamo and Gofa Zones, Southern Ethiopia: Prospective Follow up Study

2019 ◽  
Author(s):  
Abera Mersha ◽  
Agegnehu Bante ◽  
Shitaye Shibiru
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Neonatal Period ◽  
Public Hospitals ◽  
Southern Ethiopia ◽  
Neonatal Mortality Rate ◽  
Neonatal Deaths ◽  
Live Births ◽  
Follow Up Study

Abstract Abstract Background: The neonatal period is the most vulnerable time for child survival. The declines in the neonatal mortality rate have been slower than the post-neonatal under-five mortality rate in the majority of countries. This trend is also similar in Ethiopia, that neonatal mortality was high as compared to the post-neonatal mortality rate. A large proportion of neonatal deaths occur during the 48 hours after delivery. Different studies were conducted in assessing determinates for neonatal mortality but there is a need to assess the immediate postnatal (within two days following delivery) cause of neonatal mortality that the majority of deaths occurred at that time. So, this study is to fill those gaps of the aforementioned studies, in assessing the determinate factors affecting neonatal mortality in public hospitals of Gamo and Gofa Zones, Southern Ethiopia. Methods: A prospective follow up study was conducted among 6,986 study participants from April 5, 2018, to March 5, 2019. All live births at the hospitals during the study period were included in this study. Data on causes of neonatal death were collected by using a structured verbal autopsy questionnaire. Data were entered into Epi data version 3.1 and exported to Stata version 15 for analysis. Crude and adjusted estimate β with 95%CI was calculated in the binary logistic regression model. The goodness of fit was tested by a log-likelihood ratio (LR). In this study P-value < 0.05 was considered to declare a result as a statistically significant association. Results: In this study, neonatal mortality incidence ratio was 9.6 (95%CI: 7.5, 12.2) per 1000 live births. Age of the mother, number of antenatal care, hemorrhage, sex of the neonate, presentation, gestational age and birth weight were identified as the significant determinates for neonatal mortality. Prematurity, infection, and birth asphyxia were the most common causes of neonatal mortality cases. Conclusions: This study indicated that a significant number of neonates died during the neonatal period. Both maternal and neonatal factors were identified. Therefore, early identification of obstetric complications and immediate interventions, strengthening the provision of quality antenatal and postnatal care services are recommended. Keywords: Neonatal Mortality; Neonatal Deaths

scholarly journals Density Estimation of Neonatal Mortality Rate Using Empirical Bayes Deconvolution in Central Java Province, Indonesia

2021 ◽  
Vol 179 ◽  
pp. 361-367
Author(s):  
Fevi Novkaniza ◽  
Khairil Anwar Notodiputro ◽  
I Wayan Mangku ◽  
Kusman Sadik
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Density Estimation ◽  
Empirical Bayes ◽  
Neonatal Mortality Rate ◽  
Central Java ◽  
Central Java Province

scholarly journals Infant mortality: comparison between two birth cohorts from Southeast and Northeast, Brazil

2004 ◽  
Vol 38 (6) ◽  
pp. 773-779 ◽  
Author(s):  
Valdinar S Ribeiro ◽  
Antônio A M Silva ◽  
Marco A Barbieri ◽  
Heloisa Bettiol ◽  
Vânia M F Aragão ◽  
...  
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Protective Factor ◽  
Infant Mortality Rate ◽  
Northeast Brazil ◽  
Birth Cohorts ◽  
Neonatal Mortality Rate ◽  
Live Births

OBJECTIVE: To obtain population estimates and profile risk factors for infant mortality in two birth cohorts and compare them among cities of different regions in Brazil. METHODS: In Ribeirão Preto, southeast Brazil, infant mortality was determined in a third of hospital live births (2,846 singleton deliveries) in 1994. In São Luís, northeast Brazil, data were obtained using systematic sampling of births stratified by maternity unit (2,443 singleton deliveries) in 1997-1998. Mothers answered standardized questionnaires shortly after delivery and information on infant deaths was retrieved from hospitals, registries and the States Health Secretarys' Office. The relative risk (RR) was estimated by Poisson regression. RESULTS: In São Luís, the infant mortality rate was 26.6/1,000 live births, the neonatal mortality rate was 18.4/1,000 and the post-neonatal mortality rate was 8.2/1,000, all higher than those observed in Ribeirão Preto (16.9, 10.9 and 6.0 per 1,000, respectively). Adjusted analysis revealed that previous stillbirths (RR=3.67 vs 4.13) and maternal age <18 years (RR=2.62 vs 2.59) were risk factors for infant mortality in the two cities. Inadequate prenatal care (RR=2.00) and male sex (RR=1.79) were risk factors in São Luís only, and a dwelling with 5 or more residents was a protective factor (RR=0.53). In Ribeirão Preto, maternal smoking was associated with infant mortality (RR=2.64). CONCLUSIONS: In addition to socioeconomic inequalities, differences in access to and quality of medical care between cities had an impact on infant mortality rates.

scholarly journals Neonatal mortality and leading causes of deaths: a descriptive study in China, 2014–2018

BMJ Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. e042654
Author(s):  
Yuxi Liu ◽  
Leni Kang ◽  
Chunhua He ◽  
Lei Miao ◽  
Xiaoqiong Qiu ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Low Income ◽  
Rural Areas ◽  
Urban Areas ◽  
Middle Income ◽  
Government Interventions ◽  
Neonatal Deaths ◽  
Live Births ◽  
Urban And Rural Areas

ObjectiveThe present study estimated the national and urban–rural levels and causes of neonatal deaths in China annually between 2014 and 2018 to provide data support for the further end of preventable neonatal deaths for China and other low-income and middle-income countries.MethodsThe study was based on data from the National Maternal and Child Health Surveillance System. All neonates of surveillance districts (gestational week: ≥28 weeks) who died after delivery have been involved in the study. The mortality rate and the leading causes of death for neonates were analysed.ResultsThe neonatal mortality rate (NMR) of China has steadily decreased from 5.9 deaths per 1000 live births in 2014 to 3.9 deaths per 1000 live births in 2018. The NMR in 2018 of urban and rural areas was 2.2 deaths per 1000 live births and 4.7 deaths per 1000 live births, respectively. The leading preventable causes of neonatal deaths are the same in the urban and rural areas were same, which were preterm birth, intrapartum complications and pneumonia. Mortality rates of these three causes fell significantly between 2014 and 2018 but contributed to a higher proportion of deaths in rural areas than urban areas. The proportion of preventable deaths accounted for 74.6% in 2018.ConclusionsThe NMR of China has decreased steadily from 2014 to 2018. However, the inequality between urban and rural areas still exists. The goal of government interventions should be to reduce the health inequality of neonates and further take targeted measures to eliminate preventable neonatal death.

scholarly journals The Pattern and Causes of Neonatal Mortality in a Tertiary Hospital in the Southwest of Nigeria

2020 ◽  
Vol 24 (4) ◽  
Author(s):  
Kareem Abiodun John ◽  
Fasoranti Ifedayo Olabisi ◽  
Alonge Abel Olumuyiwa ◽  
Kareem Adesola Olawumi ◽  
Bewaji Temitayo Olubunmi ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Medical Center ◽  
Birth Asphyxia ◽  
Tertiary Hospital ◽  
Neonatal Mortality Rate ◽  
Female Ratio ◽  
Neonatal Deaths ◽  
Southwest Nigeria ◽  
Causes Of Mortality

Background: The neonatal mortality rate remains high in developing countries despite the significant reduction in under-five mortality globally. Therefore, periodic evaluations on the causes of mortality are an aspect of health status, which could be performed to improve the neonatal mortality rate. Objectives: The present study aimed to determine the pattern and causes of neonatal mortality in the Federal Medical Center in Owo, Ondo State, Southwest Nigeria. Methods: This retrospective study was conducted using the hospital records of the neonates admitted over a five-year period from 1st of January 2015 to 31st of December 2019. Results: In total, 2,065 neonates were admitted, including 208 cases of neonatal deaths. Mortality occurred in 127 males (61.1%) and 81 females (38.9%), with the male-to-female ratio of 1.6:1. Among the recorded deaths, 114 cases (54.8%) occurred within the first 24 hours of admission, while 94 neonates (45.2%) died after 24 hours of admission. In addition, the mortality rate was higher among outborn neonates (n = 120; 57.7%) compared to inborn neonates (n = 88; 42.3%). The major causes of neonatal deaths included birth asphyxia (46.6%), prematurity (23.1%), and sepsis (17.8%). The overall mortality rate over the five-year period was 10.1%, which is equivalent to 19 deaths per 1,000 live births. Conclusions: According to the results, preventable diseases such as birth asphyxia, prematurity, and sepsis remain the major causes of neonatal mortality, of which neonatal deaths occur mostly within 24 hours of admission.

scholarly journals A community based study of neonatal mortality in Aligarh by using verbal autopsy

2018 ◽  
Vol 5 (6) ◽  
pp. 2491
Author(s):  
Ambren Chauhan ◽  
M. Salman Shah ◽  
Najam Khalique ◽  
Uzma Eram
Keyword(s):  
Mortality Rate ◽  
Neonatal Mortality ◽  
Verbal Autopsy ◽  
Birth Asphyxia ◽  
Survival Strategies ◽  
Biological Factors ◽  
Neonatal Mortality Rate ◽  
Community Based ◽  
Cross Sectional ◽  
Live Births

Background:Neonatal mortality rate is regarded as an important and sensitive indicator of the health status of a community. Children face the highest risk of dying in their first month of life. The present study was aimed to 1) determine the prevalence of neonatal mortality rate 2) identify socio-biological factors in relation to neonatal mortality.3) determine the causes of neonatal mortality. Methods:A community based cross sectional study was conducted in the field practice areas of Department of Community Medicine, AMU, Aligarh. All the live births and all neonatal deaths were taken for one year from June 2016 to May 2017. A standard Verbal autopsy questionnaire (WHO 2012) was used as a study tool. Results:The prevalence of neonatal mortality rate was38.2/1000 live births. The early neonatal mortality rate was 28.3/1000 live births and late neonatal mortality rate was 9.9/1000 live births. The associated socio –biological factors were gender [OR-2.381, 95% CI-1.037-5.468], birth order [OR-4.090, 95% CI-1.119-14.946] and gestational age [OR-12.62, 95% CI-3.26-48.82]. The leading causes of deaths among newborns were preterm births (22.2%), birth asphyxia (22.2%), other causes (19%), ARI (14.3%), congenital anomalies (14.3%) and diarrhoeaandneonatal sepsis accounted for (4.8%) each. Conclusions: The neonatal mortality rate assessed by verbal autopsy is higher than nationally reported. Most of the deaths were in early neonatal period. There is a need for programs encouraging the use of antenatal care, encouraging institutional deliveries and care of LBW neonates; as well as implementation of community-based newborn survival strategies.

scholarly journals Socio-demographic determinants of under-five mortality in rural Agra

2017 ◽  
Vol 4 (9) ◽  
pp. 3108
Author(s):  
Krishan Kumar ◽  
Rajiv Srivastava ◽  
S. K. Mishra
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Nuclear Family ◽  
Well Being ◽  
Infant Mortality Rate ◽  
Age Group ◽  
Neonatal Mortality Rate ◽  
Important Indicator ◽  
Live Births

Background: One of the most important indicator or index of socio-economic development of a country or region is infant mortality rate. The present study was undertaken to assess the quantum of childhood mortality and to find out the social factors associated with these deaths by verbal autopsies. Methods: This one year cross-sectional study was undertaken in a purposively selected community Development Block Sainyan, district Agra among children aged between 0-5 years using multistage random sampling technique. Suitable statistical methods were applied. Results: Out of total 8355 families surveyed, a total of 185 deaths were reported among children. Number of deaths was higher among those belonging to nuclear family and lower socioeconomic status. The neonatal mortality rate was estimated to be 33.55/1000 live births. The post neonatal mortality rate was found to be 40.78/1000 live births and infant mortality rate was 74.33/1000 live births. Mortality rate in 1-5 year age group children was 10.6/1000 same age group children, while 0-5 yrs. mortality was estimated to be 22.39/1000 children of same age group. Out of 185 children who died, 52.7% were unimmunized and another 35.67% were partially immunized. Conclusions: Female education and socioeconomic well-being should be strengthened. 

Sign in / Sign up

Export Citation Format

Share Document