scholarly journals Analysis of the difference in perinatal mortality rate between white- and blue-collar workers in Japan, 1995–2015

2020 ◽  
pp. e2020069
Author(s):  
Tasuku Okui
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Blue Collar ◽  
Blue Collar Workers ◽  
Perinatal Mortality Rate ◽  
The Difference

USE OF REFINED PERINATAL MORTALITY RATE TRENDS TO EVALUATE THE EFFECT OF A CONFIDENTIAL INQUIRY

The Lancet ◽  
1985 ◽  
Vol 326 (8448) ◽  
pp. 197-199 ◽  
Author(s):  
Joyce Thomas ◽  
Joan Edwards ◽  
Peter Bowen-Simpkins ◽  
DewiR. Evans ◽  
StuartP. Jenkins ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Perinatal Mortality Rate

Risk factors for perinatal mortality: a case control study from Thiruvananthapuram, Kerala, India

2017 ◽  
Vol 6 (6) ◽  
pp. 2452 ◽  
Author(s):  
Mayadevi Brahmanandan ◽  
Lekshmi Murukesan ◽  
Bindu Nambisan ◽  
Shaila Salmabeevi
Keyword(s):  
Risk Factors ◽  
Mortality Rate ◽  
Perinatal Mortality ◽  
Case Control Study ◽  
Gestational Hypertension ◽  
Significant Risk ◽  
Case Control ◽  
Maternal Risk ◽  
Perinatal Mortality Rate ◽  
Control Study

Background: The greatest risks to life are in its very beginning. Although a good start in life begins well before birth, it is just before, during, and in the very first hours and days after birth that life is most at risk. This prospective case control study was designed on maternal risk factors for perinatal mortality.Methods: This was a case control study conducted in the Department of Obstetrics and Gynecology and Department of Paediatrics, Medical College Trivandrum for one year period in 2004-2005. The cases were all the fresh and macerated still births and early neonatal death cases during the study period. The controls were chosen as the next delivery entry in the OR register.Results: During this period, the total number of deliveries was 14,796 and there were 431 perinatal deaths. The perinatal mortality rate was 29.12. This was much higher compared to Kerala’s perinatal mortality rate of 10, the reason being that the study is conducted in a tertiary referral hospital with one of the best new born care nurseries and a large number of referrals. The most significant risk factors for perinatal mortality were low socio-economic status, referrals, late registration, prematurity, low birth weight, intra-uterine growth restriction, maternal diseases like gestational hypertension and gestational diabetes and intrapartum complications like abruption.Conclusions: Perinatal mortality rate serves as the most sensitive index of maternal and neonatal care. Good antenatal care and prevention of preterm birth may play a key role in further reduction of PMR.

scholarly journals Perinatal Mortality Analysis in Espírito Santo, Brazil, 2008 to 2017

2021 ◽  
Vol 18 (21) ◽  
pp. 11671
Author(s):  
Italla Maria Pinheiro Bezerra ◽  
José Lucas Souza Ramos ◽  
Micael Colodetti Pianissola ◽  
Fernando Adami ◽  
João Batista Francalino da Rocha ◽  
...  
Keyword(s):  
Time Series ◽  
Information System ◽  
Mortality Rate ◽  
Perinatal Mortality ◽  
Birth Asphyxia ◽  
Strong Positive Correlation ◽  
Significance Level ◽  
Espírito Santo ◽  
Perinatal Mortality Rate ◽  
Espirito Santo

This is an ecological and time-series study using secondary data on perinatal mortality and its components from 2008 to 2017 in Espírito Santo, Brazil. The data were collected from the Mortality Information System (SIM) and Live Births Information System (SINASC) of the Unified Health System Informatics Department (DATASUS) in June 2019. The perinatal mortality rate (×1000 total births) was calculated. Time series were constructed from the perinatal mortality rate for the regions and Espírito Santo. To analyze the trend, the Prais–Winsten model was used. From 2008 to 2017 there were 8132 perinatal deaths (4939 fetal and 3193 early neonatal) out of a total of 542,802 births, a perinatal mortality rate of 15.0/1000 total births. The fetal/early neonatal ratio was 1.5:1, with a strong positive correlation early neonatal mortality rate, perinatal mortality rate, r (9) = 0.8893, with a significance level of p = 0.000574. The presence of differences in trends by health region was observed. Risk factors that stood out were as follows: mother’s age ranging between 10 and 19 or 40 and 49 years old, with no education, a gestational age between 22 and 36 weeks, triple and double pregnancy, and a birth weight below 2499 g. Among the causes of death, 49.70% of deaths were concentrated in category of the tenth edition of the International Classification of Diseases, fetuses and newborns affected by maternal factors and complications of pregnancy, labor, and delivery (P00–P04), and 11.03% were in the category of intrauterine hypoxia and birth asphyxia (P20–P21), both related to proper care during pregnancy and childbirth. We observed a slow reduction in the perinatal mortality rate in the state of Espírito Santo from 2008 to 2017.

scholarly journals Analysis of The Fairness of Child Health Services In China 2010-2019

2021 ◽  
Author(s):  
Ji Wu ◽  
Hao-Nan Jin ◽  
Yi-Lei Lao ◽  
Xian-Guo Qu
Keyword(s):  
Mortality Rate ◽  
Child Health ◽  
Health Service ◽  
Health Services ◽  
Perinatal Mortality ◽  
Child Health Services ◽  
Child Health Service ◽  
Care Services ◽  
Perinatal Mortality Rate ◽  
Service Projects

Abstract Background: The imbalance of child health services caused by the huge income gap between urban and rural residents and uncoordinated regional development has become increasingly prominent. This article analyzes the basic situation and equity of child care services in China from 2010 to 2019.Methods: Evaluate the equity of child health services by concentration index.Results: From 2010 to 2019, neonatal visit rate and system management rate of under-three children in Chinese child health service projects showed an upward trend, and the perinatal mortality rate decreased. The perinatal mortality rate is the highest in the western region, and the level of child health services in the central region is lower than the national average, but the gap between regions has gradually decreased. Child health services concentrate in provinces with high economic levels, and the perinatal mortality rate is the most unfair. Conclusion: The decline in the mortality rate of under-five children is related to the improvement in the child health services. We should improve the health services of perinatal infants and pay attention to the health of children aged 1 to 4 years. The fairness of child health service is affected by the two-child policy. We should rationally allocate resources and strengthen support for the central and western regions.

scholarly journals FREQUENCY AND CAUSES OF PERINATAL MORTALITY IN A TERTIARY CARE HOSPITAL IN PESHAWAR, PAKISTAN

2018 ◽  
Vol 16 (1) ◽  
pp. 15-19
Author(s):  
Maimoona Qadir ◽  
Sohail Amir ◽  
Samina Jadoon ◽  
Muhammad Marwat
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
Tertiary Care Hospital ◽  
Tertiary Care ◽  
Age Groups ◽  
Mortality Data ◽  
Care Hospital ◽  
Cross Sectional ◽  
Medical Disorders ◽  
Perinatal Mortality Rate

Background: Perinatal mortality rate indicates quality of care provided during pregnancy and delivery to the mother and to the neonate in its early neonatal period. The objective of this study was to determine the frequency and causes of perinatal mortality in a tertiary care hospital in Peshawar, Pakistan. Materials & Methods: This cross-sectional study was conducted at Department of Gynaecology & Obstetrics, Khyber Teaching Hospital, Peshawar, Pakistan from 1st January 2016 to 31st December 2016. The inclusion criteria was all singleton gestation with gestational age of at least 24 weeks presenting with perinatal mortality. Data was collected for the following variables; age groups (up to 20 years, 21-30 years, 31-40 years and > 40 years), booking status (yes/ no), period of gestation (24-31+6, 32-36+6, 37-39+6 and > 40 weeks), Foetal weight ( 3.5 kg) and cause of perinatal mortality. Results: Out of 4508 deliveries there were 288 perinatal deaths, including 228 stillbirths and 60 neonatal deaths, so perinatal mortality rate was 63.8/1000 births. 90.28% women were unbooked. Most common cause was hypertensive disorders of pregnancy (27.78%) followed by antepartum haemorrhage (25.71%) and then mechanical causes (13.88%). Congenital anomalies comprised 11.8% cases, neonatal problems 10.07% and maternal medical disorders for 4.16% cases. Cause of 4.16% cases remained unexplained. Conclusion: Appropriate strategies like control of identifiable causes, proper antenatal and postnatal care, healthy delivery practices and availability of emergency neonatal care facilities can bring down perinatal mortality rates.

Regional obstetric monitoring in the Sverdlovsk region. Innovative tools for reduction of maternal and perinatal mortality rate

2016 ◽  
Vol 3 (1) ◽  
pp. 33-36
Author(s):  
Nikolay O. Ankudinov ◽  
S. G Ababkov ◽  
N. A Zil’ber ◽  
A. V Zhilin ◽  
A. V Kulikov
Keyword(s):  
Mortality Rate ◽  
Medical Care ◽  
Perinatal Mortality ◽  
Russian Federation ◽  
Automated System ◽  
Pregnancy And Childbirth ◽  
Emergency Situations ◽  
Pregnant Females ◽  
Perinatal Mortality Rate ◽  
The Russian Federation

According to the State program of the Russian Federation «Health care development» till 2020 approved by the decree of the Russian Federation government dated 24.12.2012 N 2511-p, the principle of the cluster approach became the one of the directions of informatization of healthcare. Subsystem perinatal cluster is the continuous monitoring of pregnant women. Its main advantage is the formation of a unified information space of the hospitals in the region that allows you to reliably group out pregnant females according to the risk of complications of pregnancy and childbirth, to determine the routing for all the patients. The goal of the system is a significant improvement of the assistance within a cluster (group), the formation of a standardized approach to the medical care, management of emergency situations in the occurrence of life-threatening conditions, the reduction of maternal and perinatal mortality rate. Computerization of medical care in obstetrics was implemented in the automated system «Program monitoring for pregnant females».

scholarly journals 1368 Perinatal Mortality Rate of SelCUK UNiversity Faculty of Medicin in Year of 2008

2012 ◽  
Vol 97 (Suppl 2) ◽  
pp. A389-A390
Author(s):  
H. Altunhan ◽  
A. Annagur ◽  
Y. Ozdemir ◽  
M. Konak ◽  
R. Ors
Keyword(s):  
Mortality Rate ◽  
Perinatal Mortality ◽  
University Faculty ◽  
Perinatal Mortality Rate
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