scholarly journals 1201 Have neonatal mortality rates in the state of Qatar become static? A PEARL study analysis

2012 ◽  
Vol 18 (12) ◽  
pp. 1201-1208
Author(s):  
S. Rahman ◽  
W. El Ansari ◽  
N. Nimeri ◽  
S. ElTinay ◽  
K. Salameh ◽  
...  
Keyword(s):  
Neonatal Mortality ◽  
Mortality Rates ◽  
The State ◽  
Study Analysis

scholarly journals Have neonatal mortality rates in the state of Qatar become static? A PEARL study analysis

2012 ◽  
Vol 18 (12) ◽  
pp. 1201-1208
Author(s):  
S. Rahman ◽  
W. El Ansari ◽  
N. Nimeri ◽  
S. ElTinay ◽  
K. Salameh ◽  
...  
Keyword(s):  
Neonatal Mortality ◽  
Mortality Rates ◽  
The State ◽  
Study Analysis

Obstetric determinants of neonatal mortality in the State of Qatar: A PEARL study analysis

2012 ◽  
pp. BMP46
Author(s):  
Sajjad ur Rahman ◽  
Halima Al-Tamimi ◽  
Emirah Tamano ◽  
Badreldeen Ahmed ◽  
Najat Mohsin ◽  
...  
Keyword(s):  
Neonatal Mortality ◽  
The State ◽  
Study Analysis

Sociodemographic determinants of neonatal mortality in the State of Qatar: A PEARL study analysis

2012 ◽  
pp. BMP36
Author(s):  
Sajjad ur Rahman ◽  
Nuha Nimeri ◽  
Sarrah El Tinay ◽  
Hilal Al Rifai ◽  
Walid El Ansari ◽  
...  
Keyword(s):  
Neonatal Mortality ◽  
The State ◽  
Study Analysis ◽  
Sociodemographic Determinants

Fetal and perinatal determinants of neonatal mortality in the State of Qatar: A PEARL study analysis

2012 ◽  
pp. BMP61
Author(s):  
Sajjad ur Rahman ◽  
Nuha Nimeri ◽  
Sarrah El Tinay ◽  
Hilal Al Rifai ◽  
Fahmi Omar ◽  
...  
Keyword(s):  
Neonatal Mortality ◽  
The State ◽  
Study Analysis

scholarly journals Neonatal mortality rates, characteristics, and risk factors for neonatal deaths in Ghana: analyses of data from two health and demographic surveillance systems

2021 ◽  
Vol 14 (1) ◽  
pp. 1938871
Author(s):  
Shadrach Dare ◽  
Abraham R. Oduro ◽  
Seth Owusu-Agyei ◽  
Daniel F. Mackay ◽  
Laurence Gruer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Neonatal Mortality ◽  
Mortality Rates ◽  
Surveillance Systems ◽  
Neonatal Deaths ◽  
Demographic Surveillance Systems

scholarly journals Determinants of neonatal, postneonatal and maternal mortality on models of primary health

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
A B Guerra ◽  
L M Guerra ◽  
L F Probst ◽  
B V Castro Gondinho ◽  
G M Bovi Ambrosano ◽  
...  
Keyword(s):  
Health Care ◽  
Infant Mortality ◽  
Maternal Mortality ◽  
Public Policies ◽  
Family Health ◽  
Mortality Rates ◽  
Sao Paulo ◽  
The State ◽  
Care Organization ◽  
São Paulo

Abstract Background The state of São Paulo recorded a significant reduction in infant mortality, but the desired reduction in maternal mortality was not achieved. Knowledge of the factors with impact on these indicators would be of help in formulating public policies. The aims of this study were to evaluate the relations between socioeconomic and demographic factors, health care model and both infant mortality and maternal mortality in the state of São Paulo, Brazil. Methods In this ecological study, data from national official open sources were used. Analyzed were 645 municipalities in the state of São Paulo, Brazil. For each municipality, the infant mortality and maternal mortality rates were calculated for every 1000 live births, 2013. The association between these rates, socioeconomic variables, demographic models and the primary care organization model in the municipality were verified. We used the zero-inflated negative binomial model. Gross analysis was performed and then multiple regression models were estimated. For associations, we adopted “p” at 5%. Results The increase in the HDI of the city and proportion of Family Health Care Strategy implemented were significantly associated with the reduction in both infant mortality (neonatal + post-neonatal) and maternal mortality rates. In turn, the increase in birth and caesarean delivery rates were associated with the increase in infant and maternal mortality rates. Conclusions It was concluded that the Family Health Care Strategy model that contributed to the reduction in infant (neonatal + post-neonatal) and maternal mortality rates, and so did actors such as HDI and cesarean section. Thus, public health managers should prefer this model. Key messages Implementation of public policies with specific focus on attenuating these factors and making it possible to optimize resources, and not interrupting the FHS. Knowledge of the factors with impact on these indicators would be of help in formulating public policies.

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