scholarly journals Validity of the Spanish surname infant mortality rate as a health status indicator for the Mexican American population.

1984 ◽  
Vol 74 (9) ◽  
pp. 998-1002 ◽  
Author(s):  
M L Selby ◽  
E S Lee ◽  
D M Tuttle ◽  
H D Loe
Keyword(s):  
Health Status ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Mexican American ◽  
Infant Mortality Rate ◽  
American Population ◽  
Status Indicator ◽  
Health Status Indicator ◽  
Mexican American Population

scholarly journals Socioeconomic Determinants of Infant Mortality Rate in Asean: A Panel Data Analysis

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Vita Kartika Sari ◽  
Dwi Prasetyani
Keyword(s):  
Health Status ◽  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Strong Influence ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Gdp Per Capita ◽  
Per Capita

The infant mortality rate indicates the health status of a country. Previous studies have proven that socioeconomic factors have a significant influence on infant mortality rates in both developed and developing countries. Further studies on infant mortality rates are useful for public service strategic policy in the health sector. The main purpose of this study was to analyze the socioeconomic factors influencing infant mortality rates in ASEAN based on panel data estimates for 2000-2017. The dependent variable for this study was infant mortality rate, while the independent variables were health expenditure, female labor force, maternal fertility rate, and GDP per capita. The authors concluded that the main cause of infant mortality in ASEAN is care during delivery. Other influencing factors include family health status, maternal education level, and socio-economic inequality. This study found that the size of the female workforce has a strong influence on increasing the infant mortality rate in ASEAN. The fertility rate also had a strong influence on increasing infant mortality rate in ASEAN, while GDP per capita had a negative influence on infant mortality rate.  Health expenditure is proven to have no effect on the increase of infant mortality rates in ASEAN.

Analysis of Infant Mortality Rate in Indian States

2017 ◽  
Vol 19 (2) ◽  
pp. 334-339
Author(s):  
Pragati Jain ◽  
Prerna Jain
Keyword(s):  
Health Status ◽  
Mortality Rate ◽  
Infant Mortality ◽  
State Level ◽  
Health Indicators ◽  
Rate Of Change ◽  
Infant Mortality Rate ◽  
Indian States ◽  
The Status ◽  
The Government

The aim of this research is to explore the status of infant mortality at the state level, rate of change over the study period (1981–2011) and regional variation in infant mortality rate (IMR) and present a case as to how health status can be improved through targeting goals as in the case of IMR by the health planners and policymakers. The achievement of each of the 15 states on the basis of IMR is examined on the basis of divergence reduction. Sigma and beta absolute convergence measures used to determine the nature of change in the degree of regional inequality in IMR show positive results in achieving regional convergence. This confirms that the government policy and programmes to control and reduce IMR have been successful. IMR is frequently questioned as a measure of health status as infant mortality turns out to be the main focus of health policy; however, the entire population’s health possibly will be ignored in achieving the policy targets. However, the brighter side to it is that the entire gamut of health indicators can be targeted in a phased manner to achieve the overall improvement in the health status.

Health Status, Government Health Expenditure and Economic Growth Nexus in India: A Toda–Yamamoto Causality Approach

2020 ◽  
pp. 097674792096340
Author(s):  
Avinash Kaur
Keyword(s):  
Economic Growth ◽  
Health Status ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Health Expenditure ◽  
Infant Mortality Rate ◽  
Government Health ◽  
The Government ◽  
Government Health Expenditure

This article attempts to examine the causal linkage among government health expenditure, health status and economic growth in India for the period from 1981–1982 to 2015–2016. The results of Johansen co-integration test indicate that government health expenditure, health status and economic growth have long-run relationship in India. The results of Toda–Yamamoto causality test showed that there existed unidirectional causal relationship running from government health expenditure to gross domestic product—GDP (economic growth); GDP (economic growth) to life expectancy; government health expenditure to infant mortality rate and infant mortality rate to life expectancy. On the other hand, there is no evidence showing causality in any direction between infant mortality rate to GDP (economic growth) and government health expenditure to life expectancy. The study strongly confirmed that the government health expenditure has an effect on GDP (economic growth) and infant mortality rate (which depicts health status) in India. The health outcomes, namely life expectancy and infant mortality rare, reveal unidirectional causality between them. Therefore, the study concludes that policymakers and the government should pay proper attention to the health sector in order to ultimately achieve economic growth in the country.

scholarly journals Effect of public health expenditure on health status in Ghana

2016 ◽  
Vol 4 (1) ◽  
pp. 6 ◽  
Author(s):  
Micheal Kofi Boachie ◽  
K. Ramu
Keyword(s):  
Public Health ◽  
Health Status ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Capita Income ◽  
Health Expenditure ◽  
Infant Mortality Rate ◽  
Per Capita Income ◽  
Public Health Expenditure ◽  
Per Capita

<p>Health is an outcome indicator of economic growth and development of a country. Healthcare is a major factor for health status. In this regard, healthcare expenditure is a vital input for the health production function. In this context, this study examined the effect of public health expenditure on health status in Ghana. Annual time-series data on infant mortality rate, real per capita income, literacy levels and female labour force participation rate for the period 1990-2012 have been used. Infant mortality rate was used as the output variable. To test the relationship between input-output variables, Ordinary Least Squares and Newey-West regression techniques were used. The   regression estimates suggest that real per capita income, public health expenditure, education and female presence in the labour market were negatively related to infant mortality rate. However, the elasticity coefficients of female participation in the labour market and real per capita income were statistically insignificant at 5% level. This study concludes that public health expenditure and literacy/education improve health status by reducing infant mortality. The favourable effect of education or literacy on health is greater than that of public health spending whereas the effect of real per capita come on health was found to be weak. The findings provide the impetus for government to raise literacy level and its health spending in the country to promote health.</p>

Perbandingan Linieritas Dalam Pendeteksian Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Aceh

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Health Workers ◽  
Additive Model ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Penalized Spline ◽  
Aceh Province

Angka Kematian Bayi/ Infant Mortality Rate (IMR) merupakan indikator penting dalam mengukur keberhasilan pengembangan kesehatan. Nilai IMR juga dapat digunakan untuk mengetahui tingkat kesehatan ibu, kondisi kesehatan lingkungan dan secara umum, tingkat pengembangan sosio-ekonomi masyarakat. Penelitian ini bertujuan untuk memperoleh model IMR terbaik menggunakan tiga pendekatan: Model Linear, Model Linear Tergeneralisir dan Model Aditif Tergeneralisir dengan basis P-spline. Sebagai tambahan, berdasarkan model tersebut akan terlihat variabel yang mempengaruhi tingkat kematian bayi di provinsi Aceh. Penelitian ini menggunakan data jumlah kematian bayi di tahun 2013-2015. Data dalam penelitian ini diperoleh dari Profil Kesehatan Aceh. Hasil menunjukkan bahwa model terbaik dalam menjelaskan angka kematian bayi di provinsi Aceh tahun 2013-2015 ialah Model Linear Tergeneralisir dengan basis P-spline menggunakan parameter penghalusan 100 dan titik knots 8. Faktor yang sangat mempengaruhi angka kematian ialah jumlah pekerja yang sehat.   Infant mortality rate (IMR) is an important indicator in measuring the success of health development. IMR also can be used to knowing the level of maternal health, environmental health conditions and generally the level of socio-economic development in community. This research aims to get the best model of infant mortality data using three approaches: Linear Model, Generalized Linear Model and Generalized Additive Model with Penalized Spline (P-spline) base. In addition, based on the model can be seen the variables that affect to infant mortality in Aceh Province. This research uses data number of infant mortality in Aceh Province period 2013-2015. The data in this research were obtained from Aceh’s Health Profile. The results show that the best model can be explain infant mortality rate in Aceh Province period 2013-2015 is GAM model with P-spline base using smoothing parameter 100 and knots 8. Factor that high effect to infant mortality is number of health workers.

Empirical analysis of factors influencing the public health expenditure in Malaysia

2018 ◽  
Vol 6 (3) ◽  
pp. 1
Author(s):  
Kok Wooi Yap ◽  
Doris Padmini Selvaratnam
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Price Index ◽  
Infant Mortality Rate ◽  
Public Health Expenditure ◽  
The Public ◽  
Empirical Results ◽  
Per Capita

This study aims to investigate the determinants of public health expenditure in Malaysia. An Autoregressive Distributed Lag (ARDL) approach proposed by Pesaran & Shin (1999) and Pesaran et al. (2001) is applied to analyse annual time series data during the period from 1970 to 2017. The study focused on four explanatory variables, namely per capita gross domestic product (GDP), healthcare price index, population aged 65 years and above, as well as infant mortality rate. The bounds test results showed that the public health expenditure and its determinants are cointegrated. The empirical results revealed that the elasticity of government health expenditure with respect to national income is less than unity, indicating that public health expenditure in Malaysia is a necessity good and thus the Wagner’s law does not exist to explain the relationship between public health expenditure and economic growth in Malaysia. In the long run, per capita GDP, healthcare price index, population aged more than 65 years, and infant mortality rate are the important variables in explaining the behaviour of public health expenditure in Malaysia. The empirical results also prove that infant mortality rate is significant in influencing public health spending in the short run. It is noted that macroeconomic and health status factors assume an important role in determining the public health expenditure in Malaysia and thus government policies and strategies should be made by taking into account of these aspects.

Measuring Effectiveness Of Economic Growth On Reducing Infant Mortality Rate In Tamilnadu

2019 ◽  
Vol 118 (4) ◽  
pp. 129-141
Author(s):  
Mr. Y. EBENEZER
Keyword(s):  
Economic Growth ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Negative Relationship ◽  
Infant Mortality Rate ◽  
Domestic Product ◽  
Per Capita ◽  
The Impact ◽  
Adf Test ◽  
Bound Test

                   This paper deals with economic growth and infant mortality rate in Tamilnadu. The objects of this paper are to test the relationship between Per capita Net State Domestic Product and infant mortality rate and also to measure the impact of Per capita Net State Domestic Product on infant mortality rate in Tamil Nadu. This analysis has employed the ADF test and ARDL approach. The result of the study shows that IMR got reduced and Per capita Net State Domestic Product increased during the study period. This analysis also revealed that there is a negative relationship between IMR and the economic growth of Tamilnadu. In addition, ARDL bound test result has concluded that per capita Net State Domestic Product of Tamilnadu has long run association with IMR.

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