Influence of Health Service Infrastructure on the Infant Mortality Rate: An Econometric Analysis of Indian States

2018 ◽  
pp. 81-92
Author(s):  
C. Arun ◽  
Sangita Khare ◽  
Deepa Gupta ◽  
Amalendu Jyotishi
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Health Service ◽  
Econometric Analysis ◽  
Infant Mortality Rate ◽  
Indian States

scholarly journals Spatial econometric analysis of health services in Turkey through the perspective of the health development indicator

2021 ◽  
Vol 8 (4) ◽  
pp. 555-563
Author(s):  
Suna Tatlı
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Health Services ◽  
Spatial Relationship ◽  
Econometric Analysis ◽  
Infant Mortality Rate ◽  
Spatial Econometric ◽  
Health Development ◽  
Spatial Autoregressive ◽  
Spatial Econometric Analysis

Health-related parameters are critical as indicators of development, and as a result, governments allocate a sizable portion of their budgets to the health sector. The most fundamental variable considered an indicator of health development is the infant mortality rate, which was used as the dependent variable in this study. The data utilized in the study were compiled from the TURKSTAT web page and the TR Ministry of Health's health annuals, with the year 2019 serving as the reference point for access to all data. In the study, econometric analyses were performed while keeping the notion of contiguity in mind to reveal the factors healthily affecting the infant mortality rate at the NUTS 3 level, which encompasses all provinces in the TURKSTAT regional categorization. The distribution of infant mortality rates by provinces in Turkey was analyzed in this context, and it was discovered that there was a high degree of clustering between provinces. This clustering structure indicated the presence of a spatial relationship between provinces, and it was from this point of view that spatial econometric analysis of health services in Turkey was conducted. Analyzes were carried out using STATA and GeoDa package programs. The diagnostic tests revealed the presence of spatial autocorrelation, necessitating the employment of the spatial autoregressive model (SAR Model) to explain the relationship between the variables. As a result, it was concluded that both the variables included in the study and the infant mortality rate in nearby locations have an effect on the infant mortality rate for each province.

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.

POLITICIANS (AND, LET'S FACE IT, DOCTORS) LIKE A QUICK FIX

PEDIATRICS ◽  
1989 ◽  
Vol 83 (4) ◽  
pp. A78-A78
Author(s):  
Student
Keyword(s):  
Social Policy ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Service ◽  
Infant Mortality Rate ◽  
Economic Factors ◽  
Delayed Gratification ◽  
Dominant Effect ◽  
Rate Analysis ◽  
History Of

There is. . .a persisting paradox throughout the recent history of infant mortality rate analysis: the dominant effect exerted by social and economic factors continue to intrude, yet so often health service solutions to the problems are sought. Further significant improvements in infant mortality will be largely determined by social policy; the pity is that any such changes in policy will exert their effect slowly, making evaluation difficult. In sociological terms it is delayed gratification—a concept of little appeal to politicians.

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.

scholarly journals The Role of Place of Delivery in Preventing Neonatal and Infant Mortality Rate in India

Geographies ◽  
2021 ◽  
Vol 1 (1) ◽  
pp. 47-62
Author(s):  
Ujjwal Das ◽  
Barkha Chaplot ◽  
Hazi Mohammad Azamathulla
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Public Hospitals ◽  
Infant Mortality Rate ◽  
Private Institutions ◽  
Public And Private ◽  
Place Of Delivery ◽  
At Home

Skilled birth attendance and institutional delivery have been advocated for reducing maternal, neonatal mortality and infant mortality (NMR and IMR). This paper examines the role of place of delivery with respect to neo-natal and infant mortality in India using four rounds of the Indian National Family Health Survey conducted in 2015–2016. The place of birth has been categorized as “at home” or “public and private institution.” The role of place of delivery on neo-natal and infant mortality was examined by using multivariate hazard regression models adjusted for clus-tering and relevant maternal, socio-economic, pregnancy and new-born characteristics. There were 141,028 deliveries recorded in public institutions and 54,338 in private institutions. The esti-mated neonatal mortality rate in public and private institutions during this period was 27 and 26 per 1000 live births respectively. The study shows that when the mother delivers child at home, the chances of neonatal mortality risks are higher than the mortality among children born at the health facility centers. Regression analysis also indicates that a professionally qualified provider′s antenatal treatment and assistance greatly decreases the risks of neonatal mortality. The results of the study illustrate the importance of the provision of institutional facilities and proper pregnancy in the prevention of neonatal and infant deaths. To improve the quality of care during and imme-diately after delivery in health facilities, particularly in public hospitals and in rural areas, accel-erated strengthening is required.

Sign in / Sign up

Export Citation Format

Share Document