scholarly journals MEDICO-SOCIAL ASSESSMENT OF REASONS AND RISK FACTORS OF INFANT MORTALITY RATE (ON THE EXAMPLE OF THE OMSK REGION)

Author(s):  
Olesya G. Bogza ◽  
O. P. Goleva

The index of the infant mortality rate (IMR) is the integrated index of the quality of life, social and economic wellbeing of the society. In the Omsk region over the period of 2004-2013 there was noted the decline of IMR index by 34,5%. In 2012 there was recorded the specific gain of IMR by 38,9% in comparison with 2011 caused by the transition to new criteria of live birth. For the purpose of the study of medico-social factors of risk for the infant mortality occurrence in the Omsk region the factorial analysis was executed. The sample volume for the studied and control group accounted of 225 observations respectively. The performed factorial analysis allowed to reveal eight medico-social factors of risk for infant mortality. In a total generality of factors the greatest contribution is made by a neonatal factor (22,0%), on the second place there are medical factors (12,5%), the third place is taken by an obstetric factor (10,8%). Results of research of the signs filling factors allowed to develop a number of the organizational actions directed on the decrease in IMR.

Populasi ◽  
2016 ◽  
Vol 3 (2) ◽  
Author(s):  
Kasto Kasto

This study tries to investigate the infant mortality rate and life expectancy based on the 1990 Population Census, and to observe its variations among provinces that take place in the urban as well as in the rural areas of Indonesia. As a whole, the estimate of infant mortality rate and the expectation of life based on the 1990 Population Census is 69 per one thousand life births and 60 years for both urban and rural areas. The variation in the rural areas is larger than in the urban regions.During the period from 1980 to 1990 the infant mortality rate in Indonesia decreased by 4.29 percent annually. If this rate continued to increase till the end of 2000, the infant mortality rate by this time would be 45 per one thousand life births, whereas the expectation of life at birth would become 68 years.Many determinants of infant mortality rates should be taken into account to reduce the figures, particularly the coverage and the quality of the public health service which directly influences the child survival, as well as other determinants which indirectly,yet simultaneously, influence it.


2020 ◽  
Vol 9 (2) ◽  
pp. 1415-1421
Author(s):  
Muhasshanah Muhasshanah ◽  
Neny Yuli Susanti

MTBS is one of the government’s efforts to reduce infant mortality rate. Most of sick toddler cases found in Situbondo regency are dealing with dengue fever and pneumonia, especially in Banyuputih Public Health Center area. One of the approaches to reduce the infant mortality rate is to consistently fill the MTBS format. However, due to limited manpower and the workload, medical personnel especially midwife could not optimally fill out the MTBS, so that toddler diseases could not be detected early. It is because the filling format and the reporting system of MTBS are not user friendly. The objective of this research is to develop MTBS implementation by using Information Technology System, in order to increase the quality of midwife service in giving midwifery care and reduce the infant mortality rate in Banyuputih Public Health Center area. This research generated a product in the form of information system called e-MTBS


2017 ◽  
Vol 4 (2) ◽  
pp. 151
Author(s):  
Bettis Wijayanti

 Infant Mortality Rate in Lumajang was always higher than the infant mortality rate in East Java Province. Ranuyoso is a region with the highest infant mortality rate and AKABA in 2013 and 2014, with 33 and 22 deaths. The Government had implemented a program to improve the health and the consolidation scope is monitored by the Pemantauan Wilayah Setempat Kesehatan Ibu dan Anak (PWS KIA). PWS KIA had not been going well according to its purpose as a tool for monitoring the KIA service coverage to increase the range and quality of KIA services. The purpose of this research was to describe the implementation of PWS KIA for indicators of child in Health Center of Ranuyoso which based on attributes of simplicity, acceptability, sensitivity, representativeness, data quality, timeliness and stability. This research used descriptive method evaluative with coordinator midwife, midwives health center and eight village midwives as the respondent. Description based on the attributes of surveillance system showed that PWS KIA indicator of child in Health Center of Ranuyoso was not simple, sensitive but not supported well by the midwives, the data were less quality, not timely and unstable. Alternative solutions to problems that had been found were to performing the advanced analysis to determine the causality amount variables by midwives, holding routine supervision from the senior midwives, procurement of SOP or guidebook for midwives, and computerizing the recording until reporting start from village midwives, also the making of the attendance and expeditions book to record the reporting date of midwives. Keywords: MCTS, attributes surveillance, child health monitoring


2019 ◽  
Vol 24 (1) ◽  
pp. 56-65 ◽  
Author(s):  
Ashutosh Pandey ◽  
Arvind Mohan

Purpose The purpose of this paper is to assess the role of National Rural Health Mission (NRHM) in reducing Infant Mortality in India. The study will help the government in deciding its future course of action regarding the infant mortality rate (IMR) reduction in India. Design/methodology/approach This paper adopts the interrupted time series analysis (ITSA) approach with a control group to study the role of NRHM in reducing the IMR in India. The authors examined infant mortality in rural areas of India for the level and trend change before and after the implementation of NRHM. The authors then applied a suitable ARMA model to estimate the coefficients of the regression model. From the estimated results, the study predicts the counterfactuals for both the rural IMR and urban IMR and plots the results. Findings The study found the evidence supporting the hypotheses that the NRHM has led to a reduction in the difference between urban IMR and rural IMR. The research shows that the rural IMR declined at steeper rates in the post-NRHM period (2005–2015). Originality/value None of the existing studies analyses the impact of a social scheme like NRHM on the reduction of IMR in India by applying the ITSA. The study is unique as it estimates the counterfactuals and plots the results which show the impact of NRHM on reducing IMR.


2019 ◽  
Vol 1 (2) ◽  
pp. 1-9
Author(s):  
DAWOOD MAMOON ◽  
SIDRA RAZA ◽  
NOMAN ARSHED

Economies with large labor population and labor oriented production face problems of quality of labor provided. This quality can be divided into two components; one the skill component and other the health component. The purpose of the paper is to identify the root causes of low health standards in the working population. The district wise data of Punjab (Pakistan), revealed that fertility rate, number of hospitals, literacy rate, and proxy income are the major determinants that can reduce Infant Mortality Rate, and the time being dummy variable in GMM model indicated the health standard to be depreciated in 2011 as compared to 2004


2017 ◽  
Vol 4 (2) ◽  
pp. 151
Author(s):  
Bettis Wijayanti

 Infant Mortality Rate in Lumajang was always higher than the infant mortality rate in East Java Province. Ranuyoso is a region with the highest infant mortality rate and AKABA in 2013 and 2014, with 33 and 22 deaths. The Government had implemented a program to improve the health and the consolidation scope is monitored by the Pemantauan Wilayah Setempat Kesehatan Ibu dan Anak (PWS KIA). PWS KIA had not been going well according to its purpose as a tool for monitoring the KIA service coverage to increase the range and quality of KIA services. The purpose of this research was to describe the implementation of PWS KIA for indicators of child in Health Center of Ranuyoso which based on attributes of simplicity, acceptability, sensitivity, representativeness, data quality, timeliness and stability. This research used descriptive method evaluative with coordinator midwife, midwives health center and eight village midwives as the respondent. Description based on the attributes of surveillance system showed that PWS KIA indicator of child in Health Center of Ranuyoso was not simple, sensitive but not supported well by the midwives, the data were less quality, not timely and unstable. Alternative solutions to problems that had been found were to performing the advanced analysis to determine the causality amount variables by midwives, holding routine supervision from the senior midwives, procurement of SOP or guidebook for midwives, and computerizing the recording until reporting start from village midwives, also the making of the attendance and expeditions book to record the reporting date of midwives. Keywords: MCTS, attributes surveillance, child health monitoring


2017 ◽  
Vol 51 (0) ◽  
Author(s):  
Caroline Gava ◽  
Andrey Moreira Cardoso ◽  
Paulo Cesar Basta

ABSTRACT OBJECTIVE To analyze the quality of records for live births and infant deaths and to estimate the infant mortality rate for skin color or race, in order to explore possible racial inequalities in health. METHODS Descriptive study that analyzed the quality of records of the Live Births Information System and Mortality Information System in Rondônia, Brazilian Amazonian, between 2006-2009. The infant mortality rates were estimated for skin color or race with the direct method and corrected by: (1) proportional distribution of deaths with missing data related to skin color or race; and (2) application of correction factors. We also calculated proportional mortality by causes and age groups. RESULTS The capture of live births and deaths improved in relation to 2006-2007, which required lower correction factors to estimate infant mortality rate. The risk of death of indigenous infant (31.3/1,000 live births) was higher than that noted for the other skin color or race groups, exceeding by 60% the infant mortality rate in Rondônia (19.9/1,000 live births). Black children had the highest neonatal infant mortality rate, while the indigenous had the highest post-neonatal infant mortality rate. Among the indigenous deaths, 15.2% were due to ill-defined causes, while the other groups did not exceed 5.4%. The proportional infant mortality due to infectious and parasitic diseases was higher among indigenous children (12.1%), while among black children it occurred due to external causes (8.7%). CONCLUSIONS Expressive inequalities in infant mortality were noted between skin color or race categories, more unfavorable for indigenous infants. Correction factors proposed in the literature lack to consider differences in underreporting of deaths for skin color or race. The specific correction among the color or race categories would likely result in exacerbation of the observed inequalities.


Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin

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.


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