scholarly journals The Level Efficiency of Health Spending in East Java Province

JEJAK ◽  
2019 ◽  
Vol 12 (2) ◽  
pp. 327-344
Author(s):  
Eli Masfufah ◽  
Yozi Aulia Rahman
Keyword(s):  
Mortality Rate ◽  
Technical Efficiency ◽  
Health Spending ◽  
Secondary Data ◽  
Medical Personnel ◽  
Infant Mortality Rate ◽  
Morbidity Rate ◽  
Improvement Strategy ◽  
Potential Improvement ◽  
Technical Cost

This study aims to determine and analyze the level of technical cost efficiency, technical systems and improvement strategies that need to be done for inefficient areas in 30 districts / cities in East Java Province. This study uses secondary data from 30 districts / cities in East Java Province. The variables used include APBD expenditure variables according to health function as input, variable total of puskesmas, posyandu, puskesmas medical personnel, and government hospitals as intermediate outputs, as well as  life expectancy, Maternal Mortality Rate (MMR),  Infant Mortality Rate (IMR), and Morbidity Rate variables as outcomes. The research method uses Data Envelopment Analysis (DEA) with the assumption of Variable Return to Scale (VRS) and input-oriented. The results obtained on average technical efficiency costs during 2012-2016 were only 26.67%, while for technical efficiency the system reached 53.34% which was already efficient so that there were indications of waste in the allocation of health spending and an improvement strategy based on potential improvement for the regions was needed. which is still inefficient so that the proportion of inputs and outputs can be efficient according to the needs in each of these regions.

scholarly journals ANALYSIS OF FACTOR AFFECTING INFANT MORTALITY RATE (IMR) IN EAST JAVA USING MULTIPLE LINEAR REGRESSION

2020 ◽  
Vol 9 (1) ◽  
pp. 69
Author(s):  
Weike Retno Palupi ◽  
Lailatul Khusnul Rizki
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Secondary Data ◽  
Medical Personnel ◽  
Equation Model ◽  
Infant Mortality Rate ◽  
P Value ◽  
The Government

Infant Mortality Rate (IMR) is one of the important indicators in public health. Indonesia still has a relatively high IMR compared to the neighboring countries. Based on the Indonesian Demographic Health Survey (IDHS) in 2012, IMR in East Java reached 25.50 deaths per 1000 births. IMR decline occurred during 2012 to 2015. Achievement depends on the factors that influence it. This study aims to create a model of IMR based on maternal and external factors in East Java. The method used was a non-reactive study using 38 districts/cities as sample units in East Java, which came from Central Bureau of Statistics secondary data in 2015. Statistical analysis used multiple linear regression. The results showed the independent variables together affected the IMR (p-value = 0,000 <0.05), but partially influenced by the age of the first married mother (p-value = 0,000 <0.05) and the helper delivery of non-medical personnel (p-value = 0.014 <0.05). The conclusion of this study is the regression equation model for IMR in East Java in 2015, which is IMR = 1,064 + 1,319 * (age of first marriage) + 0.439 * (helper of non-medical births). Suggestions for the Government of East Java Province to implement strategies so that infant mortality cases can be reduced.

Determinants of Infant Mortality Rate in Malaysia: Evidence from Dynamic Panel Data Study

2019 ◽  
Vol 21 (4) ◽  
pp. 443-450
Author(s):  
Chor Foon Tang
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Spending ◽  
Mortality Rates ◽  
Dynamic Panel Data ◽  
Infant Mortality Rate ◽  
Female Education ◽  
Dynamic Panel ◽  
Governance Quality

Understanding the factors associated with the infant mortality rate is essential as it may guide policymaking in efforts to alleviate the high incidence of infant mortality. The aim of this study is to explore the major determinants of the infant mortality rate with specific focus accorded to research and development (R&D) and governance quality. Our analysis utilizes unbalanced panel data from 122 countries from 2001 to 2013. Using the dynamic panel data generalized method of moments (GMM) estimator, we find that income, health spending, female education, technological progress and governance quality have significant negative impact on infant mortality rates. It can thus be surmised that policies to reduce infant mortality rates should focus upon improving the level of income, female education, health spending and governance quality, besides encouraging R&D activities.

scholarly journals THE The Application Of E-MTBS To Increase The Quality Of Midwife Service In Giving Midwifery Care For Under Five Years Old Toddler

2020 ◽  
Vol 9 (2) ◽  
pp. 1415-1421
Author(s):  
Muhasshanah Muhasshanah ◽  
Neny Yuli Susanti
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Center ◽  
Medical Personnel ◽  
Infant Mortality Rate ◽  
Midwifery Care ◽  
Public Health Center ◽  
Center Area

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

scholarly journals Analisis Angka Harapan Hidup di Jawa Timur Tahun 2015

2018 ◽  
Vol 6 (1) ◽  
pp. 17
Author(s):  
Lina Septi Danasari ◽  
Arief Wibowo
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Life Expectancy ◽  
Secondary Data ◽  
Infant Mortality Rate ◽  
North Coast ◽  
Health Improvement ◽  
Central Java ◽  
The Government

Life expectancy is one of the indicators to calculate the Human Development Index (HDI) which determined by infants’ health, toddlers’ health, frequency of liveborn children and death rate in the community. East Java Province has four dominant cultural areas such as Mataraman including the western part of the border of Central Java to Kediri, Madura including Bangkalan to Pamekasan, Arek including north coast of Surabaya to Malang and Tapal Kuda including Pasuruan, Probolinggo, Situbondo, Bondowoso, Lumajang and Jember. Those four cultural areas have different characteristic that can affect public health status especially life expectancy in East Java Province. The analysis aimed to know the correlation between infant mortality rate and life expectancy and to know the differences of life expectancy among four cultural areas in East Java year 2015. This analysis used secondary data obtained from Central Bureau of Statistic of East Java on May, 2017. The data were life expectancy as dependent variable, infant mortality rate as independent variable and cultural areas in East Java as grouping variables. The result showed that there was correlation between infant mortality rate with life expectancy (p=0.000) and there was different in life expectancy among four cultural areas in East Java year 2015 (p=0.000) such as cultural areas Mataraman-Madura, Mataraman-Tapal Kuda and Arek-Tapal Kuda. It suggested the government to continue improving the socio-economic welfare of the community and public health improvement in the Tapal Kuda area which had high infant mortality rate and low life expectancy.

scholarly journals Trends in Infant mortality rate and mortality for neonates born at less than 32 weeks and with very low birth weight

2011 ◽  
Vol 19 (4) ◽  
pp. 977-984 ◽  
Author(s):  
René Mauricio Barría-Pailaquilén ◽  
Yessy Mendoza-Maldonado ◽  
Yohana Urrutia-Toro ◽  
Cristian Castro-Mora ◽  
Gema Santander-Manríquez
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Low Birth Weight ◽  
Causes Of Death ◽  
Very Low Birth Weight ◽  
Secondary Data ◽  
Mortality Rates ◽  
Infant Mortality Rate ◽  
Year 2000

The aim of the study was to assess the trend of the infant mortality rate between 1990-2004 and the neonatal mortality between 2000-2005 in infants born at less than 32 weeks of gestational age or with very low birth-weight. Based on secondary data, infant mortality rate and by its component for Valdivia city were compared with national indicators. Mortality at <32 weeks and <1500g was calculated, establishing causes of death and evaluating its relation with specific interventions, such as the use of surfactant and antenatal corticoids. Since the year 2000, infant mortality rates have stopped their decrease in comparison to the preceding decade and the gap between national and local rates before 2000 was drastically reduced. Mortality at <32 weeks and <1500g varied between 88‰ and 200‰ of liveborns, emphasizing respiratory distress as the main cause of death. The use of corticoids and surfactant was in line with reductions in mortality rates.

scholarly journals Profile of sever acute malnutrition children admitted at nutritional rehabilitation centre at tertiary care treatment centre of Gujarat

2020 ◽  
Vol 7 (9) ◽  
pp. 1894
Author(s):  
Nisha Prajapati ◽  
Seema Shah
Keyword(s):  
Mortality Rate ◽  
Tertiary Care ◽  
Secondary Data ◽  
Infant Mortality Rate ◽  
Acute Malnutrition ◽  
Response To Treatment ◽  
Age Group ◽  
Rehabilitation Centre ◽  
Treatment Centre ◽  
One Year

Background: Sever acute malnutrition (SAM) may be major obstacle for India to achieve targeted Infant Mortality Rate and under five mortality rate. Malnutrition and infection form vicious cycle and contributes towards mortality. So, malnutrition prevention is major objective of government. Study of malnourished children helps to know aetiology and their response to treatment. The objective of study is to understand clinic-demographic profile of SAM children.Methods: It is retrospective secondary data analysis study. For the purpose of this analysis, we retrieved the data of all children with SAM admitted from 1 January, 2018 to 31 December, 2018 to NRC. At the NRC, a physician conducted a clinical examination in children to detect the presence/absence of medical complications during their admission and these data were available in case sheet.Results: A total of 162 children, aged 6-59 months were referred to the NRC. Around fourty seven percentage of children were in age group 6–12 months Majority of children were in age group of 7 months to one year of age. Majority of children were admitted based on weight of height criteria (Z score < 3SD). Mean admission weight is lower in female compare to male children.Conclusions: Faulty weaning practises and delay in weaning in some cases predisposes later half of infancy period to undernutrition. So, proper health education and good IYCF practices prevent children from undernutrition.

scholarly journals Hubungan Paritas Dengan Berat Badan Lahir Rendah (BBLR)

2021 ◽  
Vol 1 (1) ◽  
pp. 49
Author(s):  
Elis Fatmawati ◽  
Dwi Retno Wati
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Low Birth Weight ◽  
Statistical Tests ◽  
Secondary Data ◽  
Sampling Technique ◽  
Infant Mortality Rate ◽  
Determining Factors ◽  
Analytical Research

One of the indicators that determine a country's health status is the high and low number of the Infant Mortality Rate (IMR). Meanwhile, the incidence of Low Birth Weight (LBW) is one of the main determining factors that contribute to the Infant Mortality Rate (IMR). Many factors cause an increase in the number of IMR, one of which is parity. This study aims to determine the relationship between parity and low birth weight (LBW) in Cendrawasih Dobo Hospital, Aru Islands Regency.This study uses analytical research with a "retrospective" research design. The dependent variable is parity and the independent variable is LBW. The population in this study were all mothers who had LBW in Cendrawasih Dobo Hospital, Aru Islands Regency in 2020 as many as 42 mothers with LBW babies. Sampling using a total sampling technique. The study was conducted from July 1 to August 31, 2020, using secondary data, and analyzed using the Spearman Ranks statistical test.The results showed that almost half of the primiparous mothers gave birth to LBW babies, namely 15 babies (35.7%) and most of the multipara mothers gave birth to 22 LBW babies (52.4%). Based on the results of statistical tests using Spearman Rho with = 0.05) the value of count (0.470) > r table (0.257) then H1 is accepted, H0 is rejected, this means that there is a parity relationship with low birth weight (LBW).There were that not only high parity has the potential for LBW births, but even low parity has the potential to occur LBW births considering that there are many factors that can influence it, not only in terms of maternal parity. Health agencies can make efforts to prevent the occurrence of LBW by improving the quality of health services.

EFEKTIFITAS KONSELING LAKTASI PADA IBU HAMIL TRIMESTER III TERHADAP PELAKSANAAN MENYUSUI

2019 ◽  
Vol 11 (1) ◽  
pp. 41-50
Author(s):  
Heni Purwaningsih ◽  
Umi Aniroh ◽  
Eko Mardiyaningsih
Keyword(s):  
Mortality Rate ◽  
Pregnant Women ◽  
Body Position ◽  
Development Program ◽  
Optimal Growth ◽  
Infant Mortality Rate ◽  
P Value ◽  
Time Data ◽  
Emotional Bonding ◽  
Post Test

Program pembangunan kesehatan di Indonesia masih berfokus pada upaya peningkatan derajat kesehatan ibu dan anak terutama pada masa prenatal. Hal ini disebabkan masih tingginya Angka Kematian Ibu (AKI) dan Angka Kematian Bayi (AKB). ASI yang diberikan sejak usia dini dan dilanjutkan dengan ASI eksklusif selama 6 bulan dapat menurunkan angka kesakitan dan angka kematian bayi serta meningkatkan tumbuh kembang bayi secara optimal.  Penelitian ini bertujuan untuk mengetahui efektifitas pemberian konseling laktasi terhadap pelaksanaan menyusui pada ibu hamil trimester III. Desain penelitian menggunakan quasi eksperimen dengan rancangan One Group Pre-test dan  Post-test Desain. Populasi dalam penelitian ini adalah ibu hamil trimester III dan sampel yang diambil adalah 18 ibu hamil. Alat penggumpulan data menggunakan lembar observasi BREAST (body position, respons, emotional bonding, anatomy dan sucking time). Analisis data menggunakan wilcoxon.Hasil penelitian didapatkan pelaksanaan menyusui sebelum dilakukan konseling laktasi dalam kategori kurang (72,2%) sedangkan pelaksanaan menyusui setelah dilakukan konseling laktasi (77,8%) dalam kategori baik. Konseling laktasi efektif dilakukan untuk meningkatkan pelaksanaan menyusui denganp-value 0,003 (p<0,005).Konseling laktasi seharusnya diberikan pada masa prenatal sehingga pada saat postpartum, ibu sudah mampu memberikan asi secara maksimal. Pendampingan terhadap ibu hamil juga berperan dalam pelaksanaan pemberian ASI.   Kata kunci : Konseling laktasi, ASI, pelaksanaan menyusui   THE EFFECTIVENESS OF LACTATION COUNSELING IN THE 3rd TRIMESTER PREGNANT WOMEN ON BREASTFEEDING IMPLEMENTATION   ABSTRACT Indonesia's health development program still focuses on improving mother and child health, especially at the prenatal stage. It is due to the high maternal mortality rate (MMR) and Infant Mortality Rate (IMR). Breastmilk given from an early age and continued with exclusive breastfeeding for six months can reduce infants morbidity and mortality rate and increase their optimal growth. The purpose is to investigate the effectiveness of lactation counseling to the implementation of breastfeeding in third-trimester. The study design used quasi experiments with one group pre-test and post-test. Population was the 3rd-trimester pregnant mothers, and the samples were 18 mothers. The data collection tool used BREAST observation sheets (body position, response, emotional bonding, anatomy and sucking time). Data analysis used Wilcoxon. The result of the research shows that breastfeeding before lactation counseling is in less category (72,2%) while breastfeeding after lactation counseling (77,8%) is in a goodcategory. Effective lactation counseling is performed to improve the implementation of breastfeeding with p-value 0.003 (p <0.005). Lactation counseling should be given during the prenatal period so that at the time of postpartum, the mother has been able to give breastmilk maximally. Mentoring for pregnant women also plays a role in the implementation of breastfeeding Keywords: lactation counseling, breast milk, breastfeeding implementation

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.

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