scholarly journals Peningkatan Keberhasilan ASI Eksklusif Melalui Kegiatan Kelompok Pendukung Ibu

2015 ◽  
Vol 2 (1) ◽  
pp. 17
Author(s):  
Tri Budi Rahayu
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Exclusive Breastfeeding ◽  
Research Method ◽  
Qualitative Approach ◽  
Infant Mortality Rate ◽  
Cross Sectional ◽  
Interview Technique ◽  
Depth Interview

Supporting the success of breastfeeding to improve the coverage of exclusive breastfeeding in order to lower the infant mortality rate (IMR) set out in 10 Langkah Menuju Keberhasilan Menyusui (LMKM) policy. One of the steps taken is strive for the establishment of Kelompok Pendukung Ibu (KP-Ibu). This study aims to explain the results of the Kelompok Pendukung Ibu (KP-Ibu) in improving the success of exclusive breastfeeding. Cross-sectional research method with qualitative approach using in-depth interview technique. The results showed there is still one group that the level of attendance <80%. It is motivated by: 1) There are some KP-Ibu motivator who are less active because the husband follows the work out of town and do not feel confident because it has not had the experience of breastfeeding; 2) Non-availability of props, tools limited to the manual / guideline; 3) Monitoring and mentoring have not done regularly every 3 months.

scholarly journals Kepatuhan Ibu Nifas Dalam Pemanfaatan Buku KIA Terhadap Pencegahan Komplikasi Masa Nifas Di Kota TarakanKepatuhan Ibu Nifas Dalam Pemanfaatan Buku KIA Terhadap Pencegahan Komplikasi Masa Nifas Di Kota Tarakan

2021 ◽  
Vol 5 (2) ◽  
pp. 77-86
Author(s):  
Nur Indah Noviyanti ◽  
◽  
Gusrian Gusrian ◽  
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Community Health Center ◽  
Sampling Technique ◽  
Infant Mortality Rate ◽  
Chi Square ◽  
Cross Sectional ◽  
The Government ◽  
The Right ◽  
Postpartum Mothers

Indonesia is currently still experienced problems related to the high maternal mortality rate (MMR) and infant mortality rate (IMR). So that the government makes efforts to reduce MMR and IMR. In this effort, in 1994 the government issued the MCH booklet, which is one of the strategies in reducing maternal and infant mortality rates, this strategy involves empowering the community, especially families and communities. In order to ensure the use of the MCH handbook in the community, the implementation of the MCH handbook is coordinated directly by the respective regional health offices. During the pandemic postpartum mothers find it difficult to access health facilities because of the right to service. Therefore, to increase mother's knowledge, both about early detection of complications, health education, health promotion, it is hoped that mothers can support them through the KIA book that every pregnant and postpartum mother has. This study aims to determine the relationship between postpartum mother’s adherence to the use of MCH book as an education to prevent complications in the Pandemic Era in the Sebengkok Community Health Center. This type of research used analytical research with cross sectional design. The population in this study were all postpartum mothers who were in the working area of the pusksemas Sebengkok from January to June 2020. The sampling technique in this study was purposive sampling. Based on the chi square test, the value of ρ = 0.011 was obtained, which shows ρ <α (0.05), which means that there is a relationship between postpartum mothers' knowledge of the use of the MCH book during the COVID-19 pandemic.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI PERBEDAAN BERAT BADAN LAHIR BAYI DI RSUD. Dr. M . YUNUS KOTA BENGKULU

2018 ◽  
Vol 8 (2) ◽  
pp. 143-151
Author(s):  
Meli Marisiantini
Keyword(s):  
Birth Weight ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Workers ◽  
Statistical Tests ◽  
Infant Mortality Rate ◽  
Dominant Factor ◽  
Low Birth Weight Infants ◽  
Caffeine Consumption ◽  
Cross Sectional

Nowadays, Infant Mortality Rate (IMR) is still high in Indonesia, it is about 32 per 1.000 livebirths, and low birth weight infants accounted for 34% as the major cause (SDKI, 2012). InDr.M.Yunus hospital at Bengkulu city, cases of LBW has increased from the preceding year,approximately 391 infants (14.4%) of 2713 childbirths. The purpose of this research is known thefactors which affect average of birth weight infants in C1 Midwifery room at Dr.M.Yunus Bengkulu in2013. The study design was observational descriptive with cross-sectional method which the populationare women who delivered in the maternity room at Dr.M.Yunus hospital, and also with accidentalsampling technique which samples are 48 respondents, data were processed using univariate andbivariate. The results of statistical tests showed there are influences of those factors to affect average ofbirth weight infant in Dr.M.Yunus hospital in 2013 and long-standing is the most dominant factor. It isexpected that health workers can be provide counseling to pregnant women in order to know the risks ifthe women have a bad lifestyle (exposure to cigarette smoke, caffeine consumption, and prolongedstanding) and also set the age for pregnancy planning.

scholarly journals PANEL DATA REGRESSION ANALYSIS FOR FACTORS AFFECTING INFANT MORTALITY RATE IN EAST JAVA 2013-2017

2021 ◽  
Vol 16 (3) ◽  
pp. 437
Author(s):  
Faishal Azhar Wardhana ◽  
Rachmah Indawati
Keyword(s):  
Panel Data ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Data Availability ◽  
Infant Mortality Rate ◽  
Complete Coverage ◽  
Cross Sectional ◽  
Panel Data Regression ◽  
Data Regression ◽  
The Government

ABSTRACTThe escalating infant mortality rate (IMR) in Indonesia has not been able to fulfill the target of Sustainable Development Goals (SDGs) that restrict the limit of IMR to just 12 of 1,000 live births. According to such fact, this research was designed as the application of panel data regression in an IMR case study of East Java from 2013–2017. Regression panel data enable research in describing cross-sectional and time series information. The variety of data availability in this method were capable of producing a high degree of freedom, allowing it to meet the prerequisites and statistical properties. This method was considered the most suitable one for analyzing the rising IMR. This research was classified as non-reactive research. All regencies/cities in East Java served as this study’s population. Data collection included K4 coverage, childbirth assistance, and KN complete coverage. The result of panel data regression showed a significant connection between K4 coverage (0.0230), childbirth assistance (p = 0.0105), and KN complete coverage (0.0205). Adjusted R-Square value was obtained with an amount of 80%, which means that all independent variables were able to explain the dependent one of that value, while the remaining were explained by other factors. This study can provide some suggestions to support IMR in East Java, including handling from the government or related pregnant families to support IMR on an ongoing basis. Keywords: panel data regression, IMR, K4, childbirth assistance, KN complete

scholarly journals Infant Mortality in Rural and Post-Conflict Areas in South Kivu, Eastern DR Congo: A Cross-Sectional Study 

2021 ◽  
Author(s):  
Gaylord Ngaboyeka ◽  
Espoir Malembaka ◽  
Pacifique Lyabayungu ◽  
Samuel Lwamushi ◽  
Aimé Cikomola ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Cross Sectional Study ◽  
Infant Mortality Rate ◽  
Sectional Study ◽  
Dr Congo ◽  
Cross Sectional ◽  
Factors Associated ◽  
Post Conflict ◽  
South Kivu

Abstract Background: The infant mortality rate in the province of South Kivu remains one of the highest in the Democratic Republic of Congo (DR Congo). The aim of this study is to estimate this mortality by identifying the associated factors in the health zones of Walungu and Miti-Murhesa, rural and post-conflict health zones of South Kivu, eastern DR Congo.Methods: We conducted a cross-sectional study in two post-conflict rural health zones, Miti-Murhesa and Walungu, between July 2016 and September 2017. Our study population consisted of women giving birth from two aforementioned areas during the period of study in which a structured questionnaire assessing the survival of the child resulting from the previous pregnancy was administered. Qualitative variables were described as counts and proportions and quantitative variables as means or medians depending on their distribution. To determine the factors associated with child survival, simple and multivariate logistic regression models were constructed. The materiality threshold was set at 5%. Results: The infant mortality rate is 49.7 ‰ in the two study areas overall and specifically 52.6 ‰ in Miti-Murhesa and 46.56 ‰ in Walungu. The factors associated with this mortality were the age of the mother under 20 years old [adjusted odds ratio ( ORa) = 2.3, 95% CI : 1.1-4.5 ; p = 0.022], household size greater than or equal to 7 people [( ORa = 3.7 ; 95% CI : 1.9-7.3 ; p <0.001 )], prematurity [( ORa = 25.5 ; 95% CI : 9.9-65.4 ; p < 0.001)], home birth [( ORa = 1.9 ; 95% CI : 1.3-2.9 ; p = 0.001)], the inter-reproductive space less than 12 months [( ORa = 5.3 ; ORa : 3.3-8.5 ; P < 0.001 )], not using LLINs [( ORa = 2.2 ; 95% CI : 1.4-3.3 ; P < 0.001 )].Conclusion: Infant mortality in the post-crisis rural area of South Kivu remains high although it is relatively low compared to the national average (58 ‰). However, efforts still need to be made in order to hope to achieve the Sustainable Development Goals.

scholarly journals Understanding State-Level Variations in the US Infant Mortality: 2000 to 2015

2018 ◽  
Vol 36 (12) ◽  
pp. 1271-1277
Author(s):  
Alireza Ebrahimvandi ◽  
Niyousha Hosseinichimeh ◽  
Jay Iams
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
State Level ◽  
Infant Mortality Rate ◽  
Cross Sectional ◽  
Explanatory Variables ◽  
Infant Deaths ◽  
Factors Associated ◽  
Effect Regression ◽  
Causes Of Mortality

Objective To exploit state variations in infant mortality, identify diagnoses that contributed to reduction of the infant mortality rate (IMR), and examine factors associated with preterm-related mortality rate (PMR). Study Design Using linked birth-infant deaths files, we examined patterns in the leading causes of IMR. We compared these rates at both national and state levels to find reduction trends. Creating a cross-sectional time series of states' PMR and some explanatory variables, we implemented a fixed-effect regression model to examine factors associated with PMR at the state level. Results We found substantial state-level variations in changes of the IMR (range =  − 2.87–2.08) and PMR (−1.77–0.67). Twenty-one states in which the IMR declined more than the national average of 0.99 (6.89–5.90) were labeled as successful. In the successful states, we found reduction in the PMR accounted for the largest decline in the IMR—0.90 fewer deaths. Changes in the other subgroups of leading causes did not differ significantly in successful and unsuccessful states. Conclusion Trends in the causes of mortality are heterogeneous across states. Although its impact is not large, reducing the percentage of pregnant women with inadequate care is one of the mechanisms through which the PMR decrease.

scholarly journals CORRELATIONS BETWEEN MOTHER’S KNOWLEDGE LEVEL OF EXCLUSIVE BREASTFEEDING AND THE PATTERN IN THE 6-MONTH CHILD IN POSYANDU OF JATIMULYO VILLAGE, PETANAHAN SUB-DISTRICT, KEBUMEN REGENCY, CENTRAL JAVA, INDONESIA

2020 ◽  
Vol 2 (2) ◽  
pp. 53
Author(s):  
Hastin Ika Indriyastuti ◽  
Wuri Utami ◽  
Juad Juad
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Exclusive Breastfeeding ◽  
Quantitative Methods ◽  
Univariate Analysis ◽  
Infant Mortality Rate ◽  
Bivariate Analysis ◽  
P Value ◽  
Central Java ◽  
Level Of Knowledge

Background: Globally, the infant mortality rate (IMR) is still extremely high. One of the efforts to improve children's health is exclusive breastfeeding for six months. Exclusive breastfeeding can reduce infant mortality rate caused by various infectious diseases. Thus, the community, especially mothers need to have proper knowledge about exclusive breastfeeding, and then they are expected to practice it. This study aims to determine the relationship between mothers’ knowledge of exclusive breastfeeding and the breastfeeding patterns of 6-month children in Jatimulyo Village, Petanahan Sub-district, Kab, Indonesia. Kebumen Regency, Central Java Province, Indonesia.Methods: The study was conducted in Jatimulyo Village using quantitative methods and correlation design with a cross-sectional approach. This study sample consisted of 56 mothers who had children aged 6-24 months selected based on the total sampling approach. Data were analyzed using univariate analysis and bivariate analysis using chi-square statistical tests.Results: This study found that most of the respondents are 26-30 years old and have a high school education level with multigravida parity and have a moderate level of knowledge. The study showed a relationship between the level of exclusive breastfeeding knowledge and breastfeeding patterns with a p-value of 0.002 (<0.05) and a correlation value of 0.499.Conclusions: Therefore, it can be concluded that there is a relationship between the level of knowledge about exclusive breastfeeding and breastfeeding patterns with a p-value of 0.002 (<0.05) and a correlation value of 0.499. 

scholarly journals The Characteristics of Postpartum Mothers to the Success of Breastfeeding in the First 3 Months

2020 ◽  
Vol 7 (3) ◽  
pp. 332-337
Author(s):  
Indah Yun Diniaty Rosidi ◽  
Mardiana Ahmad ◽  
Veni Hadju
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Exclusive Breastfeeding ◽  
Infant Mortality Rate ◽  
Research Approach ◽  
Chi Square ◽  
Maternal Characteristics ◽  
Chi Square Test ◽  
Intensive Education ◽  
Postpartum Mothers

Exclusive breastfeeding plays a major role in reducing the infant mortality rate while the achievement of exclusive breastfeeding in Indonesia is still very low due to various factors. This research aimed to determine the effect of the characteristics of puerperal women to the success of exclusive breastfeeding in the first 3 months. The research design was an analytical survey of an explanatory research approach. The sample of the research was postpartum mothers who had babies aged 3 as many as 90 people who were willing to become respondents. The sample was observed by using a checklist of breastfeeding techniques and breastfeeding success. The data were analyzed using the Chi-Square test and the Mann Withney test. The results of the research showed that there was no significant correlation between age (ρ = 0.075), education (ρ = 0.145), occupation (ρ = 0.136), gravida (ρ = 0.530), maternal residence status (ρ = 0.134) and the success of breastfeeding ( ρ> 0.05). So it could be concluded that there was no correlation between maternal characteristics to the breastfeeding success. I is needed to give intensive education to increase the mother's knowledge about exclusive breastfeeding.

scholarly journals Faktor Yang Berhubungan Dengan Ketidaklancaran Proses Persalinan Normal

2019 ◽  
Vol 1 (1) ◽  
pp. 1-10
Author(s):  
Veronika Uba Petan ◽  
Maria M. Dwi Wahyuni ◽  
Amelya B. Sir
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Program Planning ◽  
Infant Mortality Rate ◽  
Childbearing Age ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Hospital District ◽  
Factors Associated ◽  
Maternity Hospitals

The result of not fluent parturition will cause infection, bleeding, fatigue, anxiety, premature rupture of membranes, fetal injury and asphyxia in infants that can increase maternal and infant mortality. Health Office Data in NTT 2013 showed that the number of maternal deaths in the district Lembata 3 cases out of 3.075 labors. The infant mortality rate as much 67 cases and as much 32 cases of neonatal mortality.The infant mortality rate in the district Lembata is still quite high enough that ranks 6 of 21 districts in NTT Province. The purpose of this study was to analyze factors associated with disfluencies parturition in a public hospital district Lewoleba-Lembata 2015. This research method is an analytical observation with a cross-sectional survey design by interviewing mothers in maternity hospitals in an obstetrics room of 60 people. Data analysis using the Chi-Square test to determine factors associated with not fluent, then proceed with the contingency coefficient test to determine the relationship variable, if the value of p <0.05. The results showed, there is a significant relationship between maternal age (p=0.002), maternal nutritional status (p=0.034), family support (p=0.047), compliance with antenatal care (p=0.007) with not fluent parturition. Recommended for health care workers to perform program planning relating to the extension to women of childbearing age to prevent risk factors that can cause not fluent parturition.

scholarly journals SOCIODEMOGRAPHIC FACTOR RELATIONSHIP WITH INFANT SURVIVAL IN INDONESIA

2021 ◽  
Vol 10 (1) ◽  
pp. 11
Author(s):  
Yasmine Nurfirdaus ◽  
Philip Etabee Macdonald Bassey
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Child Survival ◽  
Infant Mortality Rate ◽  
Infant Survival ◽  
Chi Square ◽  
Cross Sectional ◽  
Live Births ◽  
Bivariable Analysis ◽  
Chi Square Analysis

Child  survival  can  be reflected  in  the  presence  of  the Infant Mortality Rate (IMR). Indonesia has an Infant Mortality  Rate  (IMR)  according to the 2017 IDHS, which reaches 24 deaths per 1000 live births. This figure has decreased compared to a survey conducted by the 2012 IDHS, where infant mortality reached 32 deaths per 1000 live births. Even though it experienced a decrease, the IMR in  Indonesia was higher when compared to the IMR in other Southeast Asian countries. Socioeconomic factors for individuals, families, and communities, including  the  influence  of  infant mortality. Not only that, but infant mortality can also be due to the absence of awareness  of  maternal  health. Thus,  this  study  aims to determine several  variables related to survival in infants in Indonesia. This type of research is a non-reactive study. This study uses quantitative analysis and a methodical approach with a cross-sectional approach that takes data from the 2017 IDHS. This study took a sample following the 2017 IDHS with the criteria  that mothers  who  had  babies  still  drank  breast  milk,  were  born  single,  and  were still alive after the first  three days in Indonesia. The number of respondents in this study was 7,599 mothers with babies. Analysis  of  the  research  data  using  Chi-Square  analysis.  Bivariable  analysis shows that  infants' survival  has  a  relationship  with  the mother's education, type of area, and  welfare level. However, infant survival  also  has  no  association  with  the  age of  the  mother  and birth attendants. Counseling pregnant women regarding risks, causes,

Public Infrastructure Investment and Development: Evidence from Turkey

2017 ◽  
pp. 68-90
Author(s):  
Gökçen Yılmaz
Keyword(s):  
Growth Rate ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Moving Average ◽  
Infant Mortality Rate ◽  
Infrastructure Investment ◽  
Public Infrastructure ◽  
Cross Sectional ◽  
Enrolment Rate ◽  
Cross Sectional Dependence

This paper investigates the relationship between public infrastructure investment and development. The study follows the human development approach and measures the aspects of development by economic growth rate, gross enrolment rate and infant mortality rate. Public infrastructure investment is disaggregated to energy infrastructure, city infrastructure and security, and transportation and communication. For the purpose of research, a panel dataset for the provinces of Turkey for the years between 1975 and 2001 is used. As the econometric technique, the fixed-effects technique is preferred. Standard errors robust to heteroscedasticity, serial correlation and cross-sectional dependence are reported. To capture the long-run impact of investment in public infrastructure and address the issue of endogeneity of public policy in econometric analysis, dependent variables are calculated as the five-year forward-moving average of the growth rate of real gross domestic product (GDP) per capita, the five-year forwardmoving average of the gross enrolment rate and the five-year forward-moving average of the infant mortality rate. The results provide evidence for a positive relationship between public infrastructure investment and development indicators. Findings support those who promote public provision of infrastructure for pro-poor growth, sustainable development or inclusive development. However, multi-collinearity and cross-sectional dependence arise as factors that reduce the robustness of inferential statistics. Additionally, the robustness of the results relies on the assumptions that simultaneity and dynamic endogeneity are not present, and that the impact of public infrastructure investment does not extend beyond the province that receives it.

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