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.

scholarly journals Formative research on infant mortality rate in Manipur

2021 ◽  
Vol 8 (3) ◽  
pp. 1287
Author(s):  
Markordor Lyngdoh ◽  
Brogen Singh Akoijam
Keyword(s):  
Health Care ◽  
Infant Mortality ◽  
Health Workers ◽  
Formative Research ◽  
Health Care Facilities ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Care Workers ◽  
Depth Interviews

Background: IMR is universally regarded as the most important indicator of the health status of a community. Objectives was too triangulate low infant mortality data in Manipur using qualitative data in a district.Methods: A formative research was conducted in Bishnupur area of Manipur in November-December 2017 among health care workers using in-depth interviews. A total of 15 in-depth interviews were transcribed and analysed with qualitative content analysis.Results: Themes emerging out of analysis included well-equipped health care facilities, efficiency of health workers, parent’s awareness, record maintenance, problems faced by the hilly areas and Government schemes.Conclusions: All the participants are of the agreement that IMR in Manipur is low.

scholarly journals The effect of the quality of institutions on the relationship between public health expenditure and the infant mortality rate: evidence from the PVAR (X) and PSTR approaches

2021 ◽  
Vol 1 (1) ◽  
pp. 16-35
Author(s):  
Arthur Evariste KOUASSI ◽  
Ya Assanhoun Guillaume KOUASSI ◽  
Nogbou Andetchi Aubin AMANZOU
Keyword(s):  
Public Health ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Expenditure ◽  
Infant Mortality Rate ◽  
African Countries ◽  
Important Indicator ◽  
Institutional Variables ◽  
Public Health Expenditure ◽  
Sub Saharan

Infant mortality is a major health problem in developing countries. It is an important indicator of a country's public health as it goes hand in hand with socio-economic conditions and many others. Public health spending has been committed to reducing this scourge. This has led to the completion of numerous studies which have yielded mixed results. The main objective of this study is to test the effect of public health expenditure (% GDP) on the infant mortality rate, taking into account the role that institutional quality can play. To achieve this, we use two approaches which are the autoregressive vector panel model with exogenous variables (PVAR (X)) and the smooth threshold regression model (PSTR) on annual data covering the period 2002-2016 and covering 37 African countries. Sub-Saharan. Our main results through the PVAR (X) reveal that in the absence of institutional variables, public health expenditure has a negative and significant effect on the infant mortality rate, whereas, in the presence of the various institutional variables, this effect is still negative but is no longer significant. Our results show that the presence of institutions halves the weight of public health expenditure in explaining the infant mortality rate. In addition, our results show through the PSTR that there is a certain level of institutional qualities that these countries must achieve for public health expenditure to positively affect infant mortality rates. These thresholds oscillate for all the institutional variables around 7%. Taking institutional variables into account will help reduce infant mortality in Sub-Saharan African countries.

scholarly journals FACTORS AFFECTING INFANT MORTALITY RATE IN KARANGASEM, BALI

2019 ◽  
Vol 4 (1) ◽  
pp. 12-15
Author(s):  
Ni Luh Putu Suciptawati ◽  
Ni Luh Putu Suciptawati ◽  
Made Asih ◽  
Kartika Sari ◽  
I G A M Srinadi
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Birth Spacing ◽  
Linear Analysis ◽  
Infant Mortality Rate ◽  
Categorical Variables ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Log Linear

The purpose of this study was to determine the factors that influence the infant mortality rate in Karangasem, Bali. The method used in this research is the Log Linier model. In the Log linear model analyze relationship pattern among group of categorical variables which include an association of two or more variables, either simultaneously or partially. A Patterned relationship between variables can be seen from the interaction between variables. Log linear analysis does not distinguish between explanatory variables and response variables. The population in this study was all babies born in Karangasem in 2015 that is as many as 7,895 babies with live birth status and as many as 7,835 babies and 60 infants died. As a sample, 100 babies were taken, of which 60 were live and 40 died. The results show that infant mortality is affected by infant weight, how old the mother during childbirth, and interaction between birth spacing and infant weight  

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 Socio-demographic determinants of under-five mortality in rural Agra

2017 ◽  
Vol 4 (9) ◽  
pp. 3108
Author(s):  
Krishan Kumar ◽  
Rajiv Srivastava ◽  
S. K. Mishra
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Neonatal Mortality ◽  
Nuclear Family ◽  
Well Being ◽  
Infant Mortality Rate ◽  
Age Group ◽  
Neonatal Mortality Rate ◽  
Important Indicator ◽  
Live Births

Background: One of the most important indicator or index of socio-economic development of a country or region is infant mortality rate. The present study was undertaken to assess the quantum of childhood mortality and to find out the social factors associated with these deaths by verbal autopsies. Methods: This one year cross-sectional study was undertaken in a purposively selected community Development Block Sainyan, district Agra among children aged between 0-5 years using multistage random sampling technique. Suitable statistical methods were applied. Results: Out of total 8355 families surveyed, a total of 185 deaths were reported among children. Number of deaths was higher among those belonging to nuclear family and lower socioeconomic status. The neonatal mortality rate was estimated to be 33.55/1000 live births. The post neonatal mortality rate was found to be 40.78/1000 live births and infant mortality rate was 74.33/1000 live births. Mortality rate in 1-5 year age group children was 10.6/1000 same age group children, while 0-5 yrs. mortality was estimated to be 22.39/1000 children of same age group. Out of 185 children who died, 52.7% were unimmunized and another 35.67% were partially immunized. Conclusions: Female education and socioeconomic well-being should be strengthened. 

scholarly journals Mind the Gaps: Facilitators and Barriers to Behavioral Change Related to Infant Mortality Rate

2019 ◽  
Vol 2 (1) ◽  
Author(s):  
Jessica Chiang ◽  
Sarah Roth ◽  
Wilma Griffin ◽  
Paige DeChant ◽  
Debra Litzelman
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Food Insecurity ◽  
Behavioral Change ◽  
Health Workers ◽  
Post Partum ◽  
Health Resources ◽  
Infant Mortality Rate ◽  
Childbearing Age ◽  
Safe Sleep

Background and Hypothesis: Marion County suffers from stark racial disparities in infant mortality rate (IMR) with black babies experiencing an IMR of 11.6 and white babies 4.5, to culminate at a state average of 7.3. Since 2016, WeCare Indiana has worked to reduce the IMR in Central Indiana by connecting pregnant, post-partum, and childbearing age women with Community Health Workers (CHW) and community organizations that help with areas including but not limited to baby supplies, housing, and food insecurity. The goal of this research was to identify factors that promote changes in behaviors in WeCare clients as well as barriers to behavior modification in relation to the five pillars of the WeCare program: food insecurity, mental health, smoking, breastfeeding, and safe sleep. Experimental Design or Project Methods: Qualitative analysis of unstructured CHW follow-up notes from 2016 to 2018 of 1775 WeCare clients from mostly 13 highest risk zip codes for IM in Central Indiana was completed using keyword searches and clustering narrative entries into themes associated with the apriori areas of behavioral change. Results: Several key influencers of behavioral change were identified: (1) CHW dissemination of eligibility information about WIC, (2) CHW referral of clients to behavioral health resources, and (3) Pack n Play resources bundled with Safe Sleep class. Persistent barriers to positive behavioral change included: (1) lack of transportation to food resources, (2) unmanaged stress propagating substance use and smoking, (3) employment interfering with breastfeeding, and (4) lack of Safe Sleep education for all caretakers. Conclusion and Potential Impact: Next steps include sharing qualitative findings with CHW to reinforce positive behavioral change as well as investigating solutions for the barriers that prevent change within the five pillars of WeCare Indiana. Data from this study will be used to help interpret the calculated behavioral change scores relative to baseline measures that were found from quantitative analysis.

The modern problem of infant mortality in the Russian Federation, an integrated approach to reduction on the example of the Republic of Ingushetia

2020 ◽  
pp. 44-48
Author(s):  
H. U. Ugurchieva ◽  
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Russian Federation ◽  
National Health System ◽  
Integrated Approach ◽  
Well Being ◽  
Infant Mortality Rate ◽  
Important Indicator ◽  
The Russian Federation ◽  
The Republic

Infant mortality is an important indicator of the social well-being of society and reflects the state of the national health system as a whole. According to official statistics, the infant mortality rate in the Russian Federation has reached a significant decrease in recent years, but in comparison with the leading countries of the world it still remains high. The study found that in the Russian Federation infant mortality has a territorial differentiation, which indicates different policies of the executive authorities of the regions in the direction related to the reduction of infant mortality. The review article contains data on the dynamics of infant mortality in the Republic of Ingushetia and other republics of the North Caucasus Federal District. A significant decrease in the infant mortality rate in the Republic of Ingushetia is shown as a result of the effective interaction of state authorities at all levels. The need for an integrated approach in the system of management decisions for the development of the perinatal service in the regions of the Russian Federation has been proved.

scholarly journals THE ANALYSIS OF VILLAGE MIDWIFE PERFORMANCE IN REDUCING MATERNAL AND INFANT MORTALITY RATE

2020 ◽  
Vol 8 (2) ◽  
pp. 141
Author(s):  
Tumartony Thaib Hiola ◽  
Bun Yamin M. Badjuka
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Health Workers ◽  
Well Being ◽  
Infant Mortality Rate ◽  
District Health ◽  
Cross Sectional ◽  
Care Training ◽  
Village Midwife ◽  
Childbirth Care

Background: The most essential aspect to reduce the number of maternal and newborn mortality is midwife competence. Midwives have a great role to be able to handle variety of health services (antepartum, intrapartum, and postpartum) to avoid or decrease the maternal and infant mortality rate. Performance of health workers, particularly midwives, is the most crucial in affecting the quality and quantity of midwives’ services to  enhance the national health development.Aim: This study analyzed factors affecting village midwife performance for reducing maternal and infant mortality in seek for achieving Bone Bolango cemerlang or bright Bone Balango as the vision of Bone Bolango District in 2021.Methods: This study was an analytical survey with a cross-sectional approach. It was conducted from March to June 2019 in the working area of Bone Bolango District Health Office. There were 227 people from 19 primary healthcare centers as the population, and the sample size was 227 selected by using the total sampling technique. The data were collected by distributing questionnaires to the respondents and using secondary data. The data processing was done through chi-square test and multiple logistic regression with backward wald method.Results: Midwife performance in Bone Bolango District was assessed based on several variables. Most of them were ≥ 25 years old (80.6%); worked for ≥ five years (58,6%); mostly had not participated in any normal childbirth care training (76.7%); had a good competence (96.5%); had good resources/equipment (79.7%); had a good reward (92.5%); had a good attitude (76.2%); had a good motivation (90.7%). There were 12 maternal mortalities from 2017 to 2019 handled by only 11 midwives (4.8%). On the other hand, infant mortality rate (IMR) reached 25 cases in the same years; of 227 midwives, these cases were handled by only 21 midwives (9.3%).Conclusion: A midwife as a part of the health workers has an important role to increase the quality of maternal and child well-being program. Some variables that became indicators of midwife performance and had an effect on reducing the MMR and IMR included work period, reward, and motivation. This study recommends that all midwives have to be provided with a normal childbirth care training in the working area and increased rewards in the process of labor and delivery. Keywords: midwives, performance, maternal mortality rate, infant mortality rate.

Defining and Managing Infant Mortality

2008 ◽  
Vol 32 (4) ◽  
pp. 473-513
Author(s):  
Gretchen A. Condran ◽  
Jennifer Murphy
Keyword(s):  
Nineteenth Century ◽  
Mortality Rate ◽  
Infant Mortality ◽  
Health Workers ◽  
Public Works ◽  
Infant Mortality Rate ◽  
High Rate ◽  
Death Rates ◽  
General Welfare ◽  
Societal Problems

Historically, public health workers, physicians, and reformers have used the infant mortality rate as an indicator of the goodness of a society—its general welfare, the justness of its political system, the efficacy of its public works, the benevolence of its powerful; a high rate of death among the very young was an index of a community's shame. These views of the infant mortality rate as reflecting general characteristics of a society were widely displayed in the second half of the nineteenth century even as most disease entities were becoming more narrowly defined and ordinarily linked not to the nature of society or individual predisposition but to specific pathological organisms. Using Philadelphia as a case study, we examine the history of the infant mortality rate from 1870 through 1920, both the technical aspects of its calculation and its use as an indicator of broad societal problems and a catalyst for policy. Our emphasis is not on explaining the trends in the death rates of the very young but on the uses and meanings given to the infant mortality rate during the second half of the nineteenth century and the first decades of the twentieth century specifically as they related to three efforts to lower infant death rates—removing infants from the city, improving the supply of milk, and establishing child hygiene programs.

scholarly journals Observational study on the efficiency of Neonatal Emergency Transport in reducing mortality and morbidity indexes in Sicily

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Raffaele Falsaperla ◽  
Giovanna Vitaliti ◽  
Barbara Amato ◽  
Marco Andrea Nicola Saporito ◽  
Laura Mauceri ◽  
...  
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Observational Study ◽  
Risk Index ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Mortality And Morbidity ◽  
Mortality Index ◽  
Emergency Transport ◽  
National Statistic

AbstractIn these last 25 years, the Neonatal Emergency Transport (NET) service has been widely improved in Italy. To date, all National areas are covered by a NET service; 53 NET centers have been activated in all the Italian territory. Herein, the authors present an observational study to evaluate the rate of infantile mortality after introduction of NET in Sicily, and to study the efficiency of this service in reducing these rates of mortality in vulnerable neonates, transported from primary care birth centers to tertiary facilities to undergo to specialized NICU assistance. All neonates who required an emergency transport by NETS were included. No exclusions criteria were applied. Demographic and regional infantile mortality data, expressed as infant mortality rate, were selected by the official government database (ISTAT- National Statistic Institute—http://www.istat.it). All data were respectively divided into three groups: data concerning transport, clinical condition, and mortality of the transported patients. We transported by NET 325 neonates. The analysis of the infant mortality rate (per 1.000 live births) in Catania from 2016 to 2018 was reduced compared to the same rate calculated before NETS activation (4.41 index before 2016 vs 4.17 index after 2016). These data showed an increase in other provinces (Enna, Caltanissetta, and Agrigento). 61% of neonates showed a respiratory disease. During the study period the proportion of neonates with a Mortality Index for Neonatal Transportation—MINT < 6 has been reduced, while there was an increase of neonates with higher Transport Risk Index of Physiologic Stability-TRIPS score results. The slight decrease of infantile mortality in Catania during the first three years after introduction of NET follows the same trend of all Italian territories, showing the importance of this service in reducing infantile mortality.

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