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Jurnal Sri Nuralami Meldayanti Samuddin (k012171063) English.id (1)

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   NEONATAL DEATH PREDICTION MODELS IN THE YEAR 2017 KENDARI  Sri nuralami meldayanti samuddin 1  , Stang  2  , Arif tiro 3 1  Part Kespro, School of Public Health, University of Hasanuddin, (email: srinuralamimeldayantisamuddin@gmail.com ) 2 Section of Biostatistics, School of Public Health, University of Hasanuddin, (Email: stangbios@gmail.com ) 3 Section Statistics, Faculty of Mathematics and Natural Sciences, University of Makassar,(Email: arif_tiro@yahoo.com ) Correspondence address: Sri Nuralami Meldayanti SamuddinFaculty of Public HealthHasanuddin UniversityMakassar, 90245Phone: 082291234098  Email: srinuralamimeldayantisamuddin@gmail.com  Abstract In the course of SDGs, the national health system targets a reduction in neonatal mortality rate of at least 12 per 1000 live births. Whereas in 2017 in the city of Kendari number of neonatal mortality at 18 cases per 1,000 live births so that they do not meet the target of SDGs. This study aims to determine the predictive models of neonatal mortality in Kendari Year 2017. The research was conducted in the city of Kendari, the study type usedin the study was observational with case control study design with a sample of 18 cases and 36 controls. Thecontrol population of research is all mothers who gave birth to babies born alive until after 28 days in Kendari byusing simple random sampling, whereas sampling is not the case because the observations were made in the total population.The data obtained were processed using computer applications for statistical and performedunivariate, bivariate and multivariate analyzes.The results of this research can be in the know that there isinfluence between birth complications against neonatal mortality (OR = 10.298), asphyxia on neonatal mortality(OR = 13.113), and LBW to neonatal mortality (OR = 12.545). Asphyxia are variables that influence on neonataldeath.Pregnant women are expected to consult and consult a pregnancy with routine in health facilities that arenot too late in recognizing early detection of complications during delivery and the baby suffered asphyxia risk.Mother is expected to increase and maintain the nutritional intake during pregnancy,Keywords  :  neonatal mortality, complications of labor, asphyxia, low birth weight, and maternal  INTRODUCTION According to the Ministry of Health of Indonesia in the SDGs program that targets anational health system that is on purpose to 3 explained that in 2030 all over the countrytrying to reduce neonatal mortality rate at least 12 per 1000 live births. Neonatal deaths aredeaths in the period when the baby is born alive up to 28 days old baby , In 2000, 3 million infants (23 per 1000 birth) died in the early neonatal period inEurope and North America. Early neonatal mortality rate is higher obtained from the Africancontinent, which is 31 per 1,000 babies born. While early neonatal deaths in Asia (exceptJapan) of 24 per 1000 babies born and in Southeast Asia at 15 per 1,000 babies born ,Based on data from Kendari City Health Department, in 2013 accounting for 19(3:15%) and neonatal mortality in 2014 dropped to 17 cases (2.73%) per 1,000 live births. In2015 and 2016 remained decreased to 12 cases (1.9%). Meanwhile, in 2017 increased thenumber of neonatal deaths by 18 cases (2.2%) per 1,000 live births so that they do not meetthe SDGs targets to reduce neonatal mortality rate at least 12 per 1,000 live births ,Variety of factors can cause neonatal mortality as biological factors, namely infant birth weight and gender also affect neonatal mortality. In addition, the neonatal mortality wasalso influenced by the biological mother (age, history of abortion, and complications during pregnancy) ,Research conducted by Debelew et al (2014) states that the factors affecting neonatalmortality is parity, the frequency of visits Antenatal Care (ANC), the place of delivery,gestational age at delivery, premature rupture of membranes, multiple births, the size of theneonate at birth and neonatal care practices. The purpose of this study was to determine the prediction model of Neonatal mortality in Kendari City based on the influence of maternalage, ANC service standards, low birth weight, asphyxia, parity, and labor complications. METHOD  Location and Design Research This research was conducted in Kendari conducted in February and March 2019. Thetype was an observational study using case control design.  Population and Sample  The control population of research is all mothers who gave birth to babies born aliveuntil after 28 days in Kendari by using simple random sampling, whereas sampling is not thecase because the observations were made in the total population.  Method of collecting data This study uses secondary data obtained from Kendari City Health Department and themedical records of nine health centers in the city of Kendari 2017 puskesmas eye, kandaihealth centers, community health centers Benu-continent, puuwatu health centers, communityhealth centers highway teak, blooming health centers, community health centers lepo- Lepo,Poasia health centers and community health centers that provide data Abeli associated withthe variables to be studied.  Data analysis Analysis of the data used is a univariate analysis were done to get a general overviewof the research problem. To see the effect of each independent variable on the dependent used bivariate analysis using Chi-square test (  2 ). Then multivariate analyzes were performed toanalyze the influence of several variables on other variables at the same time and to establisha model using multiple logistic regression. RESULTS Table 1 shows the results of chi-square test to determine the association betweenmaternal age, ANC service standard, parity, complications of labor, asphyxia, low birthweight and the incidence of mortality to incidence of neonatal death. At the age of the mother shows the results of chi-square test for value Odds Ratio (OR) is 2.212, with p = 0.284. meanage of mothers giving their risk by 2.212 times the incidence of neonatal death but there is norelationship between maternal age with the incidence of neonatal mortality because the valueof p> 0.05.Table 1 In the standard variable ANC shows the results of chi-square test for value OddsRatio (OR) is 1.750, with p = 0.499. standard means ANC gives the risk by 1.750 times theincidence of neonatal death but there is no relationship between the ANC and the servicestandards of neonatal mortality events since the value of p> 0.05. In the parity variables showch-square test results for grades Odds Ratio (OR) is 4.086, with p = 0.043. means that thenumber of children one mother and more than 3 gives a risk four times greater than theamount of his mother 2-3 and showed that there were significant relationship between paritywith the incidence of neonatal mortality as p <0.05.
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