MODEL PREDIKSI KEJADIAN KEMATIAN NEONATAL DI KECAMATAN PURBOLINGGO KABUPATEN LAMPUNG TIMUR PROVINSI LAMPUNG

Oktarina, Silvia and Fajar, Nur Alam and Yeni, Yeni (2017) MODEL PREDIKSI KEJADIAN KEMATIAN NEONATAL DI KECAMATAN PURBOLINGGO KABUPATEN LAMPUNG TIMUR PROVINSI LAMPUNG. JOURNAL-JIKM : JURNAL ILMU KESEHATAN MASYARAKAT, 8 (1). pp. 49-55. ISSN 2086-6380

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Abstract

Background: The infant mortality rate is one of indicators in determining children’s health status. Neonatal mortality rate in Indonesia on 2012 is 19 per 1000 live births. Meanwhile, neonatal mortality rate at Lampung Province is 20 per 1000 birth. The aim of this research is to predict the most influential variable to the case of neonatal mortality. Methods: This study is quantitatif research by case-control approach with 45 cases and 45 controls. The sample of this research is mothers who gave birth to a live infant. The data obtained were processed by using computer’s application for statistic and it is done by univariat, bivariat, and multivariat analysis. Result: Based on the results of this research, it can be known that there is correlation between birth weight to neonatal mortality (OR=29,421), mother’s age to neonatal mortality (OR=2,957), parity to neonatal mortality (OR=6,143), ANC frequency (OR=7,818), childbirth complications to neonatal mortality (OR=9,250). Birth weight is the most influential variable to neonatal mortality (OR=17,969; 95% CI=3,507-92,053; p=0,001) after being controlled by variable child birth complications, birth order, parity and ANC frequency. Conclusion: This research expected health workers to be more focus on monitoring maternal health passively and actively, conducting supplementary feeding for pregnant women, and socialization to pregnant women about the importance of family planning through counseling, role play, booklets, leaflets.

Item Type: Article
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Public Health > 13201-Public Health (S1)
Depositing User: Nur Alam Fajar
Date Deposited: 15 Apr 2020 10:38
Last Modified: 15 Apr 2020 10:38
URI: http://repository.unsri.ac.id/id/eprint/28991

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