ANALISIS DISTRIBUSI SPASIAL KEMATIAN IBU DI KABUPATEN LOMBOK TIMUR PROVINSI NUSA TENGGARA BARAT TAHUN 2007-2009
| Main Authors: | , Heri Bahtiar, , Prof. dr. M. Hakimi, SpOG(K), PhD., |
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| Format: | Thesis NonPeerReviewed |
| Terbitan: |
[Yogyakarta] : Universitas Gadjah Mada
, 2011
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| Subjects: | |
| Online Access: |
https://repository.ugm.ac.id/90902/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=53166 |
Daftar Isi:
- Background: East Lombok District in 2009, the MMR reached 146/100,000 live birth. with delays in referring the women to health facilities due to the fact that the geographical condition of this district is ridges and hills in the south part and dry lands and coastal areas in the west part. Objective: To find out information on a description of spatial distribution of maternal mortality and factors which affect maternal mortality in East Lombok District. Method: This was a descriptive-analytical survey with a quantitative approach by analyzing spatial distribution of maternal mortality using Geographic Information System (GIS). The survey was intended to gain a description on each variable characteristics observed, by seeing clustering of maternal mortality cases based on independent variable. The survey also analyzed relationship between ANC, childbirth assisted by health workers, causes (diseases caused by infection or parasite), women�s age, parity and distance to health facility and maternal mortality in East Lombok District. The study population was all mortal women with verbal autopsy in 2007-09 as many as 68 persons taken as the study sample. Data analysis used spatial analysis to find out case distribution of maternal mortality, Satscan to determine cluster, and spatial regression with Analysis Spatial Weighted Regression with GeoDa to see the most influential factor toward maternal mortality. Result: Maternal mortality did not follow a certain spatial distribution pattern, meaning that maternal mortality was not affected by existing factors present in case area both place and time but was affected by other factors such as ANC visits. The spatial analysis using Logistic Regression Analysis with STATA showed that ANC had a significant relationship with maternal mortality cases, while birth assistants, causes, age, parity, and distance to health facility did not correlate with maternal mortality cases with no cluster on the cases found. Conclusion: The maternal mortality cases did not follow a certain spatial distribution pattern, or the cases were not affected by factors in the area as well as study time and location, but more influenced by other factors, such as antenatal care. The results obtained spatial analysis of maternal mortality cases are in the buffer with radius of 1km � 3km.