ANALISIS SPASIAL KEMATIAN IBU DI KABUPATEN TASIKMALAYA TAHUN 2009
| Main Authors: | , METI MEGAWATI, , Prof. dr. Djaswadi D., MPH., SpOG(K)., Ph.D. |
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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/88538/ http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=50905 |
Daftar Isi:
- Background: In 2008, maternal mortality in Tasikmalaya District was still high which reached 46 cases. This was caused by various factors, one of which was the access to healthcare facilities. Spatial analysis using Geographic Information System (GIS) is a process of information combination in various maps by map overlay to field new information about risk factors of maternal mortality. Objective: To obtain a description on distribution pattern about maternal mortality cases spatially and to find out factors related to maternal mortality in Tasikmayaya in the year of 2009, namely distance to health facilities, road condition and birth attendance. Method: This was an observational study with a cross-sectional study design, and supported by qualitative data through in-depth interview. The subjects were 32 mortality cases that met inclusion criteria, with the respondents who were the husband, family, or witness. Data analysis used spatial weighted regression in software GeoDa. Result: The analysis of spatially weighted regression showed that In addition, the analysis of diagnostic of spatial dependence which was the result of Likelihood Ratio Test gave p value = 0.746 (p>0.05), which meant 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 distance, road condition, culture, fees, and other vehicles. 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 distance, road condition, culture, fees, and other vehicles. The results obtained spatial analysis of maternal mortality cases are in the buffer with radius of 1 km � 3km, and the zone of highest maternal mortality cases regions, namely in the western zone of 6 cases and southern zones of 10 cases.