Thesis Open Access

DETERMINANTS OF OBSTETRIC FISTULA IN ETHIOPIA: AN APPLICATION OF BINARY AND MULTILEVEL LOGISTIC REGRESSION MODELS

ABEBE DEBU LIGA


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    <dct:title>DETERMINANTS OF OBSTETRIC FISTULA IN ETHIOPIA: AN APPLICATION OF BINARY AND MULTILEVEL LOGISTIC REGRESSION MODELS</dct:title>
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    <dct:description>&lt;p&gt;Obstetric fistula is a maternal morbidity creating devastating health problems for the women who&lt;br&gt; are affected. Continuous and uncontrollable leaking of urine or faeces from the vagina can lead to&lt;br&gt; life changing stigmatization for women in third world countries. This study examined and&lt;br&gt; identifies the determinants of obstetric fistula in Ethiopia based on the Ethiopian demographic and&lt;br&gt; health survey (EDHS, 2005) data conducted by Central Statistical Agency (CSA). The survey&lt;br&gt; collected information on a total of 14,070 women were interviewed face to face on their&lt;br&gt; background characteristics as well as reproductive health issues, out of which 3178 women were&lt;br&gt; complete measurements and considered in this study. In order to meet our objective descriptive,&lt;br&gt; multiple logistic regression and multilevel logistic regression statistical techniques were used for&lt;br&gt; data analysis using demographic, socio-economic, health and environmental related variables as&lt;br&gt; explanatory variable and status of obstetric fistula as response variable. The results of multiple&lt;br&gt; logistic regression showed that geographical region, place of residence, educational status, age at&lt;br&gt; first birth, age at first marriage, employment status, place of delivery and follow up of antenatal&lt;br&gt; care during pregnancy are a significant determinant factors of obstetric fistula in Ethiopia. The&lt;br&gt; results of multilevel logistic regression analysis showed that the random intercept and fixed&lt;br&gt; coefficient model provided the best fit for the data under consideration. The variance of the&lt;br&gt; random component related to the intercept term was found to be statistically significant implying&lt;br&gt; differences in prevalence of obstetric fistula among the regions. It also found that place of&lt;br&gt; residence, educational status, age at first birth, age at first marriage, employment status, place of&lt;br&gt; delivery and follow up of antenatal care were significant determinant factors of variations of&lt;br&gt; prevalence of obstetric fistula among regions. However, the significant predictors did not show&lt;br&gt; underlying variation from region to region&lt;/p&gt;</dct:description>
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