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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{
  "DOI": "10.20372/nadre:5350", 
  "author": [
    {
      "family": "ABEBE DEBU LIGA"
    }
  ], 
  "issued": {
    "date-parts": [
      [
        2015, 
        3, 
        1
      ]
    ]
  }, 
  "abstract": "<p>Obstetric fistula is a maternal morbidity creating devastating health problems for the women who<br>\nare affected. Continuous and uncontrollable leaking of urine or faeces from the vagina can lead to<br>\nlife changing stigmatization for women in third world countries. This study examined and<br>\nidentifies the determinants of obstetric fistula in Ethiopia based on the Ethiopian demographic and<br>\nhealth survey (EDHS, 2005) data conducted by Central Statistical Agency (CSA). The survey<br>\ncollected information on a total of 14,070 women were interviewed face to face on their<br>\nbackground characteristics as well as reproductive health issues, out of which 3178 women were<br>\ncomplete measurements and considered in this study. In order to meet our objective descriptive,<br>\nmultiple logistic regression and multilevel logistic regression statistical techniques were used for<br>\ndata analysis using demographic, socio-economic, health and environmental related variables as<br>\nexplanatory variable and status of obstetric fistula as response variable. The results of multiple<br>\nlogistic regression showed that geographical region, place of residence, educational status, age at<br>\nfirst birth, age at first marriage, employment status, place of delivery and follow up of antenatal<br>\ncare during pregnancy are a significant determinant factors of obstetric fistula in Ethiopia. The<br>\nresults of multilevel logistic regression analysis showed that the random intercept and fixed<br>\ncoefficient model provided the best fit for the data under consideration. The variance of the<br>\nrandom component related to the intercept term was found to be statistically significant implying<br>\ndifferences in prevalence of obstetric fistula among the regions. It also found that place of<br>\nresidence, educational status, age at first birth, age at first marriage, employment status, place of<br>\ndelivery and follow up of antenatal care were significant determinant factors of variations of<br>\nprevalence of obstetric fistula among regions. However, the significant predictors did not show<br>\nunderlying variation from region to region</p>", 
  "title": "DETERMINANTS OF OBSTETRIC FISTULA IN ETHIOPIA: AN APPLICATION OF BINARY AND MULTILEVEL LOGISTIC REGRESSION MODELS", 
  "type": "thesis", 
  "id": "5350"
}
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