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Mathematical modeling of health service utilization data using multiple logistic regression

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dc.contributor.author Shrestha, Gauri
dc.contributor.author Shrestha, Ganga
dc.date.accessioned 2012-05-02T08:37:48Z
dc.date.available 2012-05-02T08:37:48Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/10361/1798
dc.description.abstract Many women in Nepal experience life threatening complications during pregnancy and child birth. Place of delivery is an important aspect of maternal health services. By delivery at a health institution, women receive better facilities and assistance than delivery at home. Even though the rate of birth taking place in a health institution has increased, but still four out of five (81%) birth take place at home (NDHS 2006). This fact is serious obstacle to reduce maternal mortality in Nepal. For analyzing the use of maternal health services and delivery system in Nepal, data is extracted from individual recodes of a data file of NDHS 2006. The unit of analysis for this study is Ever Married Woman (EMW) who had at least one live birth in the five years preceding the survey. The sample of study consists of 4182 EMW. Statistical model is developed to establish a linkage between utilization of MH services (place of delivery) and several factors. In the process of development of model, logistic regression model is selected. We used Newton Raphson itetrative method to solve the equations which is known as iteratively weighted least square algorithm and the results are interpreted in terms of odd ratios. The result of this study shows that women with low education level, those residing in rural areas and those with low socio-economic status are less likely to use a health facility for delivery. en_US
dc.publisher BRAC University en_US
dc.relation.ispartofseries BRAC University Journal, BRAC University;Vol. 8, No. 1 & 2, 2011, p. 47-54
dc.subject Logistic regression en_US
dc.subject Maternal mortality en_US
dc.subject Odd ratios en_US
dc.subject Place of delivery en_US
dc.subject Skilled birth attendant en_US
dc.title Mathematical modeling of health service utilization data using multiple logistic regression en_US
dc.type Article en_US


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