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Abedin, T., Chowdhury, Z., Afzal, A.R., Yeasmin, F. and Turin, T.C. (2016) Application of Binary Logistic Regression in Clinical Research. Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.

has been cited by the following article:

• TITLE: Determinants of Mortality in Newborn with Sepsis Condition Using Binary Logistic Model at the Tamale Teaching Hospital

  AUTHORS: Abdul Latif Alhassan, M. Sulemana, Mutawakilu Yahaya

  KEYWORDS: Sepsis, Antibiotics, Mortality, Neonates, Logistic, Regression

  JOURNAL NAME: Open Access Library Journal, Vol.6 No.5, May 30, 2019

  ABSTRACT: Newborn with Sepsis condition has become a major cause of deaths in newborn babies in the world especially in developing countries. This study considered a total of 1019 cases diagnosed with sepsis at the Tamale Teaching Hospital covering the period January 2010 to June 2015. The data was modeled using the Binary logistic regression model to ascertain the variables that contributed to mortality of newborn with sepsis condition at the Tamale Teaching Hospital. Preliminary analysis revealed that pregnant women who mostly failed to attend the antenatal are most affected. Further analysis shows cost of treatment and location of patients as significant contributing variables that contributed to mortality of newborn with sepsis condition at the facility. As a result, it was recommended that facilities must be improved at the districts health centers to cut traveling time of pregnant women to the bigger health centers as well as checking the rising cost of treatment so as to minimize or eradicate newborn with sepsis condition.