Application Of Logistic Regression Model To Determine Factors Causing Maternal Mortality: A Case Study Of Migori County Referral Hospital (2007-2015)

Abstract

Kenya is one of the major contributors to the poor maternal health

status in Africa with maternal mortality ratio of 488 maternal deaths

per 100,000 live births translating to 7,700 maternal deaths annually [23].

There are regional disparities in maternal mortality among the 47 counties

with county with the highest maternal mortality has almost 20 times

maternal deaths of that with the lowest. Migori County is one of the

counties with the highest burden of maternal mortality in the country with

maternal mortality ratio of 673 per 100, 000 live births [23]. In Migori

County there is the problem of inability to ascertain the leading causes of

these deaths in the hospital as well as increment or otherwise of recorded

deaths, there is very little information available on causes of maternal

mortality. There is general lack of functioning vital registration systems

where births and deaths go unrecorded especially when they take place at

home. Thus we are only left to get estimates from a wide variety of sources

such as prior census, prior national or regional surveys. To ll this gap a

study was done to determine specic causes of maternal mortality using

Logistic Regression Model technique on the data from Migori County

Referral Hospital from the year 2007 to the year 2015. In this study we

found out that out of possible 11 causes of maternal mortality, AGE and

ANC were the only signicance contributors to maternal mortality in this

county. ANC was found to be the most signicant contributing factor

to occurrence of maternal death with p value of 0:011 < 0:05 followed

by AGE of p value 0:036 < 0:05. The study recommends that state

ministry of education; county government and other partners should start

sex education in our schools to avert unwanted pregnancies among the

students who are the majority in unmarried groups. The government

should encourage ANC among expected mothers in Migori County.