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.
OKECH, O (2021). Application Of Logistic Regression Model To Determine Factors Causing Maternal Mortality: A Case Study Of Migori County Referral Hospital (2007-2015). Afribary. Retrieved from https://track.afribary.com/works/application-of-logistic-regression-model-to-determine-factors-causing-maternal-mortality-a-case-study-of-migori-county-referral-hospital-2007-2015
OKECH, OLWALO "Application Of Logistic Regression Model To Determine Factors Causing Maternal Mortality: A Case Study Of Migori County Referral Hospital (2007-2015)" Afribary. Afribary, 07 May. 2021, https://track.afribary.com/works/application-of-logistic-regression-model-to-determine-factors-causing-maternal-mortality-a-case-study-of-migori-county-referral-hospital-2007-2015. Accessed 05 Nov. 2024.
OKECH, OLWALO . "Application Of Logistic Regression Model To Determine Factors Causing Maternal Mortality: A Case Study Of Migori County Referral Hospital (2007-2015)". Afribary, Afribary, 07 May. 2021. Web. 05 Nov. 2024. < https://track.afribary.com/works/application-of-logistic-regression-model-to-determine-factors-causing-maternal-mortality-a-case-study-of-migori-county-referral-hospital-2007-2015 >.
OKECH, OLWALO . "Application Of Logistic Regression Model To Determine Factors Causing Maternal Mortality: A Case Study Of Migori County Referral Hospital (2007-2015)" Afribary (2021). Accessed November 05, 2024. https://track.afribary.com/works/application-of-logistic-regression-model-to-determine-factors-causing-maternal-mortality-a-case-study-of-migori-county-referral-hospital-2007-2015