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Kitui County Baringo County Bomet County Bungoma County Busia County Elgeyo Marakwet County Embu County Garissa County Homa Bay County Isiolo County Kajiado County Kakamega County Kericho County Kiambu County Kilifi County Kirinyaga County Kisii County Kisumu County Kitui County Kwale County Laikipia County Lamu County Machakos County Makueni County Mandera County Meru County Migori County Marsabit County Mombasa County Muranga County Nairobi County Nakuru County Nandi County Narok County Nyamira County Nyandarua County Nyeri County Samburu County Siaya County Taita Taveta County Tana River County Tharaka Nithi County Trans Nzoia County Turkana County Uasin Gishu County Vihiga County Wajir County West Pokot County National Kwale, Kilifi, Tana River, Lamu, Taita-River Counties Kwale, Siaya Counties Kisumu, Machakos, Nyeri, Isiolo Kisumu, Homabay, Siaya, Migori Counties Kisumu, Kilifi, Uasin Gishu Counties Kwale, Kilifi, Tana River, Lamu, Taita-Taveta, Mombasa Counties Kisumu, Siaya Counties Busia, Bungoma, Kakamega, Vihiga Counties Mombasa, Taita Taveta Counties Busia, Bungoma, Kakamega, Vihiga, Kericho, Homabay, Kisii, Nyamira, Migori, Siaya, Kisumu Counties Bumgoma, Busia Counties Kisumu, Kwale, Busia Counties Kisumu, Busia Counties Mombasa, Kilifi Counties Kiambu, Muranga, Nyandarua Counties Siaya, Bungoma Counties Narok, Samburu Counties Siaya, Nairobi Counties Taita Taveta, Nairobi Counties Kisumu, Kilifi, Kericho, Kisii, Baringo Counties Kilifi, Nairobi Counties

Vaccine Development Diagnostics Genetic Engineering Bioinformatics Biostatistics dental population and health systems and policy epidemiology behavioural and social sciences nutrition environmental/ occupational health oral health Health care financing governance and leadership and service delivery Maternal health child health adolescent health STIs Gender Based Violence (GBV) infertility sexual dysfunction family planning harmful traditional practices aging and sexual and reproductive health gender and human rights Virology Bacteriology Mycology Helminthology Neglected Tropical Diseases and Zoonotic diseases Traditional medicine conventional medicine and alternative medicine Lifestyle diseases obesity diabetes hypertension drug and substance abuse cardiovascular cancer (Breast, cervix, prostrate, throat, stomach, ovaries and skin) Road traffic accidents domestic/occupational injuries mental health

Observation / Participant Observation Surveys Interviews Focus Groups Experiments Secondary Data Analysis / Archival Study Mixed Methods (combination of some of the above)

  Qualitative Research Design Quantitative Research Design

  Descriptive Research Design Experimental Research Design Correlational Research Design Diagnostic Research Design Explanatory Research Design

 

Our study estimated prevalence of unskilledrndelivery and identified factors associated with health facility delivery inrnKitui County

A cross-sectional study was conducted December 2017-rnFebruary 2018. 245 women from five administrative wards wererninterviewed. A structured questionnaire was used to collect data.rnVariables that had p value 0.05 in bivariate analysis were included inrnmultivariable regression model to assess for confounders. Variablesrnwith a p value of 0.05 in multivariate analysis were consideredrnstatistically significant at 95 CI.

We interviewed 245 240 analyzed women from the fivernwards the majority were 16-25 years age group 45.5 110/240.rnMean age was 276.6 years. Prevalence of health facility delivery wasrn50.4. Distance from a health facility number of children in arnhousehold occupation of the respondents partner number ofrnantenatal clinic ANC visits and means of transport were significantrnfactors for not delivering in a health facility. On multivariate analysisrnwomen who lived 5km from health facility were less likely to deliverrnin a health facility AOR 0.36 95 CI 0.15- 0.86. Women whornattended 4 ANC visits were 4 times more likely to deliver in a healthrnfacility 95 CI 2.01-8.79.

Health facilities are the preferred sites for delivery regardlessrnof the level of education marital status and occupation of thernrespondents. Multiparous women are less likely to give birth atrna health facility in preference of home deliveries. Long distancernfrom the health facility is a hindrance to accessing health servicesrnand hence women could not adequately access maternal health care services from qualified medical practitioners in MwingirnNorth Sub county Kenya.

We recommend Kitui County introduce five satellite clinics/ambulatory services for expectant women to access ANC andrnmaternal services.

Home delivery Health facility delivery skilled birth delivery delivery practices