Assessment of predictors of unskilled delivery among women seeking immunization services in Kitui County, Kenya

Zipporah W. Mbuthia; John G. Kariuki; Atei Kerochi

doi:10.18203/2394-6040.ijcmph20233755

Authors

Zipporah W. Mbuthia Department of Epidemiology and Biostatistics, Mount Kenya University, Thika, Kenya
John G. Kariuki Mount Kenya UniversityDepartment of Epidemiology and Biostatistics, Mount Kenya University, Thika, Kenya
Atei Kerochi Department of Epidemiology and Biostatistics, Mount Kenya University, Thika, Kenya

DOI:

https://doi.org/10.18203/2394-6040.ijcmph20233755

Keywords:

Unskilled delivery, Unskilled birth attendance, Maternal mortality, Predictors, Birth preparedness

Abstract

Background: Globally, maternal mortality was the second leading cause of mortality among women of reproductive age in 2016 after HIV/AIDS. In 2017, global and Africa maternal mortality rate (MMR) was 211 and 547 maternal deaths per 100,000 live births respectfully. Unskilled delivery is one of the underlying causes of maternal mortality.

Methods: The study assessed the predictors of unskilled delivery among women in Kitui County, Kenya. The facility-based study was cross-sectional with mixed method of data collection. Facilities were selected through simple random sampling and systematic sampling for participants. A structured questionnaire was administered among 380 women seeking immunization services and analysed using Stata. Twelve key informant interviews were conducted and analysed thematically.

Results: The level of unskilled delivery was 29.21%. On inferential analysis income [p=0.023], education [p=0.002], ANC visits [p=0.014], birth preparedness (BP) [p=0.042] and maternal complications [p=0.027], time taken to health facility [p=0.030] and quality of care [p=0.001] were statistically associated with unskilled delivery, p<0.05, C.I.=95%. On logistic regression low income (AOR=4.8356), low education (AOR=4.3169), few ANC visits [aOR=2.6444], lack of BP [aOR=5.0499], history of maternal and child complications [aOR=6.0237], longer time to health facility [aOR=0.1652] and poor quality of care [aOR=0.5615] were positively associated with unskilled delivery.

Conclusions: The level of unskilled delivery in Kitui county was 29.21%. Predictors of UBA were low income, low education, fewer ANC visits, lack of BP, history of maternal and child complications, longer time to health facility and poor quality of care.

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