Factors influencing the choice of place of child delivery among women in Garissa district, Kenya

Magister Public Health - MPH === Although the Kenyan government implemented safe motherhood programme two decades ago, available data indicate that prevalence of home delivery is still high among women in Garissa District. The aim of this thesis was to investigate the factors influencing the choi...

Full description

Bibliographic Details
Main Author: Hirsi, Alasa Osman
Other Authors: Mathole, Thubelihle
Language:en
Published: University of the Western Cape 2016
Subjects:
Online Access:http://hdl.handle.net/11394/5288
Description
Summary:Magister Public Health - MPH === Although the Kenyan government implemented safe motherhood programme two decades ago, available data indicate that prevalence of home delivery is still high among women in Garissa District. The aim of this thesis was to investigate the factors influencing the choice of place of childbirth. Methodology: A descriptive cross-sectional study was carried out among 224 women who delivered babies two years prior to December 2010. Using a statcalc program in Epi Info 3.3.2, with expected frequency of home delivery at 83% +5% and a 95% confidence level, the calculated sample size was 215. Furthermore, with a 95% response rate the adjusted minimum sample size was 226.There were two none-responses hence 224 women were interviewed. Stratified sampling was used. Data were collected using pre-tested structured questionnaires and analyzed using SPSS. Descriptive, bivariate and multivariate analysis was performed. A binary logistic regression analysis using the Enter method was performed to determine independent predictors for use or non-use of healthcare services for childbirth. The threshold for statistical significance was set at 0.05. Results: The result was presented in text and tables. The study found 67% (n=224) women delivered at home and 33% delivered in hospital. The study found low level of education, poverty, none-attendance of ANC, distance, cost of services, poor quality services, negative attitude towards midwives, experience of previous obstetric complications and decision-making to be significant predictors in home delivery at the bivariate level (p<0.05). The study did not find relationship between age, marital status, religion and place of childbirth (p>0.05). At multivariate level, the following variables were still found to be significant predictors of home delivery: no education OR=8.36 (95% CI; 4.12-17.17), no occupation OR=1.43(95% CI; 1.08–5.49) experience of obstetric complications OR=1.38 (95% CI; 1.15-2.12), none-attendance of antenatal clinic OR=1.11 (95% CI; 1.03–1.51), Rude midwives OR=5.60 (95% CI; 2.66-11.96). Conclusions: high prevalence of home delivery was noted due to lack of education, poverty and inaccessible maternity services hence the need to empower women in education and economy to enhance hospital delivery.