Journal of Women's Health Care
Open Access

Abstract

Prevalence of Failed Induction of Labor and Associated Factors Among Women Delivered in Hawassa Public Health Facilities, Ethiopia, 2015

Bekana Fekecha Hurissa, Mathewos Geta and Tefera Belachew

Background: Induction of labor is an increasingly being done obstetric procedure throughout the world. It is carried out in approximately 20% of all pregnancies. It is associated with poorer outcomes when compared with spontaneous labor.
Method: Institutional based cross sectional study was made on medical records of 294 women admitted for induction of labor in Hawassa public health facilities from 1st Jan, to 31st Dec, 2014. Systematic sampling technique was used to select samples. Data was collected by structured questionnaire and edited, then entered into Epi-Data version 3.1. Data was analyzed with Statistical Package for Social Science, version 21. First percentage, frequency and mean were calculated. Then, multivariable logistic regression analysis was done to evaluate the possible association of all variables that were candidate after binary logistic regression analysis. P-value of less than 0.05 in multivariable logistic regression was considered as statistically significant. Finally the result is summarized and presented in texts and charts.
Result: The prevalence of failed induction of labor was 17.3%. Multivariable logistic regression analysis showed that advanced maternal age [AOR 9.21 (2.70-31.35)], Nulliparity [AOR 3.11 (1.01-9.62)], poor Bishop Score [AOR 4.54 (1.56-13.19)], greater for gestation [AOR 6.57 (2.18-19.72)], bad obstetric history [AOR 5.60 (1.35-23.29)], post term [AOR=4.52 (1.20-17.00)] and premature rapture of membrane [AOR 5.66 (1.96-16.32)] were significantly associated with failed induction of labor.
Conclusion: Advanced age, Primiparity, unfavorable bishop score, premature rupture of membrane, greater for gestation and bad obstetric history had positive association with failed induction of labor. Developing practice guidelines may help to prevent unwarranted case selection and help to reduce the current high failure rates.