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

Abstract

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 ] 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.

Induction of Labor Prevalence and Associated Factors for Its Outcome at Wolliso St. Luke, Catholic Hospital, South West Shewa, Oromia

“…In this study was found that the induced labor had shown significant association with Bishop Score, heart rate abnormality and change of meconium color. This finding was in accordance with the study of Bekana et al [19] and Fawole et al [17] who recorded significant associations between those variables and induction of labor. This might be that those variables are the most likely variables indicating the condition of laboring mother and their fetus which are important to determine the need of induced labor.…”

“…This finding is in line with Hawassa Public health facilities [19]. This could be explained by the presence of membrane rapture strengthen the cascade of uterine contraction and induced labor.…”

“…Women who were in the gestational age<42 weeks showed 9 times more likely to be successful during induced labor as compared to those who were not. This finding was supported by the study done in Aga Khan university Hospital [15] and Hawassa Public health facilities [19]. This may be related to when Gestational age>42 week there will be big fetus (macrosomia) cause Fetopelvic disproportion or there is decreased placental insufficiency perfusion leads to non-reassurance fetal heart beats cause failure to success induction of labor.…”

Induction of Labor by Prostaglandin: A Review for Indications and Risk for Cesarean Section

“…Dr. Rashida found the reasons for cesarean [59] 2016 26.5 Use of analgesia, higher birth weight, older maternal age Laughon et al [60] 2011 Bishop score Teixeira et al [61] 2012 Bishop score Mbele et al [20] 2007 Primigravidity Hurissa et al [62] 2015 Advanced age, primiparity, unfavorable bishop score, premature rupture of membrane, greater for gestation and bad obstetric history Hatfield et al [15] 2007 Bishop score and parity Grobman [63] 2015 Bishop score and parity Crane [64] 2006 Maternal age, weight, height, BMI, gestational age, birth weight and amniotic fluid index Ennen et al [65] 2009 Drug doses and cervical dilatation Pevnzer et al [66] 2009 Drug doses and cervical dilatation Ehrenthal et al [67] 2010 Drug doses and cervical dilatation Glantz [68] 2010 Drug doses and cervical dilatation BMI: Body mass index…”

“…The major predicting factor for a successful vaginal delivery after induction is the cervical factor [20 [37,62,63]. Similarly, Crane reported the predictive factors as maternal age, weight, height, BMI, ethnicity, and socioeconomic status.…”