Skip to main content

Predicting factors of failed induction of labor in three hospitals of Southwest Ethiopia: a cross-sectional study



Failed induction of labor affects maternal and neonatal outcomes as well as the cost of healthcare, especially in low-resource setting regions in which the prevalence of failed induction is higher despite the incidence of labor induction is low. This study aimed to assess the prevalence of failed induction of labor in southwest Ethiopia.


A hospital-based cross-sectional study was conducted among 441 induced women from March 1 to August 30, 2018. A systematic random sampling technique was used to select study participants. Data were collected using a pretested and structured questionnaire. Bivariable and multivariable logistic regression models were done and fitted to identify predictors of failed induction. An adjusted odds ratio with 95% confidence interval (CI) was calculated to determine the level of significance.


Premature rupture of membrane was the most common cause of labor induction and the commonly used method of labor induction were oxytocin infusion. Cesarean section was done for 28.1% of induced women. Failed induction of labor was found to be 21%. Primiparous [AOR = 2.35 (1.35–4.09)], analgesia/anesthesia [AOR = 4.37 (1.31–14.59)], poor Bishop Score [AOR = 2.37 (1.16–4.84)], Birth weight ≥ 4 k grams [AOR = 2.12 (1.05–4.28)] and body mass index [AOR = 5.71 (3.26–10.01)] were found to be significantly associated with failed induction of labor.


The prevalence of failed induction of labour was found to be high. Preparation of the cervix before induction in primi-parity women is suggested to improve the success of induction. To achieve the normal weight of women and newborns, proper nutritional interventions should be given for women of reproductive age. It is better to use analgesia/anesthesia for labor induction when it becomes mandatory and there are no other optional methods of no- pharmacologic pain management.

Peer Review reports


Induction of labor (IOL) is an interventional designed to artificially initiate uterine contractions [1]. IOL should be done only when there is a clear medical indication for it and the expected benefits outweigh its potential harm [2]. In the past several years, the incidence of labor induction around the world has continued to be raised [2, 3].

Induction of labor is increased risk of poor maternal and perinatal outcomes (perianal laceration, hysterectomy, intensive care unit admission, longer hospital stay, postpartum hemorrhage, and chorioamnionitis) [4,5,6,7,8]. Cesarean delivery is increased approximately 2–3 fold in women who undergo induction of labor compared with spontaneous labor, and failed induction is the most common indication for cesarean delivery [9,10,11,12,13,14,15,16,17,18]. Health care expenses for delivery care services were significantly higher for cesarean section (270 USD) than for vaginal delivery (59 USD) [19]. In Ethiopia, the cesarean section is higher among induced women (38.44%) [20] compared to spontaneous labor (19.2%) [21].

Studies were done in American, African, and Asian countries showed that low Apgar scores at 5 min, low birth weight, neonatal intensive care unit admission, stillbirth, and delayed breastfeeding increased when labor induced [4, 8, 22, 23].

The global prevalence of obesity among women has increased from 6% in 1975 to 15% in 2016 [24]. Obese women are at increased risk of impairment of the active phase of labor (specifically dilatation arrest) and prolonged duration of active phase of labor [25, 26]. Maternal obesity and overweight are associated with adverse pregnancy outcomes [27, 28]. Recent studies have shown that maternal obesity increases the risk of obesity in children, affects fetal metabolism and tissue development through the heritage of maternal obesity-susceptible genes and cognitive performance and behavior of the offspring [29,30,31,32]. A meta-analysis study revealed that overweight and obese women contributed 21.7 to 41.7% of children overweight/obesity [33].

According to research; maternal age, gestational age, parity, bishop score, PROM, postterm, previous obstetric complications, and birth weight are the most common contributing factors for failed induction [16, 20]. However, the determinants of failed labor induction are not consistent across different health institutions and socio-demographic status across society. Therefore, this study aimed to assess the prevalence of failed induction of labor among induced women in public hospitals in Keffa, Sheka, and Bench Maji Zone, Southwest Ethiopia.


Study setting

The study was conducted at Mizan Tepi University Teaching Hospital, Gebretsadik-shaw General Hospital and Tepi General Hospital from March 1 to August 30, 2018. Those 3 hospitals are the only hospitals which provide induction of labor service in the catchment area. Based on the 2017 Population forecast, a total of 2,218,689 population, of whom 1,123,834 females lived in Bench Maji Zone, Kaffa Zone, and Sheka zones [34]. In the study area, there were 103 governmental health facilities, of which 6 hospitals and 97 health centers. During the study period, only 3 hospitals were provided induction of labor. A Hospital-based cross-sectional study was done among induced women who had a singleton pregnancy, cephalic presentation, longitudinal lie and gestational age 28 weeks and beyond during delivery services.

Sample size calculation

A single population proportion formula was used to calculate the required sample size of the study. Considering the assumptions of 95% level of confidence, 4% margin of error, and 21.4%(p) the proportion of failed induction of labor, which was taken from a previous study [35]. Considering a 10% nonresponse rate, the final sample size became 449.

Sampling procedure

A systematic random sampling technique was used to select study respondents. In these three zones, all hospitals that provided induction of labor were included in this study. Distribution of the required sample size was done based on the proportional number of labor inductions performed in each public hospital. The data (the number of labor induction in each public health hospitals) were obtained from delivery register of women prior to actual data collection. Sampling interval approaches were implemented. We calculated the sampling interval (K) using the summation of 6 months of labor induction at public hospitals, which was 1004. Then K = N/n, 1004/449 = 2.23 ≈ 2. Every 2nd induced woman was interviewed and their medical records were reviewed. To start with the first interview, we used lottery method.

Data collection tool techniques

Data were collected by interviewing women as well as reviewing their medical records. Upon admission and through the period of labor and delivery, information regarding obstetric characteristics, indications for IOL, methods used for IOL, and information about the outcome of IOL were collected. To assure the quality of data, before the actual data collection, technical training was given for data collectors and a pretest was done on 5% of the total sample size outside of the study area, which has similar characteristics to the study population. To collect all the required sample sizes, we used 6 trained diploma midwives as data collectors and 2 physicians for supervisors. The supervisors checked each filled questionnaire for completeness, accuracy, and consistency daily.

Data analysis

After data were collected, the questionnaires were coded and entered using Epi data version 3.1 and exported to SPSS software version 20 for analysis. Descriptive statistics were carried out to characterize the study population using different variables. Variables with a p-value < 0.2 in the bivariate analysis were entered into the multiple logistic regressions for further analysis. Finally, variables with a P value < 0.05 in the multivariable logistic analysis were considered statistically significant.

Operational definition

Failed induction

is defined as failure to achieve regular (e.g. every 3 min) uterine contractions and cervical change after at least 6–8 h of the maintenance dose of oxytocin administration, with artificial rupture of membranes. Artificial rupture of membranes is done for induction of labor with alive fetus. Artificial rupture of membranes is not done for induction of labor indicated with Intra-Uterine Fetal Death.


is defined as a pregnancy that advances to or beyond 42 completed weeks or 294 days of gestation from the first day of the last normal menstrual period.

Protocol and implementation of induction of labor

In the study area (in all hospitals) both mechanical (balloon catheter and Sweeping membrane) and medical (misoprostol and oxytocin) methods are employed for induction of labor depending on the favorability of the cervix. When the cervix becomes unfavorable (bishop’s score < 4), 25 μg vaginal misoprostol is given in 6 h intervals and if there is no response, the dose of misoprostol is escalated to a maximum of 200 μg for cervical ripening. Sometimes women go to the active phase of labor with misoprostol before oxytocin infusion [36]. Induction of labor in our study setting follows the national guideline protocol in which 5 IU of oxytocin is added into 1000 ml of N/S or R/L solution and adjust the number of drops every 30 min. Induction of labor starting with a low dose of oxytocin and increase every 30 min till adequate uterine contraction is achieved (Table 1, supplementary material).

Table 1 Protocol and schedule used for escalating oxytocin dosage induction of labor in the study area


Socio-demographic characteristics of participants

A total of 441 induced women were interviewed with a response rate of 98.2%. One hundred ninety-one (43.3%) women were in the age group of 24–28 with a mean age was (25.8 years + 4.89SD), 231(52.4%) women were orthodox Christian, and 247(56%) mothers lived in urban areas (Table 2).

Table 2 Socio-demographic and obstetric characteristics of induced women in public hospitals of Keffa, Sheka and Bench-Maji Zone, Southwest Ethiopia, 2018

Obstetric characteristics of participants

Two hundred fourteen (48.5%) women in the study were multipara, 258 (58.5%) of pregnancies were found in the gestational age category of 37–41 weeks. The mean fetal gestational age was 38.73 (SD ± 2.72). Of the 214 multiparous induced women, 24(11.3%) had previous obstetric complications and 18(8.4%) women were lost their last child. The Bishop scores of 310(70.3%) study participants were ≤ 5 before the induction of labor (Table 2).

Methods and indications for labor induction

One hundred forty-five (32.9%) women were induced for indication of PROM, 307 (69.6%) mothers were induced with oxytocin infusion and 246 (55.8%) mothers were induced with misoprostol (vaginal and/or oral route) (Table 3).

Table 3 Indication and method of labor induction among women delivered in public health hospitals of Keffa, Sheka and Bench-Maji Zone, South West Ethiopia, 2018

Outcomes of labor induction

Two hundred forty-three (55.1%) mothers gave normal vaginal birth, and 124 (28.1%) mothers gave birth through cesarean section. Nearly two-thirds (64.5%) of the cesarean section was done due to failed induction of labor. The rest cesarean section cases were done for indication of fetal distress and cephalo-pelvic disproportion. For those cases cesarean section was done before the status of labor induction (failed or succeed) was determined. Fifty-four (10%) induced women experienced uterine hyper-stimulation, 90(20.4%) induced women faced fetal heart rate nonreassuring, 8 (1.8%) induced women encountered uterine rupture, 57 (12.9%) induced women end up with stillbirth, 169 (38.3%) and 97 (22%) newborns had Apgar scores < 7 at 1st and 5th minutes, respectively (Table 4). Three hundred twenty-six (73.9%) mothers had given weight of 2500–3900 g newborn (Fig. 1).

Table 4 Outcomes of inductions of labor among women delivered in public health hospitals of Keffa, Sheka and Bench-Maji Zone, South West Ethiopia, 2018
Fig. 1

Newborn brith weight of induced women in public health hospitals of Keffa, Sheka and Bench-Maji Zone, South Ethopia, 2018

Failed induction of labor

In this study, ninety-two (20.9%) of the study subjects had failed induction of labor (Fig. 2).

Fig. 2

Distribution of induction of labor among women in public health hospitals of Keffa, Sheka and Bench-Maji Zone, South West Ethiopa, 2018

Factors associated with failed labor induction

Pre-induction bishop scores ≤5, birth weight ≥ 4000 g, Primiparous, analgesia/anesthesia and body mass index (kg/m2) > 24 were significant factors for failed induction of labor. The odds of induced women whose pre-induction bishop score ≤ 5 were 2.3 times more likely to have failed induction [AOR = 2.37 (1.16–4.84)]. Women whose newborn birth weight ≥ 4000 g were 2 times as likely to have failed induction as compared with women whose newborn birth weight was 2500–3900 g [AOR = 2.12 (1.05–4.28)]. The odds of failed induction were 2.3 times more likely in Primiparous [AOR = 2.35 (1.35–4.09)] than in multiparous women. The odds of failed induction were 4.3 times more likely among women who were given analgesia/anesthesia [AOR = 4.37 (1.31–14.59)] than mothers who were not given. Women whose body mass index > 24 kg/m2 were 5.7 times more likely to have failed induction as compared to their counterparts [AOR = 5.71 (3.26–10.01)] (Table 5).

Table 5 Factors associated with failed induction of labor in public hospitals of Keffa, Sheka and Benchi-Maji Zone, Southwest Ethiopia, 2018


This study revealed that failed induction of labor was found to be 20.9% (95% CI: 17.5, 24.7). This is in line with studies done in Nigeria (24.1%), WHO survey in African and Asian countries (20%), southwest Ethiopia (21.4%), and Israel (21.6%) [22, 35, 37, 38].

This finding is higher than studies done in America (15.7%) [39] and southern Ethiopia (17.3%) [20]. This difference might be due to variation in methods for induction of labor, oxytocin infusion was a commonly used method in the present study, while in the other studies, misoprostol with a balloon catheter was used as a common practice [37]. This might also be due to differences in indications for induction of labor. In our study, PROM was the most common indication in another study, elective and hypertension [8]. This is lower than that done in Latin America, 29.6% [8]. This might because there is a high rate of labor induction in high-income countries as compared to low-income countries [3, 22].

Primiparous women were 2.3 times more likely to had failed induction than multipara women. This study is similar to the previous studies; nulliparous women are at greater risk for both failed inductions and cesarean sections as compared to multiparous women [12, 16, 20, 35, 38, 40, 41]. This might be due to the higher proportion of unfavorable bishop scores in Primiparous in the study; it may also be the reason that the lack of important practices likes the use of misoprostol with oxytocin to induction in Primiparous.

Women whose body mass index > 24 kg/m2 were 5.7 times more likely to had failed induction as compared with women whose body mass index ≤24 kg/m2. This finding is supported by previous findings [38, 39, 41,42,43]. This could be due to; maternal obesity is related with a lower bishop score, women with lower bishop scores are at greater risk for failed induction [41]. In addition, to achieve vaginal delivery, obese women require more concentration, higher doses, and longer duration of exposure of uterotonics medication, using similar protocol and guidelines on labor induction for all women with different BMI to end up with higher failure rate among obese women [44, 45]. The current study has been shown that uterine contractility impairment is higher among morbid obesity women; uterine contractility dysfunction might lead to failed induction [46].

Women who were given analgesia/anesthesia were 4.3 times more likely to had failed induction as compared to women who were not given analgesia/anesthesia. This finding is supported by studies in which the earlier epidural analgesia was given during labor, the higher the probability of cesarean delivery among induced women [7, 13, 18]. This might be using epidural anesthesia during induction of labor was related to a low bishop score which increased the rate of failed induction [41].

Mothers whose pre-induction bishops score ≤ 5 were 2.3 times more likely to have failed induction as compare to mothers whose pre-induction bishop score > 5. This finding is comparable with the studies [20, 35, 38, 40].

Women whose newborn birth weight ≥ 4000 g were 2 times more likely to have failed induction as compared with women whose newborn birth weight was 2500–3900 g. This study is supported by the previous studies [16, 39]. This might happened due to the mean birth weight of neonates were higher among women who had greater BMI [44], larger BMI leads to lower bishop scores, and failed induction of labor [41].

Limitation of the study

The economic situation of participants might be one of the causes that could affect the failed induction of labor. However, majority of the women who were participated in this study were house wives and did not remember the economic status the family. Some of the study variables had wider CI and this might not happened if the sample size was larger.


The prevalence of failed induction of labor was high in the study area. Variables that increased the likelihood of failed induction were body mass index > 24 kg/m2, bishop score ≤ 5, Primiparous, birth weight ≥ 4000 g, and using analgesia/anesthesia. Preparation of the cervix before starting induction in Primiparous women is recommended to improve the success of induction. To achieve the normal weight of women and newborns, proper nutritional interventions should be given for women of reproductive age. Consider the risk of failed induction in case of the provision of analgesia/anesthesia.

Availability of data and materials

When an ethics statement was obtained from the zonal health office, hospitals, and women, we had agreed and signed not to publish the raw data retrieved from the induced women. However, the datasets collected and analyzed for the current study are available from the corresponding author and can be obtained on a reasonable request.



Adjusted Odd Ratio


Confidence Intervals


Induction of Labor


Prelabor Rupture of the Membranes


Statistical Package for Social Scientists


United States dollar


  1. 1.

    Mathai M, Sanghvi H, Guidotti RJ. Managing complications in pregnancy and childbirth: a guide for midwives and doctors. World Health Organization; 2003.

    Google Scholar 

  2. 2.

    WHO Guidelines Approved by the Guidelines Review Committee. WHO recommendations: Induction of labour at or beyond term. Geneva: World Health Organization © World Health Organization; 2018. p. 2018.

    Google Scholar 

  3. 3.

    WHO guidelines approved by the guidelines review committee. WHO recommendations for Induction of Labour. Geneva: World Health Organization© World Health Organization; 2011. p. 2011.

    Google Scholar 

  4. 4.

    Guerra GV, Cecatti JG, Souza JP, Faúndes A, Morais SS, Gülmezoglu AM, et al. Elective induction versus spontaneous labour in Latin America. Bull World Health Organ. 2011;89:657–65.

  5. 5.

    Nyfløt LT, Sandven I, Stray-Pedersen B, Pettersen S, Al-Zirqi I, Rosenberg M, et al. Risk factors for severe postpartum hemorrhage: a case-control study. BMC Pregnancy Childbirth. 2017;17(1):17.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Khireddine I, Le Ray C, Dupont C, Rudigoz RC, Bouvier-Colle MH, Deneux-Tharaux C. Induction of labor and risk of postpartum hemorrhage in low risk parturients. PLoS One. 2013;8(1):e54858.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  7. 7.

    Kruit H, Heikinheimo O, Ulander V-M, Aitokallio-Tallberg A, Nupponen I, Paavonen J, et al. Management of Foley catheter induction among nulliparous women: a retrospective study. BMC Pregnancy Childbirth. 2015;15:276.

    Article  Google Scholar 

  8. 8.

    Guerra GV, Cecatti JG, Souza JP, Faúndes A, Morais SS, Gülmezoglu AM, et al. Factors and outcomes associated with the induction of labour in Latin America. BJOG. 2009;116(13):1762–72.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    NICE Clinical guideline Induction of labour NHS national institute for health and clinical excellence 2008.

    Google Scholar 

  10. 10.

    Levine LD, Hirshberg A, Srinivas SK. Term induction of labor and risk of cesarean delivery by parity. J Matern Fetal Neonatal Med. 2014;27(12):1232–6.

    Article  PubMed  Google Scholar 

  11. 11.

    Cammu H, Martens G, Ruyssinck G, Amy JJ. Outcome after elective labor induction in nulliparous women: a matched cohort study. Am J Obstet Gynecol. 2002;186(2):240–4.

    Article  PubMed  Google Scholar 

  12. 12.

    Luthy DA, Malmgren JA, Zingheim RW. Cesarean delivery after elective induction in nulliparous women: the physician effect. Am J Obstet Gynecol. 2004;191(5):1511–5.

    Article  PubMed  Google Scholar 

  13. 13.

    Vrouenraets FP, Roumen FJ, Dehing CJ, van den Akker ES, Aarts MJ, Scheve EJ. Bishop score and risk of cesarean delivery after induction of labor in nulliparous women. Obstet Gynecol. 2005;105(4):690–7.

    Article  PubMed  Google Scholar 

  14. 14.

    Vahratian A, Zhang J, Troendle JF, Sciscione AC, Hoffman MK. Labor progression and risk of cesarean delivery in electively induced nulliparas. Obstet Gynecol. 2005;105(4):698–704.

    Article  PubMed  Google Scholar 

  15. 15.

    Yeast JD, Jones A, Poskin M. Induction of labor and the relationship to cesarean delivery: a review of 7001 consecutive inductions. Am J Obstet Gynecol. 1999;180(3 Pt 1):628–33.

    CAS  Article  PubMed  Google Scholar 

  16. 16.

    Prysak M, Castronova FC. Elective induction versus spontaneous labor: a case-control analysis of safety and efficacy. Obstet Gynecol. 1998;92(1):47–52.

    CAS  Article  PubMed  Google Scholar 

  17. 17.

    Ehrenthal DB, Jiang X, Strobino DM. Labor induction and the risk of a cesarean delivery among nulliparous women at term. Obstet Gynecol. 2010;116(1):35–42.

    Article  PubMed  Google Scholar 

  18. 18.

    Davey M-A, King J. Caesarean section following induction of labour in uncomplicated first births- a population-based cross-sectional analysis of 42,950 births. BMC Pregnancy Childbirth. 2016;16:92.

    Article  Google Scholar 

  19. 19.

    Douangvichit D, Liabsuetrakul T, McNeil E. Health care expenditure for hospital-based delivery care in Lao PDR2012. p. 30.

  20. 20.

    Hurissa B, Geta M, Belachew T. Prevalence of failed induction of labor and associated factors among women delivered in Hawassa public health facilities, Ethiopia, 2015. J Women’s Health Care. 2015;4(253):2167–0420.1000253.

    Google Scholar 

  21. 21.

    Bayou YT, Mashalla YJS, Thupayagale-Tshweneagae G. Patterns of caesarean-section delivery in Addis Ababa, Ethiopia. Afr J Prim Health Care Fam Med. 2016;8(2):953.

    Article  Google Scholar 

  22. 22.

    Vogel JP, Souza JP, Gulmezoglu AM. Patterns and outcomes of induction of labour in africa and asia: a secondary analysis of the who global survey on maternal and neonatal health. PLoS One. 2013;8(6):e65612.

  23. 23.

    Wetta L, Tita AT. Early term births: considerations in management. Obstet Gynecol Clin N Am. 2012;39(1):89–97.

    Article  Google Scholar 

  24. 24.

    Jaacks LM, Vandevijvere S, Pan A, McGowan CJ, Wallace C, Imamura F, et al. The obesity transition: stages of the global epidemic. Lancet Diabetes Endocrinol. 2019;7(3):231–40.

    Article  PubMed  PubMed Central  Google Scholar 

  25. 25.

    Verdiales M, Pacheco C, Cohen WR. The effect of maternal obesity on the course of labor. J Perinat Med. 2009;37(6):651–5.

    Article  Google Scholar 

  26. 26.

    Carlhäll S, Källén K, Blomberg M. Maternal body mass index and duration of labor. Eur J Obstet Gynecol Reprod Biol. 2013;171(1):49–53.

    Article  PubMed  Google Scholar 

  27. 27.

    Athukorala C, Rumbold AR, Willson KJ, Crowther CA. The risk of adverse pregnancy outcomes in women who are overweight or obese. BMC Pregnancy Childbirth. 2010;10(1):56.

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Rahman MM, Abe SK, Kanda M, Narita S, Rahman MS, Bilano V, et al. Maternal body mass index and risk of birth and maternal health outcomes in low- and middle-income countries: a systematic review and meta-analysis. Obes Rev. 2015;16(9):758–70.

    CAS  Article  PubMed  Google Scholar 

  29. 29.

    Maffeis C, Morandi A. Effect of maternal obesity on Foetal growth and metabolic health of the offspring. Obes Facts. 2017;10(2):112–7.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Freeman DJ. Effects of maternal obesity on fetal growth and body composition: implications for programming and future health. Semin Fetal Neonatal Med. 2010;15(2):113–8.

    Article  PubMed  Google Scholar 

  31. 31.

    Contu L, Hawkes CA. A review of the impact of maternal obesity on the cognitive function and mental health of the offspring. Int J Mole Sci. 2017;18(5):1093.

  32. 32.

    Patro Golab B, Santos S, Voerman E, Lawlor DA, Jaddoe VWV, Gaillard R. Influence of maternal obesity on the association between common pregnancy complications and risk of childhood obesity: an individual participant data meta-analysis. Lancet Child Adolesc Health. 2018;2(11):812–21.

    Article  PubMed  Google Scholar 

  33. 33.

    Voerman E, Santos S, Patro Golab B, Amiano P, Ballester F, Barros H, et al. Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis. PLoS Med. 2019;16(2):e1002744.

    Article  Google Scholar 

  34. 34.

    Ababa A. Federal Democratic Republic of Ethiopia central statistical agency population projection of Ethiopia for all regions at Wereda level from 2014–2017. Central Statistical Agency: Addis Ababa; 2014.

    Google Scholar 

  35. 35.

    Girma W, Tseadu F, Wolde M. Outcome of induction and associated factors among term and post-term mothers managed at Jimma University specialized hospital: a two Years' retrospective analysis. Ethiop J Health Sci. 2016;26(2):121–30.

    Article  PubMed  PubMed Central  Google Scholar 

  36. 36.

    Health FMo. Management protocol on selected obstetrics topics. Federal Democratic Republic of Ethiopia; 2010.

  37. 37.

    Lawani OL, Onyebuchi AK, Iyoke CA, Okafo CN, Ajah LO. Obstetric outcome and significance of labour induction in a health resource poor setting. Obstet Gynecol Int. 2014;2014:419621.

    Article  Google Scholar 

  38. 38.

    Melamed N, Yariv O, Hiersch L, Wiznitzer A, Meizner I, Yogev Y. Labor induction with prostaglandin E2: characteristics of response and prediction of failure. J Matern Fetal Neonatal Med. 2013;26(2):132–6.

    CAS  Article  PubMed  Google Scholar 

  39. 39.

    Wolfe KB, Rossi RA, Warshak CR. The effect of maternal obesity on the rate of failed induction of labor. Am J Obstet Gynecol. 2011;205(2):128.e1–7.

    Article  Google Scholar 

  40. 40.

    Batinelli L, Serafini A, Nante N, Petraglia F, Severi FM, Messina G. Induction of labour: clinical predictive factors for success and failure. J Obstetr Gynaecol. 2018;38(3):352–8.

    Article  Google Scholar 

  41. 41.

    Little J, Nugent R, Vangaveti V. Influence of maternal obesity on bishop score and failed induction of labour: a retrospective cohort study in a regional tertiary centre. Aust N Z J Obstet Gynaecol. 2019;59(2):243–50.

    Article  PubMed  Google Scholar 

  42. 42.

    Ferrazzi E, Brembilla G, Cipriani S, Livio S, Paganelli A, Parazzini F. Maternal age and body mass index at term: risk factors for requiring an induced labour for a late-term pregnancy. Eur J Obstet Gynecol Reprod Biol. 2019;233:151–7.

    Article  PubMed  Google Scholar 

  43. 43.

    Maged AM, El-Semary AM, Marie HM, Belal DS, Hany A, Taymour MA, et al. Effect of maternal obesity on labor induction in postdate pregnancy. Arch Gynecol Obstet. 2018;298(1):45–50.

    Article  PubMed  Google Scholar 

  44. 44.

    Adams AD, Coviello EM, Drassinower D. The effect of maternal obesity on oxytocin requirements to achieve vaginal delivery. Am J Perinatol. 2020;37(4):349–56.

    Article  Google Scholar 

  45. 45.

    Roloff K, Peng S, Sanchez-Ramos L, Valenzuela GJ. Cumulative oxytocin dose during induction of labor according to maternal body mass index. Int J Gynaecol Obstetr. 2015;131(1):54–8.

    CAS  Article  Google Scholar 

  46. 46.

    Luca AM, Carvalho JCA, Ramachandran N, Balki M. The effect of morbid obesity or advanced maternal age on oxytocin-induced myometrial contractions: an in vitro study. Can J Anaesth. 2020;67(7):836–46.

    CAS  Article  PubMed  Google Scholar 

Download references


The authors would like to thank Mizan-Tepi University for technical support and ethical approval, study participants, and data collectors.


This work has been funded by Mizan-Tepi University for data collection. This organization did not involve in designing, analysis, and critical review of its intellectual content, preparation for manuscript, and the budget funded by this organization did not include publication.

Author information




AGE: Initiated the idea, wrote the proposal, and participated in designing the methodology, supervising the data collection process, analyses the data, and wrote the final paper and manuscript based on the journal’s criteria. SHL: contributed to the designing of the study, proposal writing and supervise the data collection process. All authors have read, reviewed, and approved the final version of the manuscript

Corresponding author

Correspondence to Amare Genetu Ejigu.

Ethics declarations

Ethics approval and consent to participate

Ethical clearance was obtained from the ethical review committee of Mizan-Tepi University. The aim and purpose of the study were described to the study respondents. The respondents were involved in the study after they gave informed verbal and written consent to participate in the study. This study was conducted “in accordance with the Declaration of Helsinki.” Data were taken from respondents. Therefore, confidentiality of respondent data was kept and the data were not used for other purposes other than the purpose of the current study. The minimum age of women who participated in this study was 19. Study respondents were informed about the right to refuse or withdraw from the study when they feel discomfort.

Competing interests

There are no conflicts of interest.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ejigu, A.G., Lambyo, S.H. Predicting factors of failed induction of labor in three hospitals of Southwest Ethiopia: a cross-sectional study. BMC Pregnancy Childbirth 21, 387 (2021).

Download citation


  • Labor induction
  • Failed induction
  • Cesarean section
  • And Ethiopia