Stage of labor at admission among Ugandan women with a prior cesarean, and its impact on management and delivery outcomes

Int J Gynaecol Obstet. 2017 Oct;139(1):14-20. doi: 10.1002/ijgo.12252. Epub 2017 Jul 19.

Abstract

Objective: To describe stage of labor at admission among women with a prior cesarean, and examine its impact on intrapartum management and delivery mode.

Methods: In a prospective cohort study, women admitted to Mbarara Regional Referral Hospital, Uganda, for delivery were enrolled between March and June 2015. Rates of vaginal delivery (VBAC) and in-hospital trial of labor (TOL) were compared between early (<4 cm dilation) and late (≥4 cm) presenters. Women were interviewed after delivery about decision making and labor preferences.

Results: Overall, 188 women comprised the study sample; 98 (52.1%) and 65 (34.6%) women presented at ≥4 cm and ≥6 cm, respectively, and 18 (9.6%) were fully dilated. In-hospital TOL and VBAC rates were 25.5% (42/165) and 9.6% (18/188), respectively. Compared with early presenters, late presenters were significantly more likely to undergo TOL (28/88 [31.8%] vs 14/77 [18.2%]; odds ratio [OR] 2.3, 95% confidence interval [CI] 1.1-5.0), and achieve VBAC (16/98 [16.3%] vs 2/90 [2.2%]; OR 7.6, 95% CI 1.7-35.1).

Conclusion: Most women arrived in active labor, but most had a repeat cesarean. Work is needed to understand the clinical decision making and provider management driving low TOL and VBAC rates.

Keywords: Intrapartum decision making; Repeat cesarean delivery; Trial of labor after cesarean; Uganda; Vaginal birth after cesarean.

MeSH terms

  • Adolescent
  • Adult
  • Cesarean Section, Repeat / statistics & numerical data*
  • Cohort Studies
  • Decision Support Systems, Clinical
  • Female
  • Humans
  • Interviews as Topic
  • Labor Stage, Second
  • Labor Stage, Third
  • Maternal Health Services
  • Patient Admission*
  • Pregnancy
  • Pregnancy Outcome
  • Prospective Studies
  • Trial of Labor*
  • Uganda / epidemiology
  • Vaginal Birth after Cesarean / statistics & numerical data*
  • Young Adult