Background: Uterine rupture is one of the most devastating complications of labour that exposes the mother and foetus to grave danger hence contributing to the high maternal and perinatal mortality and morbidity in Uganda. Every year, 6000 women die due to complications of pregnancy and childbirth, uterine rupture accounts for about 8% of all maternal deaths.The objective of this study was to establish the incidence of uterine rupture, predisposing factors, maternal and fetal outcomes and modes of management at a regional referral university hospital in South-western Uganda. Methods. Case-control design of women with uterine rupture during 2005-2006. Controls were women who had spontaneous vaginal delivery or were delivered by caesarean section without uterine rupture as a complication. For every case, three consecutive in-patient chart numbers were picked and retrieved as controls. All available case files, labour ward and theater records were reviewed. Results: A total of 83 cases of uterine rupture out of 10940 deliveries were recorded giving an incidence of uterine rupture of 1 in 131 deliveries. Predisposing factors for uterine rupture were previous cesarean section delivery(OR 5.3 95% CI 2.7-10.2), attending 5 km from the facility (OR 10.86 95% CI 1.46-81.03). There were 106 maternal deaths during the study period giving a facility maternal mortality ratio of 1034 /100,000 live births, there were 10 maternal deaths due to uterine rupture giving a case fatality rate of 12%. Conclusion: Uterine rupture still remains one of the major causes of maternal and newborn morbidity and mortality in Mbarara Regional referral Hospital in Western Uganda. Promotion of skilled attendance at birth, use of family planning among those at high risk, avoiding use of herbs during pregnancy and labour, correct use of partograph and preventing un necesarry c-sections are essential in reducing the occurences of uterine repture. © 2013 Mukasa et al.; licensee BioMed Central Ltd.
The study setting was Mbarara University of Science and Technology teaching hospital which is located in Mbarara Municipality, and 286 km south west of Kampala the Capital city of Uganda. It is a public hospital funded by Government of Uganda through the Ministry of Health. It is the referral hospital for south western Uganda serving 10 districts with a population of more than 2.5 million people. It also receives patients from neighbouring countries of Rwanda, Tanzania and Democratic Republic of Congo. It handles on average 10,000 deliveries per year. Uterine rupture was defined as tearing of the uterine wall either partially or complete during pregnancy and labour, diagnosed either clinically and later confirmed at laparotomy. The cases were retrospectively collected from the maternity ward and operating theatre registers as well as from the patients’ case files at the hospital medical records office. Controls were women who had spontaneous vaginal delivery or were delivered by caesarean section without uterine rupture as a complication. For every case, three consecutive in-patient chart numbers were picked and retrieved as controls. Data was abstracted from the maternity ward and operating theatre registers as well as from the patients’ case files at the hospital medical records office using a pre tested case report form (CRF). Information on the patients’ age, tribe, address, occupation, religion, parity, previous caesarean section, antenatal care attendance, estimated distance of residence from the hospital, place of intrapartum care, subsequent rupture, type of surgical intervention (total or sub-total hysterectomy, repair without bilateral tubal ligation [BTL] or repair with BTL), maternal and foetal outcomes, length of postoperative hospital stay and other relevant information were collected. The total number of cases of uterine rupture and deliveries from the maternity ward admission register was validated with the annual Health Management Information System (HMIS) reports. The data collectors were midwives who were trained to collect data from women’s obstetric files or charts and to validate the diagnosis of obstructed labour using admission, delivery and theatre registers. Thought the data collection period which lasted 4 weeks, I was providing oversight and supervision to prevent under reporting. The data were entered and analyzed using SPSS statistical software, version 12.0 (SPSS, Chicago, IL, USA). Descriptive statistics were obtained through frequencies and cross tabulations. Comparison between groups was made using the x2 tests and Fisher exact test when appropriate. All analyses were two-tailed and the level of significance was set at 5%. Ethical approval was obtained from Mbarara University Institutional Ethical Research Committee. Permission to access obstetric records was obtained from the medical director of the hospital and these were anonymously entered into the database.
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