Magnitude of Obstructed Labor and Associated Risk Factors among Mothers Come for Delivery Service in Adama Hospital Medical College, Oromia Regional State, Central Ethiopia

Abstract

Abstract:Background: Obstructed labor is one of the common preventable causes of maternal and perinatal morbidity and mortality in developing countries. In the last decade among the top four causes of maternal mortality, obstructed labor /uterine rupture accounted for 36% of maternal mortality in Ethiopia. The aim of this study was to determine magnitude of obstructed labor and its associated risk factors among mothers come for delivery services in Adama Hospital Medical College from June 01 to July 30, 2015. Methods: Hospital-based cross-sectional study was employed. Descriptive statistics was used to summarize socio-demographic variables and characteristics of delivery. Using binary logistic regression analysis, Odds ratio and confidence interval were used to determine statistically associated risk factors with obstructed labor. Result: Of 384 deliveries during the study period 9.6% were obstructed labor cases. The causes of obstructed labor identified by clinician on mother medical record were CPD (54.1%), mal-position (29.7%) and mal-presentation 16.2%). The independent predictors of obstructed labor using logistic regression analysis were duration of labor before arrival to the health facility greater than 24 hour (OR: 6.2; 95%CI: 2.7, 14.2), 4 to 6 hours of travel to health facility (OR: 2.9; 95%CI: 1.1, 10.6), malpresentation (OR: 6; 95%CI: 1.7, 12.8) and fetal weight greater than 4 Kilo gram (OR: 11.2; 95%CI: 2.4, 13.2). Conclusion: magnitude of OL is comparatively higher, especially among mothers of low educational status. Socio-demographic and health system factors increase the risk of obstructed labor. As most of the risk factors associated with obstructed labor need long term exposure for the outcome to be seen, prevention need inter sectoral collaboration from education, agriculture, health and other social sectors.

Magnitude and Factors Associated With Obstructed Labor among Women Delivered at Halaba Kulito Primary Hospital, Halaba Special District, Southern Ethiopia

“…In present study, malpresentation was significantly associated with obstructed labor. This finding was almost found to be a universal fact and has been revealed in many studies [3,4,15,17] and texts [1]. This study clearly shares the limitations of cross-sectional studies and the retrospective nature of the study and lack of some important variables due to inappropriate and/or non-recording of certain variables.…”

“…Gimbi Hospital (18.1%) [16]. However, this study found out a higher prevalence of obstructed labor compared to other Hospital based study in, Ilu Ababora Zone, Adama, Jimma and Mizan where 4.1%, 9.6%, 12.2% and 7.95% respectively [8,17,25,26].This variation may be due to difference in the skills of data collectors, study area and methodology. And it is lower than study West Harerghe Zone 34.3% [9] and Nigeria (20.5%) [23].…”

“…Data were collected by using a pre-tested checklist from maternal cards. The checklist was developed based on instruments that were applied in other related studies [8][9][10][11][12][13][14][15][16][17][18][19][23][24][25][26]. Obstetric related characteristics and medical illness.…”

“…If the duration of obstructed labor is prolonged without intervention, the fetus dies because of anoxia by excessive pressure on the placenta and umbilical cord. living environment, parity (primipara and grand multipara, age between 15-19 [15,16], pervious history of obstructed labor [15], malpresentation [16,17] and birth weight >4 kg [16,17].…”

One-sixth of women experienced obstructed labor among those delivered at public hospitals in Southern Ethiopia: A multicenter study

“…The questionnaire was developed based on the Ethiopian Demographic Health Survey data collection tool and other relevant works of literature. 17 , 19 The questionnaire contains two parts: the sociodemographic characteristics, health facility-related characteristics, and obstetric characteristics. Data collection was carried out by five BSc midwifery as data collectors while two MSc Midwifery were nominated as supervisors for 1 month.…”