Partograph Utilization and Associated Factors among Graduating Health Professional Students in Asella Referral and Teaching Hospital, Ethiopia, 2016

Background: Outcome of labor and delivery are unpredictable events, which if not monitored properly can result in a maternal and fatal mortality and morbidity. The World Health Organization (WHO) promotes the use of the partograph to monitor and improve the management of labor and to support decision-making regarding interventions. Objective: This study aimed to assess proper utilization of partograph and its associated factors. Methodology: This cross-sectional study was conducted on 127 participants in Asella, Teaching and Referral Hospital, Ethiopia in 2016. Study subjects were selected conveniently among graduating health professional students who were attended in delivery ward during study period .Data were collected by self-administered structured questionnaire and analysis was performed in SPSS version 20. Bivariate and multivariate logistic regression analysis was used to identify the associations of each explanatory variable with the outcome variable. Finally, odds ratio with its 95% confidence interval and p-value of 0.05 was used to identify significant variables. Result: Out of 127 obstetric care providers, 26% used partograph to monitor labor. Those who were midwives by profession (AOR=2.60,95%CI:1.01,6.68), knowledgeable (AOR=4.32,95% CI:1.41,13.25), being male sex(AOR=0.432, 95% CI: 0.19, 0.99) and availability partograph in the ward (AOR=3.32,95%CI:1.17,9.39) were factors significantly associated with partograph utilization. Conclusion: In this study partograph utilization was found very poor. Hence, relevant authorities have to facilitate for its routine utilization and develop protocols and efforts should be made to maintain a high utilization of it to improve maternal and fetal well- being. Keywords: Ethiopia, Partograph, Utilization Cite this Article Daniel Bekele, Kassahun Beyene, Leta Hinkosa et al. Partograph Utilization and Associated Factors among Graduating Health Professional Students in Asella Referral and Teaching Hospital, Ethiopia, 2016. Research & Reviews: A Journal of Computational Biology . 2017; 6(2): 12–18p.