The recent evidence has demonstrated that globally, many women experience mistreatment during labor and delivery in health facilities. This can pose a significant barrier to women attending facilities for delivery and can contribute to poor birth experience and adverse outcome for the woman and newborn. The objective of this study was to assess the magnitude of mistreatment among delivering mothers and associated factors in Bishoftu general hospital from June-December, 2018. An institutional based cross-sectional study design was conducted. A Single population proportion formula was used to select a total of 377 participants. The convenience sampling method was employed to select the study participants and Focused Group Discussion was conducted for qualitative data collection. The collected Data was coded, cleaned, by using Epi. Info and analyzed by SPSS 20. Principally, binary logistic regression model was used to indicate the association between the study variables. The Association between independent and dependent variable were considered significant when the pvalue is less than 0.05 in the final model. Qualitative data from the Focus Group Discussions were analyzed and presented thematically. In this study, 55.8% (95%CI: 51.2, 61.9) of the interviewed mothers reported having perceived at least one form of mistreatment. The types of mistreatment during childbirth included physical abuse (21.1%), non-consented care (27.4%), non-confidential care (11.7%), non-dignified care (9.7%), abandonment (24.8%), and discrimination (11.4%). Parity (AOR=1.85, 95% CI= 1.05, 3.24) and mode of delivery (AOR=1.75, 95% CI=1.09, 2.81) were factors significantly associated with mistreatment. This study has shown that the proportion of mistreatment during health facility childbirth in Bishoftu General Hospital was high. Parity and modes of delivery were significantly associated with mistreatment. Efforts to improve quality of maternal care should include greater training and monitoring of providers to ensure respectful treatment of patients.
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