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Abstract Background A safe and satisfactory childbirth experience with the least amount of pain constitutes one of the main domains of reproductive healthcare. The most important aspect of labor pain management is the moral and professional commitment of the health professionals and caregivers involved in creating a pleasant delivery. The present study examines the relationship between Iranian women’s perceptions of their birth team’s compliance with medical ethics and their perception of labor pain. Methods This cross-sectional study was conducted on 200 women opting for natural childbirth. The samples were selected by convenience sampling. Three questionnaires, including a demographic information questionnaire, the perception of labor pain questionnaire, and the medical ethics attitude in vaginal delivery questionnaire, were used to collect data. The data were entered into SPSS 22 and analyzed using correlation coefficient and multiple regression tests. The significance level for data analysis was set as less than 0.05. Results The results of the regression analysis showed that among the four principles of medical ethics, only the second and third principles (beneficence and non-maleficence) predicted the perception of labor pain (B = -0.267, P

Abstract Background Pregnant women have an increased risk of Plasmodium infections and disease. Malaria in pregnancy is a major public health problem in endemic areas. Assessment of the burden and risk factors of malaria in pregnancy across different malaria transmission settings is required to guide control strategies and for malaria elimination. Thus, the current study is generating such evidence from parturient women in northwest Ethiopia. Methods A cross-sectional study was conducted among 526 pregnant women admitted to the delivery rooms of selected health facilities in Jawi district, northwest Ethiopia, between November 2021 and July 2022. Data on the socio-demographic, clinical, obstetric, and malaria prevention practices of pregnant women were collected using interviewer-administered questionnaires and from women’s treatment cards. Malaria was diagnosed by light microscopy, rapid diagnostic test, and multiplex real-time polymerase chain reaction. Risk factors for malaria were evaluated using bivariable and multivariable logistic regression models. A P-value of