RESUMO
BACKGROUND: The principle of human dignity is woven into the ethical principles of the midwifery profession, noted as both an obligation and a human right. RESEARCH OBJECTIVES: The aim of this study is to explore the experiences of midwifery students regarding threats to women's dignity during childbirth. RESEARCH DESIGN: This is a qualitative study with explorative design. Participants and Research Context: The research was carried out in 2022 at Kermanshah University of Medical Sciences, involving 32 midwifery students in individual interviews that lasted between 30 and 90 minutes. These participants aged 21 to 28 years, with an average age of 23.5 years, provided their perspectives on the matter. RESULTS: Four key themes described the threats to women's dignity during childbirth: 1) professional incompetence, 2) abuse of power imbalance, 3) caring only for physical and not mental health, and 4) structural issues within the healthcare system. Professional incompetence was characterized by outdated practices and lack of adherence to evidence-based medicine. Abuse of power imbalance was demonstrated in instances where the authoritative position of healthcare providers was misused, thereby disrupting the respectful care that women are entitled to receive. The disproportionate emphasis on physical health over mental health was evidenced by the disregard for mothers' psychological well-being during childbirth. Lastly, systemic structural issues emerged as significant impediments, revealing the need for system-wide changes. Ethical considerations: This study was approved by the Ethics Committee of the Research Deputy at Kermanshah University. Participation was voluntary and the confidentiality were maintained. CONCLUSION: The findings underscore the role that unprofessional behavior, ethical lapses in medical practices, and systemic challenges play in undermining maternal dignity during childbirth. These threats necessitate urgent attention and must be adequately addressed in policy development and program implementation to safeguard the dignity of mothers during childbirth.
RESUMO
Background: With the growing rate of cesarean sections, rising morbidity and mortality thereafter is an important health issue. Predictive models can identify individuals with a higher probability of cesarean section, and help them make better decisions. This study aimed to investigate the biopsychosocial factors associated with the method of childbirth and designed a predictive model using the decision tree C4.5 algorithm. Methods: In this cohort study, the sample included 170 pregnant women in the third trimester of pregnancy referring to Shahroud Health Care Centers (Semnan, Iran), from 2018 to 2019. Blood samples were taken from mothers to measure the estrogen hormone at baseline. Birth information was recorded at the follow-up time per 30-42 days postpartum. Chi square, independent samples t test, and Mann-Whitney were used for comparisons between the two groups. Modeling was performed with the help of MATLAB software and C4.5 decision tree algorithm using input variables and target variable (childbirth method). The data were divided into training and testing datasets using the 70-30% method. In both stages, sensitivity, specificity, and accuracy were evaluated by the decision tree algorithm. Results: Previous method of childbirth, maternal body mass index at childbirth, maternal age, and estrogen were the most significant factors predicting the childbirth method. The decision tree model's sensitivity, specificity, and accuracy were 85.48%, 94.34%, and 89.57% in the training stage, and 82.35%, 83.87%, and 83.33% in the testing stage, respectively. Conclusion: The decision tree model was designed with high accuracy successfully predicted the method of childbirth. By recognizing the contributing factors, policymakers can take preventive action.It should be noted that this article was published in preprint form on the website of research square (https://www.researchsquare.com/article/rs-34770/v1).