Moral distress and professors of nursing: A cluster analysis

Abstract

Background Professors of nursing sometimes experience specific situations in their daily practice that conflict with their values and ethical principles and may culminate in moral distress. Moral distress occurs when one is prevented from acting according to his or her knowledge or values, or what one considers to be ethically sound. Objectives To identify the profile of professors of nursing through grouping sociodemographic characteristics and intensity of moral distress. Method Cross-sectional and exploratory study addressing 373 nurses teaching in Brazilian federal public higher education institutions. Data were collected from June to December 2018 through email, using the Google Docs tool. A moral distress scale directed to nurse educators was used. Data were analyzed using descriptive statistics, variance analysis, and cluster analysis. Ethical considerations The Institutional Review Board at the Federal University of Rio Grande approved this study. Findings Initially, four clusters emerged for each variable predicting the profile of Brazilian professors of nursing: sex; whether the individual worked in a graduate program; age; experience in years in their respective higher education institution; and intensity of moral distress. The profile of Brazilian professors of nursing was represented by the largest cluster, 36.5% (n = 136), composed of women working in graduate programs, aged 37 years old on average, having worked in their respective institutions for approximately 5 years, and presenting a moderate intensity of moral distress. Conclusion Assigning individuals into groups facilitates seeing similarities among the predictors that compose the profile of Brazilian professors of nursing, thus recognizing those workers experiencing moral distress in their daily work routine. In addition, this study’s results are expected to encourage reflection on the planning of efficacious interventions directed to the context of education and health.