Background: Moral distress, defined as moral suffering or a psychological imbalance, can affect nursing students. However, many new instruments or adaptations of other scales that are typically used to measure moral distress have not been used for nursing students. Aim: This study aimed to translate, culturally adapt and evaluate the psychometric properties of an Italian version of the Moral Distress Scale for Nursing Students for use with delayed nursing students. Research design: The study used a cross-sectional research design. Participants and (...) research context: Incidental sampling resulted in a sample of 282 delayed nursing students enrolled between May and August 2020 in a University of central Italy. Ethical considerations: The research protocol was approved by the internal review board of the university, and all participants provided their written informed consent. Results: The study confirmed a multidimensional second-order factorial structure for the It-ESMEE with five dimensions: improper institutional conditions to teach user care, authoritarian teaching practices, disrespect for the ethical dimension of vocational training, lack of competence of the teacher and commitment of ethical dimension of user care. The internal consistency was high, and the standard error of measurement and smallest detectable change were adequate. Discussion: The It-ESMEE is able to assess moral distress in delayed nursing students with good validity and reliability. It can be used in research and to determine moral distress levels, helping teachers to monitor the condition in nursing students. Conclusion: This instrument can help in comprehending moral distress, enabling students to develop coping and intervention strategies to maintain their well-being, and to ensure the quality of nurse education. (shrink)

We investigate the problem of “wave packet reduction” in quantum mechanics by solving the Schrödinger equation for a system composed of a model measuring apparatusM interacting with a microscopic objects. The “instrument” is intended to be somewhat more realistic than others previously proposed, but at the same time still simple enough to lead to an explicit solution for the time-dependent density matrix. It turns out that,practically, everything happens as if the wave packet reduction had occurred. This is a consequence of (...) the fact that the apparatus is made up of a very large number of microsystems interacting withs. More precisely, our model shows that the “macroscopic size” of a measuring apparatus can lead by itself to a density matrix for the systemM + s which is physically equivalent to the density matrix of a statistical mixture corresponding to the reduced wave packet. (shrink)