Georgina Morley1, Caroline Bradbury-Jones2, Jonathan Ives3. 1. Center for Bioethics and Stanley, S.Zielony Institute for Nursing Excellence, Cleveland Clinic, Cleveland, Ohio, United States of America. 2. School of Nursing, University of Birmingham, Birmingham, United Kingdom of Great Britain and Northern Ireland. 3. Centre for Ethics in Medicine, University of Bristol, Birstol, United Kingdom of Great Britain and Northern Ireland.
Abstract
AIMS AND OBJECTIVES: To explore moral distress empirically and conceptually, to understand the factors that mitigate and exacerbate moral distress and construct a model that represents how moral distress relates to its constituent parts and related concepts. BACKGROUND: There is ongoing debate about how to understand and respond to moral distress in nursing practice. DESIGN: The overarching design was feminist empirical bioethics in which feminist interpretive phenomenology provided the tools for data collection and analysis, reported following the COREQ guidelines. Using reflexive balancing, the empirical data were combined with feminist theory to produce normative recommendations about how to respond to moral distress. The Moral Distress Model presented in this paper is a culmination of the empirical data and theory. METHODS: Using feminist interpretive phenomenology, critical care nurses in the United Kingdom (n = 21) were interviewed and data analysed. Reflexive Balancing was used to integrate the data with feminist theory to provide normative recommendations about how to understand moral distress. RESULTS: There are five compounding factors that exacerbate/ mitigate nurses' experiences of moral distress: epistemic injustice; the roster lottery; conflict between one's professional and personal responsibilities; ability to advocate and team dynamics. In addition to the causal connection and responses to moral distress, these factors make up the moral distress model which can guide approaches to mitigate moral distress. CONCLUSIONS: The Moral Distress Model is the culmination of these data and theorising formulated into a construct to explain how each element interacts. We propose that this model can be used to inform the design of interventions to address moral distress.
AIMS AND OBJECTIVES: To explore moral distress empirically and conceptually, to understand the factors that mitigate and exacerbate moral distress and construct a model that represents how moral distress relates to its constituent parts and related concepts. BACKGROUND: There is ongoing debate about how to understand and respond to moral distress in nursing practice. DESIGN: The overarching design was feminist empirical bioethics in which feminist interpretive phenomenology provided the tools for data collection and analysis, reported following the COREQ guidelines. Using reflexive balancing, the empirical data were combined with feminist theory to produce normative recommendations about how to respond to moral distress. The Moral Distress Model presented in this paper is a culmination of the empirical data and theory. METHODS: Using feminist interpretive phenomenology, critical care nurses in the United Kingdom (n = 21) were interviewed and data analysed. Reflexive Balancing was used to integrate the data with feminist theory to provide normative recommendations about how to understand moral distress. RESULTS: There are five compounding factors that exacerbate/ mitigate nurses' experiences of moral distress: epistemic injustice; the roster lottery; conflict between one's professional and personal responsibilities; ability to advocate and team dynamics. In addition to the causal connection and responses to moral distress, these factors make up the moral distress model which can guide approaches to mitigate moral distress. CONCLUSIONS: The Moral Distress Model is the culmination of these data and theorising formulated into a construct to explain how each element interacts. We propose that this model can be used to inform the design of interventions to address moral distress.
Authors: Daniela Lemmo; Roberta Vitale; Carmela Girardi; Roberta Salsano; Ersilia Auriemma Journal: Int J Environ Res Public Health Date: 2022-07-08 Impact factor: 4.614