2020
DOI: 10.1177/0969733019895794
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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 explorato… Show more

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Cited by 7 publications
(3 citation statements)
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“…In the current pandemic context, the Nursing teachers have also faced limitations such as a set of emerging realities of their students, which have evidenced the impacts of the socioeconomic differences on people's lives. The moral distress mentioned by the Nursing teachers is an area that needs to be explored as a study phenomenon 20 to deepen on its causes, 9/12 support strategies and policies for Nursing teaching, understanding that younger teachers report more experiences of moral distress 21 .…”
Section: /12mentioning
confidence: 99%
“…In the current pandemic context, the Nursing teachers have also faced limitations such as a set of emerging realities of their students, which have evidenced the impacts of the socioeconomic differences on people's lives. The moral distress mentioned by the Nursing teachers is an area that needs to be explored as a study phenomenon 20 to deepen on its causes, 9/12 support strategies and policies for Nursing teaching, understanding that younger teachers report more experiences of moral distress 21 .…”
Section: /12mentioning
confidence: 99%
“…It consists of a scalable algorithm designed to analyze large databases. It initially pre-clusters data, using the sequential clustering approach that generates sub-clusters, which are reorganized in the second step, where clusters are finally generated (14)(15) .…”
Section: Data Analysis and Statisticsmentioning
confidence: 99%
“…Consiste em um algoritmo escalável projetado para analisar grandes bancos de dados. Inicialmente, faz um pré-agrupamento dos dados, utilizando a abordagem de agrupamento sequencial que gera subclusters, que são reorganizados na segunda etapa, onde os clusters são finalmente gerados (14)(15) .…”
Section: Análise De Dados E Estatísticaunclassified