Universidade Federal de Santa Catarina, Hospital Universitário Professor Polydoro Ernani de São Thiago, Florianópolis, SC, Brazil.
Universidade Federal de Santa Catarina, Programa de Pós-Graduação em Enfermagem, Florianópolis, SC, Brazil.
Rev Esc Enferm USP. 2022 May 20;56:e20210447. doi: 10.1590/1980-220X-REEUSP-2021-0447en. eCollection 2022.
To analyze the association between sociodemographic and occupational characteristics and the predictors of Moral Distress in nursing managers of Federal University Hospitals.
Cross-sectional study carried out with 126 nurses. Data were collected online between September 2019 and May 2020 applying the Brazilian Scale of Moral Distress in Nurses. The variables were analyzed using descriptive and bivariate statistics to compare the instrument mean responses in relation to sociodemographic and occupational characteristics (hospital size, region, age, gender, training and experience variables, employment relationships, and workload).
The highest levels of Moral Distress were experienced by nurses in large hospitals, with statistical significance among civil servants with job stability who have no management training, with less time of professional experience and with the highest weekly workload, with emphasis on predictive factors of "safe and qualified care", "work conditions" and "work team".
Based on the above, it is understood that studies of this nature allow the generation of adaptive strategies to reduce the impacts of Moral Distress.
分析社会人口学和职业特征与联邦大学医院护理管理人员道德困境预测因素之间的关系。
这是一项横断面研究,共纳入了 126 名护士。研究数据于 2019 年 9 月至 2020 年 5 月期间通过在线收集,使用巴西护士道德困境量表来评估道德困境。采用描述性和双变量统计分析对变量进行分析,以比较社会人口学和职业特征(医院规模、地区、年龄、性别、培训和经验变量、雇佣关系和工作量)与仪器平均反应之间的关系。
在大型医院工作的护士经历了最高水平的道德困境,具有统计学意义,表现在具有稳定工作的公务员,没有管理培训,专业经验时间较短,每周工作量最大,重点是“安全和合格的护理”、“工作条件”和“工作团队”等预测因素。
基于上述内容,可以理解的是,此类研究可以生成适应性策略,以减轻道德困境的影响。