Department of Nursing and Midwifery, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.
Department of Nursing, Faculty of Health Sciences, Palacký University in Olomouc, Olomouc, Czech Republic.
J Clin Nurs. 2021 Apr;30(7-8):1099-1110. doi: 10.1111/jocn.15655. Epub 2021 Jan 26.
To investigate hospital, unit and staff variables as the correlates of missed nursing care (MNC) in Czech hospitals.
There is a considerable variability in patterns of MNC across different hospital, unit and staff characteristics.
A cross-sectional study was conducted. The STROBE guidelines for reporting observational studies were followed for reporting of the research study.
A sample of 513 nurses working in nine acute care hospitals was recruited. MNC activities were measured with the MISSCARE Survey. Data were analysed using descriptive statistics and univariate logistic regression.
Type of unit was confirmed as a significant predictor of MNC. Staff characteristics (nurses' work position, level of education and perceived adequacy of unit staff) and hospital variables did not contribute significantly to MNC.
The study replicated the patterns of MNC across different conceptual approaches. MNC was influenced by work environment characteristics rather than individual staff variables.
The results of this research showed that missed nursing care is influenced by work environment characteristics rather than individual staff variables.
调查医院、科室和员工变量与捷克医院护理差错（MNC）的相关性。
不同医院、科室和员工特征的 MNC 模式存在相当大的差异。
进行了一项横断面研究。本研究报告遵循 STROBE 观察性研究报告指南。
招募了 9 家急性护理医院的 513 名护士。使用 MISSCARE 调查衡量 MNC 活动。使用描述性统计和单变量逻辑回归分析数据。
科室类型被确认为 MNC 的显著预测因子。员工特征（护士的工作岗位、教育水平和对科室人员充足性的感知）和医院变量对 MNC 没有显著贡献。
该研究复制了不同概念方法下的 MNC 模式。MNC 受工作环境特征的影响，而不是单个员工变量。
这项研究的结果表明，护理差错受工作环境特征的影响，而不是单个员工变量。
