Analysis of selected demographic factors of nurses’ job satisfaction in Slovakia

Mária Kožuchová, Marianna Marianna Magerčiaková, A. Vargová
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引用次数: 3

Abstract

Nurses´ job satisfaction is an important part of nurses´ lives affecting their productivity and performance, patients´ satisfaction and the quality of nursing care rendered. The aim of the contribution is to present job satisfaction of nurses in institutional healthcare facilities in Slovakia related to the selected demographic factors (age and gender). The research sample was composed of 206 nurses working in institutional healthcare facilities in Slovakia at the age of 23 to 63 years. The nurses´ job satisfaction was surveyed using the standardized form of the McCloskey/Mueller Satisfaction Scale that was distributed in electronic form to all nurses in Slovakia. The research was realized in Slovak healthcare facilities from December 2014 to January 2015. Significant interaction of two qualitative variables was evaluated using Mann-Whitney test with Z Adj statistics, Kruskal- Wallis with H test statistics and correlation analysis with Spearmann correlation coefficient r(S). The statistical processing found no statistically significant differences between nurses´ general satisfaction and age (p = 0.994), neither between nurses´ general satisfaction and gender (p = 0.729). The results may be influenced by the unequal representation of men and women in the sample. They demonstrate the need to investigate nurses´ job satisfaction with a focus on the identification of factors determining this multifaceted phenomenon.
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斯洛伐克护士工作满意度的人口统计学因素分析
护士的工作满意度是护士生活的重要组成部分,影响着护士的工作效率和表现、患者的满意度和护理质量。这项贡献的目的是介绍斯洛伐克机构保健设施中护士的工作满意度与选定的人口因素(年龄和性别)的关系。研究样本是由206名护士在机构卫生保健机构在斯洛伐克工作,年龄在23至63岁。使用McCloskey/Mueller满意度量表的标准化表格对护士的工作满意度进行调查,该量表以电子形式分发给斯洛伐克的所有护士。该研究于2014年12月至2015年1月在斯洛伐克的医疗机构中进行。采用Z Adj统计量的Mann-Whitney检验、H统计量的Kruskal- Wallis检验和Spearmann相关系数r(S)的相关分析来评价两个定性变量的显著交互作用。统计处理发现护士一般满意度与年龄之间无统计学差异(p = 0.994),护士一般满意度与性别之间无统计学差异(p = 0.729)。结果可能受到样本中男女比例不平等的影响。他们证明有必要调查护士的工作满意度,重点是确定决定这一多方面现象的因素。
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