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新获得资格的护士中结构性赋权的社会人口学预测因素:一项国际调查的结果

Socio-demographic predictors of structural empowerment among newly qualified nurses: Findings from an international survey.

作者信息

Mansour Mansour, Darawad Mohammad, Mattukoyya Roslyn, Al-Anati Abdulrahman, Al-Madani Maha, Jamama Aysar

机构信息

Fundamentals of Nursing Department, College of Nursing, Imam Abdulrahman Bin Faisal University, Dammam, KSA.

Clinical Nursing Department, School of Nursing, The University of Jordan, Amman, Jordan.

出版信息

J Taibah Univ Med Sci. 2021 Nov 16;17(3):345-352. doi: 10.1016/j.jtumed.2021.10.010. eCollection 2022 Jun.

Abstract

OBJECTIVE

To examine the socio-demographic predictors of structural empowerment among an international sample of newly qualified nurses.

METHODS

A cross-sectional survey was conducted on 367 newly qualified nurses with up to 18 months of clinical experience. The nurses were recruited from 15 acute care hospitals across KSA, Jordan, and the UK. Data analysis was conducted using the -test, ANOVA, and hierarchical regression analysis.

RESULTS

Significant differences in the total structural empowerment score were found among participants based on the type of universities where they graduated from ( = 2.36,  < 0.05), if they have received assertive communication training during undergraduate nursing education ( = 3.53,  < 0.05), number of months as qualified nurses ( = 4.79,  < 0.05), type of clinical ward settings they were working in ( = 5.1,  < 0.05), and the country where they were recruited from ( = 14.66) ( < 0.05). Furthermore, the country, type of clinical ward settings they were working in, and type of the university the participants graduated from were found to be significant predictors of the participants' total structural empowerment score (F = 16.6,  < 0.05).

CONCLUSIONS

The findings underscore the unique contributions of the cultural contexts, type of clinical ward setting, and type of former educational setting towards the level of structural empowerment among newly qualified nurses.

摘要

目的

在国际范围内的新获得资格护士样本中,研究结构赋权的社会人口统计学预测因素。

方法

对367名临床经验不超过18个月的新获得资格护士进行了横断面调查。这些护士来自沙特阿拉伯、约旦和英国的15家急症护理医院。数据分析采用t检验、方差分析和分层回归分析。

结果

根据参与者毕业的大学类型(t = 2.36,p < 0.05)、本科护理教育期间是否接受过自信沟通培训(t = 3.53,p < 0.05)、获得护士资格的月数(t = 4.79,p < 0.05)、他们工作的临床病房类型(t = 5.1,p < 0.05)以及招募他们的国家(F = 14.66)(p < 0.05),参与者的结构赋权总分存在显著差异。此外,发现国家、他们工作的临床病房类型以及参与者毕业的大学类型是参与者结构赋权总分的显著预测因素(F = 16.6,p < 0.05)。

结论

研究结果强调了文化背景、临床病房类型和以前教育背景类型对新获得资格护士结构赋权水平的独特贡献。

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