Suppr超能文献

护理本科生老年护理方向的能力特征:一项横断面研究。

Nursing students' competence profiles in gerontological nursing-A cross-sectional study.

机构信息

Research Unit of Nursing Science and Health Management, University of Oulu, Oulu, Finland.

Lapland UAS, Kemi, Finland.

出版信息

Nurs Open. 2022 Jan;9(1):199-209. doi: 10.1002/nop2.1054. Epub 2021 Sep 17.

Abstract

AIM

The study aimed to describe and explain the self-assessed gerontological nursing competence levels of Finnish nursing students and factors relating to it.

DESIGN

A cross-sectional study design, reported by The Strengthening the Reporting of Observational studies in Epidemiology guidelines.

METHODS

Data were collected with the GeroNursingCom instrument, which features 53 items relating to 11 competence factors. The K-clustering technique and the Chi-squared, Kruskal-Wallis and Mann Whitney tests were used to analyse the data.

RESULTS

Seven hundred and ninety-nine nursing students from nine randomly selected higher education institutions were invited to participate in 2019. Three distinct student profiles were identified according to the data (N = 274): Profile A-lower intermediate competence (23.1% of students), Profile B-intermediate competence (45.8%) and Profile C-high competence (31.1%). The strongest competence area for all students was appreciative encounter and interaction, and the weakest was supporting the older person's sexuality. Nursing students have diverse backgrounds and their overall competence in gerontological nursing is shaped in part by their previous education, motivations and work experience.

RELEVANCE TO CLINICAL PRACTICE

Recognizing students' different gerontological nursing competence profiles enables the implementation of targeted education to improve competence in clinical practice.

摘要

目的

本研究旨在描述和解释芬兰护理学生自我评估的老年护理能力水平及其相关因素。

设计

横断面研究设计,按照《加强观察性研究的报告:流行病学指南》进行报告。

方法

使用 GeroNursingCom 工具收集数据,该工具包含与 11 个能力因素相关的 53 个项目。采用 K 聚类技术以及卡方检验、克鲁斯卡尔-沃利斯检验和曼-惠特尼检验对数据进行分析。

结果

2019 年,从九所随机选定的高等教育机构邀请了 799 名护理学生参与研究。根据数据确定了三种不同的学生特征(N=274):特征 A-较低的中级能力(23.1%的学生)、特征 B-中级能力(45.8%)和特征 C-高能力(31.1%)。所有学生最强的能力领域是欣赏性的相遇和互动,最弱的是支持老年人的性行为。护理学生具有不同的背景,他们在老年护理方面的整体能力部分取决于他们之前的教育、动机和工作经验。

临床相关性

识别学生不同的老年护理能力特征,能够实施有针对性的教育,提高临床实践中的能力。

相似文献

本文引用的文献

3
Development and validation of gerontological nurse teacher scale.老年护理教师量表的编制与验证。
Nurse Educ Pract. 2020 Mar;44:102763. doi: 10.1016/j.nepr.2020.102763. Epub 2020 Mar 24.
7
Clustering students into groups according to their learning style.根据学生的学习风格将他们分成小组。
MethodsX. 2019 Sep 24;6:2189-2197. doi: 10.1016/j.mex.2019.09.026. eCollection 2019.
9
How artificial intelligence is changing nursing.人工智能如何改变护理行业。
Nurs Manage. 2019 Sep;50(9):30-39. doi: 10.1097/01.NUMA.0000578988.56622.21.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验