People's Hospital of Zhengzhou University, Zhengzhou, China; Academy of Medical Science, Zhengzhou University, Zhengzhou, China.
People's Hospital of Zhengzhou University, Zhengzhou, China; Nursing Department, Henan Provincial People's Hospital, Zhengzhou, China.
Nurse Educ Pract. 2024 Nov;81:104180. doi: 10.1016/j.nepr.2024.104180. Epub 2024 Oct 30.
Using Latent Profile Analysis (LPA) to identify distinct categories within stroke specialist nurses training transfer and to explore the factors influencing these categories.
Stroke represents a significant worldwide health challenge. During the treatment and rehabilitation of stroke, stroke specialist nurses play an essential role. However, despite significant resources devoted in the training of stroke specialist nurses, the effectiveness of training transfer is still at a moderate or low level. Therefore, there is an urgent need to identify the factors affecting the training transfer of stroke specialist nurses and to formulate effective strategies for improvement based on these findings.
This is a cross-sectional study.
From August to September 2023, demographic questionnaires, stroke specialist nurses training transfer scales, nursing work environment scales, and job crafting questionnaire were used to survey 413 stroke specialist nurses in 5 tertiary hospitals in Henan Province, China. LPA was used to analyze the latent characteristics of nurse training transfer and to explore the predictive factors of different categories using univariate analysis and logistic regression.
A total of 397 stroke specialist nurses were included, identifying three categories of training transfer: "low training transfer group" (20.40 %), "medium training transfer group" (31.74 %), and "high training transfer group" (47.86 %). Work experience, employment type, training duration, nursing work environment, and job crafting significantly influence the training transfer categories.
The majority of stroke specialist nurses fall into medium and low training transfer group. Contract employment and less work experience are the main reasons for medium and low levels of training transfer. Enhancing work experience, designing effective training courses, ensuring equal pay, improving the nursing environment, and implementing job crafting strategies could effectively improve training transfer for various types of stroke specialist nurses.
使用潜在剖面分析(LPA)识别卒中专科护士培训转化中的不同类别,并探讨影响这些类别的因素。
卒中是全球范围内的重大健康挑战。在卒中的治疗和康复过程中,卒中专科护士发挥着重要作用。然而,尽管在卒中专科护士培训方面投入了大量资源,但培训转化的效果仍处于中等或较低水平。因此,迫切需要确定影响卒中专科护士培训转化的因素,并根据这些发现制定有效的改进策略。
这是一项横断面研究。
2023 年 8 月至 9 月,采用一般资料问卷、卒中专科护士培训转化量表、护理工作环境量表和工作重塑问卷对河南省 5 家三级医院的 413 名卒中专科护士进行调查。采用潜在剖面分析(LPA)分析护士培训转化的潜在特征,并采用单因素分析和逻辑回归探讨不同类别的预测因素。
共纳入 397 名卒中专科护士,识别出培训转化的三个类别:“低培训转化组”(20.40%)、“中培训转化组”(31.74%)和“高培训转化组”(47.86%)。工作经验、就业类型、培训持续时间、护理工作环境和工作重塑对培训转化类别有显著影响。
大多数卒中专科护士属于中低培训转化组。合同就业和较少的工作经验是导致中低水平培训转化的主要原因。增加工作经验、设计有效的培训课程、确保同工同酬、改善护理环境和实施工作重塑策略,可以有效提高各类卒中专科护士的培训转化效果。