Wenqiong Lin , Panpan Zhang , Yaru Li , Songyao Li , Ziru Fang , Hongmei Zhang
{"title":"加强中风专科护士的培训转移:潜在特征分析的启示","authors":"Wenqiong Lin , Panpan Zhang , Yaru Li , Songyao Li , Ziru Fang , Hongmei Zhang","doi":"10.1016/j.nepr.2024.104180","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><div>Using Latent Profile Analysis (LPA) to identify distinct categories within stroke specialist nurses training transfer and to explore the factors influencing these categories.</div></div><div><h3>Background</h3><div>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.</div></div><div><h3>Design</h3><div>This is a cross-sectional study.</div></div><div><h3>Method</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>","PeriodicalId":48715,"journal":{"name":"Nurse Education in Practice","volume":"81 ","pages":"Article 104180"},"PeriodicalIF":3.3000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing training transfer among stroke specialist nurses: Insights from latent profile analysis\",\"authors\":\"Wenqiong Lin , Panpan Zhang , Yaru Li , Songyao Li , Ziru Fang , Hongmei Zhang\",\"doi\":\"10.1016/j.nepr.2024.104180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><div>Using Latent Profile Analysis (LPA) to identify distinct categories within stroke specialist nurses training transfer and to explore the factors influencing these categories.</div></div><div><h3>Background</h3><div>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.</div></div><div><h3>Design</h3><div>This is a cross-sectional study.</div></div><div><h3>Method</h3><div>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.</div></div><div><h3>Results</h3><div>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.</div></div><div><h3>Conclusion</h3><div>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.</div></div>\",\"PeriodicalId\":48715,\"journal\":{\"name\":\"Nurse Education in Practice\",\"volume\":\"81 \",\"pages\":\"Article 104180\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nurse Education in Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1471595324003093\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NURSING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nurse Education in Practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1471595324003093","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
Enhancing training transfer among stroke specialist nurses: Insights from latent profile analysis
Aim
Using Latent Profile Analysis (LPA) to identify distinct categories within stroke specialist nurses training transfer and to explore the factors influencing these categories.
Background
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.
Design
This is a cross-sectional study.
Method
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.
Results
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.
Conclusion
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.
期刊介绍:
Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.