Investigation on the current status and influencing factors of nursing information ability of head nurses in different levels of hospitals in Jiaozuo City based on random forest model
10.3760/cma.j.cn211501-20250115-00136
- VernacularTitle:基于随机森林模型的焦作市不同等级医院护士长护理信息能力现状调查与影响因素分析
- Author:
Haiyan ZHANG
1
;
Yue WU
;
Ying XUE
;
Ran HAO
;
Xiaoou WANG
;
Hong WANG
Author Information
1. 焦作市第二人民医院（河南理工大学第一附属医院）病案统计科，焦作 454001
- Publication Type:Journal Article
- Keywords:
Head nurse;
Nursing information ability;
Hospital grade;
Random forest model;
Influencing factors
- From:
Chinese Journal of Practical Nursing
2025;41(27):2104-2110
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the current situation of nursing information ability of head nurses in different grades of hospitals in Jiaozuo City, and analyze its influencing variables based on the random forest model, so as to provide evidence-based basis for the construction of nursing information ability improvement strategies and training programs for head nurses.Methods:From August to September 2024, the head nurses of 20 hospitals of different grades were selected by cluster sampling method in Jiaozuo City as the research subjects. General Data Questionnaire and Nursing Information Ability Scale of Head Nurses were used to conduct a cross-sectional survey. Random forest model was used to evaluate the importance of variables, lasso regression analysis was applied to complete the variable screening, and the influencing factors of nursing information ability of head nurses were explored through stepwise multiple linear regression analysis.Results:A total of 305 questionnaires were ultimately collected, of which 297 were valid, the effective rate was 97.38%. Out of 297 head nurses, 6 were male and 291 were female; 49 individuals aged 20-29 years old, 127 individuals aged 30-39 years old, 92 individuals aged 40-49 years old, and 29 individuals aged ≥ 50 years old. The total score of nursing information ability was (139.06 ± 24.62). Random forest model and lasso regression analysis showed that the top 6 variables in terms of importance were the number of years serving as head nurses, participation in information function development, number of academic conferences in the past three years, hospital grade, participating in information training, and chairing or participating in scientific research in the past three years. Stepwise multiple linear regression analysis showed that the number of years serving as head nurses, participating in information training, participating in information function development and number of academic conferences in the past three years had significant effects on nursing information ability of head nurses (t values were -4.66 to 3.81, all P<0.05). Conclusions:The nursing information ability of head nurses in Jiaozuo city is in the middle level, and the nursing information ability of head nurses in different grades of hospitals is different. It is suggested to construct a stepped information ability continuing education framework and a research-information ability coupling development mechanism, and incorporate nursing information ability into the necessary conditions for the appointment of nursing management posts, so as to realize the balanced development of nursing information management ability and the continuous iteration of nursing manager information ability.
