基于网络分析的护理人员风险感知问卷的结构验证与评价

Validation and Evaluation of Structure of A Risk Perception Questionnaire for Nurses Based on Network Analysis

目的评估护理人员风险感知问卷的结构,验证信效度,为问卷在军队医院护理人员中的推广使用提供科学依据。方法采用便利抽样法,从浙江、江西、江苏以及安徽4省各1所军队医院中抽取846名护理人员进行风险感知数据采集。构建风险感知网络模型,运用探索性图域分析探索问卷的网络维度结构,评价结构一致性并筛选条目。通过模型拟合指数和信度系数检验问卷的信效度。结果问卷结构包含人身安全风险、身体功能风险、职业暴露风险、社会心理风险、时间风险5个维度,共27个条目。修订后问卷网络结构一致性指标>0.75,结构稳定;网络模型评价指标中,近似误差均方根为0.06,比较拟合指数为0.94,问卷Cronbach’sα系数为0.966。模型拟合度及信度系数均有提升。结论修订后的问卷网络结构稳定,条目精简,适用于评估军队医院护理人员风险感知水平。

Objective To assess the structure of the Risk Perception Questionnaire for Nurses and to verify its reliability and validity,so as to provide reference for the popularization and the use of the questionnaire among nurses in military hospitals.Methods A convenient sampling method was used to collect risk perception data from 846 nurses across four military hospitals in Zhejiang,Jiangxi,Jiangsu and Anhui Provinces.The exploratory graph analysis(EGA)was used to explore the network dimensional structure of the questionnaire by constructing a risk perception network model.The network structural consistency was evaluated and items were screened.The reliability and validity of the questionnaire were tested by the model fit indices and reliability coefficients.Results The network model contained 5 dimensions:personal security risk,physical function risk,occupational exposure risk,social mentality risk,and time risk,with 27 items.The structure consistency evaluation indexes of the revised questionnaire were all greater than 0.75,showing that the structure was stable.In the evaluation index of the network model,the Root-Mean-Square Error of Approximation was 0.06 and the Compare Fix Index was 0.94.The Cronbach’s alpha coefficient of the overall questionnaire was 0.966.The model fitting degree and reliability index were higher than those of the original questionnaire.Conclusions The revised questionnaire can be utilized to evaluate the level of risk perception among nurses in military hospitals because it has a more stable structure with more concise items.