Wu Chao, Zhang Hongli, Zhang Yinjuan, Hu Mengyi, Lin Yawei, He Jing, Li Shuwen, Zhang Yulian, Lang Hong-Juan
Department of Nursing, Fourth Military Medical University, No.169 Changle West Road, Xi'an, 710032, Shaanxi, China.
Department of Nursing, Shaanxi University of Chinese Medicine, Xianyang, Shaanxi, China.
BMC Nurs. 2024 Mar 14;23(1):180. doi: 10.1186/s12912-024-01848-6.
This study was designed to develop a biosafety incident response competence scale and evaluate its validity and reliability among clinical nurses.
This study employed a sequential approach, comprising four phases: (1) the establishment of a multidimensional conceptual model, (2) the preliminary selection of the items, (3) further exploration and psychometric testing of the items, (4) the application of the scale among clinical nurses.
The biosafety incident response competence conceptual model was developed through literature review and the Delphi method. A total of 1,712 clinical nurses participated in the preliminary items selection, while 1,027 clinical nurses were involved in the further psychometric testing from July 2023 to August 2023. The item analysis, exploratory factor analysis and confirmatory factor analysis were conducted to evaluate the construct validity. Reliability was measured using Cronbach's alpha, split-half reliability, and test-retest reliability, while validity analysis included content validity, structural validity, convergent validity, and discriminant validity. From September to November 2023, we conducted a survey using the established scale with a total of 4338 valid questionnaires collected. T-test and variance analysis was employed to determine potential variations in biosafety incident response competence based on participants characteristics.
The final scale is composed of 4 factors and 29 items, including monitoring and warning abilities, nursing disposal abilities, biosafety knowledge preparedness, and infection protection abilities. The explanatory variance of the 4 factors was 75.100%. The Cronbach's alpha, split-half reliability and test-retest reliability were 0.974, 0.945 and 0.840 respectively. The Scale-level content validity index was 0.866. The Average Variance Extracted of the 4 factors was larger than 0.5, the Construct Reliability was larger than 0.7, and the Heterotrait-Monotrait ratio were less than 0.9. There were significant differences in the scores of response competence among nurses of different ages, working years, titles, positions, departments, marital status and participation in biosafety training (all P < 0.05).
The biosafety incident response competence scale for nurses exhibits satisfactory reliability and validity, making it a valuable tool for assessing clinical nurses' abilities in responding to biosafety incidents.
本研究旨在编制一份生物安全事件应对能力量表,并评估其在临床护士中的有效性和可靠性。
本研究采用了一种循序渐进的方法,包括四个阶段:(1)建立多维概念模型;(2)初步筛选条目;(3)对条目进行进一步探索和心理测量测试;(4)在临床护士中应用该量表。
通过文献回顾和德尔菲法建立生物安全事件应对能力概念模型。共有1712名临床护士参与了初步条目筛选,2023年7月至8月,1027名临床护士参与了进一步的心理测量测试。进行项目分析、探索性因素分析和验证性因素分析以评估结构效度。使用Cronbach's alpha系数、分半信度和重测信度来测量信度,效度分析包括内容效度、结构效度、收敛效度和区分效度。2023年9月至11月,我们使用已编制好的量表进行了一项调查,共收集到4338份有效问卷。采用t检验和方差分析来确定基于参与者特征的生物安全事件应对能力的潜在差异。
最终量表由4个因子和29个条目组成,包括监测预警能力、护理处置能力、生物安全知识储备和感染防护能力。4个因子的解释方差为75.100%。Cronbach's alpha系数、分半信度和重测信度分别为0.974、0.945和0.840。量表水平的内容效度指数为0.866。4个因子的平均提取方差大于0.5,组合信度大于0.7,异质特质-同质特质比率小于0.9。不同年龄、工作年限、职称、职位、科室、婚姻状况和参加生物安全培训的护士在应对能力得分上存在显著差异(均P<0.05)。
护士生物安全事件应对能力量表具有良好的信度和效度,是评估临床护士应对生物安全事件能力的一个有价值的工具。