使用人为因素框架来检验复杂性作为IPC工作系统和医护人员行为之间的中介:结构方程模型
Using a Human Factors Framework to Examine Complexity as a Mediator Between IPC Work System and Healthcare Workers' Behaviors: A Structural Equation Model.
Using a Human Factors Framework to Examine Complexity as a Mediator Between IPC Work System and Healthcare Workers' Behaviors: A Structural Equation Model.
感染预防与控制(IPC)行为受工作系统多重要素及复杂特征的影响。复杂性是指系统要素具有多组分、非线性及情境依赖的特征,日益被视为医疗服务提供的关键特征。然而,关于IPC复杂性在这些关系中作用的证据仍然有限。在中国武汉一家三级医院的3家分院开展了一项横断面调查。共有833名医护人员完成了一份结构化问卷,该问卷基于患者安全系统工程倡议(SEIPS)模型,评估IPC人员、组织、工具与技术、任务、内部环境、外部环境、IPC复杂性及IPC行为。采用结构方程模型和偏差校正Bootstrap分析评估直接与间接关联。IPC复杂性(=0.106,=0.048)与IPC行为呈正相关。IPC任务(=0.172,=0.003)和内部环境(=0.221,<0.001)与IPC行为直接相关;IPC人员(95% CI:0.001-0.033,=0.015)、内部环境(95% CI:0.009-0.088,=0.015)和外部环境(95% CI:0.007-0.075,=0.018)通过复杂性间接与IPC行为相关。IPC行为与多个工作系统因素相关,复杂性在其中充当重要的中间相关因素。改善IPC实践的努力应关注任务需求、环境支持及感知的工作复杂性,而非仅关注个体行为。
Infection prevention and control (IPC) behaviors among healthcare workers are influenced by multiple components and complex features of the work system. Complexity refers to the multicomponent, non-linear, and context-dependent characteristics of system elements, and is increasingly recognized as a key feature of healthcare delivery. However, evidence on the role of IPC complexity in these relationships remains limited. A cross-sectional survey was conducted in 3 branch hospitals of a tertiary hospital in Wuhan, China. A total of 833 healthcare workers completed a structured questionnaire assessing IPC person, organization, tools and technology, tasks, internal environment, external environment, IPC complexity, and IPC behaviors based on Systems Engineering Initiative for Patient Safety (SEIPS) model. Structural equation modeling and bias-corrected bootstrap analyses were used to evaluate direct and indirect associations. IPC complexity (= 0.106, =0.048) positively associated with IPC behaviors. IPC tasks (= 0.172, =0.003) and internal environment (= 0.221, <0.001) directly associated with IPC behaviors; IPC person (95% CI:0.001-0.033, =0.015), internal environment (95% CI:0.009-0.088, =0.015) and external environment (95% CI:0.007-0.075, =0.018) indirectly associated with IPC behaviors through the complexity. IPC behaviors were linked to multiple work system factors, with complexity serving as an important intermediate correlate. Efforts to improve IPC practice should address task demands, environmental support, and perceived work complexity rather than focusing on individual behaviors alone.
Qian Zhou, Junjie Liu, Li Nie, Xinping Zhang, Shuangjiang Zheng, Wanjun Luo. Using a Human Factors Framework to Examine Complexity as a Mediator Between IPC Work System and Healthcare Workers' Behaviors: A Structural Equation Model.. Infection and drug resistance. 2026; doi:10.2147/IDR.S612512.
Qian Zhou, Junjie Liu, Li Nie, Xinping Zhang, Shuangjiang Zheng, Wanjun Luo (2026). Using a Human Factors Framework to Examine Complexity as a Mediator Between IPC Work System and Healthcare Workers' Behaviors: A Structural Equation Model.. Infection and drug resistance. https://doi.org/10.2147/IDR.S612512
Qian Zhou, Junjie Liu, Li Nie, Xinping Zhang, Shuangjiang Zheng, Wanjun Luo. Using a Human Factors Framework to Examine Complexity as a Mediator Between IPC Work System and Healthcare Workers' Behaviors: A Structural Equation Model.[J]. Infection and drug resistance, 2026 doi:10.2147/IDR.S612512.
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