Wang Qunkai, Meng Nan, Ma Yunxia, Wang Yanping, Wang Kexin, Zhuge Ruiqian, Wang Yuxuan, Wang Peng, Liu Huan, Wu Qunhong
School of Health Management, Harbin Medical University, No. 157, Baojian Road, Nangang District, Harbin, Heilongjiang Province, 150081, China.
BMC Public Health. 2025 Jun 4;25(1):2078. doi: 10.1186/s12889-025-23268-0.
This study aims to explore key factors and identify root factors influencing the Public Health Emergency Response Mechanism (PHERM) to ensure timely and effective responses to emerging infectious disease crises and enhance the efficiency of emergency operations.
We employed a mixed-method approach using DEMATEL-ISM-MICMAC to analyse the interrelationships among factors affecting PHERM. The DEMATEL method established the hierarchical structure of the factors, ISM determined the relational paths, and MICMAC further characterized the attributes of the factors.
The analysis revealed that PHERM's influencing factors are organized into four levels, with the conscientiousness of emergency leadership action (X15) identified as the most profound and influential factor, exhibiting a strong causality with a high driving force. The decision-making and command feedback capability (X8) emerged as a significant outcome factor in the transition layer, highly influenced by other factors and with the highest node degree.
The proactive emergency response awareness and actions of leaders is crucial for the mechanism's smooth and efficient operation. It is essential to prioritise ideological education and simulation training to instill such awareness. Moreover, proactive preparation for factors associated with decision-making and command capabilities is necessary to mitigate potential hesitation and panic during actual epidemic prevention, thereby enhancing the operational effectiveness of PHERM.
本研究旨在探索影响突发公共卫生事件应急机制(PHERM)的关键因素并找出根源因素,以确保对新发传染病危机做出及时有效的应对,并提高应急行动的效率。
我们采用了一种混合方法,即运用决策试验与评价实验室-解释结构模型-交叉影响矩阵乘法分析方法(DEMATEL-ISM-MICMAC)来分析影响PHERM的各因素之间的相互关系。决策试验与评价实验室(DEMATEL)方法确定了各因素的层次结构,解释结构模型(ISM)确定了关系路径,交叉影响矩阵乘法分析方法(MICMAC)进一步刻画了各因素的属性。
分析表明,PHERM的影响因素分为四个层次,应急领导行动的自觉性(X15)被确定为最深刻、最具影响力的因素,具有很强的因果关系和高驱动力。决策与指挥反馈能力(X8)在过渡层中是一个重要的结果因素,受其他因素影响很大且节点度最高。
领导者积极的应急响应意识和行动对于该机制的顺畅高效运行至关重要。必须优先开展思想教育和模拟训练以灌输这种意识。此外,有必要针对与决策和指挥能力相关的因素进行积极准备,以减轻实际防疫过程中的潜在犹豫和恐慌,从而提高PHERM的运行效能。