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“X疾病”暴发的危机环境下医疗浪涌情景驱动因素路径研究:基于模糊集定性比较分析

Driving factors of medical surge scenarios in the crisis environment of "disease X" outbreak: a fuzzy-set qualitative comparative analysis

  • 摘要:
    目的 探究“X疾病”未来暴发危机环境下导致医疗浪涌情景出现的驱动因素组合作用路径,为增强医疗卫生服务体系的整体韧性提供有益借鉴。
    方法 于2024年7—9月采用目的抽样方法抽取黑龙江省曾参与过新型冠状病毒感染疫情防控的144名一线医务人员通过问卷星平台进行线上问卷调查,以公共安全三角形理论模型为框架选取传染病的传播能力、病原体的致病力、居民的免疫力、医务人员数量、应急物资储备量、应急救援与技能培训频次、患者分流与转诊机制效能7个变量,采用模糊集定性比较分析(fsQCA)方法进行组态路径分析。
    结果 必要性条件分析结果显示,传染病的传播能力、病原体的致病力、居民的免疫力、医务人员数量、应急物资储备量、应急救援与技能培训频次和患者分流与转诊机制效能7个条件变量的一致性分别为0.546、0.578、0.485、0.562、0.491、0.530和0.563(均<0.9),“X疾病”未来暴发危机环境下不存在导致医疗浪涌情景发生的必要条件;条件组态分析共产生5条路径和2种构型,即弱疫–低承–薄应交织驱动浪涌型和相对充分备战的强疫浪涌型,总体一致性为0.886,总体覆盖度为0.532。
    结论 医疗浪涌情景的发生是多种复杂因素共同作用的结果,医疗机构需从人员储备与配置、分流转诊和物资储备等多方面全方位提升应对能力。

     

    Abstract:
    Objective To explore the paths of driving factor combinations leading to the emergence of medical surge scenarios in the future crisis environment of "disease X" outbreak, thus providing references for enhancing the overall resilience of the medical and health service system.
    Methods From July to September 2024, 144 members of front-line medical staff in Heilongjiang province who had participated in the prevention and control of the COVID-19 epidemic were selected through the Questionnaire Star platform by the purposive sampling method. Seven variables–the transmission capacity of the infectious disease, the pathogenicity of pathogens, the immunity of residents, the number of medical staff, the reserve of emergency materials, the frequency of emergency rescue and skill training, and the effectiveness of patient triage and referral mechanisms–were selected based on the public safety triangle theoretical model. The fuzzy-set qualitative comparative analysis was performed to explore the configuration path.
    Results The results of necessity analysis showed that the consistency of the transmission capacity of the infectious disease, pathogenicity of pathogens, the immunity of residents, the number of medical staff, the reserve of emergency materials, the frequency of emergency rescue and skill training, and the effectiveness of patient triage and referral mechanisms were 0.546, 0.578, 0.485, 0.562, 0.491, 0.530, and 0.563, respectively (all < 0.9). There were no necessary conditions for a medical surge scenario in a future crisis environment of "disease X" outbreak. The conditional configuration analysis produced a total of 5 paths and 2 configurations, i.e., the weak epidemic-low bearing-weak response interweave driving surge type and the strong epidemic surge type with relatively sufficient preparation, with the overall consistency of 0.886 and the overall coverage of 0.532.
    Conclusions The occurrence of medical surge scenarios is the result of a combination of complex factors, and medical institutions must improve their response capabilities in all aspects such as personnel reserve and allocation, triage and referral, and material reserve.

     

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