Chen Yifei, Bo Yan, Han Zhuanzhuan, Fan Guowei
Department of Emergency Medicine, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Department of Medicine, Northwest Minzu University, Lanzhou, Gansu, China.
Front Public Health. 2025 Jul 30;13:1601236. doi: 10.3389/fpubh.2025.1601236. eCollection 2025.
Emergency frontline rescue workers during the COVID-19 pandemic faced elevated psychological risks, yet existing tools lack specificity for crisis contexts.
To develop a simplified risk probability scale (SRPS) tailored for rapid self-assessment of depression and anxiety in frontline rescue teams.
This SRPS study employed a mixed research methodology of questionnaires and systematic reviews. Snowball sampling was applied to collect questionnaire data. Univariate and multivariate analyses were conducted to identify key variables for the SRPS, which was then established using binary logistic regression models and nomograms. Receiver operating characteristic (ROC) curves evaluated the SRPS's accuracy and sensitivity. A literature review of existing COVID-19 assessment tools in the PubMed database was also carried out.
The study was approved by the Institutional Review Board of the Affiliated Hospital of Yangzhou University (IRB No: YKL08-002). Written informed consent was obtained from all participants.
https://clinicaltrials.gov/, identifier [ChiCTR2500103976].
在新冠疫情期间，应急一线救援人员面临着更高的心理风险，但现有工具在危机情境下缺乏针对性。
开发一种简化风险概率量表（SRPS），用于一线救援团队对抑郁和焦虑进行快速自我评估。
本SRPS研究采用了问卷调查和系统评价的混合研究方法。采用滚雪球抽样收集问卷数据。进行单变量和多变量分析以确定SRPS的关键变量，然后使用二元逻辑回归模型和列线图建立该量表。受试者工作特征（ROC）曲线评估了SRPS的准确性和敏感性。还对PubMed数据库中现有的新冠评估工具进行了文献综述。
本研究经扬州大学附属医院机构审查委员会批准（IRB编号：YKL08 - 002）。所有参与者均获得书面知情同意。
