首页|心理健康与院内感染事件风险的关联:基于预测模型的深度分析

心理健康与院内感染事件风险的关联:基于预测模型的深度分析

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目的 旨在深入探究方舱工作人员的心理健康状况与院感风险事件发生率之间的关联.方法 回顾性分析2022年8月至2022年12月期间,在我方舱医院参与工作的133名工作人员.评估他们入舱工作4周后的心理健康状况,并由失效模型与效应分析(failure mode and effect analysis,FMEA)小组对其在随后4周内发生的院内感染风险事件进行统计及赋分,并通过ROC曲线确定的截断值将样本分为高院感风险事件组(n=44人)和低院感风险事件组(n=89人),采用独立样本t检验将方舱工作人员的心理健康状况与中国常模数据进行对比.逻辑回归分析探讨影响院内感染事件的危险因素."rms"和pROC软件包建立和验证影响院内感染事件的预测模型.结果 高院感风险事件组与低院感事件风险组在性别、年龄、工作区域、婚姻状态、人员类别等方面无显著差异(P>0.05),而心理健康水平显著较差(P<0.05).结论 方舱医院工作人员心理健康状况与其发生院感事件的风险相关,对于院感风险防控要求高的岗位应及时筛查并干预工作人员的心理健康状况,从而为更精准的管理决策提供支持.
Association of Mental Health with the Risk of Nosocomial Infection Events:An In-depth Analysis Based on A Predictive Model
Objective The aim of this study was to further explore the association between the mental health status of shelter workers and the incidence of hospital infection risk events.Methods A retrospective analysis was performed on 133 staff members who worked in our cabin hospital from August 2022 to December 2022.Their mental health sta-tus was assessed after four weeks ofin-cabin work,and the Failure Mode and Effect Analysis(FMEA)team counted and assigned the risk events of nosocomial infection in the following 4 weeks.The samples were divided into high hospital infection risk event group(n=44)and low hospital infection risk event group(n=89)by the cut-off value de-termined by ROC curve.An independent sample t-test was conducted to compare the mental health status of shelter workers with the Chinese norm data.Logistic regression analysis was performed to explore the risk factors influenc-ing nosocomial infection events.The"rms"and pROC software packages establish and validate predition models that affect nosocomial infection events.Results There were no significant differences between the high and low hospital risk groups in terms of gender,age,work area,marital status,and type of personnel(P>0.05),while the mental health level was significantly worse(P<0.05).Conclusion The mental health status of cabin hospital staffs is related to the risk of nosocomial infection events,and positions with high requirements for nosocomial infection risk prevention and control should screen and intervene in the mental health status of staffs in a timely manner,so as to provide sup-port for more accurate management decisions.

COVID-19Cabin hospitalsSCL-90Healthcare workersPredictive model

次仁央宗、邵鹏飞、尼玛莎珍、龙琴

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拉萨市人民医院,拉萨 850000

西藏大学,拉萨 850000

新冠肺炎 方舱医院 SCL-90 工作人员 预测模型

新冠感染防控科技攻关计划(2022)

XZ202201ZY0047G

2024

西藏科技
西藏科技信息研究所

西藏科技

影响因子:0.202
ISSN:1004-3403
年,卷(期):2024.46(4)
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