摘要
目的分析三级甲等医院医护人员隐性缺勤现况及其与心理资本的关系。方法采用方便抽样法,选择济南市3家三级甲等医院的462名医护人员为研究对象。采用《健康生产力受损量表》《心理资本量表》对其隐性缺勤和心理资本进行调查。结果研究对象中隐性缺勤、心理资本的得分中位数与第0~100百分位数分别为16(6~29)和95(20~120)分。心理资本与隐性缺勤的总分呈低度负相关(偏相关系数为-0.34,P<0.01)。多重线性回归分析结果显示,在校正性别、年龄、文化程度、职称、科室和工龄等混杂因素后,心理资本得分越高,隐性缺勤的得分越低(P<0.01)。结论三级甲等医院医护人员隐性缺勤与心理资本水平呈负相关。应积极采取措施提升医护人员心理资本,以控制隐性缺勤的发生。
Objective To analyze the absenteeism of medical staff in tertiary hospital and its relationship with psychological capital.Methods A total of 462 medical staff from a tertiary hospital in Jinan City were selected as the research subjects by convenience sampling method.The Stanford Presenteeism Scale and Psychological Capital Scale were used to investigate the absenteeism and psychological capital.Results The median and the 0th-100th percentile of score was 16(6-29)in absenteeism and was 95(20-120)in psychological capital in the research subjects.The total score of psychological capital was negatively correlated with the total score of absenteeism(partial correlation coefficient was-0.34,P<0.01).The results of multiple linear regression analysis showed that the higher the level of psychological capital,the lower the risk of absenteeism(P<0.01),after adjusting for confounding factors such as gender,age,education level,professional title,department and length of service.Conclusion The absenteeism of medical staff in tertiary hospital was negatively correlated with psychological capital level.Measures should be taken to improve the psychological capital of medical staff to control the occurrence of hidden absenteeism.
作者
张洪磊
贾龙强
孟丽红
肖红
王敏
陈学禹
段禹辰
叶欣
ZHANG Hong-lei;JIA Long-qiang;MENG Li-hong;XIAO Hong;WANG Min;CHEN Xue-yu;DUAN Yu-chen;YE Xin(The First Affiliated Hospital of Shandong First Medical University(Shandong Provincial Qianfoshan Hospital),Jinan,Shandong250014,China;不详)
出处
《中国职业医学》
CAS
北大核心
2022年第3期307-310,共4页
China Occupational Medicine
基金
山东省医药卫生科技发展计划项目(2016WS0487)
山东第一医科大学(山东省医学科学院)教育教学改革研究项目(2021XY080)。
关键词
医护人员
隐性缺勤
心理资本
相关性
影响因素
Medical staff
Absenteeism
Psychological capital
Correlation
Influence factor
