中国全科医学 ›› 2018, Vol. 21 ›› Issue (28): 3436-3442.DOI: 10.12114/j.issn.1007-9572.2018.28.006

• 专题研究 • 上一篇    下一篇

基于PLS-SEM的家庭医生工作生活质量、职业认同与隐性缺勤的关系研究

卢慧敏,杨丹丹,苗春霞,黄琦,高修银*   

  1. 221000江苏省徐州市,徐州医科大学公共卫生学院
    *通信作者:高修银,教授,硕士生导师;E-mail:460629860@qq.com
  • 出版日期:2018-10-05 发布日期:2018-10-05
  • 基金资助:
    基金项目:教育部人文社科项目(14YJC880046);江苏省社科基金项目(15GLB012)

Associations Analysis of Work-related Quality of Life,Professional Identity and Presenteeism among Family Doctors Based on PLS-SEM

LU Huimin,YANG Dandan,MIAO Chunxia,HUANG Qi,GAO Xiuyin*   

  1. School of Public Health,Xuzhou Medical University,Xuzhou 221000,China
    *Corresponding author:GAO Xiuyin,Professor,Master supervisor;E-mail:460629860@qq.com
  • Published:2018-10-05 Online:2018-10-05

摘要: 目的 探讨家庭医生工作生活质量、职业认同与隐性缺勤的关系,为提高家庭医生的在岗工作效率提供参考。方法 首先,采用典型抽样法,于徐州市云龙区、泉山区、鼓楼区、铜山区、邳州、沛县、丰县各选取4~6个已开展家庭医生服务的社区卫生服务中心,共33家;然后整群纳入各社区卫生服务中心的全部家庭医生,共400例。采用自行设计的调查问卷,于2017年11月—2018年3月进行调查。问卷的主要内容包括家庭医生一般情况调查表以及工作生活质量量表、职业认同问卷、斯坦福隐性缺勤问卷(SPS-6)中文版。共发放问卷400份,回收有效问卷324份,问卷的有效回收率为81.0%。采用多元线性回归与最小二乘结构方程模型(PLS-SEM)分析家庭医生工作生活质量、职业认同与隐性缺勤之间的关系并建构模型。结果 工作生活质量量表各维度得分、职业认同问卷各维度得分与斯坦福隐性缺勤问卷(中文版)得分呈直线负相关(P<0.01)。除工作压力维度得分外,工作生活质量量表各维度得分与职业认同问卷得分呈直线正相关(P<0.01)。工作满意度得分、家庭工作关系得分、工作压力得分、工作控制得分、职业行为倾向得分、职业价值观得分、职业归属感得分是斯坦福隐性缺勤问卷(中文版)得分的影响因素。家庭医生工作生活质量对职业认同具有正向作用,路径系数为0.629;对隐性缺勤具有负向作用,路径系数为-0.343;职业认同对隐性缺勤具有负向作用,路径系数为-0.431;工作生活质量通过职业认同的中介作用对隐性缺勤产生影响,总效应为-0.614。结论 家庭医生拥有较高的工作生活质量评价对提高其职业认同具有积极影响,进而可降低他们因隐性缺勤所导致的生产力损失。

关键词: 家庭医生, 工作生活质量, 职业认同, 隐性缺勤, 最小二乘结构方程模型

Abstract: Objective To explore the associations between work-related quality of life,professional identity and presenteeism,providing a reference for improving the working efficiency of family doctors.Methods By cluster sampling,we enrolled all the family doctors(n=400) from 33 community health centers(CHCs) delivering family doctor services sampled representatively from Yunlong District,Quanshan District,Gulou District,Tongshan District,Pizhou City,Pei County and Feng County of Xuzhou City (4-6 CHCs were selected from each district/county/county-level city).Then,from November 2017 to March 2018,we conducted a survey in the sampled family doctors with a self-developed questionnaire consisting of demographic characteristics,Chinese version of Work-related Quality of Life(C-WRQoL) Scale,Professional Identity Scale(PIS),Chinese version of Stanford Presenteeism Scale (C-SPS-6).Totaled 324(81.0%) returning responsive questionnaires were finally included.Multiple linear regression and partial least squares structural equation modeling (PLS-SEM) were used to investigate the associations between work-related quality of life,professional identity and presenteeism and construct the model,respectively.Results The subscale scores of the C-WRQoL Scale and the CIS were negatively linearly correlated with the total score of C-SPS-6 (P<0.01).The subscale scores(except the score of stress at work) of the C-WRQoL Scale were positively linearly correlated with the total score of PIS (P<0.01).Scores of 4 subscales of the C-WRQoL Scale (job and career satisfaction,home-work interface,stress at work,control at work),and scores of 3 subscales of the PIS(tendency of professional behaviors,professional value,professional belongingness) were the factors influencing the total score of C-SPS-6.The work-related quality of life had a positive effect on professional identity with a path coefficient of 0.629,but had a negative effect on the presenteeism with a path coefficient of -0.343;the professional identity produced a negative effect on presenteeism,with a path coefficient of -0.431;the work-related quality of life affected the presenteeism through the intermediary role of professional identity,with an overall effect of -0.614.Conclusion Family doctors have a high subjective evaluation of work-related quality of life,which has a positive impact on improving their professional identity,and further reduces their productivity loss due to presenteeism.

Key words: Family doctor, Work-related quality of life, Professional identity, Presenteeism, Partial least squares structural equation modeling