医务人员职业紧张状况及其相关因素的调查研究

发布时间：2018-04-30 15:44

本文选题：医务人员 + 职业紧张　；参考：《山西医科大学》2014年硕士论文

【摘要】：目的：探明医疗行业从业人员职业紧张状况以及职业紧张状况相关的变量并对其关系进行研究。以职业紧张作为自变量，个体身心健康作为因变量，探究职业满意和职业倦怠在其中所起到的作用，以及职业紧张如何影响个体身心健康。方法：研究通过对山西省6个医院的2200名被试进行问卷调研，通过《付出回报失衡量表》，《工作内容量表》，《职业倦怠量表》，《明尼苏达满意度量表》、《生命质量量表》及《焦虑量表》测量医疗机构从业者职业紧张，职业倦怠，职业满意度和身心健康4个方面现状，研究使用Spss21.0和Amos21.0软件对数据进行分析，采用T检验、F检验、person相关分析、回归分析进行研究，，并通过构建模型探讨其中关系。结果： 1.在回归分析中，工作要求显著预测一般健康状况Beta=0.062（P＜0.05），工作要求显著预测社会功能Beta=0.053（P＜0.05），自主程度显著预测精神健康Beta=0.081（P=0.001）工作要求显著预测精神健康Beta=0.055（P＜0.05）、外在付出显著预测躯体疼痛Beta=-0.084（P＜0.01），内在投入显著预测躯体疼痛Beta=0.098（P=0.01），外在付出显著预测一般健康状况Beta=-0.092（P=0.003），内在投入显著预测一般健康状况Beta=0.116（P＜0.001）、外在付出显著预测精力Beta=-0.120（P＜0.001）、外在付出显著预测精神健康Beta=0.122（P＜0.001），回报显著预测精神健康Beta=-0.141（P＜0.001），内在投入显著预测精神健康Beta=0.074（P＜0.05）、回报显著预测健康变化Beta=0.112（P＜0.001），内在投入显著预测健康变化Beta=-0.092（P＜0.01）社会支持显著预测焦虑Beta=-0.080（P＜0.01），内在投入显著预测焦虑Beta=-0.103（P＜0.001）。 2.在结构方程模型中，（1）付出回报对职业满意路径系数为-0.658（p＜0.001）；（2）工作内容对职业满意路径系数为0.642（p＜0.001）；（3）职业倦怠对焦虑路径系数为0.16（p＜0.001）；（4）工作内容对职业倦怠的路径系数为-0.151（p＜0.001）；（5）付出回报对职业倦怠的路径系数为0.537（p＜0.001）；（6）工作满意对焦虑的路径系数为0.765（p＜0.001）；（7）工作内容对焦虑的路径系数不显著（p〉0.05）；（8）付出回报对焦虑的路径系数不显著（p〉0.05)。结论： 1.不同人口学变量被试在职业紧张、职业倦怠、职业满意度和身心健康上存在差异； 2.职业紧张对于个体的工作倦怠和工作满意的影响较强，而对于个体身心健康影响较弱； 3.个体对于工作倦怠和工作满意度的感知会对个体的生命质量和焦虑产生影； 4.满意度作为付出回报和工作内容对焦虑的完全中介变量起到作用，而职业倦怠上不存在中介效应。
[Abstract]:Objective: To find out the related variables of occupational stress and occupational stress among medical workers and to study the relationship between them. Taking occupational stress as independent variable and individual physical and mental health as dependent variable, this paper explores the role of job satisfaction and job burnout, and how occupational stress affects individual physical and mental health. Methods: A questionnaire survey was conducted among 2200 subjects in 6 hospitals in Shanxi Province. Job burnout, Minnesota satisfaction scale, quality of Life scale and anxiety scale were used to measure occupational stress and job burnout in medical institutions, including the payback imbalance scale, the Job content scale, the Job Burnout scale, the Minnesota satisfaction scale, the quality of Life scale and the anxiety scale. The present situation of occupational satisfaction and physical and mental health was studied. The data were analyzed by Spss21.0 and Amos21.0 software, the correlation analysis of person with T test and regression analysis were carried out, and the relationship between them was discussed by constructing a model. Results: 1. In regression analysis, Job requirements significantly predicted general health status Beta=0.062(P < 0.05, job requirements significantly predicted social function Beta=0.053(P < 0.05, autonomous degree significantly predicted mental health Beta=0.055(P < 0.05, external pay significantly predicted somatic pain Beta=-0.084(P < 0.01, internal investment significantly. Significant predictor of somatic pain, external payout significantly predicted general health status, internal input significantly predicted general health status Beta=0.116(P < 0. 001, external payout significantly predicted mental health Beta=0.122(P < 0. 001, and return was significantly predicted by external payout, significant predictive energy, mental health Beta=0.122(P < 0. 001, internal input significantly predicted general health status, external payout significantly predicted mental health Beta=0.122(P < 0. 001. Mental health (Beta=-0.141(P < 0. 001), internal input significantly predicted mental health (Beta=0.074(P < 0. 05), return significantly predicted health change (Beta=0.112(P < 0. 001), internal input significantly predicted health change (Beta=-0.092(P < 0. 01) Social support significantly predicted anxiety (Beta=-0.080(P < 0. 01), internal input significantly predicted anxiety (Beta=-0.103(P < 0. 001). 2. In the structural equation model, the path coefficient of payoff to job satisfaction is -0.658 (p < 0.001) the job content is 0.642p < 0.001) job burnout is 0.16p < 0.001 / 4) the path coefficient of job content to job burnout is -0.151p < 0.001n / min) The path coefficient of job satisfaction to anxiety was 0. 765 p < 0. 001) the path coefficient of job content to anxiety was not significant (p > 0. 05) the path coefficient of pay reward to anxiety was not significant (p > 0. 05). Conclusion: 1. There were differences in occupational stress, job burnout, job satisfaction and physical and mental health among subjects with different demographic variables. 2. The effects of occupational stress on job burnout and job satisfaction were stronger than those on individual physical and mental health. 3. The perception of job burnout and job satisfaction will affect the quality of life and anxiety. 4. Satisfaction, as a reward and job content, plays a role in the complete mediating variable of anxiety, but there is no intermediary effect on job burnout.
【学位授予单位】：山西医科大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：B849

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