护理群体亚健康相关影响因素研究
发布时间：2018-11-04 19:58
【摘要】：目的:调查省级三级甲等综合医院护理群体亚健康状况,重点是对其相关影响因素进行分析,为开展护理群体亚健康干预性研究提供基础,并为制定和实施护理群体亚健康防治措施提供目标和依据。方法:选用SF-36量表、护士职业倦怠量表和护士工作应激源量表,采用典型抽样方法,组建调查团队,选择五所省级三级甲等综合医院,共调查护士568名。在调查前、调查过程、资料整理、论文书写四个阶段实施质量控制,确保研究的真实、准确、合理。在数据统计与分析中,采取SPSS 17.0版统计学软件对研究所获取的数据进行统计学分析。采用Pearson方法进行相关分析。采用多元线性回归分析,确定护理群体亚健康的相关影响因素。结果:1.在单因素分析中,将年龄、工龄、科室、工作单位、学历、职称、聘用形式、个人收入八个人口学特征分别进行分组,对每个人口学特征采取方差分析后,采取LSD法两两比较。P0.05为差异,P0.01为显著性差异,二者均有统计学意义。2.在相关性研究中,通过Pearson相关分析,发现SF-36量表的八个维度与职业倦怠量表的七个维度均成负相关(P0.01);SF-36量表中的生理机能与工作性质成正相关(P0.05);生理职能与工作性质以及工作负荷成正相关(P0.05);社会功能与人际关系、护理期望成正相关(P0.05)。SF-36量表八个维度与工作应激源感受中的六个维度均成负相关(P0.01);SF-36量表中的健康变化指标与护士工作应激源影响度中的六个维度均成正相关(P0.01)。3.在多因素分析中,首先以健康变化指标为因变量,以各量表的维度为自变量进行多元线性回归分析,分析出8个影响维度;然后分别以SF-36量表健康变化指标和八个维度为因变量,以各量表中的条目为自变量进行多元线性回归分析,分析出健康变化指标有11个影响因素;生理机能有13个影响因素;生理职能有10个影响因素;躯体疼痛有8个影响因素;一般健康状况有16个影响因素;精力有14个影响因素;社会功能有18个影响因素;情感职能有7个影响因素;精神健康有15个影响因素。结论:1.26~30岁年龄组、5~10年工龄组、护师组和主管护师组的亚健康状况是最为严重的;在典型抽样的六个科室中儿科和急诊科两个科护士的亚健康状也是最严重;另外,个人收入、家庭收入、医院类别也影响着护理群体亚健康。基本没有差异的是聘用形式、性别、民族、职务、住房面积、户口所在地。2.护士的职业倦怠程度与亚健康程度呈正相关,即是说,职业倦怠程度越高,亚健康越严重。应激源影响度与亚健康程度呈正相关,也就是,应激源影响度越大,亚健康越严重。3.护理群体亚健康相关影响因素重点体现在“护士感到身体不适”、“工作让护士变得对待家人性情暴躁”、“护士变得神经质,总是处于爆发的边缘”、“护理工作范围广”这四个条目上。这些条目所属的维度分别是躯体、家庭、精神、工作性质四个方面。
[Abstract]:Objective: to investigate the sub-health status of nursing population in provincial Grade 3A general hospital, and to analyze the related influencing factors so as to provide the basis for the research on sub-health intervention of nursing group. It also provides the goal and basis for the establishment and implementation of measures for the prevention and treatment of sub-health in nursing groups. Methods: SF-36 scale, Nurses Burnout scale and Nurses' Job stressor scale were selected. The investigation team was set up by using typical sampling method, and 5 provincial general hospitals of Grade 3A were selected. A total of 568 nurses were investigated. Before the investigation, the investigation process, the data arrangement, the paper writing carries out the quality control in four stages, guarantees the research to be true, accurate, reasonable. In the process of data statistics and analysis, the statistical software of SPSS 17.0 was used to analyze the data obtained by the Institute. Correlation analysis was carried out by Pearson method. Multivariate linear regression analysis was used to determine the related factors of subhealth in nursing population. The result is 1: 1. In univariate analysis, eight demographic characteristics of age, length of service, department, work unit, educational background, professional title, employment form and personal income were grouped, and each demographic characteristic was analyzed by variance analysis. Adopt LSD method to compare pairwise. P0.05 is the difference, P0.01 is the significant difference, both have statistical significance. 2. In the correlation study, Pearson correlation analysis showed that the eight dimensions of SF-36 scale were negatively correlated with the seven dimensions of job burnout scale (P0.01), the physiological function of SF-36 scale was positively correlated with job nature (P0.05). Physiological function was positively correlated with work nature and workload (P0.05); There was a positive correlation between social function and interpersonal relationship and nursing expectation (P0.05). The eight dimensions of SF-36 scale were negatively correlated with six dimensions of job stressor perception (P0.01). There was a positive correlation between the health changes in SF-36 scale and the six dimensions of the influence degree of the nurses' work stressor (P0.01). In the multivariate analysis, the health change index is taken as the dependent variable, and the dimension of each scale is taken as the independent variable to carry out multivariate linear regression analysis, and eight influencing dimensions are analyzed. Then the health change index and eight dimensions of SF-36 scale were taken as dependent variables, and the items in each scale were taken as independent variables for multivariate linear regression analysis, and 11 influencing factors were analyzed. There were 13 influencing factors in physiological function, 10 in physiological function, 8 in somatic pain, 16 in general health, 14 in energy and 18 in social function. There are 7 influencing factors in affective function and 15 in mental health. Conclusion: 1.The subhealth status of 30 years old group, 5 ~ 10 years old group, nurse group and director nurse group is the most serious, and the subhealth status of nurses in pediatric department and emergency department is the most serious in the six departments of typical sampling. In addition, personal income, family income, hospital categories also affect subhealth care groups. There is basically no difference in the form of employment, gender, nationality, position, housing area, residence location. 2. The degree of job burnout of nurses is positively correlated with the degree of sub-health, that is, the higher the degree of job burnout, the more serious sub-health. The influence degree of stress source is positively correlated with the degree of sub-health, that is, the greater the influence of stress source, the more serious sub-health. The influencing factors of sub-health in nursing group are mainly reflected in "nurses feel unwell", "work makes nurses become irritable towards their families" and "nurses become neurotic and always on the verge of outbreak". There are four items on the "wide range of nursing work". These items belong to four dimensions: body, family, spirit and nature of work.
【学位授予单位】：山东中医药大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：R47
[Abstract]:Objective: to investigate the sub-health status of nursing population in provincial Grade 3A general hospital, and to analyze the related influencing factors so as to provide the basis for the research on sub-health intervention of nursing group. It also provides the goal and basis for the establishment and implementation of measures for the prevention and treatment of sub-health in nursing groups. Methods: SF-36 scale, Nurses Burnout scale and Nurses' Job stressor scale were selected. The investigation team was set up by using typical sampling method, and 5 provincial general hospitals of Grade 3A were selected. A total of 568 nurses were investigated. Before the investigation, the investigation process, the data arrangement, the paper writing carries out the quality control in four stages, guarantees the research to be true, accurate, reasonable. In the process of data statistics and analysis, the statistical software of SPSS 17.0 was used to analyze the data obtained by the Institute. Correlation analysis was carried out by Pearson method. Multivariate linear regression analysis was used to determine the related factors of subhealth in nursing population. The result is 1: 1. In univariate analysis, eight demographic characteristics of age, length of service, department, work unit, educational background, professional title, employment form and personal income were grouped, and each demographic characteristic was analyzed by variance analysis. Adopt LSD method to compare pairwise. P0.05 is the difference, P0.01 is the significant difference, both have statistical significance. 2. In the correlation study, Pearson correlation analysis showed that the eight dimensions of SF-36 scale were negatively correlated with the seven dimensions of job burnout scale (P0.01), the physiological function of SF-36 scale was positively correlated with job nature (P0.05). Physiological function was positively correlated with work nature and workload (P0.05); There was a positive correlation between social function and interpersonal relationship and nursing expectation (P0.05). The eight dimensions of SF-36 scale were negatively correlated with six dimensions of job stressor perception (P0.01). There was a positive correlation between the health changes in SF-36 scale and the six dimensions of the influence degree of the nurses' work stressor (P0.01). In the multivariate analysis, the health change index is taken as the dependent variable, and the dimension of each scale is taken as the independent variable to carry out multivariate linear regression analysis, and eight influencing dimensions are analyzed. Then the health change index and eight dimensions of SF-36 scale were taken as dependent variables, and the items in each scale were taken as independent variables for multivariate linear regression analysis, and 11 influencing factors were analyzed. There were 13 influencing factors in physiological function, 10 in physiological function, 8 in somatic pain, 16 in general health, 14 in energy and 18 in social function. There are 7 influencing factors in affective function and 15 in mental health. Conclusion: 1.The subhealth status of 30 years old group, 5 ~ 10 years old group, nurse group and director nurse group is the most serious, and the subhealth status of nurses in pediatric department and emergency department is the most serious in the six departments of typical sampling. In addition, personal income, family income, hospital categories also affect subhealth care groups. There is basically no difference in the form of employment, gender, nationality, position, housing area, residence location. 2. The degree of job burnout of nurses is positively correlated with the degree of sub-health, that is, the higher the degree of job burnout, the more serious sub-health. The influence degree of stress source is positively correlated with the degree of sub-health, that is, the greater the influence of stress source, the more serious sub-health. The influencing factors of sub-health in nursing group are mainly reflected in "nurses feel unwell", "work makes nurses become irritable towards their families" and "nurses become neurotic and always on the verge of outbreak". There are four items on the "wide range of nursing work". These items belong to four dimensions: body, family, spirit and nature of work.
【学位授予单位】：山东中医药大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：R47
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