临床科室科研绩效与人员构成的主成分回归分析

Principal component regression analysis of research performance and personnel composition in clinic departments

目的探究临床科室科研绩效人员构成的影响因素及其影响程度,为优化临床科室人员结构,促进医院科研业绩提升提供参考依据。方法回顾性分析2017年度某医院75个临床科室科研绩效评分及人员整体构成。用主成分回归法分析临床科室科研绩效与人员构成的关系。结果KMO统计量为0.635,P<0.001,模型有统计学意义。4个公因子分别为:中年女性、青年硕士、正高级职称者及硕士生导师、博士及博士生导师,累计方差贡献率87.19%。博士学位(β=124.164)、中级职称(β=123.573)、年龄≥40周岁(β=102.149)及博士生导师(β=95.309)是影响临床科室科研绩效最重要的4个影响因素。结论公因子数量的选择应结合多项判定标准及专业意义综合考虑。构建一个以博士生导师带头、中级中青年人员为基础、博士学位人员为骨干的人员队伍结构,有利于临床科室科研绩效的提升。

Objective The personnel composition factors and impact which influenced research performance of clinic departments were explored,to optimize personnel structure for further references on enhance the hospital scientific achievements.Methods The research performance scores and personnel overall composition of 75 clinic departments in the year of 2017 were retrospectively analyzed.Principal component regression was used to analyze the correlation between research performance and personnel composition.Results KMO was 0.635,P<0.001,the model had statistical significance.Four common factors identified were:middle-age females,young masters,senior master supervisors and doctors&doctoral supervisors.Accumulative variance contribution rate was 87.19%.After reducing equations,doctor degrees(β=124.164),intermediate professional title(β=123.573),Age≥40(β=102.149)and doctoral supervisors(β=95.309)were four most influential factors on research performance of clinic departments.Conclusions The selection of common factors should be comprehensively considered,combining with multiple criterions and professional significance.A team structure based on middle-aged and young people led by doctoral supervisors,and with backbones of doctoral degree personnel will help to improve the scientific research performance of clinical departments.