基于最小二乘法的上海市临床工程人员数量配置影响因素分析  

Analysis of Influencing Factors of Clinical Engineering Personnel Quantity Allocation in Shanghai Based on Least Square Method

作　　者：王佳玉 郑蕴欣[1,4] 陈颖 汪黎君[5] 李斌 WANG Jiayu;ZHENG Yunxin;CHEN Ying;WANG Lijun;LI Bin(Department of Medical Equipment,Shanghai Sixth People’s Hospital,Shanghai 200233,China;Department of Operation Support,Shanghai Sixth People’s Hospital,Shanghai 200233,China;Office of Comprehensive Emergency Response,Shanghai Sixth People’s Hospital,Shanghai 200233,China;Shanghai Medical Equipment Management Quality Control Center,Shanghai 200233,China;Center of Procurement,Shanghai Tongji Hospital Affiliated to Tongji University,Shanghai 200333,China)

机构地区：[1]上海市第六人民医院医学装备处,上海200233 [2]上海市第六人民医院运行保障部,上海200233 [3]上海市第六人民医院综合办公室,上海200233 [4]上海市医疗设备器械管理质量控制中心,上海200233 [5]同济大学附属上海市同济医院采购中心,上海200333

出　　处：《中国医疗设备》2025年第1期104-108,123,共6页China Medical Devices

基　　金：国家重点研发计划(2022YFC2407005);上海市卫生系统后勤管理协会课题研究项目(WSHQYJY KT-07-2023)。

摘　　要：目的分析临床工程人员数量配置的影响因素,并构建临床工程人员数量配置的数学模型。方法基于《2021年上海市医疗器械管理质控中心年度基线调查表》,应用Stata 15.0软件对数据进行整理分析,探究是否成立采购中心、业务是否外包、医院床位数、医院等级和医疗设备总资产等与临床工程人员数量的统计学关系,使用最小二乘法构建多元回归模型,并对模型进行后验分析。结果Spearman相关分析结果显示,临床工程人员数量与医院床位数(r=0.7665,P<0.05)、医院等级(r=0.5942,P<0.05)、业务是否外包(r=-0.2924,P<0.05)有相关性,决定系数R2=0.6229,模型的拟合度较好。在后验分析中,模型不存在多重共线性(VIF=1.74<5),无明显异常值(D_(max)=0.394<0.5),残差不存在自相关(d=1.936>du,du=1.73),且残差符合正态分布(P=0.199>0.05),满足方差齐性,因此该多元回归模型具有统计学意义。结论影响上海市临床工程人员数量的因素有医院床位数、医院等级和业务是否外包3个变量,其中医院床位数和医院等级与临床工程人员数量呈正相关关系,而业务是否外包与临床工程人员数量呈负相关关系。本研究构建的回归模型可为各医疗机构的临床工程人员数量配置提供参考。Objective To analyze the factors influencing the quantity of clinical engineering personnel allocation,and to construct a mathematical model for the quantity of clinical engineering personnel allocation.Methods Based on the Annual Baseline Questionnaire of Shanghai Medical Device Management Quality Control Center in 2021,Stata 15.0 was applied to collate and analyze the data,and explore the statistical relationship between the quantity of clinical engineering personnel and the establishment of procurement centers,outsourcing or not of business,number of hospital beds,hospital grade and total assets of medical equipment,etc.The least square method was used to construct a multiple regression model,and the posterior analysis was carried out on the model.Results Spearman correlation analysis showed that the quantity of clinical engineering personnel was correlated with the number of hospital beds(r=0.7665,P<0.05),hospital grade(r=0.5942,P<0.05),and outsourcing or not of business(r=-0.2924,P<0.05).The coefficient of determination R2 was 0.6229,indicating a good fit of the model.In the posterior analysis,the model had no multicollinearity(VIF=1.74<5)and no obvious outliers(D_(max)=0.394<0.5),the residuals had no autocorrelation(d=1.936>du,du=1.73),and the residuals were normally distributed(P=0.199>0.05),and satisfied the homogeneity of variance.Therefore,this multiple regression model had statistical significance.Conclusion There are three variables affecting the quantity of clinical engineering personnel in Shanghai,including the number of hospital beds,hospital grade and outsourcing or not of business.The number of hospital beds and hospital grade are positively correlated with the quantity of clinical engineering personnel,while outsourcing not of business is negatively correlated with the quantity of clinical engineering personnel.The regression model constructed in this study can provide reference for the quantity allocation of clinical engineering personnel in various medical institutions.

关 键 词：临床工程人员 医学装备管理 人员配置 多元回归 最小二乘法 后验分析 

分 类 号：R197.3[医药卫生—卫生事业管理]