[1]徐 宁,胡 琦,张丽虹,等.基于主成分回归模型的宁夏卫生总费用影响因素分析[J].医学信息,2021,34(20):28-31.[doi:10.3969/j.issn.1006-1959.2021.20.007]
　XU Ning,HU Qi,ZHANG Li-hong,et al.Analysis on Influencing Factors of Total Health Expenditure in Ningxia Based onPrincipal Component Regression Model[J].Medical Information,2021,34(20):28-31.[doi:10.3969/j.issn.1006-1959.2021.20.007]
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基于主成分回归模型的宁夏卫生总费用影响因素分析()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
34卷
期数:
2021年20期
页码:
28-31
栏目:
出版日期:
2021-10-20

文章信息/Info

Title:
Analysis on Influencing Factors of Total Health Expenditure in Ningxia Based onPrincipal Component Regression Model
文章编号:
1006-1959（2021）20-0028-04
作者:
徐 宁1; 2; 胡 琦1; 2; 张丽虹1; 2; 汤 榕1; 2
1.宁夏医科大学公共卫生与管理学院，宁夏 银川 750004；2.宁夏环境因素与慢性病控制重点实验室，宁夏 银川 750004
Author(s):
XU Ning1; 2; HU Qi1; 2; ZHANG Li-hong1; 2; TANG Rong1; 2
1.School of Public Health and Management,Ningxia Medical University,Yinchuan 750004,Ningxia,China;2.Key Laboratory of Environmental Factors and Chronic Disease Control,Yinchuan 750004,Ningxia,China
关键词:
卫生总费用; 卫生资源配置; 卫生服务; 医疗卫生支出
Keywords:
Total health expenditure; Health resource allocation; Health services; Health expenditure
分类号:
R19
DOI:
10.3969/j.issn.1006-1959.2021.20.007
文献标志码:
A
摘要:
目的 通过科学分析宁夏卫生总费用的影响因素，为宁夏卫生行政部门合理控制卫生总费用，优化卫生资源配置，提高卫生服务公平可及性提供参考依据。方法 梳理国内外关于卫生总费用影响因素的相关文献，筛选出年末常住人口数、65岁以上人口占常住人口比重等9个影响因素，利用主成分分析法提取主成分后，以标化的卫生总费用为因变量，主成分得分为自变量进行多元线性回归分析，探寻宁夏卫生总费用的影响因素。结果 年末常住人口数、65岁以上人口占常住人口比重、人均地区生产总值、医疗卫生支出占财政支出比重、每千人拥有医疗机构床位数、每千人拥有卫生技术人员数与卫生总费用呈正相关。其中，每千人拥有卫生技术人员数对卫生总费用的相对影响程度最大（0.1400），每千人拥有医疗机构床位数次之（0.1375），人口自然增长率、居民消费价格指数、病床使用率与卫生总费用呈负相关，而病床使用率对卫生总费用的相对影响程度最大（-0.1341）。结论 每千人拥有卫生技术人员数、每千人拥有医疗机构床位数等因素对宁夏卫生总费用具有正向影响；病床使用率、人口自然增长率等对宁夏卫生总费用具有负向影响。主成分回归分析能够较好地分析宁夏卫生费用的影响因素，具有一定的科学性。建议政府部门应合理、有效控制卫生总费用过快增长，关注多种因素对于卫生总费用的影响。
Abstract:
Objective To scientific analyze the influencing factors of total health expenditure in Ningxia, so as to provide reference for Ningxia health administrative departments to reasonably control total health expenditure, optimize health resource allocation and improve equitable access to health services.Methods By sorting out and summarizing relevant domestic and foreign literatures on influencing factors of total health expenditure, 9 influencing factors were screened out, including the number of permanent residents at the end of the year and the proportion of population over 65 years old in permanent residents and etc. After the principal component analysis was used to extract the principal components, the standardized total health expenditure was taken as the dependent variable and the principal component score was taken as the independent variable to analyze the influencing factors of the total health expenditure in Ningxia.Results The number of permanent residents at the end of the year, the proportion of population over 65 years old in permanent residents, per capita GDP, the proportion of medical and health expenditure in fiscal expenditure, the number of beds in medical institutions per thousand people and the number of health technicians per thousand people were positively correlated with the total health expenditure. Among them, the number of health technicians per thousand people had the greatest relative impact on the total health cost (0.1400), followed by the number of medical institutions per thousand people (0.1375). Natural population growth rate, consumer price index, hospital bed utilization rate were negatively correlated with the total health cost, and the relative influence degree of bed utilization rate on the total health cost was the largest (-0.1341).Conclusion The number of health technicians per thousand people and the number of beds per thousand people with medical institutions have a positive impact on the total health expenditure in Ningxia. The bed utilization rate and natural population growth rate have negative effects on the total health expenditure in Ningxia. The principal component regression analysis can better analyze the influencing factors of health expenditure in Ningxia, which is scientific to some extent. The government should reasonably and effectively control the excessive growth of total health expenditure, and pay attention to the influence of various factors on total health expenditure.

参考文献/References:

[1]孟庆跃.卫生经济学[M].北京:人民卫生出版社,2013:15.[2]杨圣贤.天津市卫生总费用筹资现状分析与对策研究[D]. 天津:天津医科大学,2013.[3]卫生部卫生经济研究所.2008年中国卫生总费用研究报告[M].北京:卫生部卫生经济研究所,2008:100-102.[4]唐波,闫彬彬.基于状态空间模型的我国卫生总费用分析[J].中国卫生经济,2014,33(3):50-51.[5]张少谦.基于组合模型的甘肃省卫生总费用预测研究[D].唐山:华北理工大学,2019.[6]李彤,宋跃晋,周仪,等.基于多元线性回归模型的广东省卫生总费用的影响因素分析[J].医学与社会,2020,33(4):66-69,83.[7]刘巧艳.基于系统动力学的中国卫生总费用影响因素分析及预测模型研究[D].武汉:华中科技大学,2018.[8]李相荣,张秀敏,任正,等.基于主成分回归分析法的我国人均卫生费用的影响因素分析[J].医学与社会,2020,33(7):5-8,13.[9]文捷,杜福贻,李丽清,等.我国卫生总费用影响因素及实证研究[J].中国全科医学,2016,19(7):824-827.[10]白奕.多指标综合评价的主成分分析模型及原理[J].陕西师范大学学报(自然科学版),1998(2):109-110.[11]王卫红,张云,李婧,等.我国人均卫生费用的影响因素研究——基于主成分回归分析法[J].卫生软科学,2020,34(9):52-55.[12]张秀菊.河北省与周边省市卫生总费用差异性研究[D].唐山:河北联合大学,2014.[13]张自宽.漫谈经济体制转轨期的医院经营管理问题[J].中国医院管理,1997(11):7-9.[14]乐小兵.基于公平性的我国卫生资源配置的实证分析[D].南昌:南昌大学,2007.[15]徐珍.湖南省卫生机构人力与床位资源配置研究[D].长沙:中南大学,2012.[16]徐宁泽,朱坤,施李正,等.卫生技术评估在基于价值的卫生总费用管理中的应用探讨[J].中华医院管理杂志,2019(9):719-722.[17]裴冬梅,郭启勇,郑黎强,等.我国二、三级综合医院病床使用率现状对比分析[J].中国医院,2016,20(1):20-22.[18]张伟,叶军,付虹.医院床位配置与利用效益分析[J].中国卫生统计,1999(5):65.[19]牛文燕.利用效率指数模型与散点图评价床位利用效率[J].中国医院统计,2017,24(1):24-26,29.[20]许斯,职晨阳.2014-2016年河南省三级甲等医院出院患者平均住院日调查分析[J].中国医院,2018,22(8):30-32.[21]陈险峰.加强门急诊管理是缩短平均住院日的重要途径[J].中华医院管理杂志,2007(2):121-123.[22]袁磊,胡建辉,王胤丞,等.上海市“十三五”期间卫生总费用预测[J].解放军医院管理杂志,2019,26(5):405-409.

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更新日期/Last Update: 1900-01-01