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居民住院卫生服务利用影响因素决策树分析
引用本文:曹伟燕, 王培承, 蔡伟芹, 孟祥臻. 居民住院卫生服务利用影响因素决策树分析[J]. 中国公共卫生, 2009, 25(5): 600-601. DOI: 10.11847/zgggws2009-25-05-49
作者姓名:曹伟燕  王培承  蔡伟芹  孟祥臻
作者单位:1.潍坊医学院预防医学系, 山东潍坊261042
基金项目:卫生部卫生政策支持项目利贫政策研领域(HPSP)课题 
摘    要:目的了解山东省潍坊市居民住院卫生服务利用现状,并分析其影响因素。方法采用分层随机抽样并进行入户调查;在对资料进行描述性分析的基础上,通过SAS Enterprise Miner软件建立决策树模型,分析居民住院卫生服务利用的影响因素。结果对居民是否利用住院卫生服务建立决策树模型,其对训练集,验证集,测试集有分类错误率分别为4.86%,4.94%,4.94%,按重要性排序筛选出前5位影响因素为是否患慢性病、人均收入、年龄、医疗保险类型和婚姻状况。结论不同人群住院卫生服务利用的影响因素不尽相同。针对不同人群,采用相应政策,降低应住院而未住院的比例,满足居民的住院卫生服务需要。

关 键 词:住院  影响因素  决策树  卫生服务利用
收稿时间:2008-11-04

Use of hospitalization services among residents of Weifang and its influencing factor
CAO Wei-yan, WANG Pei-cheng, CAI Wei-qin, . Use of hospitalization services among residents of Weifang and its influencing factor[J]. Chinese Journal of Public Health, 2009, 25(5): 600-601. DOI: 10.11847/zgggws2009-25-05-49
Authors:CAO Wei-yan  WANG Pei-cheng  CAI Wei-qin
Affiliation:1.Department of Preventive Medicine, Weifang Medical College, Weifang 261042, China
Abstract:ObjectiveTo assess the use of hospitalization services and its influencing factor among the residents of Weifang.MethodsData of the residents health service were collected throngh stratified and random asmpling.A decision tree model was built up with SAS software to analyze the data.ResultsThe misclassification of the training set, the valid set and the test set of the decision tree was 4.86%,4.94%,4.94%,respectively.The study found that the top five factors affecting the hospitalization probability included whether suffering from chronic disseases, the per capita income, age, the foun of medical insurance and marital status.ConclusionDifferentpolicies should be made for differentpopulations to fulfil the need of in-patient health service to the residents.
Keywords:hospitalization  influencing factor  decision tree  usage of health service
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