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云南省某医院2008—2010年住院病人疾病分布分析
引用本文:李丽娟,张文,张永兵,申元英.云南省某医院2008—2010年住院病人疾病分布分析[J].大理学院学报,2012,11(3):70-73.
作者姓名:李丽娟  张文  张永兵  申元英
作者单位:1. 大理学院公共卫生学院,云南大理,671000
2. 大理学院附属医院,云南大理,671000
基金项目:云南省教育厅科研基金重点基金资助项目
摘    要:目的:了解云南省某医院近3年入院病人疾病分布特征,为医院合理设置科室和疾病防治工作提供参考依据。方法:收集该院2008年至2010年出院病例,录入Excel,并采用SPSS l1.0统计学软件进行统计分析。结果:2008年至2010年该医院住院病人数呈现逐年快速上升趋势;从住院病人的疾病谱来看,近3年该医院住院病人疾病占据前五位的是消化系统疾病、呼吸系统疾病、泌尿系统疾病、神经系统疾病和其他疾病,占总住院病例的60.4%;除性别外,婚姻状况、民族、职业之间存在统计学差异(P<0.001)。结论:通过对该医院住院病人疾病的构成分析,为医院更有效地开展疾病的研究和防治工作提供可靠的依据,提示医院要加强特色学科及特色科室的建设。

关 键 词:住院病人  疾病分布特征  分析

Analysis of Inpatients from a Hospital in Yunnan from 2008 to 2010
LI Lijuan,ZHANG Wen,ZHANG Yongbin,SHEN Yuanying.Analysis of Inpatients from a Hospital in Yunnan from 2008 to 2010[J].Journal of Dali University,2012,11(3):70-73.
Authors:LI Lijuan  ZHANG Wen  ZHANG Yongbin  SHEN Yuanying
Institution:1(1.College of Public Health,Dali University,Dali,Yunnan 671000,China; 2.Affiliated Hospital of Dali University,Dali,Yunnan 671000,China)
Abstract:Objective: To observe the change of disease distributional characteristics and epidemiology among patients in a hospital last three years in order to provide information for setting up reasonable department and preventing disease in the hospital.Methods: The data about clinical cases of 2008-2010 was collected,and analyzed by SPSS 11.0.Results: The number of inpatient had increased quickly year by year.The top five diseases occupied 60.4% among patients were diseases of digestive system,upper respiratory infection,viral encephalitis,neurological disorder,other diseases.There were significantly statistical differences in marital status,nationality and occupation.Conclusion: The hospital should adjust department,continue to establish our characteristic discipline and departments,and to strengthen the construction of other departments,to the limited resources on the reasonable configuration,so as to provide better,safe and effective medical care for patients,also promote good and fast development of the hospital.
Keywords:inpatients  disease distributional characteristics  analyze
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