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2015—2018年某医院住院死亡病人死因及费用分析
引用本文:张璞. 2015—2018年某医院住院死亡病人死因及费用分析[J]. 中国医院统计, 2020, 0(2): 136-138,141
作者姓名:张璞
作者单位:南阳市中心医院统计科
摘    要:目的了解2015—2018年某医院住院病人的死亡原因及死亡病人人均费用的变化,以加强疾病的防治,降低住院病人病死率。方法根据ICD-10国际疾病分类原则对某院近4年的住院病案首页进行疾病分类,对住院病人的前10位死因进行顺位,分析前10位死亡病人人均费用的变化。结果近4年中收治病人数增加3.64%,病死率上升0.09个百分点,住院死亡病人人均费用增加11.78%;男性死亡人数明显高于女性死亡人数,60岁以上年龄组病人死亡人数最多。死因顺位中,循环系统疾病居第1位,恶性肿瘤疾病居第2位,呼吸系统疾病及损伤和中毒依次排在第3和第4位。结论加强循环系统疾病、恶性肿瘤的防治,降低住院病人的病死率。

关 键 词:死亡病人  死因  顺位  人均费用

Analysis on the causes of death and cost of inpatients in a hospital from 2015 to 2018
Zhang Pu. Analysis on the causes of death and cost of inpatients in a hospital from 2015 to 2018[J]. Chinese Journal of Hospital Statistics, 2020, 0(2): 136-138,141
Authors:Zhang Pu
Affiliation:(Statistics Department, Nanyang Central Hospital, Nanyang 473009, China)
Abstract:Objective To investigate the cause of death of inpatients in a hospital in recent four years and change of per capita cost of the dead patients,in order to strengthen the prevention and treatment of diseases and reduce the mortality rate of inpatients.Methods According to the ICD-10 international classification of diseases,the first page of inpatient medical records of a hospital in recent four years was classified,the top ten causes of inpatient were sequenced,and the change of the average cost of the top ten deaths was analyzed.Results The number of patients treated increased 3.64%in the past four years.The case fatality rate increased by 0.09%and the per capita cost of hospitalized death increased by 11.78%.The number of deaths of male was significantly higher than that of female,and the highest number of deaths was those over 60 years old.Among the causes of death,circulatory diseases ranked first,malignant tumor diseases ranked second,respiratory diseases,injuries and poisoning ranked third and fourth.Conclusion We should strengthen the prevention and treatment of diseases,improve people's quality of life and reduce the mortality of inpatients.
Keywords:death patient  cause of death  sequence  the cost per patient
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