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Statistical analysis of death cases among inpatients from a tertiary general hospital from 2018 to 2022 |
Shao Danting,Pu Xiaoyan,Yang Xiaofang,Zhao Sunfeng,Guo Shengcai |
The 903rd Hospital of Joint Support Force of PLA, Hangzhou 310013,China |
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Abstract Objective To analyze the disease characteristics of inpatient deaths in a tertiary general hospital from 2018 to 2022, and provide reference for the rational allocation of medical resources and the strengthening of medical quality management.Methods All inpatient information from the hospital information system from January 1, 2018 to December 31, 2022 were extracted for statistical analysis from the aspects of gender,age,death disease,case fatality rate, and death disease composition of hospitalized deaths with the use of Excel 2007 and SPSS 18.Results The mortality rate of inpatients was 0.64%. There were 443 male cases (65.63%) and 232 female cases(34.37%) among the 675 deaths. The top three causes of death were circulatory system diseases, respiratory system diseases, and tumors accounting for 28.44%,28.30%,and 27.56% of total deaths, respectively. The gender ratio of male to female deaths was 1.91∶1, the fatality rate was higher in males than in females, and the difference was statistically significant (χ2=46.068, P<0.001). The higher the age, the higher the fatality rate. The mortality rate rapidly increased after the age of 50.Conclusion The mortality rate of inpatients in the hospital is generally low, and the elderly are at high risk of death. Circulatory system diseases, malignant tumors and respiratory system diseases were the main causes of death.In medical work, medical resources should be scientifically and reasonably allocated based on patient gender, age, high incidence of mortality, and department characteristics to reduce case fatality rate.
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Received: 28 November 2023
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[1]中华人民共和国国务院.国务院关于实施健康中国行动的意见:国发〔2019〕13号[EB/OL].(20190715)[2023-10-09]https://www.gov.cn/zhengce/content/2019-07/15/content_5409492.htm..
[2]梁锦峰,邱建忠,李蜜,等.深圳市某三甲医院2014—2019年住院病人死亡病例分析[J].中国卫生统计,2021,38(3):425-427.DOI: 10.3969/j.issn.1002-3674.2021.03.028.
[3]吴朝红,吴吉林.重庆万州区2016年二级以上综合医院住院死亡患者统计分析[J].中国病案,2018,19(3):57-60.DOI: 10.3969/j.issn.1672-2566.2018.03.021.
[4]于蓓.某院2006—2015年住院死亡病例统计分析[J].中国卫生统计,2017,34(1):121-122.
[5]林伟研,刘养奇,林志丰,等.2010—2016年某院住院死亡病例的特征分析[J].中国卫生统计,2020,37(5):745-747.DOI: 10.3969/j.issn.1002-3674.2020.05.028.
[6]张国强,蒋海华,刘倩倩,等.2010—2014年江苏某三甲医院住院病例死亡分析[J].公共卫生与预防医学,2016,27(3):118-120.
[7]吴曼琪,孟依凡,安明扬,等.2017—2020年某三甲综合医院住院患者死亡病例分析[J].中国病案,2022,23(11):72-74.DOI: 10.3969/j.issn.1672-2566.2022.11.024.
[8]]刘银梅,张震军,万秋萍,等.2014—2019年某三甲医院3598例住院死亡病例统计分析[J].中国医院统计,2021,28(1):20-24.DOI: 10.3969/j.issn.1006-5253.2021.01.005.
[9]陈惠琼,周丹.563例住院死亡病例特征分析[J].中国医院统计,2022,29(2):122-124.DOI: 10.3969/j.issn.1006-5253.2022.02.009.
[10]ZHOU M G, WANG H D, ZENG X Y, et al. Mortality, morbidity, and risk factors in China and its provinces, 1990-2017:A systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2019,394(10204):1145-1158. DOI: 10.1016/S01406736(19)30427-1.
[11]2017 DIET COLLABORATORS G B D. Health effects of dietary risks in 195 countries, 1990-2017:A systematic analysis for the Global Burden of Disease Study 2017[J]. Lancet, 2019,393(10184):1958-1972. DOI: 10.1016/S0140-6736(19)30041-8.
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[2] |
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[4] |
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[5] |
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