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Influencing factors of super long hospitalization days in an infectious disease hospital |
Zhang Haidong, Li Yumei, Wu Junxia |
Department of General Statistics, Third Affitiated Hospital of Nantong University, Nantong 226000, China |
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Abstract Objective To analyze the distribution characteristics and influencing factors of patients with extralong hospitalization days in a tertiary infectious disease hospital in Nantong City, Jiangsu Province, and to explore measures to reduce the average hospital stay. Methods According to the disease classification ICD10 (A00-B99, J00-J99, K00-K93, Z00-Z99), the first page information of medical records of discharged patients in 2019 was collected, and logistic regression was performed on the relevant factors of patients who were hospitalized for more than 30 days. Results Among the 5 928 discharged patients, 878 were hospitalized for more than 30 days, accounting for 14.81% of all discharged patients in the infectious disease area. Among them, the proportion of male patients (67.43%) was higher than that of female patients (32.57%). Logistic regression analysis showed that age, disease classification, comorbidities, surgical operation, the difficult and critically ill, and antibiotic use were influencing factors for extremely long hospital days(P<0.05). Conclusion The hospital management department should focus on the management and monitoring of factors that affect the length of hospital stay in the infectious disease area, and establish standardized treatment plans according to disease types, improve medical standards, optimize medical resources, shorten the number of hospital stays, and achieve a winwin situation for patients and hospitals.
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Received: 14 July 2021
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[1]马国岭,苏啸天,胡海燕.某院2013—2017年骨科超长住院日及其影响因素研究[J].中国卫生统计,2019,36(5):703-705.
[2]卫生部办公厅.关于印发《三级综合医院评审标准实施细则(2011年版)》的通知:卫办医管发[2011]148号[EB/OL].(2012-01-17)[2021-06-14]. http://wjw.jiangsu.gov.cn/art/2012/1/17/art_7316_4426001.html.
[3]吕青海,刘罡,周红艳,等.肿瘤专科医院2 647例超长住院日患者分布特征及影响因素分析[J].中国肿瘤,2019,28(3):198-201.
[4]明星辰,方孝梅,罗勤,等.3 574例超长住院日病例分析与改进建议[J].中国卫生质量管理,2017,24(4):25-28.
[5]凌爱芳.某院1740例超长住院日患者影响因素分析[J].中国卫生统计,2017,34(1):102-103.
[6]汪雅璇,张馨予,李书,等.医院床位资源利用与平均住院日的国内外比较分析[J].中华医院管理杂志,2016,32(5):361-364.
[7]刘艳红.某三级甲等医院超长住院日现状分析及对策[J].中国社会医学杂志,2016,33(5):498-500.
[8]黄庆辉,胡敏.医联体建设的模式分析和国际经验借鉴[J].中国医院,2015,19(10):56-59.
[9]王健,聂良华,严志刚,等.某三甲医院超长住院日患者分布特征与影响因素分析[J].中国病案,2019,20(7):52-56.
[10]常开锋,相龙伟,孔磊,等.山东省平邑县2008—2019年传染病发病趋势分析[J].中国医院统计,2020,27(6):532-536.
[11]张圆.2016年某三甲医院超长住院日分析[J].中国医院统计,2018,25(3):236-238. |
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