|
|
Analysis of influencing factors of prolonged length of stay in a dermatological hospital based on the generalized estimating equation |
Lin Jinxiong1, Ren Yitao2, Liao Yuehua3, An Ningbo1 |
1 Dermatology Hospital, Southern Medical University, Guangzhou 510091, China;
2 School of Health Service Management, Southern Medical University, Guangzhou 510515, China;
3 Foshan Center for Disease Control and Prevention, Foshan 528051, China |
|
|
Abstract Objective To analyze the distribution characteristics and risk factors of prolonged hospital length of stay in dermatosis patients based on generalized estimation equation (GEE).Methods Medical records of patients who were diagnosed with dermatosis from 2015 to 2019 in Guangzhou were collected and the GEE was applied to analyze the critical influencing factors of prolonged length of stay.Results Seven hundred and thirty-five inpatients with extremely long hospital stay in recent 5 years were selected, accounting for 4.80% of all patients included in the analysis. The results of GEE model showed that age (OR=1.322, 95%CI:1.110-1.598), marital status (OR=1.899, 95%CI: 1.476-2.442), medical insurance (OR=0.615, 95%CI: 0.516-0.733), surgery (OR=3.270, 95%CI: 2.727-3.921), nosocomial infection (OR=3.972, 95%CI:2.569-6.142), rehospitalization within one month (OR=2.227, 95%CI: 1.438-3.451) and the use of antibiotics (OR=5.891, 95%CI: 4.791-7.243) were influencing factors of prolonged length of stay.Conclusion The prolonged length of stay is related to clinical and social factors of patients with skin diseases. It is necessary to strengthen the monitoring of the influencing factors of prolonged hospital stay, shorten the average hospital stay by effective management means, and realize the rational allocation of medical resources.
|
Received: 22 March 2022
|
|
|
|
[1]朱玉,王静,何倩.广义估计方程在SPSS统计软件中的实现[J].中国卫生统计,2011,28(2):199-201.DOI:10.3969/j.issn.1002-3674.2011.02.031.
[2]高彩虹.基于广义估计方程和潜变量增长曲线模型的阿尔茨海默病健康相关生命质量动态变化研究[D].太原:山西医科大学,2012.
[3]潘娣,王荣辉,周财亮,等.大学生健身意识和健身行为对体质影响的追踪研究[J].北京体育大学学报,2016,39(12):68-73.DOI:10.19582/j.cnki.11-3785/g8.2016.12.011.
[4]顾刘金.应用广义估计方程分析纵向数据[J].预防医学,2018,30(1):106-107.DOI:10.3969/j.issn.1007-0931.2018.01.032.
[5]SOMERS A R. Marital status, health, and use of health services. An old relationship revisited[J]. JAMA, 1979, 241(17):1818-1822.
[6]刘鹤飞,龙腾飞,柳璐,等.婚姻状况对早期乳腺癌患者生存影响的真实世界研究[J].肿瘤研究与临床,2022,34(3):198-203.DOI:10.3760/cma.j.cn115355-20211205-00560.
[7]焦开山.中国老人丧偶与其死亡风险的关系分析:配偶照顾的作用[J].人口研究,2010,34(3):64-76.
[8]KUMAR S, WILLIAMS L. Health and marital status of older Chinese couples and implications for intergenerational co-residence[J]. Ageing Soc, 2021, 41(9):2143-2170. DOI:10.1017/s0144686x20000355.
[9]彭学标.老年人的瘙痒性皮肤病[J].中国皮肤性病学杂志,2000,14(3):173-174.DOI:10.3969/j.issn.1001-7089.2000.03.019.
[10]李向一,王清亮,张永媛,等.基于广义估计方程的某三甲医院超长住院日影响因素分析[J].山东大学学报(医学版),2021,59(1):102-107.
[11]张海东,李育梅,吴俊霞.南通市某三级甲等医院传染科超长住院天数影响因素分析[J].中国医院统计,2021,28(5):429-432.DOI:10.3969/j.issn.1006-5253.2021.05.011.
[12]杨联,周军,刘念洲,等.某院2018年—2019年超长住院患者特征分布分析[J].中国病案,2021,22(9):51-55.DOI:10.3969/j.issn.1672-2566.2021.09.021.
[13]陈建证.某传染病医院抗菌药物使用管理与干预分析[J].沈阳药科大学学报,2021,38(S1):125.
[14]TAMMA P D, AVDIC E, LI D X, et al. Association of adverse events with antibiotic use in hospitalized patients[J]. JAMA Intern Med, 2017, 177(9):1308-1315. DOI:10.1001/jamainternmed.2017.1938.
[15]马彩红,周明慧.基层医院临床药师在抗菌药物合理应用中的干预效果分析[J].甘肃医药,2021,40(6):545-546.DOI:10.15975/j.cnki.gsyy.2021.06.024.
[16]柯洋,蔡茂强,廖科萍,等.皮肤病患者医院感染直接经济负担的病例对照研究[J].吉林医学,2020,41(8):2039-2042.
[17]李宝珍.医院感染预防与控制手册[M].北京:科学出版社,2008.
[28]赵娜,陈晓红,孙辉,等.三级综合医院院感评价数据关联规则分析及启示[J].中国卫生质量管理,2022,29(2):26-29.DOI:10.13912/j.cnki.chqm.2022.29.2.07.
[19]邵亚楠,邱杰,吴文华.老年性白内障患者住院费用影响因素的通径分析[J].中国卫生统计,2012,29(3):376-377.DOI:10.3969/j.issn.1002-3674.2012.03.021. |
[1] |
Liu Xiaoqing,Yan Yuzhong, Zhao Jiangxia. A survey on the status quo of residents′ cognition and acceptance of Internet hospitals in a district of Shanghai[J]. journal1, 2022, 29(3): 211-215. |
[2] |
Chen Yanyan, Chen Jieqiong, Wang Qinxu, Wang Xiaomei. Analysis of health education ability of obstetrical nurses and its influencing factors[J]. journal1, 2022, 29(3): 223-227. |
[3] |
Ren Jing, Guo Hang, Hou Xiaoli, Cui Qianqian, Wang Xinzhe, Kong Yang. Investigation of residents′ satisfaction with primary medical treatment in Shandong and analysis of influencing factors[J]. journal1, 2022, 29(3): 196-200. |
[4] |
Liu Haixia, Yan Haosen, Li Rui, Xu Zhaoyang, Xu Mingdan. Depression status and its influencing factors in urban and rural elderly in China[J]. journal1, 2022, 29(3): 201-206. |
[5] |
Jiang Tingting, Chen Yanyan, Pan Qiongqiong, Wang Xiaomei. Characteristics and influencing factors of symptom cluster of pregnant women in the third trimester[J]. journal1, 2022, 29(2): 87-92. |
[6] |
Tu Aixian,Zhu Hongrui. Analysis on hospitalization expenses and its influencing factors of breast cancer patients in a tertiary hospital in Hainan Province[J]. journal1, 2022, 29(2): 125-129. |
|
|
|
|