|
|
Analysis of the distribution characteristics of 1 344 patients with overlength hospitalization in a hospital |
Wu Hongpeng, Zhang Zongwang |
Information Centre, Liaocheng People′s Hospital, Liaocheng 252000, China |
|
|
Abstract Objective To provide data support for the hospital management department to reduce inefficient or ineffective hospitalization days, we analyzed the situation of patients with overlength hospitalization.Methods A retrospective survey and descriptive statistical analysis were carried out on the patients with overlength hospitalization in a hospital in 2017.Results The patients with overlength hospitalization accounted for 1.03% of the discharge number in the same period, and the average hospitalization day was 60.5 days. The excess length of hospitalization days was mainly distributed in the 42~50 day group. This city was the main source of ultra long hospital days, accounting for 95.54%. The way of leaving hospital was mainly from medical advice, accounting for 83.78%. The sex ratio of men and women patients with overlength hospitalization was 1.87:1, and the average age was 53 years old, mainly in two age groups over 60 years old and 45~59 years old. The per capita cost of 1344 cases of overlong hospitalization was ?100226, and the payment method was mainly medical insurance. The number of patients were mainly from Department of radiotherapy, Department of neurosurgery and Department of orthopedics. The first five diseases in super long hospitalization days in the descending order were injury and poisoning, affecting health status and factors related to health care institutions, tumor, circulatory system diseases, and perinatal diseases.Conclusion The supervision of key departments and key diseases is strengthened, and patients with hospitalization days over 30 days should be regularly reported. We should establish the two level early warning mechanism of the hospital, pay attention to the age and disease spectrum, accelerate the construction of medical union, dredge the referral channels, and shorten the average hospitalization days.
|
Received: 26 March 2018
|
|
|
|
|
[1] 史力群,金星,鞠杰.某院711例住院时间超30天患者原因分析[J].现代医院,2014,14(14):83-84. [2] 廖珊,刘冬生. 820例住院时间超长病人调查分析[J].中国卫生统计,2003,20(5):301-302. [3] 冯丹,刘建超.超长住院日影响因素的logistic回归分析[J].中国医院管理,2009,29(4):40-42. [4] 聂静.对某三甲综合医院住院天数的分析与管理[D].乌鲁木齐:新疆医科大学,2015,10. [5] 郭怡,陈莉雅,田柯,等.某三甲医院超长住院日统计分析[J].现代医院,2013,13(7):121-123. [6] 刘延微.2236例超长住院日患者住院时间的影响因素分析[J].中国肿瘤,2016,25(12):1022-1024. [7] 廖珊,魏丽娜,刘冬生,等.2004年我院住院时间超长病人统计分析[J].中国医院统计,2005,12(2):150-151. [8] 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. [9] 王瓴,钱邦富.某三甲综合医院1293例超长住院日患者分布特征及影响因素分析[J].现代预防医学,2018,45(2):291-294. [10]陈倩,刘丰,林玲.某院2005年超长住院日病人情况分析[J].中国医院统计,2006,13(4):368-369. [11]徐锡武,窦婧婧,宋景晨,等.381例超长住院日患者的分布特征与影响因素研究[J].中国病案,2016,17(6):38-41. [12]傅碧绿,廖珊,邓湛.247 例超60天住院日病例统计分析[J].现代经济信息,2017,8(11):60-61. [13]张阳,赵俊,曹洋, 等.住院时间超30天患者的分布特征及影响因素研究[J].江苏卫生事业管理,2017,28(5):44-47. [14]陈琳,郭嘉奇,王津雨.血液系统疾病超长住院日影响因素分析与对策[J].现代医院管理,2017,15(2):42-47. [15]王淼,贺涛,霍霄鲲.大型综合性医院超长住院患者对平均住院日的影响分析[J].解放军医院管理杂志,2013,20(7):617-618. [16]戚苗苗,陈海云,刘玉秀,等.医疗保险患者超长住院病例统计分析[J].东南国防医药,2017,19(5):318-320. |
[1] |
Guan Yun, Bao Zhiqing, Liu Haiyun. Analysis of average length of stay based on DRGs grouping tool[J]. journal1, 2019, 26(1): 34-36. |
[2] |
Cao Bingyan, Liu Gang. Evaluation and analysis of implementation effect of clinical pathway in a hospital of Tai′an in 2017[J]. journal1, 2018, 25(5): 370-372. |
[3] |
Sun Zhaozhong, Zhu Kai, Li Rui, Zheng Zhenyang, Liu Xin. Study of six sigma management in reducing the average length of stay of patients with lumbar disc herniation[J]. journal1, 2018, 25(1): 5-9. |
[4] |
. [J]. journal1, 2016, 23(5): 372-373. |
[5] |
Zhang Xiuying, Chen Xiangzhen , Li Hongjuan , Guan Xin. Average length of stay and its influencing factors of surgical patients in a tertiary hospital in recent 10 years[J]. journal1, 2016, 23(4): 263-265. |
[6] |
. [J]. journal1, 2016, 23(3): 223-224. |
|
|
|
|