Time and Economic Burden of Comorbidities among COPD Inpatients
文献类型:会议论文
作者 | Jiaqi Liu![]() ![]() ![]() ![]() |
出版日期 | 2015 |
会议名称 | International Conference, ICSH 2015 |
会议日期 | November 17-18, 2015 |
会议地点 | Phoenix, AZ, USA |
关键词 | COPD Comorbidity Time burden Economic burden Inpatient CCI Population study |
通讯作者 | Zhidong Cao |
英文摘要 |
Chronic obstructive pulmonary disease (COPD) is a major public health problem and usually associated with various comorbidities. Base on electronic health records of inpatients, aged 40 to 80 years old, from 169 hospitals located across China between 2013 and 2014, this paper summarized 27 comorbidities of COPD and compared the time and economic burdens of COPD patients to non-COPD patients. The 17 comorbidities included in Charlson Comorbidity Index (CCI) and 10 additional comorbidities were employed while odds ratios were considered to compare differences. The results disclosed that COPD patients had higher comorbidity burdens than non-COPD patients did. Moreover, COPD patients had 6.40 % more hospital stay and 12.96 % lower medical cost. Seven morbidities had positive correlations with hospital stay and medical cost, which indicated that COPD patients should be paid more attention to those comprehensive comorbidities when making therapeutic plans. |
收录类别 | EI |
会议录 | Volume 9545 of the series Lecture Notes in Computer Science
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源URL | [http://ir.ia.ac.cn/handle/173211/11187] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_互联网大数据与安全信息学研究中心 |
作者单位 | 1.1.The State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China 2.College of Business, University of Colorado, Colorado Springs, CO, USA. 3.Institute of Disease Control and Prevention, Academy of Military Medical Sciences, Beijing, China. 4.Cloud Computing Center, Chinese Academy of Sciences, Dongguan, China. |
推荐引用方式 GB/T 7714 | Jiaqi Liu,James Ma,Jiaojiao Wang,et al. Time and Economic Burden of Comorbidities among COPD Inpatients[C]. 见:International Conference, ICSH 2015. Phoenix, AZ, USA. November 17-18, 2015. |
入库方式: OAI收割
来源:自动化研究所
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