Teo Vivien, Toh Ming Ren, Kwan Yu Heng, Raaj Sreemanee, Tan Su-Yin Doreen, Tan Joyce Zhen Yin
Department of Pharmacy, Faculty of Science, National University of Singapore, Republic of Singapore.
Department of Pharmacy, Faculty of Science, National University of Singapore, Republic of Singapore; Centre of Quantitative Medicine, Office of Clinical Sciences, Duke-NUS Graduate Medical School, Republic of Singapore; Department of Pharmacy, Khoo Teck Puat Hospital, Republic of Singapore.
Saudi Pharm J. 2015 Sep;23(4):388-96. doi: 10.1016/j.jsps.2015.01.013. Epub 2015 Jan 10.
Increased length of stay (LOS) in the hospital incurs substantial financial costs on the healthcare system. Multiple factors are associated with LOS. However, few studies have been done to associate the impact of Total Daily Doses (TDD) and LOS. Hence, the aim of this study is to examine the association between patients' LOS upon readmission and their TDD before readmission. A retrospective cross-sectional study of readmission cases occurring from 1st January to 31st March 2013 was conducted at a regional hospital. Demographics and clinical variables were collected using electronic medical databases. Univariable and multiple linear regressions were used. Confounders such as comorbidities and drug related problems (DRP) were controlled for in this study. There were 432 patients and 649 readmissions examined. The average TDD and LOS were 18.04 ± 8.16 and 7.63 days ± 7.08 respectively. In the univariable analysis, variables that were significantly associated with the LOS included age above 75 year-old, race, comorbidity, number of comorbidities, number of medications, TDD and thrombocytopenia as DRPs. In the multiple linear regression, there was a statistically significant association between TDD (β = 0.0733, p = 0.030) and LOS. Variables that were found significant were age above 75 year-old (β = 1.5477, p = 0.008), Malay (β = -1.5123, p = 0.033), other races (β = -2.6174, p = 0.007), depression (β = 2.1551, p = 0.031) and thrombocytopenia as a type of DRP (β = 7.5548, p = 0.027). When TDD was replaced with number of medications, number of medications (β = 0.1487, p = 0.021), age of 75 year-old (β = 1.5303, p = 0.009), Malay (β = -1.4687, p = 0.038), race of others (β = -2.6499, p = 0.007), depression (β = 2.1951, p = 0.028) and thrombocytopenia as a type of DRP (β = 7.5260, p = 0.028) were significant. In conclusion, a significant relationship between TDD and number of medications before readmission and the LOS upon readmission was established. This finding highlights the importance of optimizing patients' TDD in the attempt of reducing their LOS.
住院时间延长会给医疗系统带来巨大的经济成本。住院时间与多种因素相关。然而,很少有研究探讨每日总剂量(TDD)与住院时间之间的关联。因此,本研究的目的是检验患者再次入院时的住院时间与再次入院前的TDD之间的关系。在一家地区医院对2013年1月1日至3月31日期间发生的再次入院病例进行了一项回顾性横断面研究。使用电子医疗数据库收集人口统计学和临床变量。采用单变量和多元线性回归分析。本研究对合并症和药物相关问题(DRP)等混杂因素进行了控制。共检查了432例患者和649次再次入院情况。平均TDD和住院时间分别为18.04±8.16和7.63天±7.08天。在单变量分析中,与住院时间显著相关的变量包括75岁以上的年龄、种族、合并症、合并症数量、用药数量、TDD以及作为DRP的血小板减少症。在多元线性回归中,TDD(β = 0.0733,p = 0.030)与住院时间之间存在统计学上的显著关联。发现显著的变量包括75岁以上的年龄(β = 1.5477,p = 0.008)、马来人(β = -1.5123,p = 0.033)、其他种族(β = -2.6174,p = 0.007)、抑郁症(β = 2.1551,p = 0.031)以及作为一种DRP的血小板减少症(β = 7.5548,p = 0.027)。当用用药数量替代TDD时,用药数量(β = 0.1487,p = 0.021)、75岁的年龄(β = 1.5303,p = 0.009)、马来人(β = -1.4687,p = 0.038)、其他种族(β = -2.6499,p = 0.007)、抑郁症(β = 2.1951,p = 0.028)以及作为一种DRP的血小板减少症(β = 7.5260,p = 0.028)是显著的。总之,再次入院前的TDD和用药数量与再次入院时的住院时间之间建立了显著关系。这一发现凸显了在试图缩短患者住院时间时优化患者TDD的重要性。