...
首页> 外文期刊>Eurosurveillance >Risk-adjusted antibiotic consumption in 34 public acute hospitals in Ireland, 2006 to 2014
【24h】

Risk-adjusted antibiotic consumption in 34 public acute hospitals in Ireland, 2006 to 2014

机译:34名公共急性医院的风险调整后抗生素消费,2006年至2014年

获取原文
   

获取外文期刊封面封底 >>

       

摘要

As antibiotic consumption rates between hospitals can vary depending on the characteristics of the patients treated, risk-adjustment that compensates for the patient-based variation is required to assess the impact of any stewardship measures. The aim of this study was to investigate the usefulness of patient-based administrative data variables for adjusting aggregate hospital antibiotic consumption rates. Data on total inpatient antibiotics and six broad subclasses were sourced from 34 acute hospitals from 2006 to 2014. Aggregate annual patient administration data were divided into explanatory variables, including major diagnostic categories, for each hospital. Multivariable regression models were used to identify factors affecting antibiotic consumption. Coefficient of variation of the root mean squared errors (CV-RMSE) for the total antibiotic usage model was very good (11%), however, the value for two of the models was poor (?30%). The overall inpatient antibiotic consumption increased from 82.5 defined daily doses (DDD)/100 bed-days used in 2006 to 89.2 DDD/100 bed-days used in 2014; the increase was not significant after risk-adjustment. During the same period, consumption of carbapenems increased significantly, while usage of fluoroquinolones decreased. In conclusion, patient-based administrative data variables are useful for adjusting hospital antibiotic consumption rates, although additional variables should also be employed.
机译:由于医院之间的抗生素消费率可能因治疗患者的特征而变化,需要补偿基于患者的变异的风险调整来评估任何管理措施的影响。本研究的目的是探讨患者的行政数据变量用于调整患者的总医院抗生素消费率的有用性。来自2006年至2014年的34个急性医院的全部内关节性抗生素和六个广泛亚类的数据。总年患者管理数据分为解释性变量,包括每个医院的主要诊断类别。多变量回归模型用于识别影响抗生素消耗的因素。对于总抗生素使用模型的根均方误差(CV-RMSE)的变异系数非常好(11%),然而,两种模型的值差(> 30%)。整体住院性抗生素消耗量从2006年使用的82.5次定义的每日剂量(DDD)/ 100床天数增加到2014年使用的89.2 DDD / 100床天;风险调整后增加并不重要。在同一时期,肉豆蔻蛋白的消耗显着增加,而氟代喹啉的用途减少。总之,基于患者的行政数据变量对于调整医院抗生素消费率有用,尽管也应采用额外的变量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号