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

机译:2006年至2014年,爱尔兰34家公立急症医院经风险调整后的抗生素消费量

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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耗率可能根据所治疗患者的特征而变化,因此需要风险补偿来补偿基于患者的差异,以评估任何管理措施的影响。这项研究的目的是调查以患者为基础的行政数据变量对调整医院抗生素消耗总量的有用性。 2006年至2014年间,来自34所急症医院的总住院患者抗生素和6种主要亚类的数据。每家医院的年度患者管理总数据分为解释变量,包括主要诊断类别。多变量回归模型用于确定影响抗生素消费的因素。整个抗生素使用模型的均方根误差(CV-RMSE)变异系数非常好(11%),但是其中两个模型的数值差(>(30%)。住院患者的抗生素总消费量从2006年的82.5 DDD / 100床日增加到2014年的89.2 DDD / 100床日。风险调整后,增加幅度不大。在同一时期,碳青霉烯的消耗量显着增加,而氟喹诺酮类的使用量减少。总之,尽管还应采用其他变量,但基于患者的管理数据变量可用于调整医院抗生素的消耗率。

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