Zacharioudakis Ioannis M, Zervou Fainareti N, Shehadeh Fadi, Mylona Evangelia K, Mylonakis Eleftherios
Infectious Diseases Division, Warren Alpert Medical School of Brown University, Providence, RI, USA.
Division of Infectious Diseases and Immunology, Department of Medicine, NYU School of Medicine, New York, NY, USA.
EClinicalMedicine. 2019 Feb 19;8:12-19. doi: 10.1016/j.eclinm.2019.02.001. eCollection 2019 Feb.
() ranks first among the pathogens of hospital-acquired infections with hospital-based preventive strategies being only partially successful in containing its spread.
We performed a spatial statistical analysis to examine the association between population characteristics and parameters of community healthcare practice and delivery with hospital-onset () infection (HO-CDI), using data from the Medicare Hospital Compare, Medicare Provider Utilization Part D, and other databases. Among the areas with the highest HO-CDI rates ("hot spots"), we conducted a geographically weighted regression (GWR) to quantify the effect of the decrease in the modifiable risk factors on the HO-CDI rate.
Percentage of population > 85 years old, community claims of antimicrobial agents and acid suppressants, and density of hospitals and nursing homes within the hospital service areas (HSAs) had a statistically significant association with the HO-CDI incidence (p < 0.001). The model including the community claims of antimicrobial agents and number of hospital centers per HSA km was associated with 10% (R = 0.10, p < 0.001) of the observed variation in HO-CDI rate. The hot spots were organized into 5 Combined Statistical areas that crossed state borders. The association of the antimicrobial claims and HO-CDI rate was as high as 71% in the Boston-Worcester-Providence area (R = 0.71, SD 0.19), with a 10% decrease in the rate of antimicrobial claims having the potential to lead to up to 23.1% decrease in the HO-CDI incidence in this area.
These results outline the association of HO-CDI with community practice and characteristics of the healthcare delivery system and support the need to further study the effect of community and nursing home-based antimicrobial and acid suppressant stewardship programs in the rate of HO-CDI in geographic areas that may cross state lines.
(某种病原体)在医院获得性感染的病原体中排名第一,基于医院的预防策略在控制其传播方面仅取得部分成功。
我们进行了空间统计分析,以研究人口特征与社区医疗实践及服务参数与医院获得性(某种病原体)感染(HO-CDI)之间的关联,使用了医疗保险医院比较、医疗保险提供者利用D部分以及其他数据库的数据。在HO-CDI发生率最高的地区(“热点地区”),我们进行了地理加权回归(GWR),以量化可改变风险因素的减少对HO-CDI发生率的影响。
85岁以上人口百分比、抗菌药物和抑酸剂的社区索赔以及医院服务区(HSAs)内医院和疗养院的密度与HO-CDI发病率存在统计学显著关联(p<0.001)。包括抗菌药物社区索赔和每个HSA平方公里医院中心数量的模型与观察到的HO-CDI发生率变化的10%相关(R=0.10,p<0.001)。热点地区被划分为5个跨越州界的综合统计区域。在波士顿-伍斯特-普罗维登斯地区,抗菌药物索赔与HO-CDI发生率的关联高达71%(R=0.71,标准差0.19),抗菌药物索赔率降低10%有可能使该地区的HO-CDI发病率降低多达23.1%。
这些结果概述了HO-CDI与社区实践及医疗服务提供系统特征之间的关联,并支持进一步研究基于社区和疗养院的抗菌药物和抑酸剂管理计划对可能跨越州界的地理区域中HO-CDI发生率的影响。