St. Luke's Medical Center, Quezon City, Philippines.
J Infect Public Health. 2013 Oct;6(5):389-99. doi: 10.1016/j.jiph.2013.03.002. Epub 2013 Jun 22.
To assess the impact of a multidimensional infection control approach on the reduction of catheter-associated urinary tract infection (CAUTI) rates in adult intensive care units (AICUs) in two hospitals in the Philippines that are members of the International Nosocomial Infection Control Consortium.
This was a before-after prospective active surveillance study to determine the rates of CAUTI in 3183 patients hospitalized in 4 ICUS over 14,426 bed-days. The study was divided into baseline and intervention periods. During baseline, surveillance was performed using the definitions of the US Centers for Disease Control and Prevention and the National Healthcare Safety Network (CDC/NHSN). During intervention, we implemented a multidimensional approach that included: (1) a bundle of infection control interventions, (2) education, (3) surveillance of CAUTI rates, (4) feedback on CAUTI rates, (5) process surveillance and (6) performance feedback. We used random effects Poisson regression to account for the clustering of CAUTI rates across time.
We recorded 8720 urinary catheter (UC)-days: 819 at baseline and 7901 during intervention. The rate of CAUTI was 11.0 per 1000 UC-days at baseline and was decreased by 76% to 2.66 per 1000 UC-days during intervention [rate ratio [RR], 0.24; 95% confidence interval [CI], 0.11-0.53; P-value, 0.0001].
Our multidimensional approach was associated with a significant reduction in the CAUTI rates in the ICU setting of a limited-resource country.
评估多维度感染控制方法对菲律宾两家国际医院感染控制联合会成员单位成人重症监护病房(AICU)中导尿管相关尿路感染(CAUTI)率降低的影响。
这是一项前瞻性主动监测研究,旨在确定在 4 个 ICU 中 3183 名住院患者在 14426 个床日中的 CAUTI 发生率。研究分为基线期和干预期。在基线期,使用美国疾病控制与预防中心和国家医疗保健安全网络(CDC/NHSN)的定义进行监测。在干预期间,我们实施了多维度方法,包括:(1)感染控制干预措施包,(2)教育,(3)CAUTI 率监测,(4)CAUTI 率反馈,(5)过程监测和(6)绩效反馈。我们使用随机效应泊松回归来解释 CAUTI 率在时间上的聚类。
我们记录了 8720 个导尿管(UC)日:基线期 819 个,干预期 7901 个。基线期 CAUTI 发生率为每 1000 UC 日 11.0 例,干预期间降低了 76%,至每 1000 UC 日 2.66 例[发生率比(RR),0.24;95%置信区间(CI),0.11-0.53;P 值,0.0001]。
我们的多维度方法与资源有限国家的 ICU 环境中 CAUTI 发生率的显著降低相关。