Abir Mahshid, Goldstick Jason, Malsberger Rosalie, Setodji Claude M, Dev Sharmistha, Wenger Neil
Department of Emergency Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Innovation, Ann Arbor, Michigan, USA.
J Hosp Med. 2018 Oct 1;13(10):698-701. doi: 10.12788/jhm.2976. Epub 2018 Jun 27.
Few studies have evaluated the relationship between high hospital occupancy and hospital-acquired complications. We evaluated the association between inpatient occupancy and hospital-acquired Clostridium difficile infection (CDI) using a novel measure of hospital occupancy. We analyzed administrative data from California hospitals from 2008-2012 for Medicare recipients aged 65 years with a discharge diagnosis of acute myocardial infarction, heart failure, or pneumonia. Using daily census data, we constructed patient-level measures of occupancy on admission day and average occupancy during hospitalization (range: 0-1), which were split into 4 groups. We used logistic regression with cluster standard errors to estimate the adjusted and unadjusted relationship of occupancy with hospital-acquired CDI. Across 327 hospitals, 558,344 discharges met our inclusion criteria. Higher admission day occupancy was associated with significantly lower adjusted likelihood of CDI. Compared to the 0-0.25 occupancy group, patients admitted on a day of 0.51-0.75 occupancy had 0.86 odds of CDI (95% CI 0.75-0.98). The 0.76-1.00 admission occupancy group had 0.87 odds of CDI (95% CI 0.75-1.01). With regard to average occupancy, intermediate levels of occupancy 0.26-0.50 (odds ratio [OR] = 3.04, 95% CI 2.33-3.96) and 0.51-0.75 (OR = 3.28, 95% CI 2.51-4.28) had over 3-fold increased adjusted odds of CDI relative to the low occupancy group; the high occupancy group did not have signifcantly different odds of CDI compared to the low occupancy group (OR = 0.96, 95% CI 0.70-1.31). These findings should prompt exploration of how hospitals react to occupancy changes and how those care processes translate into hospital-acquired complications in order to inform best practices.
很少有研究评估过高的医院床位占用率与医院获得性并发症之间的关系。我们使用一种新的医院床位占用率衡量方法,评估住院床位占用率与医院获得性艰难梭菌感染(CDI)之间的关联。我们分析了2008年至2012年加利福尼亚州医院针对65岁医疗保险受益人的行政数据,这些受益人出院诊断为急性心肌梗死、心力衰竭或肺炎。利用每日普查数据,我们构建了入院当天的患者层面床位占用率指标以及住院期间的平均床位占用率指标(范围:0至1),并将其分为4组。我们使用带有聚类标准误的逻辑回归来估计床位占用率与医院获得性CDI的调整后和未调整的关系。在327家医院中,558,344例出院病例符合我们的纳入标准。入院当天较高的床位占用率与CDI调整后显著较低的可能性相关。与0至0.25床位占用率组相比,在床位占用率为0.51至0.75当天入院的患者发生CDI的几率为0.86(95%置信区间0.75至0.98)。0.76至1.00入院床位占用率组发生CDI的几率为0.87(95%置信区间0.75至1.01)。关于平均床位占用率,中等水平的床位占用率0.26至0.50(比值比[OR]=3.04,95%置信区间2.33至3.96)和0.51至0.75(OR=3.28,95%置信区间2.51至4.28)相对于低床位占用率组,调整后的CDI几率增加了3倍以上;高床位占用率组与低床位占用率组相比,CDI几率没有显著差异(OR=0.96,95%置信区间0.70至1.31)。这些发现应促使人们探索医院如何应对床位占用率变化以及这些护理过程如何转化为医院获得性并发症,以便为最佳实践提供信息。