Within-Hospital Variation in 30-Day Adverse Events: Implications for Measuring Quality

被引:1
作者
Burke, Robert E. [1 ,2 ]
Glorioso, Thomas [3 ]
Baron, Anna K. [3 ,4 ]
Kaboli, Peter J. [5 ,6 ]
Ho, P. Michael [2 ,3 ]
机构
[1] Denver VA Med Ctr, Denver, CO 80220 USA
[2] Univ Colorado, Med, Boulder, CO 80309 USA
[3] Denver VA Med Ctr, Ctr Vet Ctr & Value Driven Care, Denver, CO USA
[4] Univ Colorado, Sch Publ Hlth, Biostat & Informat, Boulder, CO 80309 USA
[5] Univ Iowa, Carver Coll Med, Med, Iowa City, IA 52242 USA
[6] Iowa City VA Med Ctr, Med, Iowa City, IA USA
关键词
quality of care; hospital readmission; PERCUTANEOUS CORONARY INTERVENTION; ACUTE MYOCARDIAL-INFARCTION; AFFAIRS CLINICAL-ASSESSMENT; READMISSION RATES; TRACKING SYSTEM; CART PROGRAM; MORTALITY; MODELS; IMPROVE;
D O I
10.1097/JHQ.0000000000000086
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Novel measures of hospital quality are needed. Because quality improvement efforts seek to reduce variability in processes and outcomes, hospitals with higher variability in adverse events may be delivering poorer quality care. We sought to evaluate whether within-hospital variability in adverse events after a procedure might function as a quality metric that is correlated with facility-level mortality rates. We analyzed all percutaneous coronary interventions (PC's) performed in the Veterans Health Administration NHA) system from 2007 to 2013 to evaluate the correlation between within-hospital variability in 30-day postdischarge adverse events (readmission, emergency department visit, and repeat revascularization), and facility-level mortality rates, after adjustment for patient demographics, comorbidities, PCI indication, and PCI urgency. The study cohort included 47,567 patients at 48 VHA hospitals. The overall 30-day adverse event rate was 22.0% and 1-year mortality rate was 4.9%. The most variable sites had relative changes of 20% in 30-day rates of adverse events period-to-period. However, within-hospital variability in 30-day events was not correlated with 1-year mortality rates (correlation coefficient = .06; p = .66). Thus, measuring within-hospital variability in postdischarge adverse events may not improve identification of low-performing hospitals. Evaluation in other conditions, populations. and in relationship with other quality metrics may reveal stronger correlations with care quality.
引用
收藏
页码:147 / 154
页数:8
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