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Within-Hospital Variation in 30-Day Adverse Events

Overview of attention for article published in Journal for Healthcare Quality: Promoting Excellence in Healthcare, May 2018
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Article details
Title
Within-Hospital Variation in 30-Day Adverse Events
Published in
Journal for Healthcare Quality: Promoting Excellence in Healthcare, May 2018
DOI 10.1097/jhq.0000000000000086
Pubmed ID
Authors
Abstract

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 (PCIs) performed in the Veterans Health Administration (VHA) 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.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 3 23%
Student > Doctoral Student 2 15%
Other 1 8%
Student > Bachelor 1 8%
Professor 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 5 38%
Nursing and Health Professions 2 15%
Social Sciences 1 8%
Neuroscience 1 8%
Unknown 4 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2017.
All research outputs
#22,220,657
of 34,372,222 outputs
Outputs from Journal for Healthcare Quality: Promoting Excellence in Healthcare
#323
of 615 outputs
Outputs of similar age
#222,253
of 370,670 outputs
Outputs of similar age from Journal for Healthcare Quality: Promoting Excellence in Healthcare
#2
of 4 outputs
Altmetric has tracked 34,372,222 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 615 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 370,670 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.