Hospital Factors Associated With Interhospital Transfer Destination for Stroke in the Northeast United States.
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2020-01
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Background We aimed to determine if there is an association between hospital quality and the likelihood of a given hospital being a preferred transfer destination for stroke patients. Methods and Results Data from Medicare claims identified acute ischemic stroke transferred between 394 northeast US hospitals from 2007 to 2011. Hospitals were categorized as transferring (n=136), retaining (n=241), or receiving (n=17) hospitals based on the proportion of acute ischemic stroke encounters transferred or received. We identified all 6409 potential dyads of sending and receiving hospitals, and categorized dyads as connected if ≥5 patients were transferred between the hospitals annually (n=82). We used logistic regression to identify hospital characteristics associated with establishing a connected dyad, exploring the effect of adjusting for different quality measures and outcomes. We also adjusted for driving distance between hospitals, receiving hospital stroke volume, and the number of hospitals in the receiving hospital referral region. The odds of establishing a transfer connection increased when rate of alteplase administration increased at the receiving hospital or decreased at the sending hospital, however this finding did not hold after applying a potential strategy to adjust for clustering. Receiving hospital performance on 90-day home time was not associated with likelihood of transfer connection. Conclusions Among northeast US hospitals, we found that differences in hospital quality, specifically higher levels of alteplase administration, may be associated with increased likelihood of being a transfer destination. Further research is needed to better understand acute ischemic stroke transfer patterns to optimize stroke transfer systems.
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Zachrison, Kori S, Jukka-Pekka Onnela, Mathew J Reeves, Adrian Hernandez, Carlos A Camargo, Xin Zhao, Roland A Matsouaka, Joshua N Goldstein, et al. (2020). Hospital Factors Associated With Interhospital Transfer Destination for Stroke in the Northeast United States. Journal of the American Heart Association, 9(1). p. e011575. 10.1161/jaha.118.011575 Retrieved from https://hdl.handle.net/10161/21405.
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Scholars@Duke
Adrian Felipe Hernandez
Roland Albert Matsouaka
Positions
- Associate Professor of Biostatistics & Bioinformatics
- Associate Chair for Culture, Engagement, and Impact
- Member of the Duke Clinical Research Institute
I am an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University and the Associate Chair for Culture, Engagement, and Impact in the Department of Biostatistics and Bioinformatics. I am also an Associate Director of Biostatistics and Data Science at the Duke Clinical Research Institute and member of the Consortium for the Holistic Assessment of Risk in Transplant (CHART).
The substantive areas of application of my research include biomedical,public health, and social sciences. As a DCRI faculty statistician, I collaborate with clinical researchers to better understand and treat cardiovascular diseases. I have been actively involved in the analyses of large registry data, including the Society of Thoracic Surgeons (STS) National Database, the STS and American College of Cardiology (ACC) Transcatheter Valve Therapy (TVTR) Registry, and the American Heart Association/American Stroke Association Get With The Guidelines (GTWG).
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.
