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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 3 of 3 Research Studies DisplayedShah S, Xian Y, Sheng S
Use, temporal trends, and outcomes of endovascular therapy after interhospital transfer in the United States.
This study examined the use, trends and outcomes of endovascular therapy (EVT) after interhospital transfer in the United Sates. This cohort study analyzed trends from over 1.8 million patients with ischemic stroke admitted to 2143 Get With The Guidelines-Stroke participating hospitals between 2012 and 2017. There were differences in mortality for interhospital transfer patients, although those differences disappeared after adjusting for delay in EVT initiation.
AHRQ-funded; HS024561.
Citation: Shah S, Xian Y, Sheng S .
Use, temporal trends, and outcomes of endovascular therapy after interhospital transfer in the United States.
Circulation 2019 Mar 26;139(13):1568-77. doi: 10.1161/circulationaha.118.036509..
Keywords: Stroke, Cardiovascular Conditions, Transitions of Care, Outcomes, Healthcare Delivery, Hospitals, Mortality, Quality of Care
Karp DN, Wolff CS, Wiebe DJ
Reassessing the stroke belt: using small area spatial statistics to identify clusters of high stroke mortality in the United States.
The researchers identified clusters of high stroke mortality and adjacent areas of low stroke mortality for US counties and evaluated for regional differences in county-level risk factors. They found that clusters of high stroke mortality exist beyond the 8-state stroke belt, and variation exists within the stroke belt. They recommended reconsideration of the stroke belt definition and suggested increased attention to local determinants of health underlying small area regional variability to inform targeted healthcare interventions.
AHRQ-funded; HS018362.
Citation: Karp DN, Wolff CS, Wiebe DJ .
Reassessing the stroke belt: using small area spatial statistics to identify clusters of high stroke mortality in the United States.
Stroke 2016 Jul;47(7):1939-42. doi: 10.1161/strokeaha.116.012997.
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Keywords: Mortality, Risk, Stroke, Social Determinants of Health
Bates BE, Xie D, Kwong PL
One-year all-cause mortality after stroke: a prediction model.
Using data from Department of Veterans Affairs (VA) national databases, the researchers present and internally validate a 1-year all-cause mortality prediction index after hospitalization for acute stroke. They conclude that a simple index using readily available data that stratifies stroke patients at the time of discharge according to low, moderate, high, and highest likelihood of all-cause 1-year mortality is feasible.
AHRQ-funded; HS018540.
Citation: Bates BE, Xie D, Kwong PL .
One-year all-cause mortality after stroke: a prediction model.
PM R 2014 Jun;6(6):473-83. doi: 10.1016/j.pmrj.2013.11.006..
Keywords: Stroke, Mortality, Hospitalization