Hospital distance, socioeconomic status, and timely treatment of ischemic stroke.

Abstract

OBJECTIVE:To determine whether lower socioeconomic status (SES) and longer home to hospital driving time are associated with reductions in tissue plasminogen activator (tPA) administration and timeliness of the treatment. METHODS:We conducted a retrospective observational study using data from the Get With The Guidelines-Stroke Registry (GWTG-Stroke) between January 2015 and March 2017. The study included 118,683 ischemic stroke patients age ≥18 who were transported by emergency medical services to one of 1,489 US hospitals. We defined each patient's SES based on zip code median household income. We calculated the driving time between each patient's home zip code and the hospital where he or she was treated using the Google Maps Directions Application Programing Interface. The primary outcomes were tPA administration and onset-to-arrival time (OTA). Outcomes were analyzed using hierarchical multivariable logistic regression models. RESULTS:SES was not associated with OTA (p = 0.31) or tPA administration (p = 0.47), but was associated with the secondary outcomes of onset-to-treatment time (OTT) (p = 0.0160) and in-hospital mortality (p = 0.0037), with higher SES associated with shorter OTT and lower in-hospital mortality. Driving time was associated with tPA administration (p < 0.001) and OTA (p < 0.0001), with lower odds of tPA (0.83, 0.79-0.88) and longer OTA (1.30, 1.24-1.35) in patients with the longest vs shortest driving time quartiles. Lower SES quintiles were associated with slightly longer driving time quartiles (p = 0.0029), but there was no interaction between the SES and driving time for either OTA (p = 0.1145) or tPA (p = 0.6103). CONCLUSIONS:Longer driving times were associated with lower odds of tPA administration and longer OTA; however, SES did not modify these associations.

Department

Description

Provenance

Subjects

Humans, Tissue Plasminogen Activator, Social Class, Adolescent, Adult, Aged, Aged, 80 and over, Middle Aged, Hospitals, United States, Female, Male, Stroke, Young Adult, Time-to-Treatment, Geography, Medical

Citation

Published Version (Please cite this version)

10.1212/wnl.0000000000007963

Publication Info

Ader, Jeremy, Jingjing Wu, Gregg C Fonarow, Eric E Smith, Shreyansh Shah, Ying Xian, Deepak L Bhatt, Lee H Schwamm, et al. (2019). Hospital distance, socioeconomic status, and timely treatment of ischemic stroke. Neurology, 93(8). pp. e747–e757. 10.1212/wnl.0000000000007963 Retrieved from https://hdl.handle.net/10161/21623.

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Endorsement

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Scholars@Duke

Shah

Shreyansh Shah

Associate Professor of Neurology

Ying Xian

Adjunct Professor in the Department of Neurology
Matsouaka

Roland Albert Matsouaka

Associate Professor of Biostatistics & Bioinformatics

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).


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