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Review
. 2016 Nov 15;56(11):655-663.
doi: 10.2176/nmc.ra.2016-0174. Epub 2016 Sep 27.

Status and Future Perspectives of Utilizing Big Data in Neurosurgical and Stroke Research

Affiliations
Review

Status and Future Perspectives of Utilizing Big Data in Neurosurgical and Stroke Research

Ataru Nishimura et al. Neurol Med Chir (Tokyo). .

Abstract

The management, analysis, and integration of Big Data have received increasing attention in healthcare research as well as in medical bioinformatics. The J-ASPECT study is the first nationwide survey in Japan on the real-world setting of stroke care using data obtained from the diagnosis procedure combination-based payment system. The J-ASPECT study demonstrated a significant association between comprehensive stroke care (CSC) capacity and the hospital volume of stroke interventions in Japan; further, it showed that CSC capabilities were associated with reduced in-hospital mortality rates. Our study aims to create new evidence and insight from 'real world' neurosurgical practice and stroke care in Japan using Big Data. The final aim of this study is to develop effective methods to bridge the evidence-practice gap in acute stroke healthcare. In this study, the authors describe the status and future perspectives of the development of a new method of stroke registry as a powerful tool for acute stroke care research.

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Figures

Fig. 1
Fig. 1
Associations between primary and comprehensive stroke care capabilities and case volume of stroke treatment in 2009 in Japan. The inclusion of total comprehensive stroke care (CSC) score, availability of a tissue-type plasminogen activator (t-PA) protocol, and other hospital characteristics in the model revealed that the total CSC score, but not the availability of a t-PA protocol, was significantly associated with the hospital volume of stroke interventions. Q, quintile. Reproduced from Iihara et al. with permission from the publisher. Copyright © 2014 National Stroke Association.
Fig. 2
Fig. 2
Associations between total comprehensive stroke care scores separated into quintiles (Q) and in-hospital mortality of patients after all types of stroke. Odds ratios (ORs) and 95% confidence intervals (CIs) of in-hospital mortality for each quintile are depicted compared with that of Q1 as the control (Q1, 4–12 points; Q2, 13–14 points; Q3, 15–17 points; Q4, 18 points; Q5, 19–23 points). Reproduced from Iihara et al. with permission.

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