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Cheng-Yang Hsieh 1 Article
Registry-based stroke research in Taiwan: past and future
Cheng-Yang Hsieh, Darren Philbert Wu, Sheng-Feng Sung
Epidemiol Health. 2018;40:e2018004.   Published online February 4, 2018
DOI: https://doi.org/10.4178/epih.e2018004
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  • 12 Citations
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Abstract
Stroke registries are observational databases focusing on the clinical information and outcomes of stroke patients. They play an important role in the cycle of quality improvement. Registry data are collected from real-world experiences of stroke care and are suitable for measuring quality of care. By exposing inadequacies in performance measures of stroke care, research from stroke registries has changed how we manage stroke patients in Taiwan. With the success of various quality improvement campaigns, mortality from stroke and recurrence of stroke have decreased in the past decade. After the implementation of a nationwide stroke registry, researchers have been creatively expanding how they use and collect registry data for research. Through the use of the nationwide stroke registry as a common data model, researchers from many hospitals have built their own stroke registries with extended data elements to meet the needs of research. In collaboration with information technology professionals, stroke registry systems have changed from web-based, manual submission systems to automated fill-in systems in some hospitals. Furthermore, record linkage between stroke registries and administrative claims databases or other existing databases has widened the utility of registry data in research. Using stroke registry data as the reference standard, researchers have validated several algorithms for ascertaining the diagnosis of stroke and its risk factors from claims data, and have also developed a claims-based index to estimate stroke severity. By making better use of registry data, we believe that we will provide better care to patients with stroke.
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    Frontiers in Neurology.2022;[Epub]     CrossRef
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    Khic-Houy Prang, Bill Karanatsios, Ebony Verbunt, Hui-Li Wong, Justin Yeung, Margaret Kelaher, Peter Gibbs
    Contemporary Clinical Trials.2022; 119: 106843.     CrossRef
  • Hypoperfusion Index Ratio as a Surrogate of Collateral Scoring on CT Angiogram in Large Vessel Stroke
    Chun-Min Wang, Yu-Ming Chang, Pi-Shan Sung, Chih-Hung Chen
    Journal of Clinical Medicine.2021; 10(6): 1296.     CrossRef
  • The Riga East University Hospital Stroke Registry—An Analysis of 4915 Consecutive Patients with Acute Stroke
    Guntis Karelis, Madara Micule, Evija Klavina, Iveta Haritoncenko, Ilga Kikule, Biruta Tilgale, Inese Polaka
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    Stroke.2020; 51(4): 1248.     CrossRef
  • Two Decades of Research Using Taiwan’s National Health Insurance Claims Data: Bibliometric and Text Mining Analysis on PubMed
    Sheng-Feng Sung, Cheng-Yang Hsieh, Ya-Han Hu
    Journal of Medical Internet Research.2020; 22(6): e18457.     CrossRef
  • Home-Time as a Surrogate Measure for Functional Outcome After Stroke: A Validation Study


    Sheng-Feng Sung, Chien-Chou Su, Cheng-Yang Hsieh, Ching-Lan Cheng, Chih-Hung Chen, Huey-Juan Lin, Yu-Wei Chen, Yea-Huei Kao Yang
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  • THE ROLE OF THE HOSPITAL REGISTRY TO ASSESS THE QUALITY OF STROKE DIAGNOSIS
    S.P. Moskovko, D.O. Fiks, A.V. Shayuk, G.V. Datsenko, L.V. Babych
    World of Medicine and Biology.2020; 16(74): 103.     CrossRef
  • Apolipoprotein B Level and the Apolipoprotein B/Apolipoprotein A-I Ratio as a Harbinger of Ischemic Stroke: A Prospective Observation in Taiwan
    Yu-Ching Chou, Po-Chi Chan, Tsan Yang, San-Lin You, Chyi-Huey Bai, Chien-An Sun
    Cerebrovascular Diseases.2020; 49(5): 487.     CrossRef
  • Promising Use of Big Data to Increase the Efficiency and Comprehensiveness of Stroke Outcomes Research
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