Epidemiol Health.  2018;40:e2018004. 10.4178/epih.e2018004.

Registry-based stroke research in Taiwan: past and future

Affiliations
  • 1Department of Neurology, Tainan Sin Lau Hospital, Tainan, Taiwan.
  • 2School of Pharmacy, Institute of Clinical Pharmacy and Pharmaceutical Sciences, National Cheng Kung University College of Medicine, Tainan, Taiwan.
  • 3Division of Neurology, Department of Internal Medicine, Ditmanson Medical Foundation Chiayi Christian Hospital, Chiayi City, Taiwan. richard.sfsung@gmail.com
  • 4Department of Nursing, Min-Hwei Junior College of Health Care Management, Tainan, Taiwan.

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.

Keyword

Database; Electronic health records; Medical record linkage; Registries; Research; Stroke

MeSH Terms

Cooperative Behavior
Diagnosis
Electronic Health Records
Humans
Medical Record Linkage
Mortality
Quality Improvement
Recurrence
Registries
Risk Factors
Stroke*
Taiwan*
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