Development of a real-world database for asthma and COPD: The SingHealth-Duke-NUS-GSK COPD and Asthma Real-World Evidence (SDG-CARE) collaboration.
Abstract
<h4>Purpose</h4>The SingHealth-Duke-GlaxoSmithKline COPD and Asthma Real-world Evidence
(SDG-CARE) collaboration was formed to accelerate the use of Singaporean real-world
evidence in research and clinical care. A centerpiece of the collaboration was to
develop a near real-time database from clinical and operational data sources to inform
healthcare decision making and research studies on asthma and chronic obstructive
pulmonary disease (COPD).<h4>Methods</h4>Our multidisciplinary team, including clinicians,
epidemiologists, data scientists, medical informaticians and IT engineers, adopted
the hybrid waterfall-agile project management methodology to develop the SingHealth
COPD and Asthma Data Mart (SCDM). The SCDM was developed within the organizational
data warehouse. It pulls and maps data from various information systems using extract,
transform and load (ETL) pipelines. Robust user testing and data verification was
also performed to ensure that the business requirements were met and that the ETL
pipelines were valid.<h4>Results</h4>The SCDM includes 199 data elements relevant
to asthma and COPD. Data verification was performed and found the SCDM to be reliable.
As of December 31, 2019, the SCDM contained 36,407 unique patients with asthma and
COPD across the spectrum from primary to tertiary care in our healthcare system. The
database updates weekly to add new data of existing patients and to include new patients
who fulfil the inclusion criteria.<h4>Conclusions</h4>The SCDM was systematically
developed and tested to support the use RWD for clinical and health services research
in asthma and COPD. This can serve as a platform to provide research and operational
insights to improve the care delivered to our patients.
Type
Journal articleSubject
HumansAsthma
Pulmonary Disease, Chronic Obstructive
Behavior Therapy
Databases, Factual
Sustainable Development
Permalink
https://hdl.handle.net/10161/26511Published Version (Please cite this version)
10.1186/s12911-022-02071-6Publication Info
Lam, Sean Shao Wei; Fang, Andrew Hao Sen; Koh, Mariko Siyue; Shantakumar, Sumitra;
Yeo, See-Hwee; Matchar, David Bruce; ... Loo, Chian Min (2023). Development of a real-world database for asthma and COPD: The SingHealth-Duke-NUS-GSK
COPD and Asthma Real-World Evidence (SDG-CARE) collaboration. BMC medical informatics and decision making, 23(1). pp. 4. 10.1186/s12911-022-02071-6. Retrieved from https://hdl.handle.net/10161/26511.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
David Bruce Matchar
Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical
policies to their implementation in real world clinical settings. Most recently my
major content focus has been cerebrovascular disease. Other major clinical areas in
which I work include the range of disabling neurological conditions, cardiovascular
disease, and cancer prevention. Notable features of my work are: (1) reliance on
analytic strategies such as meta-analysis, simulation, decision analy

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