4/24/2023 0 Comments Risk engine singaporeEach cluster provides the full suite of healthcare service from primary care to general hospitals and community hospitals. The public healthcare system in Singapore is grouped into three major clusters including Singapore Health Services (abbreviated as SingHealth), National Healthcare Group (NHG), and National University Health System (NUHS). It is updated annually, with patient data from electronic medical records (EMR) across the primary and hospital-based care continuum within SingHealth. Briefly, the SDR was established in 2015, and has been populated with data retrospectively and prospectively to cover the period 2013 to 2019. The multi-institutional SDR was described in detail previously. We also sought to evaluate the variation in the trends of risk-factor control across the socio-demographic groups in Singapore. Therefore, we used data from the SingHealth Diabetes Registry (SDR), a multi-institutional diabetes registry in Singapore, from 2013 to 2019, representing more than 8 healthcare sites and more than 200,000 patients aged ≥18 years with diabetes in Singapore, to examine the temporal trend in risk-factor control and adherence to preventive care. However, information on trends in risk factor control is scarce among individuals with diabetes in Asia. It is thus crucial to examine temporal trends in risk factor control to identify areas for improvement in diabetes care, and to inform the development of a more effective health systems response and public health policy. There is substantial evidence that quality improvements at the individual clinical practice, health systems, and policy levels aimed at risk factor control can prevent vascular complications of diabetes. Asian populations are at higher risk of developing type 2 diabetes (T2D), and have a higher risk of complications than their European counterparts. retinopathy and kidney diseases), and related mortality. cardiovascular disease (CVD)) and microvascular diseases (e.g. Diabetes increases the risk of macrovascular (e.g. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: The authors have declared that no competing interests exist.ĭiabetes is a major public health problem affecting about 9.3% (463 million) people worldwide. The grant was rewarded to Dr YMB and Professor THJ. The criteria include IRB approval, data use approval and a Research Collaboration Agreement.įunding: This study was funded by Industry Alignment Fund (Pre-Positioning) (IAF-PP) grant (grant number:H19/01/a0/023) from Agency for Science,Techonology and Research (A*STAR). Data are available from the SingHealth Diabetes Registry Disease Registry Committee for researchers who meet the criteria for access to confidential data. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: Data cannot be shared publicly because of SingHealth Cluster Data Policy on data sharing restrictions. Received: AugAccepted: OctoPublished: November 8, 2021Ĭopyright: © 2021 Feng et al. PLoS ONE 16(11):Įditor: Alice PS Kong, The Chinese University of Hong Kong, HONG KONG (2021) Trends in cardiovascular risk factors and treatment goals in patients with diabetes in Singapore-analysis of the SingHealth Diabetes Registry. ORE is free/open software, provided under the Modified BSD License, which permits using and modifying the code base as well as incorporating it into commercial applications.Citation: Feng L, Lam A, Carmody D, Lim CW, Tan G, Goh S-Y, et al. ORE is sponsored by Quaternion Risk Management as part of the firm’s commitment to transparency in pricing methods and risk analytics applied in the industry. ORE is based on QuantLib, the open source library for quantitative finance, and it extends QuantLib in terms of simulation models, financial instruments and pricing engines. various examples that demonstrate typical use cases.simple application launchers in Excel, LibreOffice, Python, Jupyter.interfaces for trade/market data and system configuration (API and XML).contemporary risk analytics and value adjustments (XVAs).an extensible foundation for tailored risk solutions.a benchmarking, validation, training, teaching reference.The Open Source Risk project aims at establishing a transparent peer-reviewed framework for pricing and risk analysis that can serve as
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