Researchers from Gyeongsang National University Provide Details of New Studies and Findings in the Area of Type 2 Diabetes (Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance ...): Nutritional and Metabolic Diseases and Conditions - Type 2 Diabetes - Insurance News | InsuranceNewsNet

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May 2, 2023 Newswires
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Researchers from Gyeongsang National University Provide Details of New Studies and Findings in the Area of Type 2 Diabetes (Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance …): Nutritional and Metabolic Diseases and Conditions – Type 2 Diabetes

Health & Medicine Business Daily

2023 MAY 02 (NewsRx) -- By a News Reporter-Staff News Editor at Health & Medicine Business Daily -- Investigators discuss new findings in type 2 diabetes. According to news originating from Changwon, South Korea, by NewsRx correspondents, research stated, “We evaluated the validity and reliability of the operational definition of type 2 diabetes mellitus (T2DM) based on the Korean National Health Insurance Service (NHIS) database. Adult subjects ( 40 years old) included in the Korea National Health and Nutrition Examination Survey (KNHANES) from 2008 to 2017 were merged with those from the NHIS health check-up database, producing a cross-sectional dataset.”

Financial supporters for this research include Korea Health Technology R&D Project; Korea Health Industry Development Institute; Ministry of Health And Welfare.

Our news journalists obtained a quote from the research from Gyeongsang National University: “We evaluated the sensitivity, specificity, accuracy, and agreement of the NHIS criteria for defining T2DM by comparing them with the KNHANES criteria as a standard reference. In the study population (n=13,006), two algorithms were devised to determine from the NHIS dataset whether the diagnostic claim codes for T2DM were accompanied by prescription codes for anti-diabetic drugs (algorithm 1) or not (algorithm 2). Using these algorithms, the prevalence of T2DM was 14.9% (n=1,942; algorithm 1) and 20.8% (n=2,707; algorithm 2). Good reliability in defining T2DM was observed for both algorithms (Kappa index, 0.73 [algorithm 1], 0.63 [algorithm 2]). However, the accuracy (0.93 vs. 0.89) and specificity (0.96 vs. 0.90) tended to be higher for algorithm 1 than for algorithm 2. The validity (accuracy, ranging from 0.91 to 0.95) and reliability (Kappa index, ranging from 0.68 to 0.78) of defining T2DM by NHIS criteria were independent of age, sex, socioeconomic status, and accompanied hypertension or dyslipidemia.”

According to the news reporters, the research concluded: “The operational definition of T2DM based on population-based NHIS claims data, including diagnostic codes and prescription codes, could be a valid tool to identify individuals with T2DM in the Korean population.”

For more information on this research see: Comparison of Operational Definition of Type 2 Diabetes Mellitus Based on Data from Korean National Health Insurance Service and Korea National Health and Nutrition Examination Survey. Diabetes & Metabolism Journal, 2023,47(2):201-210. (Diabetes & Metabolism Journal - http://e-dmj.org/). The publisher for Diabetes & Metabolism Journal is Korean Diabetes Association.

A free version of this journal article is available at https://doi.org/10.4093/dmj.2022.0375.

Our news editors report that additional information may be obtained by contacting Jong Ha Baek, Department of Internal Medicine, Gyeongsang National University, Gyeongsang National University College of Medicine, Changwon, South Korea. Additional authors for this research include Yong-Moon Park, Kyung Do Han, Min Kyong Moon, Jong Han Choi, Seung-Hyun Ko. Our reports deliver fact-based news of research and discoveries from around the world.

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