COVID-19 International Collaborative Research by the Health Insurance Review and Assessment Service Using Its Nationwide Real-world Data: Database, Outcomes, and Implications
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This article aims to introduce the inception and operation of the COVID-19 International Collaborative Research Project, the world’s first coronavirus disease 2019 (COVID-19) open data project for research, along with its dataset and research method, and to discuss relevant considerations for collaborative research using nationwide real-world data (RWD). COVID-19 has spread across the world since early 2020, becoming a serious global health threat to life, safety, and social and economic activities. However, insufficient RWD from patients was available to help clinicians efficiently diagnose and treat patients with COVID-19, or to provide necessary information to the government for policy-making. Countries that saw a rapid surge of infections had to focus on leveraging medical professionals to treat patients, and the circumstances made it even more difficult to promptly use COVID-19 RWD. Against this backdrop, the Health Insurance Review and Assessment Service (HIRA) of Korea decided to open its COVID-19 RWD collected through Korea’s universal health insurance program, under the title of the COVID-19 International Collaborative Research Project. The dataset, consisting of 476 508 claim statements from 234 427 patients (7590 confirmed cases) and 18 691 318 claim statements of the same patients for the previous 3 years, was established and hosted on HIRA’s in-house server. Researchers who applied to participate in the project uploaded analysis code on the platform prepared by HIRA, and HIRA conducted the analysis and provided outcome values. As of November 2020, analyses have been completed for 129 research projects, which have been published or are in the process of being published in prestigious journals.
Abstract
This article aims to introduce the inception and operation of the COVID-19 International Collaborative Research Project, the world’s first coronavirus disease 2019 (COVID-19) open data project for research, along with its dataset and research method, and to discuss relevant considerations for collaborative research using nationwide real-world data (RWD). COVID-19 has spread across the world since early 2020, becoming a serious global health threat to life, safety, and social and economic activities. However, insufficient RWD from patients was available to help clinicians efficiently diagnose and treat patients with COVID-19, or to provide necessary information to the government for policy-making. Countries that saw a rapid surge of infections had to focus on leveraging medical professionals to treat patients, and the circumstances made it even more difficult to promptly use COVID-19 RWD. Against this backdrop, the Health Insurance Review and Assessment Service (HIRA) of Korea decided to open its COVID-19 RWD collected through Korea’s universal health insurance program, under the title of the COVID-19 International Collaborative Research Project. The dataset, consisting of 476 508 claim statements from 234 427 patients (7590 confirmed cases) and 18 691 318 claim statements of the same patients for the previous 3 years, was established and hosted on HIRA’s in-house server. Researchers who applied to participate in the project uploaded analysis code on the platform prepared by HIRA, and HIRA conducted the analysis and provided outcome values. As of November 2020, analyses have been completed for 129 research projects, which have been published or are in the process of being published in prestigious journals.
참고문헌 (12)
- "WHO coronavirus disease (COVID-19) dashboard"[URL]
- Engelbrecht FA, "Test for Covid-19 seasonality and the risk of second waves", One Health, 12, pp.100202~ (2021)
- Li Y, "Global seasonality of human seasonal coronaviruses: a clue for postpandemic circulating season of severe acute respiratory syndrome coronavirus 2?", J Infect Dis, 222(7), pp.1090~1097 (2020)
- Burn E, "Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study", Nat Commun, 11(1), pp.5009~ (2020)
- Cho SI, "Association of COVID-19 with skin diseases and relevant biologics: a cross-sectional study using nationwide claim data in South Korea", Br J Dermatol (2020)
- Jung SY, "Association of renin-angiotensin-aldosterone system inhibitors with coronavirus disease 2019(COVID-19)-related outcomes in Korea : a nationwide population-based cohort study", Clin Infect Dis, 71(16), pp.2121~2128 (2020)
- Lee SW, "Severe clinical outcomes of COVID-19 associated with proton pump inhibitors : a nationwide cohort study with propensity score matching", Gut, 70(1), pp.76~84 (2021)
- Lee SW, "Association between mental illness and COVID-19 susceptibility and clinical outcomes in South Korea : a nationwide cohort study", Lancet Psychiatry, 7(12), pp.1025~1031 (2020)
- Jeong HE, "Association between nonsteroidal antiinflammatory drug use and adverse clinical outcomes among adults hospitalized with coronavirus 2019 in South Korea: a nationwide study, clinical infectious diseases", Clin Infect Dis (2020)
- You SC, "Association of ticagrelor vs clopidogrel with net adverse clinical events in patients with acute coronary syndrome undergoing percutaneous coronary intervention", JAMA, 324(16), pp.1640~1650 (2020)
- Suchard MA, "Comprehensive comparative effectiveness and safety of first-line antihypertensive drug classes: a systematic, multinational, large-scale analysis", Lancet, 394(10211), pp.1816~1826 (2019)
- Lee H, "Power of universal health coverage in the era of COVID-19 : a nationwide observational study", Lancet Reg Health West Pac, 7, pp.100088~ (2021)