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Complementing conventional infectious disease surveillance with national health insurance claims data in the Republic of Korea.
Jung, Jaehun; Im, Jae Hyoung; Ko, Young-Jin; Huh, Kyungmin; Yoon, Chang-Gyo; Rhee, Chulwoo; Kim, Young-Eun; Go, Dun-Sol; Kim, Arim; Jung, Yunsun; Radnaabaatar, Munkhzul; Yoon, Seok-Jun.
Afiliação
  • Jung J; Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Korea.
  • Im JH; Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Ko YJ; Department of Infectious Diseases, Inha University School of Medicine, Incheon, Republic of Korea.
  • Huh K; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Yoon CG; Department of Infectious Diseases, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Rhee C; Preventive Medicine Program, Graduate School of Public Health, Seoul National University, Seoul, Korea.
  • Kim YE; Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
  • Go DS; Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Kim A; Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Jung Y; Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Radnaabaatar M; Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
  • Yoon SJ; Department of Preventive Medicine, Korea University College of Medicine, Seoul, Republic of Korea.
Sci Rep ; 9(1): 8750, 2019 06 19.
Article em En | MEDLINE | ID: mdl-31217476
ABSTRACT
Surveillance remains an important tool for timely outbreak detection and response. Many countries, including Korea, have established national infectious disease surveillance systems with clinical notification. We aimed to evaluate the National Health Insurance Claims-based Surveillance (NHICS) compared to conventional passive report-based National Infectious Diseases Surveillance (NIDS). Reported to claimed cases ratios (R/C ratio) were evaluated from monthly notifiable disease cases captured by NIDS and NHICS. The relationships between 26 infectious diseases and each surveillance system were analysed using Pearson's correlation analysis and linear regression. There was an overall increase in R/C ratio from 2010-2017 (0.37 to 0.78). In 22 infectious diseases, there was a correlation between NIDS and NHICS. Moreover, claim-based surveillance showed less fluctuating disease incidence rates than report-based surveillance for specific infectious diseases, such as varicella, mumps, and scarlet fever. However, for infectious diseases with episodic outbreaks or low incidence, it was difficult to assess NHICS usefulness. Claim-based surveillance is less affected by limitations of conventional report-based surveillance systems, such as reporting rate. Given delays in claim systems, a claim-based surveillance is expected to be complementary to conventional systems for the detection of various infectious diseases with the advancement of bio-information technology.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Revisão da Utilização de Seguros / Doenças Transmissíveis / Surtos de Doenças Tipo de estudo: Screening_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Revisão da Utilização de Seguros / Doenças Transmissíveis / Surtos de Doenças Tipo de estudo: Screening_studies Limite: Female / Humans / Male País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2019 Tipo de documento: Article