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Burden of Disease in Coastal Areas of South Korea: An Assessment Using Health Insurance Claim Data

Author

Listed:
  • Munkhzul Radnaabaatar

    (Department of Public Health, Graduate School, Korea University, Seoul 02841, Korea)

  • Young-Eun Kim

    (Department of Preventive Medicine, Korea University College of Medicine, Seoul 02841, Korea)

  • Dun-Sol Go

    (Department of Public Health, Graduate School, Korea University, Seoul 02841, Korea)

  • Yunsun Jung

    (Department of Public Health, Graduate School, Korea University, Seoul 02841, Korea)

  • Seok-Jun Yoon

    (Department of Preventive Medicine, Korea University College of Medicine, Seoul 02841, Korea)

Abstract

Background: While measuring and monitoring disease morbidity, it is essential to focus on regions experiencing inequitable health outcomes, especially coastal populations. However, no research investigating population health outcomes in coastal areas has been conducted. Therefore, we aimed to investigate the burden of disease morbidity in coastal areas of South Korea. Methods: Using an administrative division map and the ArcGIS, we identified and included 496 coastal districts. In this observational study, years lived with disability (YLDs) were estimated using incidence-based approaches to calculate the burden of disease in 2015. Incidence and prevalence cases were collected using National Health Insurance Service (NHIS) medical claim data using a specialized algorithm. Results: Age-standardized years lived with disability (ASYLDs) in the coastal areas were 24,398 per 100,000 population, which is greater than the 22,613 YLDs observed nationwide. In coastal areas, the burden of disease morbidity was higher in females than in males. Diabetes mellitus was the leading specific disease of total YLDs per 100,000 population, followed by low back pain, chronic obstructive pulmonary disease, osteoarthritis, and ischemic stroke. Conclusion: In this study, the coastal areas of South Korea carry a higher burden than the national population. Additionally, chronic diseases compose the majority of the health burden in coastal areas. Despite the limitation of data, YLD was the best tool available for evaluating the health outcomes in specific areas, and has the advantage of simplicity and timely analysis.

Suggested Citation

  • Munkhzul Radnaabaatar & Young-Eun Kim & Dun-Sol Go & Yunsun Jung & Seok-Jun Yoon, 2019. "Burden of Disease in Coastal Areas of South Korea: An Assessment Using Health Insurance Claim Data," IJERPH, MDPI, vol. 16(17), pages 1-11, August.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:17:p:3044-:d:259844
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    References listed on IDEAS

    as
    1. Hyun Joo Kim & Min-Woo Jo & Seok-Hwan Bae & Seok-Jun Yoon & Jin Yong Lee, 2019. "Measuring the Burden of Disease Due to Preterm Birth Complications in Korea Using Disability-Adjusted Life Years (DALY)," IJERPH, MDPI, vol. 16(3), pages 1-12, February.
    2. Kavi Bhalla & James Harrison & Jerry Abraham & Nagesh N Borse & Ronan Lyons & Soufiane Boufous & Limor Aharonson-Daniel & on behalf of the Global Burden of Disease Injury Expert Group, 2009. "Data Sources for Improving Estimates of the Global Burden of Injuries: Call for Contributors," PLOS Medicine, Public Library of Science, vol. 6(1), pages 1-3, January.
    Full references (including those not matched with items on IDEAS)

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