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1 "Yeon-hee Kim"
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Special Article
Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method
Dasom Im, Noor Afif Mahmudah, Seok-Jun Yoon, Young-Eun Kim, Don-Hyung Lee, Yeon-hee Kim, Yoon-Sun Jung, Minsu Ock
J Prev Med Public Health. 2023;56(4):291-302.   Published online June 26, 2023
DOI: https://doi.org/10.3961/jpmph.23.192
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  • 3 Web of Science
  • 3 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
Disability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics.
Methods
The 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively.
Results
The mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights.
Conclusions
This method can be employed in other countries to obtain timely disability weight estimations.
Summary
Korean summary
이 연구에서는 장애보정생존연수의 산출 방법론 중 발생률 기반 접근법을 이용하여 질병부담 산출에 활용할 질병원인에 대한 장애가중치를 산출하고 한국의 문화사회적 특징을 고려하여 이에 대한 타당성을 검증하였다. 특히, 지난 연구에서 활용한 질병원인에 대한 장애가중치 결과값을 add-on study 방법으로 활용하여 장애가중치를 개정하였다. 이번 연구에서 수행한 add-on study 방법을 활용하여 장애가중치 값을 산출할 경우 다수의 전문가의 누적된 의견을 기반으로 장애가중치를 안정적으로 개정하여 특정 질병원인의 장애보정생존연수를 보다 정확하게 산출할 수 있게 될 것이다.

Citations

Citations to this article as recorded by  
  • Trends in Healthy Life Expectancy (HALE) and Disparities by Income and Region in Korea (2008–2020): Analysis of a Nationwide Claims Database
    Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008–2020)
    Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
    Journal of Korean Medical Science.2024;[Epub]     CrossRef
  • Korean National Burden of Disease: The Importance of Diabetes Management
    Chung-Nyun Kim, Yoon-Sun Jung, Young-Eun Kim, Minsu Ock, Seok-Jun Yoon
    Diabetes & Metabolism Journal.2024; 48(4): 518.     CrossRef

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