Journal of Preventive Medicine and Public Health

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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Abstract Summary PDF Supplementary 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

Review

DALY Estimation Approaches: Understanding and Using the Incidence-based Approach and the Prevalence-based Approach: Young-Eun Kim, Yoon-Sun Jung, Minsu Ock, Seok-Jun Yoon; J Prev Med Public Health. 2022;55(1):10-18. Published online January 19, 2022; DOI: https://doi.org/10.3961/jpmph.21.597

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Abstract Summary PDF

Disability-adjusted life-year (DALY) estimates may vary according to factors such as the standard life expectancy, age weighting, time preference and discount rate, calculation of disability weights, and selection of the estimation method. DALY estimation methods are divided into the following 3 approaches: the incidence-based approach, the pure prevalence-based approach, and the hybrid approach. These 3 DALY estimation approaches each reflect different perspectives on the burden of disease using unique characteristics, based on which the selection of a suitable approach may vary by the purpose of the study. The Global Burden of Disease studies, which previously estimated DALYs using the incidence-based approach, switched to using the hybrid approach in 2010, while the National Burden of Disease studies in Korea still mainly apply the incidence-based approach. In order to increase comparability with other international burden of disease studies, more DALY studies using the prevalence-based approach need to be conducted in Korea. However, with the limitations of the hybrid approach in mind, it is necessary to conduct more research using a disease classification system suitable for Korea. Furthermore, more detailed and valid data sources should be established before conducting studies using a broader variety of DALY estimation approaches. This review study will help researchers on burden of disease use an appropriate DALY estimation approach and will contribute to enhancing researchers’ ability to critically interpret burden of disease studies.

Summary

Korean summary
장애보정생존연수 산출 방법은 발생률 접근법, 순수 유병률 접근법 및 하이브리드 접근법으로 나뉜다. 이러한 3가지 장애보정생존연수 산출 접근법은 각각 고유한 특성을 가지고 질병부담에 대한 다양한 관점을 반영하기 때문에, 연구 목적에 따라 산출 접근법의 선택이 달라질 수 있다. 이번 연구의 결과는 연구자들이 장애보정생존연수 산출 방법의 타당성을 향상시키기 위하여 질병부담 연구에 사용할 산출 접근법을 결정하는 데 도움이 될 것이다.

Citations

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Original Article

Estimating the Disability Weight of Major Cancers in Korea Using Delphi Method.: Seok Jun Yoon, Young Dae Kwon, Byoung Yik Kim; Korean J Prev Med. 2000;33(4):409-414.

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Abstract PDF: OBJECTIVES
To estimate the weighting for the disability caused by major cancers in Korea using the Delphi method. METHODS: We selected 19 panelists to estimate the disability weighting of major cancers in Korea by using the Delphi method. To select the relevant kinds of cancers, we used National Death Certificate Data produced by the National Statistical Office in 1996. Then the stability of each delphi round was calculated by using the coefficient of variance. RESULTS: The disability weight of major cancers for males was pancreas cancer(0.36), liver cancer(0.35), esophageal cancer(0.30), stomach cancer(0.27), lung cancer(0.26), and colorectal cancer(0.30). The disability weight of major cancers for females was pancreas cancer(0.36), liver cancer(0.34), esophageal cancer(0.29), stomach cancer(0.28), lung cancer(0.26), and colorectal cancer(0.28). CONCLUSION: The results of this study will provide baseline data useful for the measurement of the burden of disease caused by cancers in Korea.; Summary

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