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Updating Disability Weights for Measurement of Healthy Life Expectancy and Disability-adjusted Life Year in Korea

Authors
Kim, Young-EunJo, Min-WooPark, HyesookOh, In-HwanYoon, Seok-JunPyo, JeeheeOck, Minsu
Issue Date
13-7월-2020
Publisher
KOREAN ACAD MEDICAL SCIENCES
Keywords
Disability Weight; Burden of Disease; Republic of Korea; Ranking Method
Citation
JOURNAL OF KOREAN MEDICAL SCIENCE, v.35, no.27
Indexed
SCIE
SCOPUS
KCI
Journal Title
JOURNAL OF KOREAN MEDICAL SCIENCE
Volume
35
Number
27
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/54402
DOI
10.3346/jkms.2020.35.e219
ISSN
1011-8934
Abstract
Background: The present study aimed to update the methodology to estimate cause-specific disability weight (DW) for the calculation of disability adjusted life year (DALY) and health-adjusted life expectancy (HALE) based on the opinion of medical professional experts. Furthermore, the study also aimed to compare and assess the size of DW according to two analytical methods and estimate the most valid DW from the perspective of years lost due to disability and HALE estimation. Methods: A self-administered web-based survey was conducted ranking five causes of disease. A total of901 participants started the survey and response data of 806 participants were used in the analyses. In the process of resealing predicted probability to DW on a scale from 0 to 1, two models were used for two groups: Group 1 (physicians and medical students) and Group 2 (nurses and oriental medical doctors). In Model 1, predicted probabilities were rescaled according to the normal distribution of DWs. In Model 2, the natural logarithms of predicted probabilities were rescaled according to the asymmetric distribution of DWs. Results: We estimated DWs fora total of 313 causes of disease in each model and group. The mean of DWs according to the models in each group was 0.490 (Model 1 in Group 1), 0.378 (Model 2 in Group 1), 0.506 (Model 1 in Group 2), and 0.459 (Model 2 in Group 2), respectively. About two-thirds of the causes of disease had DWs of 0.2 to 0.4 in Model 2 in Group 1. In Group 2, but not in Group 1, there were some cases where the DWs had a reversed order of severity. Conclusion: We attempted to calculate DWs of 313 causes of disease based on the opinions of various types of medical professionals using the previous analysis methods as well as the revised analysis method. The DWs from this study can be used to accurately estimate DALY and health life expectancy, such as HALE, in the Korean population.
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