J Korean Med Sci.  2020 Jul;35(27):e219. 10.3346/jkms.2020.35.e219.

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

Affiliations
  • 1Department of Preventive Medicine, Korea University College of Medicine, Seoul, Korea
  • 2Big Data Department, National Health Insurance Service, Wonju, Korea
  • 3Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea
  • 4Department of Preventive Medicine, Ewha Womans University College of Medicine, Seoul, Korea
  • 5Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul, Korea
  • 6Department of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea

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 of 901 participants started the survey and response data of 806 participants were used in the analyses. In the process of rescaling 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 for a 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.

Keyword

Disability Weight; Burden of Disease; Republic of Korea; Ranking Method

Figure

  • Fig. 1 Distribution of disability weights in each analytical method.

  • Fig. 2 Correlation of disability weights between a previous study and this study.aData from the most recent Korean disability weights study.18


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