ArticleJournal of Korean medical science2020
Updating Disability Weights for Measurement of Healthy Life Expectancy and Disability-adjusted Life Year in Korea.
Article in Journal of Korean medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 26 citations in OpenAlex.
- One cancer, two stories: divergent estimates of gastric cancer burden in Korea.Archives of public health = Archives belges de sante publique · 2026Article
- Disability-adjusted life years for colorectal cancer in China, 2017-2030: A prevalence-based analysis focusing on the impact of screening coverage and the application of local weights.Chinese medical journal · 2025Article
- [Estimation of Burden of Disease due to Climate Change in the Republic of Korea].Jugan geon-gang gwa jilbyeong · 2024Article
- Korean National Burden of Disease: The Importance of Diabetes Management.Diabetes & metabolism journal · 2024Review
- Effect of direct-acting antivirals on disease burden of hepatitis C virus infection in South Korea in 2007-2021: a nationwide, multicentre, retrospective cohort study.EClinicalMedicine · 2024Article
- Measuring the Burden of Disease in Korea Using Disability-Adjusted Life Years (2008-2020).Journal of Korean medical science · 2024Article
- Trends in Healthy Life Expectancy (HALE) and Disparities by Income and Region in Korea (2008-2020): Analysis of a Nationwide Claims Database.Journal of Korean medical science · 2024Article
- A Model-Based Cost-Effectiveness Analysis of Long-Acting Monoclonal Antibody (Tixagevimab and Cilgavimab: Evusheld) Preventive Treatment for High-Risk Populations Against SARS-CoV-2 in Korea.Journal of Korean medical science · 2023Article
- Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023Article
- Disability weight measurement for the severity of different diseases in Wuhan, China.Population health metrics · 2023Article
- Trends and Patterns of Cancer Burdens by Region and Income Level in Korea: A National Representative Big Data Analysis.Cancer research and treatment · 2023Article
- Can global or national disability weights represent provincial level?BMC public health · 2023Article
- Burn Patient Perspectives on Disability Weights and the Philosophy of Disability: A Gap in the Literature.European burn journal · 2023Article
- COX-2 Inhibitor Use as an Early Treatment Option for Knee Osteoarthritis Patients in Korea: A Population-Based Cross-Sectional Study.Journal of Korean medical science · 2022Article
- A systematic literature review of disability weights measurement studies: evolution of methodological choices.Archives of public health = Archives belges de sante publique · 2022Review
- Measuring the Burden of Disease in Korea, 2008-2018.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021Article
- Estimation of Years Lived with Disability Using a Prevalence-Based Approach: Application to Major Psychiatric Disease in Korea.International journal of environmental research and public health · 2021Review
- How do Japanese rate the severity of different diseases and injuries?-an assessment of disability weights for 231 health states by 37,318 Japanese respondents.Population health metrics · 2021Article
- The Gaps in Health-Adjusted Life Years (HALE) by Income and Region in Korea: A National Representative Bigdata Analysis.International journal of environmental research and public health · 2021Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe 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.
methodsA 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.
resultsWe 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.
conclusionWe 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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.