ArticleJournal of Korean medical science2016
Disability Weights Measurement for 228 Causes of Disease in the Korean Burden of Disease Study 2012.
Article in Journal of Korean medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
43 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Cancers: What Are the Costs in Relation to Disability-Adjusted Life Years? A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
- Discrete Choice Experiments in Health Economics: Past, Present and Future.PharmacoEconomics · 2019Pooled it
- Cost-effectiveness of intrapartum azithromycin to prevent maternal infection, sepsis, or death in low-income and middle-income countries: a modelling analysis of data from a randomised, multicentre, placebo-controlled trial.The Lancet. Global health · 2025Trial
- Disability weights measurement for 148 childhood health statuses in Hunan, China: a study based on face-to-face surveys.Population health metrics · 2025Article
- Application of BRAFO-Tiered Approach for Risk-Benefit Assessment of Nut Consumption in Chinese Adults.Foods (Basel, Switzerland) · 2025Article
- Korean National Burden of Disease: The Importance of Diabetes Management.Diabetes & metabolism journal · 2024Review
- Comprehensive Measurement of the Burden of Disease due to Adverse Events: A New Analysis of the Cross-Sectional Patient Safety Incident Inquiry.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
- Can global or national disability weights represent provincial level?BMC public health · 2023Article
- Model-based estimation of burden of COVID-19 with disability-adjusted life years and value of statistical life in West Bengal, India.BMJ open · 2023Article
- Cost-effectiveness evaluation of different control strategies for Clonorchis sinensis infection in a high endemic area of China: A modelling study.PLoS neglected tropical diseases · 2022Article
- A systematic literature review of disability weights measurement studies: evolution of methodological choices.Archives of public health = Archives belges de sante publique · 2022Review
- Adjustment for Multimorbidity in Estimations of the Burden of Diseases Using Korean NHIS Data.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022Article
- DALY Estimation Approaches: Understanding and Using the Incidence-based Approach and the Prevalence-based Approach.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2022Review
- 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
- Article
- The Burden of Cancer in a Sample of Iranian Population.Iranian journal of public health · 2021Article
- The Burden of Cardiovascular Diseases in the Kurdistan Province, Iran, from 2011 through 2017.The journal of Tehran Heart Center · 2021Article
- Article
- Estimating the disease burden of Korean type 2 diabetes mellitus patients considering its complications.PloS one · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Disability weight for each disease plays a key role in combining years lived with disability and years of life lost in disability adjusted life year. For the Korean Burden of Disease 2012 study, we have conducted a re-estimation of disability weights for causes of disease by adapting the methodology of a recent Global Burden of Disease study. Our study was conducted through a self-administered web-based survey using a paired comparison (PC) as the main valuation method. A total of 496 physicians and medical college students who were attending in third or fourth grade of a regular course conducted the survey. We applied a probit regression on the PC data and computed the predicted probabilities of each cause of disease from the coefficient estimates of the probit regression. We used 'being dead (1)' and 'full health (0)' as anchor points to rescale the predicted probability of each cause of disease on a scale of 0 to 1. By this method, disability weights for a total of 228 causes of disease were estimated. There was a fairly high correlation between the disability weights of overlapping causes of disease from this study and a previous South Korean study despite the differences in valuation methods and time periods. In conclusion, we have shown that disability weights can be estimated based on a PC by including 'full health' and 'being dead' as anchor points without resorting to a person trade-off. Through developments in the methodology of disability weights estimation from this study, disability weights can be easily estimated and continuously revised.
Indexed as
Identifiers
What OpenQuestion holds
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.