ArticlePloS one2016
Estimation of Disability Weights in the General Population of South Korea Using a Paired Comparison.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.
- Estimated disability weights for the severity of health outcomes: a systematic review and meta-analysis.Population health metrics · 2025Pooled it
- Disability weight and estimated disability-adjusted life years of patients with X-linked dystonia-parkinsonism.Journal of neural transmission (Vienna, Austria : 1996) · 2026Article
- Newly estimated disability weights for 196 health states in Hubei Province, China.Population health metrics · 2024Article
- Medical service utilization by children with physical or brain disabilities in South Korea.BMC pediatrics · 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
- Context matters for disability and priority setting for musculoskeletal diseases: revisiting the egalitarian approach to disability weights and disability-adjusted life-years.BMJ global health · 2023Review
- Disability weight measurement for the severity of different diseases in Wuhan, China.Population health metrics · 2023Article
- Can global or national disability weights represent provincial level?BMC public health · 2023Article
- A Cost-Effectiveness Analysis of Pre-Exposure Prophylaxis to Avert Rabies Deaths in School-Aged Children in India.Vaccines · 2022Article
- Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study.The Lancet regional health. Western Pacific · 2022Article
- Understanding community perception and disability weights - A qualitative exploration of reasons associated with values in two states of India.Journal of family medicine and primary care · 2022Article
- A systematic literature review of disability weights measurement studies: evolution of methodological choices.Archives of public health = Archives belges de sante publique · 2022Review
- Multimorbidity adjusted years lost to disability rates calculated through Monte-Carlo simulation in Korea.Epidemiology and health · 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
- 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
- Health gap for multimorbidity: comparison of models combining uniconditional health gap.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2020Article
- Updating Disability Weights for Measurement of Healthy Life Expectancy and Disability-adjusted Life Year in Korea.Journal of Korean medical science · 2020Article
- Haemophilia A: health and economic burden of a rare disease in Portugal.Orphanet journal of rare diseases · 2019Article
- Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea.Journal of Korean medical science · 2019Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
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Abstract
We estimated the disability weights in the South Korean population by using a paired comparison-only model wherein 'full health' and 'being dead' were included as anchor points, without resorting to a cardinal method, such as person trade-off. The study was conducted via 2 types of survey: a household survey involving computer-assisted face-to-face interviews and a web-based survey (similar to that of the GBD 2010 disability weight study). With regard to the valuation methods, paired comparison, visual analogue scale (VAS), and standard gamble (SG) were used in the household survey, whereas paired comparison and population health equivalence (PHE) were used in the web-based survey. Accordingly, we described a total of 258 health states, with 'full health' and 'being dead' designated as anchor points. In the analysis, 4 models were considered: a paired comparison-only model; hybrid model between paired comparison and PHE; VAS model; and SG model. A total of 2,728 and 3,188 individuals participated in the household and web-based survey, respectively. The Pearson correlation coefficients of the disability weights of health states between the GBD 2010 study and the current models were 0.802 for Model 2, 0.796 for Model 1, 0.681 for Model 3, and 0.574 for Model 4 (all P-values<0.001). The discrimination of values according to health state severity was most suitable in Model 1. Based on these results, the paired comparison-only model was selected as the best model for estimating disability weights in South Korea, and for maintaining simplicity in the analysis. Thus, disability weights can be more easily estimated by using paired comparison alone, with 'full health' and 'being dead' as one of the health states. As noted in our study, we believe that additional evidence regarding the universality of disability weight can be observed by using a simplified methodology of estimating disability weights.
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