ArticleJournal of Korean medical science2019
Disability Weights Measurement for 289 Causes of Disease Considering Disease Severity in Korea.
Article in Journal of Korean medical science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Estimated disability weights for the severity of health outcomes: a systematic review and meta-analysis.Population health metrics · 2025Pooled it
- Incidence and survival of Lung Cancer: A retrospective population-based cohort (Monastir, Tunisia: 2002-2022).PloS one · 2025Article
- Newly estimated disability weights for 196 health states in Hubei Province, China.Population health metrics · 2024Article
- Assessment of the burden of rabies in one health approach control program in Ketapang District Indonesia: Using zDALY.Preventive medicine reports · 2024Article
- Estimates of hospitalisations and deaths in patients with COVID-19 associated with undiagnosed diabetes during the first phase of the pandemic in eight low-income and middle-income countries: a modelling study.EClinicalMedicine · 2024Article
- Burden changes in notifiable infectious diseases in Taiwan during the COVID-19 pandemic.PeerJ · 2024Article
- 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
- A Cost-Effectiveness Analysis of Pre-Exposure Prophylaxis to Avert Rabies Deaths in School-Aged Children in India.Vaccines · 2022Article
- Estimating disability-adjusted life years for breast cancer and the impact of screening in female populations in China, 2015-2030: an exploratory prevalence-based analysis applying local weights.Population health metrics · 2022Article
- A systematic literature review of disability weights measurement studies: evolution of methodological choices.Archives of public health = Archives belges de sante publique · 2022Review
- 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
- Estimating the disease burden of Korean type 2 diabetes mellitus patients considering its complications.PloS one · 2021Article
- Updating Disability Weights for Measurement of Healthy Life Expectancy and Disability-adjusted Life Year in Korea.Journal of Korean medical science · 2020Article
- Patients' Self-Reported Disability Weights of Top-Ranking Diseases in Thailand: Do They Differ by Socio-Demographic and Illness Characteristics?International journal of environmental research and public health · 2020Article
- The Korean National Burden of Disease Study: from Evidence to Policy.Journal of Korean medical science · 2019Review
- Disability weights for castration-resistant prostate cancer: an empirical investigation.Global & regional health technology assessmentArticle
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7 authors.
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Abstract
backgroundFor the Korean Burden of Disease (KBD) 2015 study, we have amended disability weights for causes of disease adapting the methodology of the KBD disability weight 2012 study.
methodsWe conducted a self-administered web-based survey in Korea using ranking five causes of disease. A total of 605 physicians and medical college students who were attending in third or fourth grade of a regular course performed the survey. We converted the ranked data into paired comparison data and ran a probit regression. The predicted probabilities for each cause of disease were calculated from the coefficient estimates of the probit regression. 'Being dead (1)' and 'Full health (0)' were utilized as anchor points to rescale the predicted probability on a scale from 0 to 1.
resultsAs a result, disability weights for a total of 289 causes of disease were estimated. In particular, we calculated the disability weights of 60 causes of disease considering severity level. These results show that prejudice about the severity of cause of disease itself can affect the estimation of disability weight, when estimating the disability weight for causes of disease without consideration of severity. Furthermore, we have shown that disability weights can be estimated based on a ranking method which can maximize efficiency of data collection.
conclusionDisability weights from this study can be used to estimate disability adjusted life year and healthy life expectancy. Furthermore, we expected that the use of the ranking method will increase gradually in disability weight studies.
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