Evidence map›Paper›PMID 37551067›Full record

ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2023

Updating Korean Disability Weights for Causes of Disease: Adopting an Add-on Study Method.

Dasom Im, Noor Afif Mahmudah, Seok-Jun Yoon, Young-Eun Kim, Don-Hyung Lee, Yeon-Hee Kim, Yoon-Sun Jung, Minsu Ock

Abstract readValidation Study
PubMed Full text at PMC Publisher
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Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Measuring Trends in Disability-adjusted Life Years and Life Expectancy in Korea: 2008 to 2021.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2026
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Dasom ImDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.
Noor Afif MahmudahDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.
Seok-Jun YoonDepartment of Preventive Medicine, Korea University College of Medicine, Seoul, Korea.
Young-Eun KimBig Data Department, National Health Insurance Service, Wonju, Korea.
Don-Hyung LeeResearch & Statistics Team, Korean Health Promotion Institute, Seoul, Korea.
Yeon-Hee KimResearch & Statistics Team, Korean Health Promotion Institute, Seoul, Korea.
Yoon-Sun JungArtificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University College of Medicine, Incheon, Korea.
Minsu OckDepartment of Preventive Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea.

Funding

Korean Health Promotion Institute
6 · The paper itself

Abstract

objectivesDisability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics.

methodsThe 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively.

resultsThe mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights.

conclusionsThis method can be employed in other countries to obtain timely disability weight estimations.

Indexed as

Asian PeopleDisability EvaluationPersons with DisabilitiesSeverity of Illness IndexCausalityCost of IllnessHumansQuality-Adjusted Life YearsRepublic of KoreaSurveys and QuestionnairesAdd-on study methodBurden of diseaseDisability weightRepublic of Korea

Identifiers

PMID37551067
PMCPMC10415644

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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.