ArticleBMC public health2023
Can global or national disability weights represent provincial level?
Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 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
- 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
- Newly estimated disability weights for 196 health states in Hubei Province, China.Population health metrics · 2024Article
- Korean National Burden of Disease: The Importance of Diabetes Management.Diabetes & metabolism journal · 2024Review
- Disability weights for environmental noise-related health states: results of a disability weights measurement study in Europe.BMJ public health · 2024Article
- Letter to the editor: "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 · 2024Article
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Authors and funding
15 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundA universal set of disability weights(DWs) is mainly based on the survey of North America, Australia and Europe, whereas the participants in Asia was limited. The debate hasn't yet settled whether a universal DW is desirable or useful.The focus of the debate is its representativenes-s.After all, the DWs come from people's subjective evaluation of pain, and they may vary according to cultural background.The differences of the DWs could have implications for the magnitude or ranking of disease burdens.The DWs of Anhui Province has not been completely presented.This paper aims to obtain the DWs suitable for the general population of Anhui Province of China, and attempts to explore the differences between different DWs by comparing the DWs with the similar-cultural background and the DWs with cross-cultural background.
methodsA web-based survey was conducted to estimate the DWs for 206 health states of Anhui province in 2020. Paired comparison (PC) data were analyzed and anchored by probit regression and fitting loess model. We compared the DWs in Anhui with other provinces in China and those in Global burden of disease (GBD) and Japan.
resultsCompared with Anhui province, the proportion of health states which showed 2 times or more differences ranged from 1.94% (Henan) to 11.17% (Sichuan) in China and domestic provinces. It was 19.88% in Japan and 21.51% in GBD 2013 respectively. In Asian countries or regions, most of the health states with top 15 DWs belonged to the category of mental, behavioral, and substance use disorders. But in GBD, most were infectious diseases and cancer. The differences of DWs in neighboring provinces were smaller than other geographically distant provinces or countries.
conclusionPC responses were largely consistent across very distinct settings,but the exceptions do need to be faced squarely.The differences of DWs among similar-cultural regions were smaller than cross-cultural regions. There is an urgent need for relevant gold standards.
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