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Can global or national disability weights represent provincial level?

BACKGROUND: A 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.Af...

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Autores principales: He, Qin, Zhou, Maigeng, Yin, Peng, Jiang, Bo, Qi, Jinlei, Liu, Yunning, Liu, Jiangmei, You, Jinling, Zhou, Yuchang, Long, Zheng, Xing, Xiuya, Cheng, Qianyao, Chen, Yeji, Wang, Huadong, Liu, Zhirong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999537/
https://www.ncbi.nlm.nih.gov/pubmed/36899365
http://dx.doi.org/10.1186/s12889-022-14347-7
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author He, Qin
Zhou, Maigeng
Yin, Peng
Jiang, Bo
Qi, Jinlei
Liu, Yunning
Liu, Jiangmei
You, Jinling
Zhou, Yuchang
Long, Zheng
Xing, Xiuya
Cheng, Qianyao
Chen, Yeji
Wang, Huadong
Liu, Zhirong
author_facet He, Qin
Zhou, Maigeng
Yin, Peng
Jiang, Bo
Qi, Jinlei
Liu, Yunning
Liu, Jiangmei
You, Jinling
Zhou, Yuchang
Long, Zheng
Xing, Xiuya
Cheng, Qianyao
Chen, Yeji
Wang, Huadong
Liu, Zhirong
author_sort He, Qin
collection PubMed
description BACKGROUND: A 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. METHODS: A 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. RESULTS: Compared 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. CONCLUSION: PC 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14347-7.
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spelling pubmed-99995372023-03-11 Can global or national disability weights represent provincial level? He, Qin Zhou, Maigeng Yin, Peng Jiang, Bo Qi, Jinlei Liu, Yunning Liu, Jiangmei You, Jinling Zhou, Yuchang Long, Zheng Xing, Xiuya Cheng, Qianyao Chen, Yeji Wang, Huadong Liu, Zhirong BMC Public Health Research BACKGROUND: A 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. METHODS: A 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. RESULTS: Compared 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. CONCLUSION: PC 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14347-7. BioMed Central 2023-03-10 /pmc/articles/PMC9999537/ /pubmed/36899365 http://dx.doi.org/10.1186/s12889-022-14347-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
He, Qin
Zhou, Maigeng
Yin, Peng
Jiang, Bo
Qi, Jinlei
Liu, Yunning
Liu, Jiangmei
You, Jinling
Zhou, Yuchang
Long, Zheng
Xing, Xiuya
Cheng, Qianyao
Chen, Yeji
Wang, Huadong
Liu, Zhirong
Can global or national disability weights represent provincial level?
title Can global or national disability weights represent provincial level?
title_full Can global or national disability weights represent provincial level?
title_fullStr Can global or national disability weights represent provincial level?
title_full_unstemmed Can global or national disability weights represent provincial level?
title_short Can global or national disability weights represent provincial level?
title_sort can global or national disability weights represent provincial level?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9999537/
https://www.ncbi.nlm.nih.gov/pubmed/36899365
http://dx.doi.org/10.1186/s12889-022-14347-7
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