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Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study
BACKGROUND: The disability weight (DW) quantifies the severity of health states from disease sequela and is a pivotal parameter for disease burden calculation. We conducted a national and subnational DW measurement in China. METHODS: In 2020–2021, we conducted a web-based survey to assess DWs for 20...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335373/ https://www.ncbi.nlm.nih.gov/pubmed/35910433 http://dx.doi.org/10.1016/j.lanwpc.2022.100520 |
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author | Liu, Xiaoxue Wang, Fang Yu, Chuanhua Zhou, Maigeng Yu, Yong Qi, Jinlei Yin, Peng Yu, Shicheng Zhou, Yuchang Lin, Lin Liu, Yunning Wang, Qiqi Zhong, Wenling Huang, Shaofen Li, Yanxia Liu, Li Liu, Yuan Ma, Fang Zhang, Yine Tian, Yuan Yu, Qiuli Zeng, Jing Pan, Jingju Zhou, Mengge Kang, Weiwei Zhou, Jin-Yi Yu, Hao Liu, Yuehua Li, Shaofang Yu, Huiting Wang, Chunfang Xia, Tian Xi, Jinen Ren, Xiaolan Xing, Xiuya Cheng, Qianyao Fei, Fangrong Wang, Dezheng Zhang, Shuang He, Yuling Wen, Haoyu Liu, Yan Shi, Fang Wang, Yafeng Sun, Panglin Bai, Jianjun Wang, Xuyan Shen, Hui Ma, Yudiyang Yang, Donghui Mubarik, Sumaira Cao, Jinhong Meng, Runtang Zhang, Yunquan Guo, Yan Yan, Yaqiong Zhang, Wei Ke, Sisi Zhang, Runhua Wang, Dingyi Zhang, Tingting Nomura, Shuhei Hay, Simon I. Salomon, Joshua A. Haagsma, Juanita A. Murray, Christopher J.L. Vos, Theo |
author_facet | Liu, Xiaoxue Wang, Fang Yu, Chuanhua Zhou, Maigeng Yu, Yong Qi, Jinlei Yin, Peng Yu, Shicheng Zhou, Yuchang Lin, Lin Liu, Yunning Wang, Qiqi Zhong, Wenling Huang, Shaofen Li, Yanxia Liu, Li Liu, Yuan Ma, Fang Zhang, Yine Tian, Yuan Yu, Qiuli Zeng, Jing Pan, Jingju Zhou, Mengge Kang, Weiwei Zhou, Jin-Yi Yu, Hao Liu, Yuehua Li, Shaofang Yu, Huiting Wang, Chunfang Xia, Tian Xi, Jinen Ren, Xiaolan Xing, Xiuya Cheng, Qianyao Fei, Fangrong Wang, Dezheng Zhang, Shuang He, Yuling Wen, Haoyu Liu, Yan Shi, Fang Wang, Yafeng Sun, Panglin Bai, Jianjun Wang, Xuyan Shen, Hui Ma, Yudiyang Yang, Donghui Mubarik, Sumaira Cao, Jinhong Meng, Runtang Zhang, Yunquan Guo, Yan Yan, Yaqiong Zhang, Wei Ke, Sisi Zhang, Runhua Wang, Dingyi Zhang, Tingting Nomura, Shuhei Hay, Simon I. Salomon, Joshua A. Haagsma, Juanita A. Murray, Christopher J.L. Vos, Theo |
author_sort | Liu, Xiaoxue |
collection | PubMed |
description | BACKGROUND: The disability weight (DW) quantifies the severity of health states from disease sequela and is a pivotal parameter for disease burden calculation. We conducted a national and subnational DW measurement in China. METHODS: In 2020–2021, we conducted a web-based survey to assess DWs for 206 health states in 31 Chinese provinces targeting health workers via professional networks. We fielded questions of paired comparison (PC) and population health equivalence (PHE). The PC data were analysed by probit regression analysis, and the regression results were anchored by results from the PHE responses on the DW scale between 0 (no loss of health) and 1 (health loss equivalent to death). FINDINGS: We used PC responses from 468,541 respondents to estimate DWs of health states. Eight of 11 domains of health had significantly negative coefficients in the regression of the difference between Chinese and Global Burden of Disease (GBD) DWs, suggesting lower DW values for health states with mention of these domains in their lay description. We noted considerable heterogeneity within domains, however. After applying these Chinese DWs to the 2019 GBD estimates for China, total years lived with disability (YLDs) increased by 14·9% to 177 million despite lower estimates for musculoskeletal disorders, cardiovascular diseases, mental disorders, diabetes and chronic kidney disease. The lower estimates of YLDs for these conditions were more than offset by higher estimates of common, low-severity conditions. INTERPRETATION: The differences between the GBD and Chinese DWs suggest that there might be some contextual factors influencing the valuation of health states. While the reduced estimates for mental disorders, alcohol use disorder, and dementia could hint at a culturally different valuation of these conditions in China, the much greater shifts in YLDs from low-severity conditions more likely reflects methodological difficulty to distinguish between health states that vary a little in absolute DW value but a lot in relative terms. FUNDING: This work was supported by the National Natural Science Foundation of China [grant number 82173626], the National Key Research and Development Program of China [grant numbers 2018YFC1315302], Wuhan Medical Research Program of Joint Fund of Hubei Health Committee [grant number WJ2019H304], and Ningxia Natural Science Foundation Project [grant number 2020AAC03436]. |
format | Online Article Text |
id | pubmed-9335373 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93353732022-07-30 Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study Liu, Xiaoxue Wang, Fang Yu, Chuanhua Zhou, Maigeng Yu, Yong Qi, Jinlei Yin, Peng Yu, Shicheng Zhou, Yuchang Lin, Lin Liu, Yunning Wang, Qiqi Zhong, Wenling Huang, Shaofen Li, Yanxia Liu, Li Liu, Yuan Ma, Fang Zhang, Yine Tian, Yuan Yu, Qiuli Zeng, Jing Pan, Jingju Zhou, Mengge Kang, Weiwei Zhou, Jin-Yi Yu, Hao Liu, Yuehua Li, Shaofang Yu, Huiting Wang, Chunfang Xia, Tian Xi, Jinen Ren, Xiaolan Xing, Xiuya Cheng, Qianyao Fei, Fangrong Wang, Dezheng Zhang, Shuang He, Yuling Wen, Haoyu Liu, Yan Shi, Fang Wang, Yafeng Sun, Panglin Bai, Jianjun Wang, Xuyan Shen, Hui Ma, Yudiyang Yang, Donghui Mubarik, Sumaira Cao, Jinhong Meng, Runtang Zhang, Yunquan Guo, Yan Yan, Yaqiong Zhang, Wei Ke, Sisi Zhang, Runhua Wang, Dingyi Zhang, Tingting Nomura, Shuhei Hay, Simon I. Salomon, Joshua A. Haagsma, Juanita A. Murray, Christopher J.L. Vos, Theo Lancet Reg Health West Pac Articles BACKGROUND: The disability weight (DW) quantifies the severity of health states from disease sequela and is a pivotal parameter for disease burden calculation. We conducted a national and subnational DW measurement in China. METHODS: In 2020–2021, we conducted a web-based survey to assess DWs for 206 health states in 31 Chinese provinces targeting health workers via professional networks. We fielded questions of paired comparison (PC) and population health equivalence (PHE). The PC data were analysed by probit regression analysis, and the regression results were anchored by results from the PHE responses on the DW scale between 0 (no loss of health) and 1 (health loss equivalent to death). FINDINGS: We used PC responses from 468,541 respondents to estimate DWs of health states. Eight of 11 domains of health had significantly negative coefficients in the regression of the difference between Chinese and Global Burden of Disease (GBD) DWs, suggesting lower DW values for health states with mention of these domains in their lay description. We noted considerable heterogeneity within domains, however. After applying these Chinese DWs to the 2019 GBD estimates for China, total years lived with disability (YLDs) increased by 14·9% to 177 million despite lower estimates for musculoskeletal disorders, cardiovascular diseases, mental disorders, diabetes and chronic kidney disease. The lower estimates of YLDs for these conditions were more than offset by higher estimates of common, low-severity conditions. INTERPRETATION: The differences between the GBD and Chinese DWs suggest that there might be some contextual factors influencing the valuation of health states. While the reduced estimates for mental disorders, alcohol use disorder, and dementia could hint at a culturally different valuation of these conditions in China, the much greater shifts in YLDs from low-severity conditions more likely reflects methodological difficulty to distinguish between health states that vary a little in absolute DW value but a lot in relative terms. FUNDING: This work was supported by the National Natural Science Foundation of China [grant number 82173626], the National Key Research and Development Program of China [grant numbers 2018YFC1315302], Wuhan Medical Research Program of Joint Fund of Hubei Health Committee [grant number WJ2019H304], and Ningxia Natural Science Foundation Project [grant number 2020AAC03436]. Elsevier 2022-07-26 /pmc/articles/PMC9335373/ /pubmed/35910433 http://dx.doi.org/10.1016/j.lanwpc.2022.100520 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Articles Liu, Xiaoxue Wang, Fang Yu, Chuanhua Zhou, Maigeng Yu, Yong Qi, Jinlei Yin, Peng Yu, Shicheng Zhou, Yuchang Lin, Lin Liu, Yunning Wang, Qiqi Zhong, Wenling Huang, Shaofen Li, Yanxia Liu, Li Liu, Yuan Ma, Fang Zhang, Yine Tian, Yuan Yu, Qiuli Zeng, Jing Pan, Jingju Zhou, Mengge Kang, Weiwei Zhou, Jin-Yi Yu, Hao Liu, Yuehua Li, Shaofang Yu, Huiting Wang, Chunfang Xia, Tian Xi, Jinen Ren, Xiaolan Xing, Xiuya Cheng, Qianyao Fei, Fangrong Wang, Dezheng Zhang, Shuang He, Yuling Wen, Haoyu Liu, Yan Shi, Fang Wang, Yafeng Sun, Panglin Bai, Jianjun Wang, Xuyan Shen, Hui Ma, Yudiyang Yang, Donghui Mubarik, Sumaira Cao, Jinhong Meng, Runtang Zhang, Yunquan Guo, Yan Yan, Yaqiong Zhang, Wei Ke, Sisi Zhang, Runhua Wang, Dingyi Zhang, Tingting Nomura, Shuhei Hay, Simon I. Salomon, Joshua A. Haagsma, Juanita A. Murray, Christopher J.L. Vos, Theo Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study |
title | Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study |
title_full | Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study |
title_fullStr | Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study |
title_full_unstemmed | Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study |
title_short | Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study |
title_sort | eliciting national and subnational sets of disability weights in mainland china: findings from the chinese disability weight measurement study |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335373/ https://www.ncbi.nlm.nih.gov/pubmed/35910433 http://dx.doi.org/10.1016/j.lanwpc.2022.100520 |
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