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Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study

Authors :
Xiaoxue Liu
Fang Wang
Chuanhua Yu
Maigeng Zhou
Yong Yu
Jinlei Qi
Peng Yin
Shicheng Yu
Yuchang Zhou
Lin Lin
Yunning Liu
Qiqi Wang
Wenling Zhong
Shaofen Huang
Yanxia Li
Li Liu
Yuan Liu
Fang Ma
Yine Zhang
Yuan Tian
Qiuli Yu
Jing Zeng
Jingju Pan
Mengge Zhou
Weiwei Kang
Jin-Yi Zhou
Hao Yu
Yuehua Liu
Shaofang Li
Huiting Yu
Chunfang Wang
Tian Xia
Jinen Xi
Xiaolan Ren
Xiuya Xing
Qianyao Cheng
Fangrong Fei
Dezheng Wang
Shuang Zhang
Yuling He
Haoyu Wen
Yan Liu
Fang Shi
Yafeng Wang
Panglin Sun
Jianjun Bai
Xuyan Wang
Hui Shen
Yudiyang Ma
Donghui Yang
Sumaira Mubarik
Jinhong Cao
Runtang Meng
Yunquan Zhang
Yan Guo
Yaqiong Yan
Wei Zhang
Sisi Ke
Runhua Zhang
Dingyi Wang
Tingting Zhang
Shuhei Nomura
Simon I. Hay
Joshua A. Salomon
Juanita A. Haagsma
Christopher J.L. Murray
Theo Vos
Source :
The Lancet Regional Health. Western Pacific, Vol 26, Iss , Pp 100520- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Summary: 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].

Details

Language :
English
ISSN :
26666065 and 20993137
Volume :
26
Issue :
100520-
Database :
Directory of Open Access Journals
Journal :
The Lancet Regional Health. Western Pacific
Publication Type :
Academic Journal
Accession number :
edsdoj.77f20993137c4e79ad85f83b66f1091d
Document Type :
article
Full Text :
https://doi.org/10.1016/j.lanwpc.2022.100520