Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study
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Le résumé fourni par la source
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].
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Eliciting national and subnational sets of disability weights in mainland China: Findings from the Chinese disability weight measurement study
- Date Crossref
- 01/09/2022
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Wuhan University Hubei Province Key Laboratory of Occupational Hazard Identification and Control pays non établi dans la noticeUniversité ou école supérieure
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Wuhan Donghu University pays non établi dans la noticeUniversité ou école supérieure
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Xuzhou Medical College pays non établi dans la noticeUniversité ou école supérieure
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Hubei Provincial Center for Disease Control and Prevention pays non établi dans la noticeOrganisme public
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National Center for Chronic and Noncommunicable Disease Control and Prevention pays non établi dans la noticeOrganisme public
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Hubei University of Medicine pays non établi dans la noticeUniversité ou école supérieure
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Chinese Center For Disease Control and Prevention pays non établi dans la noticeOrganisme public
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Shandong University pays non établi dans la noticeUniversité ou école supérieure
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Hunan Provincial Center for Disease Control and Prevention pays non établi dans la noticeOrganisme public
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Heilongjiang Center for Tuberculosis Control and Prevention pays non établi dans la noticeÉtablissement de santé
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Shenyang Center for Disease Control and Prevention pays non établi dans la noticeOrganisme public
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Ningxia Center for Diseases Prevention and Control pays non établi dans la noticeOrganisme public
Hubei Province Key Laboratory of Occupational Hazard Identification and Control — Wuhan University, Wuhan Donghu University et Xuzhou Medical College, avec 9 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.