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Disability weight measurement for the severity of different diseases in Wuhan, China

BACKGROUND: Measurement of the Chinese burden of disease with disability-adjusted life-years (DALYs) requires disability weight (DW) that quantify health losses for all non-fatal consequences of disease and injury. The Global Burden of Disease (GBD) 2013 DW study indicates that it is limited by lack...

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Autores principales: Liu, Xiaoxue, Guo, Yan, Wang, Fang, Yu, Yong, Yan, Yaqiong, Wen, Haoyu, Shi, Fang, Wang, Yafeng, Wang, Xuyan, Shen, Hui, Li, Shiyang, Gong, Yanyun, Ke, Sisi, Zhang, Wei, Jin, Qiman, Zhang, Gang, Wu, Yu, Zhou, Maigeng, Yu, Chuanhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157574/
https://www.ncbi.nlm.nih.gov/pubmed/37143047
http://dx.doi.org/10.1186/s12963-023-00304-y
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author Liu, Xiaoxue
Guo, Yan
Wang, Fang
Yu, Yong
Yan, Yaqiong
Wen, Haoyu
Shi, Fang
Wang, Yafeng
Wang, Xuyan
Shen, Hui
Li, Shiyang
Gong, Yanyun
Ke, Sisi
Zhang, Wei
Jin, Qiman
Zhang, Gang
Wu, Yu
Zhou, Maigeng
Yu, Chuanhua
author_facet Liu, Xiaoxue
Guo, Yan
Wang, Fang
Yu, Yong
Yan, Yaqiong
Wen, Haoyu
Shi, Fang
Wang, Yafeng
Wang, Xuyan
Shen, Hui
Li, Shiyang
Gong, Yanyun
Ke, Sisi
Zhang, Wei
Jin, Qiman
Zhang, Gang
Wu, Yu
Zhou, Maigeng
Yu, Chuanhua
author_sort Liu, Xiaoxue
collection PubMed
description BACKGROUND: Measurement of the Chinese burden of disease with disability-adjusted life-years (DALYs) requires disability weight (DW) that quantify health losses for all non-fatal consequences of disease and injury. The Global Burden of Disease (GBD) 2013 DW study indicates that it is limited by lack of geographic variation in DW data and by the current measurement methodology. We aim to estimate DW for a set of health states from major diseases in the Wuhan population. METHODS: We conducted the DW measurement study for 206 health states through a household survey with computer-assisted face-to-face interviews and a web-based survey. Based on GBD 2013 DW study, paired comparison (PC) and Population health equivalence (PHE) method was used and different PC/PHE questions were randomly assigned to each respondent. In statistical analysis, the PC data was analyzed by probit regression. The probit regression results will be anchored by results from the PHE data analyzed by interval regression on the DW scale units between 0 (no loss of health) and 1 (loss equivalent to death). RESULTS: A total of 2610 and 3140 individuals were included in the household and web-based survey, respectively. The results from the total pooled data showed health state “mild anemia” (DW = 0.005, 95% UI 0.000–0.027) or “allergic rhinitis (hay fever)” (0.005, 95% UI 0.000–0.029) had the lowest DW and “heroin and other opioid dependence, severe” had the highest DW (0.699, 95% UI 0.579–0.827). A high correlation coefficient (Pearson’s r = 0.876; P < 0.001) for DWs of same health states was observed between Wuhan’s survey and GBD 2013 DW survey. Health states referred to mental symptom, fatigue, and the residual category of other physical symptoms were statistically significantly associated with a lower Wuhan’s DWs than the GBD’s DWs. Health states with disfigurement and substance use symptom had a higher DW in Wuhan population than the GBD 2013 study. CONCLUSIONS: This set of DWs could be used to calculate local diseases burden for health policy-decision in Wuhan population. The DW differences between the GBD’s survey and Wuhan’s survey suggest that there might be some contextual or culture factors influencing assessment on the severity of diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-023-00304-y.
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spelling pubmed-101575742023-05-05 Disability weight measurement for the severity of different diseases in Wuhan, China Liu, Xiaoxue Guo, Yan Wang, Fang Yu, Yong Yan, Yaqiong Wen, Haoyu Shi, Fang Wang, Yafeng Wang, Xuyan Shen, Hui Li, Shiyang Gong, Yanyun Ke, Sisi Zhang, Wei Jin, Qiman Zhang, Gang Wu, Yu Zhou, Maigeng Yu, Chuanhua Popul Health Metr Research BACKGROUND: Measurement of the Chinese burden of disease with disability-adjusted life-years (DALYs) requires disability weight (DW) that quantify health losses for all non-fatal consequences of disease and injury. The Global Burden of Disease (GBD) 2013 DW study indicates that it is limited by lack of geographic variation in DW data and by the current measurement methodology. We aim to estimate DW for a set of health states from major diseases in the Wuhan population. METHODS: We conducted the DW measurement study for 206 health states through a household survey with computer-assisted face-to-face interviews and a web-based survey. Based on GBD 2013 DW study, paired comparison (PC) and Population health equivalence (PHE) method was used and different PC/PHE questions were randomly assigned to each respondent. In statistical analysis, the PC data was analyzed by probit regression. The probit regression results will be anchored by results from the PHE data analyzed by interval regression on the DW scale units between 0 (no loss of health) and 1 (loss equivalent to death). RESULTS: A total of 2610 and 3140 individuals were included in the household and web-based survey, respectively. The results from the total pooled data showed health state “mild anemia” (DW = 0.005, 95% UI 0.000–0.027) or “allergic rhinitis (hay fever)” (0.005, 95% UI 0.000–0.029) had the lowest DW and “heroin and other opioid dependence, severe” had the highest DW (0.699, 95% UI 0.579–0.827). A high correlation coefficient (Pearson’s r = 0.876; P < 0.001) for DWs of same health states was observed between Wuhan’s survey and GBD 2013 DW survey. Health states referred to mental symptom, fatigue, and the residual category of other physical symptoms were statistically significantly associated with a lower Wuhan’s DWs than the GBD’s DWs. Health states with disfigurement and substance use symptom had a higher DW in Wuhan population than the GBD 2013 study. CONCLUSIONS: This set of DWs could be used to calculate local diseases burden for health policy-decision in Wuhan population. The DW differences between the GBD’s survey and Wuhan’s survey suggest that there might be some contextual or culture factors influencing assessment on the severity of diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12963-023-00304-y. BioMed Central 2023-05-04 /pmc/articles/PMC10157574/ /pubmed/37143047 http://dx.doi.org/10.1186/s12963-023-00304-y 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
Liu, Xiaoxue
Guo, Yan
Wang, Fang
Yu, Yong
Yan, Yaqiong
Wen, Haoyu
Shi, Fang
Wang, Yafeng
Wang, Xuyan
Shen, Hui
Li, Shiyang
Gong, Yanyun
Ke, Sisi
Zhang, Wei
Jin, Qiman
Zhang, Gang
Wu, Yu
Zhou, Maigeng
Yu, Chuanhua
Disability weight measurement for the severity of different diseases in Wuhan, China
title Disability weight measurement for the severity of different diseases in Wuhan, China
title_full Disability weight measurement for the severity of different diseases in Wuhan, China
title_fullStr Disability weight measurement for the severity of different diseases in Wuhan, China
title_full_unstemmed Disability weight measurement for the severity of different diseases in Wuhan, China
title_short Disability weight measurement for the severity of different diseases in Wuhan, China
title_sort disability weight measurement for the severity of different diseases in wuhan, china
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10157574/
https://www.ncbi.nlm.nih.gov/pubmed/37143047
http://dx.doi.org/10.1186/s12963-023-00304-y
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