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

Content Provider	Springer Nature : BioMed Central
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
Abstract	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.
Related Links	https://pophealthmetrics.biomedcentral.com/counter/pdf/10.1186/s12963-023-00304-y.pdf
Ending Page	14
Page Count	14
Starting Page	1
File Format	HTM / HTML
ISSN	14787954
DOI	10.1186/s12963-023-00304-y
Journal	Population Health Metrics
Issue Number	1
Volume Number	21
Language	English
Publisher	BioMed Central
Publisher Date	2023-05-04
Access Restriction	Open
Subject Keyword	Public Health Epidemiology Research Methodology Health Services Research Disability weight Disease burden Sequela Health state Paired comparison
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health Epidemiology
Journal Impact Factor	3.2/2023
5-Year Journal Impact Factor	3.3/2023

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