OP366 Characterizing The Population At Risk Of Chronic Obstructive Pulmonary Disease In China Using A Real-World Population Survey. (December 2020)

• Record Type: Journal Article
• Authors: Koch, Marco; Butt, Thomas; Guo, Wudong; Li, Xue; Chen, Yirong; Tan, Diana; Liu, Gordon G.
• Is Part Of: International journal of technology assessment in health care. Volume 36(2020)Supplement 1
• Page Start: 7
• Page End: 7
• Publication Date: 2020-12
• Subjects: Medical technology -- Periodicals; Technology assessment -- Periodicals; 610.28
• DOI: 10.1017/S026646232000104X
• Languages: English
• ISSNs: 0266-4623

Abstract

Abstract : Introduction: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality in China. However, early identification of patients with COPD in the community is challenging. This study used a real-world survey of the Chinese urban adult population to estimate the prevalence of COPD diagnosis or COPD-risk, examine the health outcomes and healthcare resource use of these groups, and investigate the sociodemographic factors associated with these statuses. Methods: Respondents to the 2017 National Health and Wellness Survey in China (n = 19, 994) were classified into: COPD (diagnosed), COPD-risk (undiagnosed), and control (undiagnosed, not at-risk) using their self-reported diagnosis and Lung Function Questionnaire (LFQ) score. These groups were compared by healthcare resource use and health outcomes (EuroQol [EQ-5D] and Work Productivity and Activity Impairment questionnaires). Factors associated with being in these groups were investigated using pairwise comparisons (t-tests and chi-square tests) and multivariable logistic regression. Results: In total, 3, 320 respondents (16.6%) had a suspected risk of COPD but did not report receiving a diagnosis. This was projected to 105.3 million people (16.9% of urban adults). Relative to the controls, COPD-risk and COPD-diagnosed respondents had higher healthcare resource use, lower productivity, and lower health-related quality of life (HRQoL) (p < 0.05). Age, smoking, alcohol consumption, weight, exercise, comorbidities, gender, education, employment, and air pollution were associated with increased odds of COPD-risk relative to the controls (p < 0.05). Conclusions: A substantial group of individuals, undiagnosed, but with a risk of COPD, have impaired HRQoL, lower productivity, and elevated healthcare resource use. A range of sociodemographic factors are predictive of COPD risk, which may support targeted screening. Case-detection tools such as the LFQ may offer a convenient approach for identifying individuals for further definitive testing and appropriate treatment in China.