Literature DB >> 25542739

Economic burden and cost determinants of coronary heart disease in rural southwest China: a multilevel analysis.

C Le1, Y Fang2, W Linxiong3, Z Shulan4, A R Golden5.   

Abstract

OBJECTIVES: To estimate the economic burden of coronary heart disease (CHD) in a given year (2010), including direct and indirect costs, and examine the impact of contextual and individual socio-economic (SES) predictors on the costs of CHD among adults in rural southwest China. STUDY
DESIGN: Cross-sectional community survey.
METHODS: In total, 4595 adults (aged ≥18 years) participated in this study. A prevalence-based cost-of-illness approach was used to estimate the economic burden of CHD. Information on demographic characteristics of the study population and the economic consequences of CHD was obtained using a standard questionnaire. Multilevel linear regression was used to model the variation in costs of CHD.
RESULTS: In the study population, the overall prevalence of CHD was 2.9% (3.5% for males, 2.3% for females). The total cost of CHD was estimated to be US$17 million. Inpatient hospitalizations represented the main component of direct costs of CHD, and direct costs accounted for the greatest proportion of the economic burden of CHD. Males were more likely to have a higher economic burden of CHD than females. A positive association was found between the individual's level of education and the economic burden of CHD. Residence in a higher-income community was associated with higher costs related to CHD.
CONCLUSIONS: This study found that both contextual and individual SES were closely associated with the costs of CHD. Future strategies for CHD interventions and improved access to affordable medications to treat and control CHD should focus on less-educated individuals and communities with lower SES.
Copyright © 2014 The Royal Society for Public Health. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  China; Contextual effect; Coronary heart disease; Economic burden

Mesh:

Year:  2014        PMID: 25542739     DOI: 10.1016/j.puhe.2014.11.002

Source DB:  PubMed          Journal:  Public Health        ISSN: 0033-3506            Impact factor:   2.427


  6 in total

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