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Dataset Information

Economic costs attributable to modifiable risk factors: an analysis of 24 million urban residents in China.


ABSTRACT:

Background

Estimating the economic burden of modifiable risk factors is crucial for allocating scarce healthcare resources to improve population health. We quantified the economic burden attributable to modifiable risk factors in an urban area of China.

Methods

Our Shanghai Municipal Health Commission dataset covered 2.2 million inpatient admissions for adults (age ≥ 20) in public and private hospitals in 2015 (1,327,187 admissions) and 2020 (837,482 admissions). We used a prevalence-based cost-of-illness approach by applying population attributable fraction (PAF) estimates for each modifiable risk factor from the Global Burden of Diseases Study (GBD) to estimate attributable costs. We adopted a societal perspective for cost estimates, comprising direct healthcare costs and

SUBMITTER: Xiong X 

PROVIDER: S-EPMC11580671 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature