The impact of smoking on annual healthcare cost: an econometric model analysis in China, 2015

BMC Health Serv Res. 2021 Feb 28;21(1):187. doi: 10.1186/s12913-021-06199-5.

Abstract

Background: Smoking exerts substantial medical burdens on society. Precise estimation of the smoking-attributable medical expenditures (SAME) helps to inform tobacco control policy makers. Based on the epidemiological approach, prior studies in China only focused on a few smoking-related diseases to estimate SAME. In contrast, this study used the econometric approach, which is capable of capturing all of the potential costs.

Methods: Three waves of panel data from the 2011-2015 national China Health and Retirement Longitudinal Study (CHARLS) were used. A total of 34,503 observations aged 45 and above were identified. Estimates from econometric models were combined to predict the smoking-attributable fraction (SAF) and medical expenditures attributable to smoking by sex, registered residency and healthcare service categories. All monetary amounts were adjusted to 2015 dollars.

Results: In 2015, the overall smoking-attributable fraction (SAF) of China was 10.97%, ranging from 5.77% for self-medication to 16.87% for inpatient visits. The smoking-attributable medical expenditure (SAME) was about $45.28 billion, accounting for 7.24% of the total health expenditure. The SAME was $226.77 per smoker aged 45 and above. The regression results suggest that being a former smoker has the greatest impact, which decreases over time after quitting however, on the value of medical expenditures.

Conclusions: Smoking-attributable medical expenditures was substantial and placed a heavy burden on Chinese society. Comprehensive tobacco control policies and regulations are still needed to promote progress toward curbing the tobacco related losses.

Keywords: China; Econometric approach; Medical expenditures; Smoking.

MeSH terms

  • China / epidemiology
  • Health Care Costs*
  • Health Expenditures
  • Humans
  • Longitudinal Studies
  • Middle Aged
  • Models, Econometric
  • Smoking* / epidemiology