Ambient PM<sub>2.5</sub>exposure and hospital cost and length of hospital stay for respiratory diseases in 11 cities in Shanxi Province, China
Dawei Cao, Dongyan Li, Yinglin Wu, Zhengmin Qian, Yi Liu, Qiyong Liu, Jimin Sun, Yuming Guo, Shiyu Zhang, Guangyuan Jiao, Xiaoran Yang, Chongjian Wang, Stephen Edward McMillin, Xinri Zhang, Hualiang Lin
Abstract
Background Few studies have examined the effects of ambient particulate matter with an aerodynamic diameter less than or equal to 2.5 μm (PM 2.5 ) on hospital cost and length of hospital stay for respiratory diseases in China. Methods We estimated ambient air pollution exposure for respiratory cases through inverse distance-weighted averages of air monitoring stations based on their residential address and averaged at the city level. We used generalised additive models to quantify city-specific associations in 11 cities in Shanxi and a meta-analysis to estimate the overall effects. We further estimated respiratory burden attributable to PM 2.5 using the standards of WHO (25 µg/m 3 ) and China (75 µg/m 3 ) as reference. Results Each 10 µg/m 3 increase in lag 03 PM 2.5 corresponded to 0.53% (95% CI: 0.33% to 0.73%) increase in respiratory hospitalisation, an increment of 3.75 thousand RMB (95% CI: 1.84 to 5.670) in hospital cost and 4.13 days (95% CI: 2.51 to 5.75) in length of hospital stay. About 9.7 thousand respiratory hospitalisations, 132 million RMB in hospital cost and 145 thousand days of hospital stay could be attributable to PM 2.5 exposures using WHO’s guideline as reference. We estimated that 193 RMB (95% CI: 95 to 292) in hospital cost and 0.21 days (95% CI: 0.13 to 0.30) in hospital stay could be potentially avoidable for an average respiratory case. Conclusion Significant respiratory burden could be attributable to PM 2.5 exposures in Shanxi Province, China. The results need to be factored into impact assessment of air pollution policies to provide a more complete indication of the burden addressed by the policies.