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Association of outdoor air pollution with the medical expense of ischemic stroke: The case study of an industrial city in western China

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  • Siyu Zeng
  • Li luo
  • Fang Chen
  • Yue Li
  • Mei Chen
  • Xiaozhou He

Abstract

Ischemic stroke, the most frequent cause of severe disability, imposes a significant mental and economic burden on patients and their families. There is increasing evidence to indicate that air pollution contributes to the risk of ischemic stroke. This study aimed to examine the correlation between air pollution and the expense imposed by an ischemic stroke. Data were obtained from hospitals and environmental monitoring stations in an industry city, Longspring, in western China. We used a generalized additive model to estimate the associations between the two factors, measured during 2015–2017. Counter‐intuitively, the medical expenses arising from ischemia were negatively associated with the level of air pollution. The corresponding ER for per interquartile range increase of PM2.5, PM10, SO2, and NO2 in lag10 was −0.17% (95% confidence interval (95% CI −0.31%, −0.03%), −0.11% (95% CI −0.2%, −0.02%), −1.04% (95% CI −1.92%, −0.17%) and −0.44% (95% CI −0.66%, −0.22%), respectively (p

Suggested Citation

  • Siyu Zeng & Li luo & Fang Chen & Yue Li & Mei Chen & Xiaozhou He, 2021. "Association of outdoor air pollution with the medical expense of ischemic stroke: The case study of an industrial city in western China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(3), pages 715-728, May.
    • Handle: RePEc:bla:ijhplm:v:36:y:2021:i:3:p:715-728
    DOI: 10.1002/hpm.3115
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    References listed on IDEAS

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    1. Li Luo & Yuting Dai & Fengyi Zhang & Mei Chen & Fang Chen & Fang Qing, 2020. "Time series analysis of ambient air pollution effects on dynamic stroke mortality," International Journal of Health Planning and Management, Wiley Blackwell, vol. 35(1), pages 79-103, January.
    2. Daniel Gartner, 2014. "Machine Learning for Early DRG Classification," Lecture Notes in Economics and Mathematical Systems, in: Optimizing Hospital-wide Patient Scheduling, edition 127, chapter 0, pages 9-31, Springer.
    3. Roger D. Peng & Francesca Dominici & Thomas A. Louis, 2006. "Model choice in time series studies of air pollution and mortality," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 179-203, March.
    4. Yu Hao & Mingyuan Zhao & Zhi‐Nan Lu, 2019. "What is the health cost of haze pollution? Evidence from China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 34(4), pages 1290-1303, October.
    5. Burman, Prabir, 1990. "Estimation of generalized additive models," Journal of Multivariate Analysis, Elsevier, vol. 32(2), pages 230-255, February.
    6. Zhang, Junjie & Mu, Quan, 2018. "Air pollution and defensive expenditures: Evidence from particulate-filtering facemasks," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 517-536.
    7. Li Luo & Jing Ren & Fengyi Zhang & Wei Zhang & Chunyang Li & Zhixin Qiu & Debin Huang, 2018. "The effects of air pollution on length of hospital stay for adult patients with asthma," International Journal of Health Planning and Management, Wiley Blackwell, vol. 33(3), pages 751-767, July.
    8. Graham Moon, 1992. "Generalized Additive Models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 41(1), pages 219-220, March.
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