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The Economic Burden of Influenza-Like Illness among Children, Chronic Disease Patients, and the Elderly in China: A National Cross-Sectional Survey

Author

Listed:
  • Xiaozhen Lai

    (School of Public Health, Peking University, Beijing 100083, China
    China Center for Health Development Studies, Peking University, Beijing 100083, China)

  • Hongguo Rong

    (China Center for Health Development Studies, Peking University, Beijing 100083, China
    Institute for Excellence in Evidence-Based Chinese Medicine, Beijing University of Chinese Medicine, Beijing 100029, China)

  • Xiaochen Ma

    (China Center for Health Development Studies, Peking University, Beijing 100083, China)

  • Zhiyuan Hou

    (School of Public Health, Fudan University, Shanghai 200032, China)

  • Shunping Li

    (School of Health Care Management, Cheeloo College of Medicine, Shandong University, Jinan 250012, China
    NHC Key Laboratory of Health Economics and Policy Research (Shandong University), Jinan 250012, China)

  • Rize Jing

    (School of Public Health, Peking University, Beijing 100083, China
    China Center for Health Development Studies, Peking University, Beijing 100083, China)

  • Haijun Zhang

    (School of Public Health, Peking University, Beijing 100083, China
    China Center for Health Development Studies, Peking University, Beijing 100083, China)

  • Yun Lyu

    (School of Public Health, Peking University, Beijing 100083, China
    China Center for Health Development Studies, Peking University, Beijing 100083, China)

  • Jiahao Wang

    (School of Public Health, Peking University, Beijing 100083, China
    China Center for Health Development Studies, Peking University, Beijing 100083, China)

  • Huangyufei Feng

    (School of Public Health, Peking University, Beijing 100083, China
    China Center for Health Development Studies, Peking University, Beijing 100083, China)

  • Zhibin Peng

    (Division of Infectious Diseases, Chinese Center for Disease Control and Prevention, Beijing 102206, China)

  • Luzhao Feng

    (School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China)

  • Hai Fang

    (China Center for Health Development Studies, Peking University, Beijing 100083, China
    Peking University Health Science Center—Chinese Center for Disease Control and Prevention Joint Center for Vaccine Economics, Peking University, Beijing 100083, China
    Key Laboratory of Reproductive Health, National Health Commission of the People’s Republic of China, Beijing 100083, China)

Abstract

Background: The disease burden of seasonal influenza is substantial in China, while there is still a lack of nationwide economic burden estimates. This study aims to examine influenza-like illness (ILI) prevalence, healthcare-seeking behaviors, economic impact of ILI, and its influencing factors among three priority groups during the 2018–19 influenza season. Methods: From August to October 2019, 6668 children’s caregivers, 1735 chronic disease patients, and 3849 elderly people were recruited from 10 provinces in China to participate in an on-site survey. The economic burden of ILI consisted of direct (medical or non-medical) and indirect burdens, and a two-part model was adopted to predict the influencing factors of total economic burden. Results: There were 45.73% children, 16.77% chronic disease patients, and 12.70% elderly people reporting ILI, and most participants chose outpatient service or over-the-counter (OTC) medication after ILI. The average economic burden was CNY 1647 (USD 237.2) for children, CNY 951 (USD 136.9) for chronic disease patients, and CNY 1796 (USD 258.6) for the elderly. Two-part regression showed that age, gender, whether the only child in the family, region, and household income were important predictors of ILI economic burden among children, while age, region, place of residence, basic health insurance, and household income were significant predictors of ILI economic burden among chronic disease patients and the elderly. Conclusions: A large economic burden of ILI was highlighted, especially among the elderly with less income and larger medical burdens, as well as children, with higher prevalence and higher self-payment ratio. It is important to adopt targeted interventions for high-risk groups, and this study can help national-level decision-making on the introduction of influenza vaccination as a public health project.

Suggested Citation

  • Xiaozhen Lai & Hongguo Rong & Xiaochen Ma & Zhiyuan Hou & Shunping Li & Rize Jing & Haijun Zhang & Yun Lyu & Jiahao Wang & Huangyufei Feng & Zhibin Peng & Luzhao Feng & Hai Fang, 2021. "The Economic Burden of Influenza-Like Illness among Children, Chronic Disease Patients, and the Elderly in China: A National Cross-Sectional Survey," IJERPH, MDPI, vol. 18(12), pages 1-16, June.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:12:p:6277-:d:572341
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    References listed on IDEAS

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    1. Ru-ning Guo & Hui-zhen Zheng & Li-qun Huang & Yong Zhou & Xin Zhang & Chan-kun Liang & Jin-yan Lin & Jian-feng He & Jin-qing Zhang, 2012. "Epidemiologic and Economic Burden of Influenza in the Outpatient Setting: A Prospective Study in a Subtropical Area of China," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-7, July.
    2. Silvia Helena Barcellos & Leandro S. Carvalho & Adriana Lleras-Muney, 2014. "Child Gender and Parental Investments in India: Are Boys and Girls Treated Differently?," American Economic Journal: Applied Economics, American Economic Association, vol. 6(1), pages 157-189, January.
    3. Lei Zhou & Sujian Situ & Ting Huang & Shixiong Hu & Xianjun Wang & Xiaoping Zhu & Lidong Gao & Zhong Li & Ao Feng & Hui Jin & Shiyuan Wang & Qiru Su & Zhen Xu & Zijian Feng, 2013. "Direct Medical Cost of Influenza-Related Hospitalizations among Severe Acute Respiratory Infections Cases in Three Provinces in China," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-6, May.
    4. Cragg, John G, 1971. "Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods," Econometrica, Econometric Society, vol. 39(5), pages 829-844, September.
    5. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    6. Dan Wang & Tao Zhang & Jing Wu & Yanwei Jiang & Yunfang Ding & Jun Hua & Ying Li & Jun Zhang & Liling Chen & Zijian Feng & Danielle Iuliano & Jeffrey McFarland & Genming Zhao, 2013. "Socio-Economic Burden of Influenza among Children Younger than 5 Years in the Outpatient Setting in Suzhou, China," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-9, August.
    7. Busch, Susan H. & Duchovny, Noelia, 2005. "Family coverage expansions: Impact on insurance coverage and health care utilization of parents," Journal of Health Economics, Elsevier, vol. 24(5), pages 876-890, September.
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