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Parental Preferences of Influenza Vaccination for Children in China: A National Survey with a Discrete Choice Experiment

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  • Minghuan Jiang

    (Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, Xi’an 710061, China
    Center for Drug Safety and Policy Research, Xi’an Jiaotong University, Xi’an 710061, China
    Shaanxi Center for Health Reform and Development Research, Xi’an 710061, China
    Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi’an 712000, China)

  • Yilin Gong

    (Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, Xi’an 710061, China
    Center for Drug Safety and Policy Research, Xi’an Jiaotong University, Xi’an 710061, China
    Shaanxi Center for Health Reform and Development Research, Xi’an 710061, China
    Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi’an 712000, China)

  • Yu Fang

    (Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, Xi’an 710061, China
    Center for Drug Safety and Policy Research, Xi’an Jiaotong University, Xi’an 710061, China
    Shaanxi Center for Health Reform and Development Research, Xi’an 710061, China
    Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi’an 712000, China)

  • Xuelin Yao

    (Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, Xi’an 710061, China
    Center for Drug Safety and Policy Research, Xi’an Jiaotong University, Xi’an 710061, China
    Shaanxi Center for Health Reform and Development Research, Xi’an 710061, China
    Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi’an 712000, China)

  • Liuxin Feng

    (Department of Pharmacy, The Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an 710004, China)

  • Shan Zhu

    (Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, Xi’an 710061, China
    Center for Drug Safety and Policy Research, Xi’an Jiaotong University, Xi’an 710061, China
    Shaanxi Center for Health Reform and Development Research, Xi’an 710061, China
    Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi’an 712000, China)

  • Jin Peng

    (Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmacy, Xi’an Jiaotong University, Xi’an 710061, China
    Center for Drug Safety and Policy Research, Xi’an Jiaotong University, Xi’an 710061, China
    Shaanxi Center for Health Reform and Development Research, Xi’an 710061, China
    Research Institute for Drug Safety and Monitoring, Institute of Pharmaceutical Science and Technology, Western China Science & Technology Innovation Harbor, Xi’an 712000, China)

  • Xinke Shi

    (Health Science Center, Xi’an Jiaotong University, Xi’an 710061, China)

Abstract

The influenza vaccination coverage among children is low in China. We aimed to conduct a nationwide survey to quantify parental preferences and willingness to pay (WTP) for influenza vaccination for their children. Parents with children aged six months to 18 years from six provinces in China were investigated by a discrete choice experiment regarding six influenza vaccination attributes. Mixed logit models were used to estimate the relative importance of vaccine attributes and parents’ WTP. Interaction analysis and subgroup analysis were conducted to explore preference heterogeneity. A total of 1206 parents were included in the analysis. Parents reported vaccine effectiveness as the most important vaccine attribute. The mode of vaccine administration had no significant impact on parents’ preferences. Parents aged over 30 years with higher education or income levels were more likely to prefer no influenza vaccination for their children. The largest marginal WTP (CNY 802.57) for vaccination and the largest increase in vaccine uptake (41.85%) occurred with improved vaccine effectiveness from 30% to 80%. Parents from central regions or mid-latitude areas had a relatively lower WTP than those from other regions. No significant difference in the relative importance of vaccine attributes were observed among parents from various regions of China.

Suggested Citation

  • Minghuan Jiang & Yilin Gong & Yu Fang & Xuelin Yao & Liuxin Feng & Shan Zhu & Jin Peng & Xinke Shi, 2022. "Parental Preferences of Influenza Vaccination for Children in China: A National Survey with a Discrete Choice Experiment," IJERPH, MDPI, vol. 19(4), pages 1-14, February.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:4:p:2145-:d:749264
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    References listed on IDEAS

    as
    1. Emily Lancsar & Jordan Louviere, 2008. "Conducting Discrete Choice Experiments to Inform Healthcare Decision Making," PharmacoEconomics, Springer, vol. 26(8), pages 661-677, August.
    2. Esther Bekker-Grob & Bas Donkers & Marcel Jonker & Elly Stolk, 2015. "Sample Size Requirements for Discrete-Choice Experiments in Healthcare: a Practical Guide," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 8(5), pages 373-384, October.
    3. Christine Michaels-Igbokwe & Shannon MacDonald & Gillian R. Currie, 2017. "Individual Preferences for Child and Adolescent Vaccine Attributes: A Systematic Review of the Stated Preference Literature," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 10(6), pages 687-700, December.
    4. Oliver Damm & Martin Eichner & Markus Rose & Markus Knuf & Peter Wutzler & Johannes Liese & Hagen Krüger & Wolfgang Greiner, 2015. "Public health impact and cost-effectiveness of intranasal live attenuated influenza vaccination of children in Germany," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(5), pages 471-488, June.
    5. Lei Zhou & Sujian Situ & Zijian Feng & Charisma Y Atkins & Isaac Chun-Hai Fung & Zhen Xu & Ting Huang & Shixiong Hu & Xianjun Wang & Martin I Meltzer, 2014. "Cost-Effectiveness of Alternative Strategies for Annual Influenza Vaccination among Children Aged 6 Months to 14 Years in Four Provinces in China," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-9, January.
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