Author
Listed:
- Enxue Chang
(Harbin Medical University)
- Yanni Jia
(Harbin Medical University)
- Xiaoying Zhu
(Nanjing University of Chinese Medicine
The University of Melbourne)
- Lunan Wang
(Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology
Beijing Engineering Research Center of Laboratory Medicine)
- Ying Yan
(Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology
Beijing Engineering Research Center of Laboratory Medicine)
- Kejun Liu
(National Health Development Research Center)
- Weidong Huang
(Harbin Medical University)
Abstract
Objectives Little is known about the diversity of residents' preferences for COVID-19 vaccines during the time when COVID-19 management was downgraded in China. This study aims to investigate these preferences using discrete choice experiment (DCE) and profile case best–worst scaling (BWS-2), and to assess the concordance between these two methods. Methods Chinese residents recruited for the online survey were asked to evaluate COVID-19 vaccine profiles through both DCE and BWS-2 from April to July 2023. Attributes included effectiveness, duration of protection, risk of severe adverse events (degree), the total out-of-pocket (OOP) cost, brand, and the vaccination method. We utilized conditional regression and mixed logit regression models to estimate the preference levels for potential attributes. To assess preference concordance between the two methods, re-scaling and the Spearman correlation test were used. Additionally, subgroup analysis was conducted to determine the most suitable method for different population groups, categorized by vaccine hesitancy and risk level. Results A total of 438 (71.22%) respondents were included. A similar pattern was found in the DCE and BWS-2 methods, with the respondents having a strong preference for 90% vaccine effectiveness. However, the methods diverged in other preferences; DCE favored domestic brands and low severe adverse event risk, while BWS-2 preferred moderate risk and three years of protection. Concordance assessment, including Spearman's correlation and linear regression, showed no significant correlation and poor concordance between the methods, underscoring these differences. Preference heterogeneity is revealed among different groups; however, effectiveness remained the most important attribute for all subgroups of the population. Oral vaccination was the preferred option for both the vaccine-hesitant and high-risk groups. Conclusion This study offers new insights into the varying preferences for COVID-19 vaccines among Chinese residents following the downgrading of pandemic management measures. The findings underscore the need for diverse strategies in vaccine policy design. Special emphasis should be placed on vaccine attributes that align with public priorities, such as high effectiveness and low risk levels, to enhance vaccine uptake.
Suggested Citation
Enxue Chang & Yanni Jia & Xiaoying Zhu & Lunan Wang & Ying Yan & Kejun Liu & Weidong Huang, 2025.
"COVID-19 Vaccine Preferences in China: A Comparison of Discrete Choice Experiment and Profile Case Best–Worst Scaling,"
PharmacoEconomics - Open, Springer, vol. 9(3), pages 399-413, May.
Handle:
RePEc:spr:pharmo:v:9:y:2025:i:3:d:10.1007_s41669-025-00559-1
DOI: 10.1007/s41669-025-00559-1
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:pharmo:v:9:y:2025:i:3:d:10.1007_s41669-025-00559-1. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.