4.7 Article

Opt-out policy and its improvements promote COVID-19 vaccinations

期刊

SOCIAL SCIENCE & MEDICINE
卷 307, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.socscimed.2022.115120

关键词

COVID-19; Vaccination; Default nudge; Opt-in; Opt-out; Opt-out improvements

资金

  1. National Natural Science Foundation of China [71771209]
  2. Major Program of the National Social Science Foundation of China [19ZDA358]
  3. Project of the Mental Health and Social Governance Research Support Center, Academic Divisions of the Chinese Academy of Sciences (CASAD) [E1CX052003]

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Using default nudges, this study examines the effects of opt-out policy and its improvements on vaccination intention and attitude, as well as the differences across risk-perception groups. The results show that opt-out policy and its improvements increase intentions to be vaccinated, with the exception of opt-out transparency. Additionally, risk perception does not seem to vary as a function of defaults.
Rationale: Vaccination uptake is a major strategy to prevent infection with SARS-CoV-2 and curb the transmission of COVID-19. However, many people remain unwilling to receive the COVID-19 vaccine. Objective: Using default nudges, the present study examines (a) whether opt-out policy and its improvements could increase intention and attitude to get vaccinated and (b) whether these default effects differ across diverse risk-perception groups. Method: An online experiment with 1926 unvaccinated Chinese respondents was conducted in February 2021. We measured willingness to be vaccinated after informing opt-in policy, standard opt-out policy, and its five improvements (opt-out education, opt-out opportunity, opt-out social norm, opt-out feedback, and opt-out opportunity). Risk perception of the pandemic of COVID-19 and vaccination were also measured. Results: (a) Opt-out policy and its improvement (except the opt-out transparency) increased intentions to be vaccinated. Policies with a vaccination default did not weaken people's attitude toward policy and policymakers compared with the opt-in policy, but participants in the transparent improvement group reported lower freedom of choice than those in the opt-out group. (b) Further latent profile analysis revealed four classes underlying risk perception: risk exaggerators, risk deniers, disease-specific risk perceivers, and vaccine-specific risk perceivers. But there was no conclusive evidence that the effect of risk perception differs as a function of defaults. Conclusions: These findings provide new psychological evidence for formulating more targeted vaccination policies and highlight the importance of risk perception to understand vaccination intentions.

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