Cognitive distortions and deliberate ignorance lead to COVID-19 vaccine refusal, study says

New research uncovers how people’s biases and mental shortcuts fuel vaccine refusal, urging a rethink of public health messaging strategies.

Study: COVID-19 vaccine refusal is driven by deliberate ignorance and cognitive distortions. Image Credit: Nao Novoa / ShutterstockStudy: COVID-19 vaccine refusal is driven by deliberate ignorance and cognitive distortions. Image Credit: Nao Novoa / Shutterstock

In a recent study published in the journal NPJ Vaccines, researchers used data from 1,200 US participants with differing preexisting vaccination biases (anti-vaccination, neutral, or pro-vaccination attitudes) to investigate the associations between information presentation and vaccination willingness.

Their study discovered the widespread prevalence of 'deliberate ignorance,' the wilful avoidance of information about vaccines' side effects, benefits, and their respective probabilities, especially in participants with anti-vaccination attitudes. The study also employed sophisticated computational modeling to analyze how these cognitive biases influenced decision-making processes across different participant groups.

Notably, participants identified as belonging to the 'no deliberate ignorance' cohort (intensive scrutiny of provided vaccine information) were more likely to display vaccination willingness irrespective of belonging to 'neutral' or 'pro-vaccination' cohorts. All cohorts were observed to display probability neglect towards vaccine side effect probabilities. This modeling revealed that cognitive distortions, such as nonlinear probability weighting and loss aversion, further exacerbated vaccine refusal, particularly among anti-vaccination participants.

Together, these findings highlight the need for clinicians and policymakers to reevaluate their pro-vaccination campaigns and tailor their outcome presentations after considering their audiences' preconceived biases towards the vaccination process.

Background

Why do people refuse vaccines despite scientific and medical evidence supporting their benefits? This conundrum, termed 'vaccine hesitancy,' has been identified as one of the world's foremost global health threats (World Health Organization [WHO] 2019). Unfortunately, identifying a solution to vaccine hesitancy—a novel, engaging, and outcome-driven dissemination of scientific support for vaccination efforts—would require a sufficient understanding of how citizens process vaccine evidence.

"Do they ignore it? If they process it, are there distortions in the cognitive processing? Could the information be processed differently by people with different vaccination attitudes? And how does the effect of possible cognitive distortions on vaccine refusal compare to the effect of other relevant factors, such as demographic variables?"

A growing body of literature suggests that current vaccine information dissemination approaches – 'providing factual evidence' – do not alter peoples' vaccination intentions. This underscores the need for studies to unravel the predictors (and potential decision-making hierarchy) of individuals' willingness to vaccinate, particularly those leveraging recent advances in behavioral and cognitive science's understanding of human cognitive distortion.

About the study

The present study investigates how persons with different preexisting notions/attitudes toward COVID-19 vaccines process information on vaccine evidence. It further seeks to identify and measure the extraneous factors (potentially non-vaccine-specific preconceptions such as cultural, societal, or religious) that may influence vaccination decisions in this spectrum of future vaccine receivers.

The study is based on the concept of 'deliberate ignorance,' the act of refusing to peruse vaccine evidence information. For analysis, the study defines three levels of deliberate ignorance – 1. Full (ignore all presented vaccine evidence), 2. Partial ('probability neglect' wherein individuals are more likely to ignore specific pieces of information such as the probabilities of side effects or benefits), and 3. No deliberate ignorance (complete and detailed inspection of provided vaccine evidence).

Data for the study was obtained from United States (US) adult citizens on the online platform Prolific. Based on the initial assessment scores, participants were classified as either 'anti-vaccination,' 'neutral,' or 'pro-vaccination.' The study was designed such that each cohort (classifier) would have ~400 participants (total n = 1,200). Each participant was required to undergo each of the study's four main stages.

"(1) a Mouselab task, (2) a willingness-to-pay task implemented for exploratory analyses and not reported here, (3) an affect rating task, and (4) a post-experimental survey."

The bulk of relevant data was derived from the Mouselab test, which involved presenting clinical information (benefits, side effects, and their respective probabilities) on eight globally approved anti-COVID-19 vaccines, followed by an interview to ascertain participant vaccination choice. The affect rating test evaluated how participants' objective feelings towards vaccines' benefits and side effects changed after perusing vaccine information. The post-experiment survey elucidated the changes in participants' vaccination views before and after the experiment. The data were then analyzed using computational modeling, which allowed researchers to quantify the extent of cognitive distortions, such as probability weighting and loss aversion, that influenced participants' vaccination decisions.

Study findings

The final sample cohort comprised 1,200 US citizens, of which 60% were women (mean age = 38.23 years). The final cohorts (during the post-experiment survey) included 365 anti-vaccination, 462 pro-vaccination, and 373 vaccination-neutral participants.

Study findings revealed that deliberate ignorance was unexpectedly high across all three cohorts. However, the duration of vaccine effect label information was found to be directly proportional to the probability of vaccine acceptance. In contrast, probability neglect—one of more instances of reading benefits and side effects of vaccines but not their respective probabilities—often resulted in vaccination aversion.

"Participants in all three groups valued the risks and benefits of vaccines unequally, showing aversion to side effects—in the sense that they had a stronger psychological response to the possible side effects of vaccines than to their potential benefits (akin to loss aversion in choices between risky prospects). In addition, all three groups overweighted the low probabilities of side effects, albeit to a different extent."

Information comparisons between groups revealed that anti-vaccination group participants deliberately ignored a majority (and, at times, even all) presented vaccine information. Computational modeling indicated that preexisting biases and cognitive distortions further influenced this aversion to knowledge acquisition and processing. Notably, the vaccination-neutral group, formerly the most populous cohort under study, was indistinguishable from pro-vaccination participants' willingness to learn and process vaccination information.

Conclusions

The present study highlights the roles of preexisting vaccine hesitancy in anti-COVID-19 vaccination outcomes. Conducted among 1,200 US citizens across a spectrum of vaccination willingness (anti-, neutral, and pro-vaccination), the study revealed that participants' willingness to vaccinate was directly linked to the amount of information about vaccine effects they had chosen to process. Unfortunately, this willingness to peruse provided information was associated with preexisting beliefs (anti-vaccination group participants are much more likely to ignore parts or all of the provided information deliberately).

Notably, all group participants were likely to read the side effects and benefits section of the provided vaccine information. However, all three groups displayed 'probability neglect,' wherein the probabilities of side effects and benefits occurring were ignored.

Together, these findings underscore the need to access participants' preexisting beliefs about vaccination prior to the campaigning effort. Clinicians and policymakers are further advised to tailor their vaccination campaigns to best suit the needs of specific target groups.

"Our findings that people often deliberately ignore vaccine evidence or process it in ways counter to rational standards suggest that effective evidence communication must take new and innovative paths. Societies can be fully prepared for future pandemics only when technological ingenuity is coupled with cognitive and behavioral insights."

Source

Fuławka, K., Hertwig, R. & Pachur, T. COVID-19 vaccine refusal is driven by deliberate ignorance and cognitive distortions. npj Vaccines 9, 167 (2024), DOI – 10.1038/s41541-024-00951-8, https://www.nature.com/articles/s41541-024-00951-8

Hugo Francisco de Souza

Written by

Hugo Francisco de Souza

Hugo Francisco de Souza is a scientific writer based in Bangalore, Karnataka, India. His academic passions lie in biogeography, evolutionary biology, and herpetology. He is currently pursuing his Ph.D. from the Centre for Ecological Sciences, Indian Institute of Science, where he studies the origins, dispersal, and speciation of wetland-associated snakes. Hugo has received, amongst others, the DST-INSPIRE fellowship for his doctoral research and the Gold Medal from Pondicherry University for academic excellence during his Masters. His research has been published in high-impact peer-reviewed journals, including PLOS Neglected Tropical Diseases and Systematic Biology. When not working or writing, Hugo can be found consuming copious amounts of anime and manga, composing and making music with his bass guitar, shredding trails on his MTB, playing video games (he prefers the term ‘gaming’), or tinkering with all things tech.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Francisco de Souza, Hugo. (2024, September 17). Cognitive distortions and deliberate ignorance lead to COVID-19 vaccine refusal, study says. News-Medical. Retrieved on December 11, 2024 from https://www.news-medical.net/news/20240917/Cognitive-distortions-and-deliberate-ignorance-lead-to-COVID-19-vaccine-refusal-study-says.aspx.

  • MLA

    Francisco de Souza, Hugo. "Cognitive distortions and deliberate ignorance lead to COVID-19 vaccine refusal, study says". News-Medical. 11 December 2024. <https://www.news-medical.net/news/20240917/Cognitive-distortions-and-deliberate-ignorance-lead-to-COVID-19-vaccine-refusal-study-says.aspx>.

  • Chicago

    Francisco de Souza, Hugo. "Cognitive distortions and deliberate ignorance lead to COVID-19 vaccine refusal, study says". News-Medical. https://www.news-medical.net/news/20240917/Cognitive-distortions-and-deliberate-ignorance-lead-to-COVID-19-vaccine-refusal-study-says.aspx. (accessed December 11, 2024).

  • Harvard

    Francisco de Souza, Hugo. 2024. Cognitive distortions and deliberate ignorance lead to COVID-19 vaccine refusal, study says. News-Medical, viewed 11 December 2024, https://www.news-medical.net/news/20240917/Cognitive-distortions-and-deliberate-ignorance-lead-to-COVID-19-vaccine-refusal-study-says.aspx.

Comments

  1. Tom Tom United States says:

    Maybe it was because it was experimental with no long term data. Maybe it was because it was on trucks before EUA approval. Maybe it was because we had to sign a waiver even as a mandate was pushed. Maybe it was because it didn't stop transmission or contraction. Maybe its because vaccine needed definition reassignment surgery.

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.