Welcome to PracticeUpdate! We hope you are enjoying temporary access to this content.
Please register today for a free account and gain full access
to all of our expert-selected content.
Already Have An Account? Log in Now
Attitudes Toward a Potential SARS-CoV-2 Vaccine
abstract
This abstract is available on the publisher's site.
Access this abstract nowBACKGROUND
Coronavirus disease 2019 (COVID-19) has rapidly instigated a global pandemic. Vaccine development is proceeding at an unprecedented pace. Once available, it will be important to maximize vaccine uptake and coverage.
OBJECTIVE
To assess intent to be vaccinated against COVID-19 among a representative sample of adults in the United States and identify predictors of and reasons for vaccine hesitancy.
DESIGN
Cross-sectional survey, fielded from 16 through 20 April 2020.
SETTING
Representative sample of adults residing in the United States.
PARTICIPANTS
Approximately 1000 adults drawn from the AmeriSpeak probability-based research panel, covering approximately 97% of the U.S. household population.
MEASUREMENTS
Intent to be vaccinated against COVID-19 was measured with the question, "When a vaccine for the coronavirus becomes available, will you get vaccinated?" Response options were "yes," "no," and "not sure." Participants who responded "no" or "not sure" were asked to provide a reason.
RESULTS
A total of 991 AmeriSpeak panel members responded. Overall, 57.6% of participants (n = 571) intended to be vaccinated, 31.6% (n = 313) were not sure, and 10.8% (n = 107) did not intend to be vaccinated. Factors independently associated with vaccine hesitancy (a response of "no" or "not sure") included younger age, Black race, lower educational attainment, and not having received the influenza vaccine in the prior year. Reasons for vaccine hesitancy included vaccine-specific concerns, a need for more information, antivaccine attitudes or beliefs, and a lack of trust.
LIMITATIONS
Participants' intent to be vaccinated was explored before a vaccine was available and when the pandemic was affecting a narrower swath of the United States. Questions about specific information or factors that might increase vaccination acceptance were not included. The survey response rate was 16.1%.
CONCLUSION
This national survey, conducted during the coronavirus pandemic, revealed that approximately 3 in 10 adults were not sure they would accept vaccination and 1 in 10 did not intend to be vaccinated against COVID-19. Targeted and multipronged efforts will be needed to increase acceptance of a COVID-19 vaccine when one becomes available.
PRIMARY FUNDING SOURCE
Agency for Healthcare Research and Quality.
Additional Info
Disclosure statements are available on the authors' profiles:
Attitudes Toward a Potential SARS-CoV-2 Vaccine: A Survey of U.S. Adults
Ann. Intern. Med 2020 Sep 04;[EPub Ahead of Print], KA Fisher, SJ Bloomstone, J Walder, S Crawford, H Fouayzi, KM MazorFrom MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.
A Rush to Vaccine Hesitancy
There is a complex calculus in building the immunity across a population known as the herd effect. In simple terms, I consider the interplay of naturally acquired immunity—gained from infection and recovery—and vaccine-induced immunity. The amount of vaccine-induced immunity is further dependent upon the effectiveness of a vaccine and the percent of the population (herd) receiving the vaccine. Complicating the estimate is the durability of the immune response.
In the diagrammatic example presented here, a hypothetical 65% threshold for the herd effect could be attained with 15% naturally acquired and 50% vaccine-induced immunity. And herein lies the challenge. To reach that 50% level, a vaccine would need to be—on average—about 70% effective, and about 70% of the population would need to be willing to roll up their sleeves and be vaccinated.
For those following the advent of COVID-19 vaccines, the results of a recent Kaiser Family Foundation tracking poll should give pause:
“… if a coronavirus vaccine was indeed approved by the FDA before the election and was made available and free to everyone who wanted it, just four in ten adults (42%) say they would want to get vaccinated while a slight majority (54%) say they would not want to get vaccinated under those circumstances.”
An uptake of 42% will not get us where we need to be… even with an unprecedented 100% vaccine effectiveness. Accordingly, there is an unparalleled need for the complete assessment, through well-designed clinical trials, of safety and efficacy of candidate vaccines. Following such assessment, there is an equally significant need to assure the public that any COVID-19 vaccine is safe and has undergone the highest levels of scrutiny.
The thing to keep in mind with the clinical trials used for vaccines is that there are rolling enrollments of participants. As time goes on, more and more people are recruited and randomized into receiving vaccine or placebo.
Following this, we wait. We wait for people to become exposed to infection and become ill. We wait for adverse events to occur. The researchers only control the exposure (when people receive the vaccine or placebo). They do not control the outcome (infection/illness/adverse event).
The longer we wait, the more we are able to accumulate the outcome events of interest and the more precise our estimates become of the true effect of a vaccine. Early evaluations of most vaccines provide very imprecise estimates of their effects. Accordingly, there are very good reasons to wait for sufficient data to accrue so as to improve our estimates.
For example, an early assessment of a vaccine's efficacy at preventing a disease might be 50%, but with a confidence interval that goes from 30% to 70%. That means we could jump in to a program with an intervention that provides less benefit than desired. Likewise, for less common side effects, we could convince ourselves that a vaccine is quite safe when it may not be so.
Time for ascertainment of effect is a very important concept. Like a good wine, time has a way of improving the products of well-designed clinical trials.
Reference