Literature DB >> 33994325

Perceptions and predictors of intention to receive the COVID-19 vaccine.

Antoinette B Coe1, Marissa H Elliott2, Sharon B S Gatewood3, Jean-Venable R Goode4, Leticia R Moczygemba5.   

Abstract

BACKGROUND: The control of the Coronavirus Disease 2019 (COVID-19) pandemic may be dependent on widespread receipt of an effective vaccine. It is important to understand patient health-related behaviors and perceptions to guide public health vaccination strategies.
OBJECTIVES: To examine perceptions of COVID-19 and vaccination beliefs, and identify predictors of intention to receive the COVID-19 vaccine in the US.
METHODS: A cross-sectional, web-based survey guided by the Health Belief Model was conducted using a web-based Qualtrics survey panel of US adults. The main outcome was the intention to receive the COVID-19 vaccine if offered. Additional measures included: demographics, perceptions of COVID-19 severity, risk and susceptibility, views of a potential COVID-19 vaccine, virus and vaccine information sources, vaccine beliefs and behaviors, and seasonal flu vaccine history.
RESULTS: A total of 1047 complete responses were included. Females had lower odds of intending to receive the COVID-19 vaccine than males (AOR = 0.54, 95% CI: 0.36-0.80). Those with a two-year degree/some college had lower odds of intending to receive the COVID-19 vaccine compared to those with a high school degree/GED (AOR = 0.59, 95% CI: 0.36-0.97). Respondents who perceived the severity of the virus to be higher, perceived a greater COVID-19 vaccine benefit, and perceived greater general vaccine benefits had higher odds of intending to receive a COVID-19 vaccine (AOR = 1.44, 95% CI: 1.09-1.91; AOR = 2.82, 95% CI: 2.24-3.56; AOR = 1.77, 95% CI 1.41-2.21, respectively).
CONCLUSIONS: In this study, intention to receive the COVID-19 vaccine varied across demographics, perceived virus severity, COVID-19 vaccine and general vaccine beliefs. Successful implementation of a COVID-19 immunization strategy by healthcare providers and public health officials will need to incorporate diverse COVID-19 vaccination education strategies tailored to patients' health beliefs.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19 vaccine; Health belief model; Pandemic

Mesh:

Substances:

Year:  2021        PMID: 33994325      PMCID: PMC8087864          DOI: 10.1016/j.sapharm.2021.04.023

Source DB:  PubMed          Journal:  Res Social Adm Pharm        ISSN: 1551-7411


Introduction

In March 2020, the World Health Organization (WHO) characterized Coronavirus Disease 2019 (COVID-19) as a pandemic, which led to interruptions in daily life such as closing businesses and schools and limiting social gatherings to prevent the spreading of the virus. COVID-19, caused by a novel coronavirus called severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), primarily affects the respiratory system and in some instances, can be fatal. , As of August 17th, 2020 (when data collection began), there were roughly 21.8 million cases and over 774 thousand deaths worldwide, with about 5.4 million cases and 170,500 deaths in the United States (US). With cases and deaths continuing to rise, the long-term solution to mitigating the morbidity and mortality related to COVID-19 will likely be dependent on a globally available COVID-19 vaccine. However, for a safe and efficacious COVID-19 vaccine to be the solution, it must also be widely accepted and received by the general public to guarantee broad immunological protection. Vaccine hesitancy, which refers to individuals who may refuse, delay, or be unsure of some vaccines, poses a major challenge to the success of vaccination programs. The WHO listed vaccine hesitancy as one of the ten threats to global health in 2019. Previous studies on vaccine hesitancy have identified socioeconomic, demographic, and other belief factors to play a large role in the likelihood of vaccine acceptance. The Health Belief Model (HBM), a health promotion framework that assesses and predicts health-related behavior, has been used in studies to determine predictors of vaccination. , Previous work used the HBM to explore intention to receive the 2009 H1N1 vaccine and found that barriers to vaccination, physician recommendation, and previous seasonal influenza vaccination were predictors of intent to receive the vaccine. When considering the distribution and administration of the COVID-19 vaccine, public health campaigns and strategies will need to address perceptions of vaccine-hesitant individuals to increase vaccine uptake. Using the HBM to identify predictors of intention to receive the COVID-19 vaccine will help inform vaccination campaigns. Surveys regarding the intention to receive the COVID-19 vaccine in the US have been published.10, 11, 12 Two national surveys of COVID-19 vaccine acceptability among national online survey panels were conducted in May 2020. , One study found that the majority of adults were willing to receive a COVID-19 vaccine, with the greatest predictors being healthcare provider recommendation, higher levels of perceived susceptibility, perceived severity, perceived effectiveness, and moderate or liberal political leaning. The other study found differences in vaccine acceptance by participant demographics and geography. In July 2020, a third online survey of US adults assessed factors related to the likelihood of accepting a COVID-19 vaccine. They found that perceptions of vaccine-related attributes and participants' political partisanship were associated with the likelihood of vaccine acceptance. This current study builds upon previous research by providing a more recent survey of participant perceptions and utilizes the HBM framework to predict intention to receive the COVID-19 vaccine. Using the HBM as the theoretical framework, an online survey was developed and distributed to a nationally representative sample of US adults. This study seeks to examine (1) the perceptions of severity, risk, and susceptibility to COVID-19, (2) views of vaccine benefits and barriers and cues to action, and (3) identify predictors of intention to receive the COVID-19 vaccine if offered.

Methods

Study design and sample

This cross-sectional, descriptive study used a Qualtrics web-based survey panel (Qualtrics, Provo, UT). There were four pre-specified demographic quotas (gender, race, region, and age) matched to the 2010 US Census data to ensure the survey sample was reflective of the US population. Adults aged 18 years or older were eligible to participate.

Theoretical framework

There are six constructs in the HBM: perceived susceptibility, perceived severity, perceived benefits, perceived barriers, cues to action, and self-efficacy. Perceived susceptibility is the individual's belief surrounding their risk of getting a condition or disease whereas perceived severity is the belief about how serious the condition or disease will be. Perceived benefits and perceived barriers are related to the beliefs around the efficacy and the costs of the advised action, respectively. Cues to action are strategies to encourage a state of “readiness,” while self-efficacy is the belief in one's ability to do something. All HBM constructs were used in this study and are reflected in the survey question items.

Survey instrument

A 60-item questionnaire was developed to collect information on demographics, perceptions of COVID-19 severity, risk and susceptibility, views on the potential COVID-19 vaccine, other general vaccine beliefs, and seasonal flu vaccine history. The questionnaire included questions on if the respondent belonged to or lived with an individual in a high-risk group, or if the respondent belonged to or lived with an individual that might be at an increased risk for severe illness (i.e., potentially high-risk group). These high-risk groups were defined by the Centers for Disease Control and Prevention (CDC) as groups at increased risk or might be at an increased risk for severe illness from COVID-19. A list of these high-risk groups was provided in the questionnaire for the respondent to check all that apply. This survey was adapted from a previous survey that assessed predictors of intent to receive the novel (2009) H1N1 influenza vaccine. The survey instrument is included as online material. The first series of questions on demographics asked respondents for their age, gender, race, ethnicity, US region, education level, annual household income, if they are a member or living with a member of a COVID-19 high-risk group, and if they are a member or living with someone who might be at high-risk for serious illness from COVID-19, according to CDC definitions at the time of survey administration. The second series of questions consisted of 5-point Likert scale questions (1 = strongly disagree to 5 = strongly agree) on perceptions of COVID-19 severity, risk, and susceptibility. The next series asked about views of the potential COVID-19 vaccine, including perceptions of side effects, safety, cost, access, and availability. Respondents were asked about their perceived comfort in receiving COVID-19 vaccination at different locations (e.g., doctor's office, pharmacy, or drive-through car site). The last series of questions included a mix of 5-point Likert scale questions on general vaccine beliefs (e.g., “vaccines are safe” and “vaccines prevent disease”) along with questions about the respondent's seasonal flu vaccine history (e.g., if they received the vaccine and where). The survey was pre-tested two times among faculty and graduate students for clarity and accuracy. The survey was modified based on feedback, which included minor revisions to the response options, the format, and the question wording. The survey did not collect any identifiable patient information. The Institutional Review Board at the University of Michigan approved this study.

Data collection

The Qualtrics survey was distributed to a nationally representative online survey panel in the US. Responses were collected until there was a minimum of 1000 completed surveys that met the four pre-specified demographic quotas. Qualtrics compensated each respondent for their participation. All responses were collected anonymously. Survey responses were collected from August 17–20, 2020.

Data analysis

Data were analyzed using descriptive statistics and presented as number (percentage), median (interquartile range), or mean (standard deviation). The main outcome was the intention to receive a COVID-19 vaccine, analyzed as Yes (very likely and likely to receive the vaccine) vs. No (very unlikely and unlikely to receive the vaccine). Multivariable logistic regression was used to examine the association between demographic, seasonal influenza vaccine history, and HBM variables with the intention to receive a COVID-19 vaccine. Results are presented as odds ratios (OR) and adjusted odds ratios (AOR) with 95% confidence intervals. To assess reliability for the HBM variables, Cronbach's alpha was calculated for the domains with three or more items and Pearson's correlation was used for the domain with two items. Scale means were calculated for domains with a Cronbach's alpha or Pearson's correlation value > 0.5. A post-hoc analysis using the χ test was conducted to identify differences in perceived comfort of receiving a COVID-19 vaccine at different locations (doctor's office, pharmacy, or drive-through car site) between respondents that were likely or unlikely to receive a COVID-19 vaccine. The a priori level of significance was p < 0.05. Analyses were performed using SAS software (version 9.4, Cary, NC).

Results

Demographics

A total of 1050 respondents completed the survey. Of the 1050 total respondents, three were excluded because of incomplete responses. The majority were under the age of 65 years old (883, 84.3%), non-Hispanic or Latino (865, 82.6%), and white (755, 72.1%) (Table 1 ). There were slightly more female respondents (584, 55.8%). A little over one-third of the respondents were located in the South (392, 37.4%). Over one-third of the respondents had an annual household income of $15,000 to $49,000 (387, 37.0%).
Table 1

Demographics and seasonal influenza vaccine history of survey participants.

Demographic CharacteristicsTotal N = 1047, N (%)
Age (years), mean (SD, Range), median (IQR)45 (16.9, 18–96),42 (31–59)
Age (years)
 Under 65883 (84.3)
 65 and older164 (15.7)
Gender
 Female584 (55.8)
 Male460 (43.9)
 Transgender/Non-binary3 (0.3)
Race
 White755 (72.1)
 Black or African American156 (14.9)
 Asian58 (5.5)
 Other Race33 (3.2)
 More than one race22 (2.1)
 American Indian or Alaska Native18 (1.7)
 Native Hawaiian or Other Pacific Islander5 (0.5)
Ethnicity
 Not Hispanic or Latino865 (82.6)
 Hispanic or Latino182 (17.4)
Region
 South392 (37.4)
 West244 (23.3)
 Midwest222 (21.2)
 Northeast189 (18.1)
Education
 Less than high school14 (1.3)
 Some high school35 (3.3)
 High school graduate/GED273 (26.1)
 Two-year degree/some college271 (25.9)
 Bachelor's degree273 (26.1)
 Graduate degree/Professional degree181 (17.3)
Annual household income
 < $15,000114 (10.9)
 $15,000 to $49,999387 (37.0)
 $50,000 to $99,999296 (28.3)
 $100,000 to $149,999134 (12.8)
 ≥ $150,000116 (11.1)
Child < 18 years
 Yes375 (35.8)
 No
672 (64.2)
Seasonal influenza vaccine history
Ever had a past flu vaccine
 Yes732 (69.9)
 No291 (27.8)
 I don't know24 (2.3)
Flu vaccine last year
 Yes554 (52.9)
 No474 (45.3)
 I don't know19 (1.8)
Last year's location of flu vaccine receipt (N = 554)
 Physician's office223 (40.3)
 Pharmacy145 (26.2)
 Hospital63 (11.4)
 Place of employment49 (8.8)
 Health department34 (6.1)
 Community health center18 (3.3)
 Other16 (2.9)
 School6 (1.1)
Demographics and seasonal influenza vaccine history of survey participants.

Seasonal influenza vaccine history

Most respondents had a history of receiving a seasonal influenza vaccine (732, 69.9%) (Table 1). Approximately half had received the seasonal influenza vaccine last year (554, 52.9%). Of those who received the seasonal influenza vaccine last year, most received it at their physician's office (223/554, 40.3%).

History, behaviors, and risk of COVID-19

Approximately half of the respondents identified as a member of a COVID-19 high-risk group (535, 51.1%) or a member of a potentially high-risk group (609, 58.2%) as classified by the CDC (Table 2 ). About half reported living with a person in a COVID-19 high-risk group (494, 47.2%) or a potentially high-risk group (536, 51.2%). Most did not have a history of a positive COVID-19 test (927, 88.5%) or did not know of someone with a positive COVID-19 test (715, 68.3%). In the last month, face mask use in public was reported as “Always” by most respondents (677, 64.7%). Avoiding crowded areas where 6 feet of social distance cannot be maintained and avoiding social gatherings outside of the home was reported as “Always” by slightly less than half of the respondents (518, 49.5% and 511, 48.8%, respectively). Respondent's mean number of information sources for receiving current COVID-19 information was 3.9 (SD = 2.4) and 3.1 (SD = 2.3) for receiving COVID-19 vaccine information. A summary of types and number of information sources respondents selected is provided in Supplemental Table 1.
Table 2

History, behaviors, and risk of COVID-19 in survey participants.

COVID-19 CharacteristicsTotal N = 1047, N (%)
Member of high-risk group
 Yes535 (51.1)
 No512 (48.9)
Living with a member of high-risk group
 Yes494 (47.2)
 No553 (52.8)
Member of potentially high-risk group
 Yes609 (58.2)
 No438 (41.8)
Living with a member of potentially high-risk group
 Yes536 (51.2)
 No511 (48.8)
Ever test positive for COVID-19
 Yes89 (8.5)
 No927 (88.5)
 I don't know31 (3.0)
Know someone with a positive COVID-19 test
 Yes304 (29.0)
 No715 (68.3)
 I don't know
28 (2.7)
Behavior in the last month:
Face mask use in public
 Never21 (2.0)
 Sometimes53 (5.1)
 About half the time87 (8.3)
 Most of the time209 (20.0)
 Always677 (64.7)
Avoided crowded areas where 6 feet of social distance cannot be maintained
 Never52 (5.0)
 Sometimes93 (8.9)
 About half the time92 (8.8)
 Most of the time292 (27.9)
 Always518 (49.5)
Avoided social gatherings outside of the home
 Never75 (7.2)
 Sometimes81 (7.7)
 About half the time107 (10.2)
 Most of the time273 (26.1)
 Always
511 (48.8)
COVID-19 information sources per respondent (Mean (SD))3.9 (2.4)
COVID-19 vaccine information sources per respondent (Mean (SD))3.1 (2.3)
History, behaviors, and risk of COVID-19 in survey participants.

General vaccine behaviors and intention to receive the COVID-19 vaccine

When respondents were asked if they were willing to get all recommended vaccines for themselves, the majority agreed with the statement (631, 60.3%) (Table 3 ). If offered a COVID-19 vaccine, most of the respondents indicated that they were likely or very likely to receive it (663, 63.3%). If the COVID-19 vaccine were to be administered in more than one dose, roughly the same number of respondents reported being likely or very likely to receive it (639, 61.0%). If the COVID-19 vaccine was required to return to work or school, most respondents selected likely or very likely to receive a COVID-19 vaccine (634, 60.6%).
Table 3

COVID-19 vaccine and general vaccine receipt of survey participants.

Vaccine receipt itemsTotal N = 1047, N (%)
I am willing to get all of the recommended vaccines for myself
 Strongly disagree119 (11.4)
 Somewhat disagree103 (9.8)
 Neither agree nor disagree194 (18.5)
 Somewhat agree271 (25.9)
 Strongly agree360 (34.4)
The COVID-19 pandemic has made me more likely to get the seasonal flu vaccine
 Strongly disagree179 (17.1)
 Somewhat disagree171 (16.3)
 Neither agree nor disagree291 (27.8)
 Somewhat agree214 (20.4)
 Strongly agree
192 (18.3)
Perceived comfort in receiving the COVID-19 vaccine by going into a:
Doctor's office/health clinic
 Extremely comfortable295 (28.2)
 Somewhat comfortable280 (26.7)
 Neither comfortable nor uncomfortable214 (20.4)
 Somewhat uncomfortable116 (11.1)
 Extremely uncomfortable142 (13.6)
Pharmacy
 Extremely comfortable221 (21.1)
 Somewhat comfortable297 (28.4)
 Neither comfortable nor uncomfortable219 (20.9)
 Somewhat uncomfortable153 (14.6)
 Extremely uncomfortable157 (15.0)
Drive-through (in your car) site
 Extremely comfortable229 (21.9)
 Somewhat comfortable243 (23.2)
 Neither comfortable nor uncomfortable212 (20.3)
 Somewhat uncomfortable149 (14.2)
 Extremely uncomfortable
214 (20.4)
If offered a COVID-19 vaccine …

Likelihood of receiving it
 Very likely345 (33.0)
 Likely318 (30.4)
 Unlikely207 (19.8)
 Very unlikely177 (16.9)
Likelihood of receiving it if administered in more than one dose
 Very likely302 (28.8)
 Likely337 (32.2)
 Unlikely202 (19.3)
 Very unlikely206 (19.7)
Likelihood of receiving it if required to return to work and/or school
 Very likely407 (38.9)
 Likely227 (21.7)
 Unlikely89 (8.5)
 Very unlikely127 (12.1)
 Not applicable197 (18.8)
COVID-19 vaccine and general vaccine receipt of survey participants. The majority of respondents likely to receive a COVID-19 vaccine reported they were comfortable getting a COVID-19 vaccine at a doctor's office, pharmacy, or drive-through car site (75.4%, 67.3%, and 60.9%, respectively). In those unlikely to receive a COVID-19 vaccine, approximately half reported that they were uncomfortable getting a COVID-19 vaccine at a doctor's office, pharmacy, or drive-through care site (49.5%, 53.4%, and 58.6%, respectively) (Supplemental Table 2).

Predictors of intention to receive a COVID-19 vaccine

Older adults had higher odds of intending to receive the COVID-19 vaccine than those under age 65 (OR = 1.71, 95% CI: 1.18–2.47) (Table 4 ). Female respondents, Black and Other race respondents, and those with an annual household income of < $15,000 had lower odds of intending to receive the COVID-19 vaccine compared to male respondents, White race respondents, and those with an annual household income of $50,000–99,999 (ORfemale = 0.57, 95% CI: 0.44–0.74, ORBlack race = 0.36, 95% CI: 0.25–0.51, OROther race = 0.62, 95% CI: 0.43–0.90, OR<$15,000 annual household income = 0.54, 95% CI: 0.35–0.83). Respondents had higher odds of intending to receive the COVID-19 vaccine if they were located in the Midwest, Northeast, or West compared to the South (ORMidwest = 1.83, 95% CI: 1.29–2.58, ORNortheast = 1.57, 95% CI: 1.09–2.24, ORWest = 2.13, 95% CI: 1.51–3.00), had an annual household income of $150,000 or more compared to an annual household income of $50,000–99,999 (OR = 2.20, 95% CI: 1.33–3.66), and had a bachelor's degree or higher education compared to those with a high school/GED degree (ORBachelor's degree = 1.43, 95% CI: 1.01–2.03, ORGraduate/Professional degree = 2.79, 95% CI: 1.81–4.31). Receipt of a past influenza vaccine and receipt of an influenza vaccine last year were associated with higher odds of intending to receive the COVID-19 vaccine (OR = 2.44, 95% CI: 1.85–3.23 and OR = 2.61, 95% CI: 2.01–3.39, respectively).
Table 4

Demographics, seasonal influenza vaccine history, and HBM domains associated with intention to receive a COVID-19 vaccine.

DemographicsUnadjusted OR [95% CI]
Adjusted OR [95% CI]
N = 1047N = 887
Age (years)
 Under 651.01.0
 65 and older1.71 [1.18–2.47]1.05 [0.58–1.90]
Gender (N = 1045)
 Male1.01.0
 Female0.57 [0.44–0.74]0.54 [0.36–0.80]
Race
 White1.01.0
 Black0.36 [0.25–0.51]0.59 [0.35–1.00]
 Other0.62 [0.43–0.90]0.73 [0.42–1.26]
Ethnicity
 Not Hispanic or Latino1.01.0
 Hispanic or Latino0.99 [0.71–1.38]1.24 [0.76–2.02]
Region
 South1.01.0
 Midwest1.83 [1.29–2.58]1.05 [0.63–1.74]
 Northeast1.57 [1.09–2.24]1.19 [0.72–1.98]
 West2.13 [1.51–3.00]1.80 [1.09–2.96]
Education
 No high school degree0.75 [0.41–1.37]1.15 [0.48–2.77]
 High school graduate/GED1.01.0
 Two-year degree/some college0.93 [0.66–1.31]0.59 [0.36–0.97]
 Bachelor's degree1.43 [1.01–2.03]0.63 [0.37–1.07]
 Graduate/Professional degree2.79 [1.81–4.31]1.50 [0.74–3.04]
Annual household income
 < $15,0000.54 [0.35–0.83]1.12 [0.55–2.26]
 $15,000 to $49,9990.87 [0.64–1.19]1.34 [0.86–2.09]
 $50,000 to $99,9991.01.0
 $100,000 to $149,9991.40 [0.90–2.18]0.94 [0.51–1.74]
 ≥ $150,0002.20 [1.33–3.66]1.32 [0.63–2.77]
Child < 18 years
 No1.01.0
 Yes1.05 [0.81–1.36]0.90 [0.61–1.34]
COVID-19 Vaccine Information Sources1.11 [1.05–1.18]1.08 [0.98–1.18]
Past influenza vaccine
 No1.01.0
 Yes2.44 [1.85–3.23]1.41 [0.89–2.26]
Influenza vaccine last year
 No1.01.0
 Yes
2.61 [2.01–3.39]
1.39 [0.90–2.13]
Health Belief Model Domains


Perceived Severity of the Virus (n = 941)1.66 [1.42–1.94]1.44 [1.09–1.91]
 If I get COVID-19, I will get sick
 If I get COVID-19, other members in my home will get sick
 If I get COVID-19, I will lose income
 If I get COVID-19, I will die
Perceived Susceptibility to the Virus (n = 948)1.67 [1.45–1.93]1.01 [0.81–1.27]
 I am at risk for getting COVID-19
 Individuals in my household are at risk for getting COVID-19
 I feel knowledgeable about my risk for getting COVID-19
Perceived Clinical Barriers to Vaccination0.90 [0.75–1.08]0.97 [0.67–1.42]
 I will have side effects from the COVID-19 vaccine
 The COVID-19 vaccine will be safe
 I will get sick from the COVID-19 vaccine
 I will die from the COVID-19 vaccine
 The COVID-19 vaccine will be painful
Perceived Access Barriers to Vaccination0.95 [0.83–1.09]0.79 [0.61–1.02]
 It will be hard for me to get the COVID-19 vaccine
 There will not be enough of the COVID-19 vaccine for me
 The COVID-19 vaccine will cost me a lot of my own money
Perceived COVID-19 Specific Vaccine Benefit4.35 [3.58–5.28]2.82 [2.24–3.56]
 The COVID-19 vaccine will help things go back to normal
 If I receive the COVID-19 vaccine, it will protect me from COVID-19
Perceived General Vaccine Benefits3.10 [2.64–3.64]1.77 [1.41–2.21]
 Vaccines prevent disease
 Vaccines are safe
Demographics, seasonal influenza vaccine history, and HBM domains associated with intention to receive a COVID-19 vaccine. Three demographics variables remained significant predictors of intention to receive the COVID-19 vaccine in the adjusted logistic regression model. Females had lower odds of intending to receive the COVID-19 vaccine than males (AOR = 0.54, 95% CI: 0.36–0.80). Those with a 2-year degree/some college had lower odds of intending to receive the COVID-19 vaccine than those with a high school/GED degree (AOR = 0.59, 95% CI: 0.36–0.97). Respondents located in the West had higher odds of intending to receive the COVID-19 vaccine than those located in the South (AOR = 1.80, 95% CI: 1.09–2.96).

Health Belief Model domain predictors of intention to receive the COVID-19 vaccine

Perceived severity of the COVID-19 virus

Respondents who perceived the severity of the virus to be greater had higher odds of intending to receive a COVID-19 vaccine (OR = 1.66, 95% CI: 1.42–1.94). Perceived severity of the virus remained a significant predictor of intention to receive a COVID-19 vaccine in the adjusted logistic regression model (AOR = 1.44, 95% CI: 1.09–1.91).

Perceived susceptibility to the COVID-19 virus

A higher perceived susceptibility to the virus was associated with higher odds of intending to receive the COVID-19 vaccine (OR = 1.67, 95% CI: 1.45–1.93). The HBM domain of perceived susceptibility did not retain significance in the adjusted logistic regression model.

Perceived COVID-19 specific and general vaccine benefits

Respondents with a higher perceived COVID-19 vaccine benefit had higher odds of intending to receive the COVID-19 vaccine in both unadjusted and adjusted logistic regression models (OR = 4.35, 95% CI: 3.58–5.28 and AOR = 2.82, 95% CI: 2.24–3.56). Those who perceived greater overall general vaccine benefits also had higher odds of intending to receive a COVID-19 vaccine (OR = 3.10, 95% CI: 2.64–3.64 and AOR = 1.77, 95% CI 1.41–2.21).

Perceived clinical and access barriers to COVID-19 vaccination

Respondents’ perceived clinical and access barriers to COVID-19 vaccination were not significant predictors of intention to receive the COVID-19 vaccine. Summary responses to the HBM domains are provided in Supplemental Table 3. Fig. 1 provides the conceptual model for this study with significant HBM domains.
Fig. 1

Adapted health belief model domains and intention to receive the COVID-19 vaccine.

Adapted health belief model domains and intention to receive the COVID-19 vaccine.

Discussion

This study found that roughly 6 in 10 adults in the US intend to receive a COVID-19 vaccine if offered. This finding is slightly lower than other surveys conducted in the US, which found 67–69% of adults reported a willingness to get a COVID-19 vaccine, , , but higher than other parts of the world. , Though most respondents in this US study intended to receive the COVID-19 vaccine, it is still a significant public health concern that 40% did not intend to get the vaccine. For the HBM domains in this study, perceived severity of the virus, perceived greater COVID-19 vaccine benefit, and perceived overall general vaccine benefits were all predictors of the respondent's intention to receive a COVID-19 vaccine. These findings are consistent with previous studies on vaccination that support the notion that detecting the behaviors, beliefs, and perceptions of respondents will likely increase vaccine uptake and decrease health disparities in vaccine receipt. , 9, 10, 11, 12 , Other HBM domains in this study, perceived COVID-19 virus susceptibility, clinical barriers, and access barriers to the COVID-19 vaccine were not significant predictors of the respondent's intention to receive the COVID-19 vaccine in the multivariable model. In contrast, one study indicated that perceived severity was not a significant predictor of intention to receive the COVID-19 vaccine. The study by Guidry et al. found that perceived susceptibility, benefits, barriers, and self-efficacy were predictors of vaccine uptake intent. The variance of significant HBM predictors across studies indicates a need to determine each individual's concerns and provide concordant vaccine education. This study supports that strategies to increase COVID-19 vaccine uptake should address the HBM domains of perceived virus severity and belief in vaccine benefits. Evidence-based strategies may include using effective communication (e.g., motivational interviewing) to educate patients and reinforcing the role of community protection (vaccine benefits) to increase vaccine receipt. A recent study indicated that perceived community benefit was associated with respondents’ intention to receive a COVID-19 vaccine. Although not a significant finding in this group of survey respondents, addressing concerns about immunization side effects or barriers is recommended as a strategy to increase vaccine uptake. Studies have indicated that safety concerns or barriers were associated with a negative intention to receive a COVID-19 vaccine and addressing these patient-specific concerns may increase vaccine receipt. , Our findings suggest that those who were likely to intend to receive a COVID-19 vaccine were comfortable receiving the vaccination at a doctor's office, a pharmacy, or a drive-through car site, based on the survey options provided. For those who are likely to receive a COVID-19 vaccine, improved convenience and access to vaccines are strategies to increase vaccine uptake. With these findings, public health officials should increase the number of accessible community-based vaccination sites, such as doctor's offices, pharmacies, large vaccination events, local churches, and schools. In this study, females were less likely to intend to receive a COVID-19 vaccine which is consistent with previous survey research on acceptance of the COVID-19 vaccine. , In only the unadjusted model, self-reported Black or Other race respondents were less likely to intend to receive the COVID-19 vaccine than White respondents. Another survey indicated that Black race respondents compared to White race respondents were less likely to intend to get the COVID-19 vaccine, including under emergency use authorization. This study found that respondents with an annual household income of less than $15,000 were less likely to intend to receive the COVID-19 vaccine in an unadjusted model, similar to another study. Variation in intent to receive the COVID-19 vaccine was seen by region of the US, as seen in work by Malik et al. This study demonstrates that intention to receive the COVID-19 vaccine differs across demographic characteristics, such as education level, area of the US, and gender. This highlights the need for vaccination strategies that specifically address certain demographic groups.

Limitations

While this study's demographics were matched to the US adult population, participation was limited to those who participate in Qualtrics survey panels, which may not reflect the overall population. A second limitation is that trust was not included as a survey component and cannot be assessed as a predictor of vaccine receipt. Another limitation is the changing context of COVID-19 vaccine information and news reporting. This study was conducted in mid-August 2020 before emergency use authorization of COVID-19 vaccines. Another limitation is that this study did not examine the actual health behavior of receiving a COVID-19 vaccine. However, this study provides useful information on vaccine perceptions before a vaccine is available to the public that may help design future pandemic responses. Each day during the pandemic brings new information to the public, which may affect respondent perceptions.

Conclusions

The level of vaccine uptake will likely be a major factor in resolving the COVID-19 pandemic. These findings demonstrate that intention to receive the COVID-19 vaccine varied across demographics, perceived virus severity, and vaccine beliefs. Thus, successful implementation of a COVID-19 immunization campaign by healthcare providers and public health officials will need to incorporate diverse COVID-19 vaccination education strategies tailored to patients' health beliefs that encourage vaccine acceptance and receipt.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Author contributions

Coe: Conceptualization, Data curation, Formal analysis, Methodology, Project administration, Resources, Supervision, Roles/Writing - original draft, Writing - review & editing. Elliott: Conceptualization, Data curation, Formal Analysis, Methodology, Roles/Writing - original draft, Writing - review & editing. Gatewood: Conceptualization, Methodology, Writing - review & editing. Goode: Conceptualization, Methodology, Writing - review & editing. Moczygemba: Conceptualization, Methodology, Supervision, Writing - review & editing.

Declaration of competing interest

J-VRG served as an advisor for Valneva, outside of this work. All other authors have no relevant disclosures.
  15 in total

1.  Among sheeples and antivaxxers: Social media responses to COVID-19 vaccine news posted by Canadian news organizations, and recommendations to counter vaccine hesitancy.

Authors:  Lisa Tang; Sabrina Douglas; Amar Laila
Journal:  Can Commun Dis Rep       Date:  2021-12-09

2.  Myth and Misinformation on COVID-19 Vaccine: The Possible Impact on Vaccination Refusal Among People of Northeast Ethiopia: A Community-Based Research.

Authors:  Mulugeta Hayelom Kalayou; Shekur Mohammed Awol
Journal:  Risk Manag Healthc Policy       Date:  2022-10-01

3.  Perceptions and attitudes towards Covid-19 vaccines: narratives from members of the UK public.

Authors:  Btihaj Ajana; Elena Engstler; Anas Ismail; Marina Kousta
Journal:  Z Gesundh Wiss       Date:  2022-06-30

4.  Determinants of COVID-19 Vaccine Acceptance among the Adult Population of Bangladesh Using the Health Belief Model and the Theory of Planned Behavior Model.

Authors:  Muhammad Mainuddin Patwary; Mondira Bardhan; Asma Safia Disha; Mehedi Hasan; Md Zahidul Haque; Rabeya Sultana; Md Riad Hossain; Matthew H E M Browning; Md Ashraful Alam; Malik Sallam
Journal:  Vaccines (Basel)       Date:  2021-11-25

Review 5.  Multilevel determinants of COVID-19 vaccination hesitancy in the United States: a rapid systematic review.

Authors:  Ying Wang; Yu Liu
Journal:  Prev Med Rep       Date:  2021-12-16

6.  Influenza vaccination uptake and its determinants during the 2019-2020 and early 2020-2021 flu seasons among migrants in Shanghai, China: a cross-sectional survey.

Authors:  Kaiyi Han; Mark R Francis; Aichen Xia; Ruiyun Zhang; Zhiyuan Hou
Journal:  Hum Vaccin Immunother       Date:  2022-01-12       Impact factor: 3.452

7.  Willingness and uptake of the COVID-19 testing and vaccination in urban China during the low-risk period: a cross-sectional study.

Authors:  Suhang Song; Shujie Zang; Liubing Gong; Cuilin Xu; Leesa Lin; Mark R Francis; Zhiyuan Hou
Journal:  BMC Public Health       Date:  2022-03-21       Impact factor: 3.295

8.  Predictors of Intention to Vaccinate against COVID-19 in the General Public in Hong Kong: Findings from a Population-Based, Cross-Sectional Survey.

Authors:  Elsie Yan; Daniel W L Lai; Vincent W P Lee
Journal:  Vaccines (Basel)       Date:  2021-06-25

9.  Perceived Susceptibility to and Seriousness of COVID-19: Associations of Risk Perceptions with Changes in Smoking Behavior.

Authors:  Erin A Vogel; Lisa Henriksen; Nina C Schleicher; Judith J Prochaska
Journal:  Int J Environ Res Public Health       Date:  2021-07-17       Impact factor: 4.614

10.  Trends in COVID-19 Vaccination Intent, Determinants and Reasons for Vaccine Hesitancy: Results from Repeated Cross-Sectional Surveys in the Adult General Population of Greece during November 2020-June 2021.

Authors:  Vana Sypsa; Sotirios Roussos; Vasiliki Engeli; Dimitrios Paraskevis; Sotirios Tsiodras; Angelos Hatzakis
Journal:  Vaccines (Basel)       Date:  2022-03-18
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.