Abstract
In October 2021, Emergency Use Authorization of Coronavirus Disease 2019 (COVID-19) vaccines was granted for children aged 5–11. To ensure vaccine uptake in children upon approval, California will implement a state-wide executive order mandating COVID-19 vaccination for school children following full US FDA approval. This study uses survey data collected between November 6th, 2020 and December 14th, 2020 (n = 2091) to identify how sociodemographic characteristics and attitudes towards childhood vaccines among California parents were associated with their intentions to vaccinate their child against COVID-19. About one quarter (26 %) of surveyed California parents did not intend to vaccinate their child, suggesting skepticism towards the COVID-19 vaccine for children and the potential for pushback to a COVID-19 vaccine school-entry mandate. However, 17 % were unsure of their decision, suggesting the potential for public health messaging to make a positive impact on COVID-19 vaccine confidence and uptake. This study identifies characteristics of hesitant parents in California to prioritize for research and outreach. These data also provide a baseline for parental attitudes towards vaccinating children against COVID-19 in California, which will be useful for characterizing changes in attitudes towards childhood COVID-19 vaccination over time.
Keywords: Pediatric vaccination, SARS-CoV-2, Vaccine hesitancy
1. Introduction/Background
Via an executive order in California, vaccination for Coronavirus Disease 2019 (COVID-19) will be mandated for all children attending kindergarten through grade 12 (K-12) in public and private schools following full Food and Drug Administration (FDA) approval [1] An Emergency Use Authorization (EUA) was granted to Pfizer-BioNTech vaccine for children ages 5–11 on October 29, 2021; however, full FDA approval may not occur until January 2023, thereby postponing the statewide mandate [1], [2]. At the school district level, movements to mandate COVID-19 vaccination for children 12 and older by January 1, 2022 have been postponed in Los Angeles Unified School District due to potential disruptions to the learning of unvaccinated students [3]. However, legislation has been introduced at the state level that would add COVID-19 vaccination to the required vaccines needed to attend K-12 schools in California; passage of such legislation would bar parents from obtaining Personal Belief Exemptions (PBEs) for the childhood COVID-19 vaccine [3]. Some people oppose mandates due to concerns regarding the safety and necessity of vaccination, while others view mandates as important for reducing community transmission [4]. In this study, we use survey data to characterize California parents' intention to vaccinate their elementary school aged children (ages 5–11) against COVID-19, and to examine how parental vaccine intention varies by attitudes, beliefs, and sociodemographic characteristics.
2. Methods
2.1. Survey design
Between November 6th, 2020 and December 14th, 2020, a Qualtrics panel survey on childhood immunizations was administered to parents of elementary school aged children in California. The survey yielded 2091 responses, 51 of which were completed in Spanish. This report focuses on a subset of the survey pertaining to COVID-19 vaccines for children.
3. Survey content
Vaccine attitudes were assessed by asking respondents whether or not they agreed with various statements, with Likert scale response options of “strongly agree,” “agree,” “neither agree nor disagree,” “disagree,” and “strongly disagree”. We assessed respondents’ intention to vaccinate their children via their responses to the statement “I want my child to receive COVID-19 vaccination as soon as it is available to children.” We developed several validated scales to assess constructs that measure confidence in the child immunization schedule, perceived susceptibility to and severity of vaccine preventable diseases (VPDs), perceived vaccine safety and efficacy, and trust in public health authorities such as the Centers for Disease Control and Prevention (CDC), the FDA, and local health departments [5], [6] We also collected basic sociodemographic characteristics including parental race/ethnicity, income, age, education status, and region.
4. Data analyses
Using raking, survey data were weighted by race, ethnicity and income based on California’s most recent census data at the time (2019). Parental intention to vaccinate their child against COVID-19 (outcome of interest) among the surveyed population was split into three categories. Respondents answering “strongly agree” or “agree” were categorized as intending to vaccinate their children; respondents answering “neither agree nor disagree” were categorized as unsure; and respondents answering “disagree” or “strongly disagree” were categorized as not intending to vaccinate their children. Construct scales were dichotomized at the middle of the scale to create “high” and “low” categories, and Cronbach alpha values were calculated to assess scales’ internal reliability. Using weighted data, we applied multiple logistic regression to ascertain odds ratios (ORs) comparing parents’ intention to get their children vaccinated against COVID-19 by their sociodemographic characteristics, vaccine attitudes, and study constructs.
5. Results
5.1. Study population
Unweighted and weighted sociodemographic characteristics of the respondents and their children are presented in Supplemental Table 1. The largest percentage of respondents were of Hispanic ethnicity (39 %), between 31 and 40 years old (48 %), with a total family income between $30,000 and $99,999 (40 %), and with some college education (49 %). Nearly all respondents (95 %) reported that their children were up to date on all childhood immunizations (Supplemental Table 1).
6. Characterizing Parents’ intention to vaccinate their children
Table 1 represents the distribution of responses to the survey questions comprising the scales. While over half (56 %) of parents of elementary school aged children wanted their child to be vaccinated against COVID-19 immediately upon vaccine availability, about one quarter (26 %) did not intend to vaccinate their child, and 17 % were still unsure. Despite 71 % of respondents agreeing that immunization requirements protect children, 39 % of respondents agreed that parents should be allowed to send unvaccinated children to school.
Table 1.
Scale development: vaccine attitude and study constructs, median (iqr) score estimates and measurements of internal consistency (cronbach alpha).
| Questions and Scale Items | Weighted (%) |
Median (IQR) | Cronbach Alpha | ||||
|---|---|---|---|---|---|---|---|
| Strongly Agree | Agree | Neither Agree nor Disagree | Disagree | Strongly Disagree | |||
| I want my child to receive COVID-19 vaccination as soon as it is available for children. | 36.0 | 20.4 | 17.4 | 11.1 | 15.1 | ||
| I would consider enrolling my child in a vaccine trial to receive COVID-19 vaccination. | 18.3 | 16.9 | 16.2 | 17.9 | 30.8 | ||
| Treatments are needed instead of vaccines to fight COVID-19. | 22.5 | 24.3 | 31.6 | 13.4 | 8.2 | ||
| It is better to be exposed to COVID-19 than to receive a vaccine. | 16.8 | 13.9 | 22.0 | 17.6 | 29.7 | ||
| Immunization requirements protect children from getting diseases from unimmunized children. | 28.8 | 42.1 | 20.9 | 4.6 | 3.5 | ||
| Parents should be allowed to send their children to school even if not vaccinated. | 19.4 | 19.9 | 23.0 | 20.6 | 17.1 | ||
| Trust in Public Health Authorities | 57.1 (50.0–64.3) | 0.93 | |||||
| They do everything they should to protect the health of the population. | 33.4 | 35.8 | 21.1 | 6.5 | 3.3 | ||
| They are partly responsible for the illegal drug problems in this country. | 19.5 | 30.2 | 29.1 | 14.0 | 7.2 | ||
| They recommend things for the public that aren’t helpful. | 20.8 | 23.1 | 31.4 | 17.2 | 7.5 | ||
| They use resources well. | 22.0 | 34.9 | 30.6 | 8.9 | 3.7 | ||
| They waste money on health problems. | 16.8 | 19.2 | 32.8 | 20.7 | 10.6 | ||
| They keep trying the same things to help the public, even when they don’t work very well. | 18.1 | 28.4 | 34.3 | 12.1 | 7.0 | ||
| They come up with new ideas to solve health problems. | 22.9 | 35.7 | 29.5 | 7.1 | 4.8 | ||
| They base recommendations on the best available science. | 23.1 | 38.1 | 27.8 | 7.3 | 3.6 | ||
| They accurately inform the public of both health risks and benefits of medicines. | 24.6 | 35.0 | 26.9 | 9.1 | 4.5 | ||
| They believe in what they recommend for the public. | 22.3 | 39.0 | 26.3 | 8.1 | 4.3 | ||
| They quickly help the public with health problems. | 22.4 | 31.9 | 30.2 | 10.6 | 4.9 | ||
| They are concerned about all people, without caring about who has more or less money. | 20.8 | 32.4 | 26.3 | 11.9 | 8.7 | ||
| They are more concerned about some racial and ethnic groups than other groups. | 18.8 | 25.3 | 31.9 | 14.3 | 9.7 | ||
| They ensure the public is protected against diseases. | 22.6 | 34.3 | 29.4 | 8.2 | 5.4 | ||
| Confidence in Child Immunization Schedule | 43.8 (25.0, 62.5) | 0.81 | |||||
| It is better for my child to develop immunity by getting sick than to get a shot. | 17.5 | 20.8 | 25.7 | 18.1 | 18.0 | ||
| It is better for children to get fewer shots at the same time. | 21.4 | 31.8 | 31.4 | 9.4 | 6.1 | ||
| Children get more shots than are good for them. | 20.3 | 22.2 | 32.9 | 15.1 | 9.6 | ||
| I am concerned that children’s immune systems could be weakened by too many immunizations. | 25.3 | 26.0 | 21.3 | 17.6 | 9.7 | ||
| Very Likely | Likely | Somewhat Likely | Not Likely | Impossible | |||
| Perceived Susceptibility to Vaccine Preventable Diseases | 75.0 (50.0, 87.5) | 0.89 | |||||
| Imagine an unimmunized child in California: What is the likelihood that they will get the following illness or disease by the child turns 12 years old? | |||||||
| Whooping cough | 32.0 | 27.2 | 24.5 | 13.9 | 2.4 | ||
| Measles | 26.8 | 29.7 | 23.3 | 17.4 | 2.8 | ||
| Mumps | 28.5 | 25.3 | 24.8 | 18.4 | 3.0 | ||
| Influenza | 38.5 | 28.5 | 19.5 | 10.8 | 2.7 | ||
| Varicella | 37.6 | 29.3 | 20.7 | 9.3 | 3.2 | ||
| Very Serious | Serious | Somewhat Serious | Not Very Serious | Not at all serious | |||
| Perceived Severity of Vaccine Preventable Diseases | 75.0 (50.0, 100.0) | 0.96 | |||||
| Please indicate how serious you think it would be for an 8-year-old child to develop the following illness or disease. | |||||||
| Whooping Cough | 35.7 | 24.6 | 25.6 | 8.7 | 5.4 | ||
| Measles | 36.6 | 28.9 | 22.0 | 9.3 | 3.3 | ||
| Mumps | 36.7 | 28.4 | 21.4 | 9.1 | 4.5 | ||
| Influenza | 35.4 | 28.0 | 21.2 | 9.0 | 6.5 | ||
| Varicella | 35.1 | 28.1 | 211.1 | 8.8 | 6.8 | ||
| Very Effective | Effective | Somewhat Effective | Not Very Effective | Not at all Effective | |||
| Perceived Vaccine Efficacy | 75.0 (60.0, 90.0) | 0.88 | |||||
| Please indicate how effective you think vaccines are in preventing children from getting these childhood illnesses or diseases. | |||||||
| Whooping Cough | 42.7 | 29.6 | 19.8 | 5.7 | 2.1 | ||
| Measles | 39.1 | 33.5 | 19.3 | 5.4 | 2.7 | ||
| Mumps | 41.0 | 32.8 | 18.5 | 5.9 | 1.8 | ||
| Influenza | 31.7 | 30.2 | 26.1 | 8.8 | 3.2 | ||
| Varicella | 41.2 | 30.9 | 19.8 | 5.5 | 2.6 | ||
| Very Safe | Safe | Somewhat Safe | Not Very Safe | Not at all Safe | |||
| Perceived Vaccine Safety | 75.0 (50.0, 91.7) | 0.92 | |||||
| Please indicate how safe you think these vaccines are for children. | |||||||
| Whooping Cough | 36.7 | 32.7 | 22.3 | 4.6 | 3.8 | ||
| MMR | 30.9 | 38.0 | 21.1 | 6.3 | 3.8 | ||
| Influenza | 32.4 | 33.6 | 23.1 | 6.9 | 4.1 | ||
| Varicella | 33.2 | 36.6 | 21.2 | 5.8 | 3.2 | ||
Table 2 displays stratified frequencies and ORs comparing parental intentions to vaccinate their children against COVID-19 by sociodemographic characteristics, vaccine attitudes, and scale constructs. White, non-Hispanic parents were the most likely to intend to vaccinate their child against COVID-19. Parents with higher (vs lower) trust in public health authorities had lower odds of being unsure (Odds Ratio: 0.31, 95 % Confidence Interval: 0.22–0.44) or not intending to vaccinate (OR: 0.15, 95 % CI: 0.11–0.20). Likewise, parents had lower odds of being unsure or not intending to vaccinate if they perceived higher (vs lower) vaccine safety (OR: 0.20, 95 % CI: 0.14–0.29; OR: 0.15, 95 % CI: 0.11–0.21) and efficacy (OR: 0.24, 95 % CI: 0.17–0.35; OR: 0.20, 95 % CI: 0.14–0.27), respectively. Parents also had lower odds of being unsure or not intending to vaccinate if they perceived higher (vs lower) susceptibility to VPDs (OR: 0.39, 95 % CI: 0.28–0.54; OR: 0.31, 95 % CI: 0.23–0.42) and VPD severity (OR: 0.58, 95 % CI: 0.42–0.81; OR: 0.64, 95 % CI: 0.48–0.84), respectively.
Table 2.
Parental intention to vaccinate child against COVID-19 by sociodemographic characteristics, vaccine attitudes, and study constructs (Weighted).
| Sociodemographic Characteristics | Total % | Intends to vaccinate (%)a |
Unsure vs Yes | No vs Yes | ||
|---|---|---|---|---|---|---|
| Yes | Unsure | No | OR (95 %CI)b | OR (95 %CI)b | ||
| 100 | 56 | 17 | 26 | |||
| Relationship to Child | ||||||
| Mother | 59 | 46 | 21 | 33 | Ref | Ref |
| Father | 41 | 70 | 12 | 18 | 0.38 (0.27–0.52) | 0.36 (0.27–0.47) |
| Race/Ethnicity | ||||||
| White, non-Hispanic | 37 | 72 | 10 | 18 | Ref | Ref |
| Hispanic | 39 | 45 | 23 | 32 | 3.72 (2.61–5.31) | 2.83 (2.11–3.79) |
| Black, non-Hispanic | 6 | 53 | 16 | 31 | 2.10 (1.02–4.33) | 2.26 (1.31–3.92 |
| Asian/Pacific Islander | 15 | 53 | 22 | 25 | 3.02 (1.83–5.00) | 1.87 (1.17–3.00) |
| Other | 4 | 40 | 29 | 41 | 3.50 (1.69–7.24) | 4.00 (2.27–7.06) |
| Age (years) | ||||||
| <30 | 27 | 52 | 19 | 29 | Ref | Ref |
| 31–40 | 47 | 56 | 16 | 27 | 0.80 (0.55–1.16) | 0.88 (0.65–1.20) |
| >41 | 26 | 61 | 17 | 22 | 0.79 (0.52–1.18) | 0.67 (0.46–0.97) |
| Total Family Income | ||||||
| <$30,000 | 20 | 45 | 22 | 33 | Ref | Ref |
| $30,000–$99,999 | 42 | 52 | 19 | 29 | 0.76 (0.55–1.05) | 0.75 (0.57–1.00) |
| >$100,000 | 38 | 71 | 12 | 17 | 0.34 (0.23–0.50) | 0.32 (0.23–0.45) |
| Region of California | ||||||
| Greater Los Angeles Area | 39 | 64 | 14 | 22 | Ref | Ref |
| Greater Bay Area | 18 | 55 | 19 | 26 | 1.59 (1.03–2.45) | 1.42 (0.97–2.05) |
| Central California | 16 | 48 | 22 | 30 | 2.09 (1.34–3.26) | 1.81 (1.21–2.70) |
| Northern California | 9 | 56 | 11 | 33 | 0.90 (0.48–1.69) | 1.75 (1.08–2.84) |
| San Diego | 10 | 60 | 19 | 20 | 1.45 (0.84–2.49) | 0.99 (0.62–1.58) |
| Inland Empire | 9 | 37 | 24 | 39 | 2.92 (1.73–4.94) | 3.04 (1.95–4.76) |
| Education Status | ||||||
| High school graduate/GED certificate | 28 | 45 | 21 | 34 | Ref | Ref |
| Some college/college graduate | 45 | 49 | 21 | 30 | 0.87 (0.60–1.25) | 0.82 (0.59–1.12) |
| Post-graduate | 27 | 80 | 8 | 11 | 0.21 (0.13–0.34) | 0.19 (0.13–0.28) |
| Gender of Child | ||||||
| Female | 39 | 51 | 21 | 28 | Ref | Ref |
| Male | 60 | 60 | 15 | 25 | 0.62 (0.46–0.84) | 0.77 (0.59–1.00) |
| Other | 1 | 46 | 15 | 39 | 0.78 (0.09–7.03) | 1.58 (0.36–7.01) |
| School Grade | ||||||
| Kindergarten | 18 | 53 | 19 | 27 | Ref | Ref |
| First Grade | 21 | 67 | 11 | 22 | 0.46 (0.27–0.77) | 0.63 (0.41–0.97) |
| Second Grade | 19 | 60 | 17 | 23 | 0.76 (0.47–1.24) | 0.76 (0.49–1.17) |
| Third Grade + | 42 | 50 | 20 | 30 | 1.08 (0.71–1.65) | 1.15 (0.79–1.66) |
| I would consider enrolling my child in a vaccine trial to receive COVID-19 vaccination | ||||||
| No | 65 | 35 | 25 | 40 | Ref | Ref |
| Yes | 35 | 94 | 4 | 3 | 0.06 (0.04–0.09) | 0.02 (0.01–0.04) |
| Treatments are needed instead of vaccines to fight COVID-19 | ||||||
| Yes | 47 | 65 | 10 | 25 | Ref | Ref |
| No | 53 | 49 | 25 | 26 | 3.40 (2.42–4.78) | 1.41 (1.08–1.83) |
| It is better to be exposed to COVID-19 than to receive a vaccine | ||||||
| Yes | 31 | 78 | 6 | 17 | Ref | Ref |
| No | 69 | 47 | 24 | 29 | 7.70 (4.66–12.72) | 2.94 (2.16–3.99) |
| Trust in Public Health Authorities | ||||||
| Low trust | 31 | 30 | 22 | 48 | Ref | Ref |
| High trust | 69 | 68 | 15 | 16 | 0.31 (0.22–0.44) | 0.15 (0.11–0.20) |
| Confidence in Child Immunization Schedule | ||||||
| Low confidence | 68 | 58 | 16 | 26 | Ref | Ref |
| High confidence | 32 | 53 | 21 | 26 | 1.45 (1.06–1.97) | 1.08 (0.82–1.43) |
| Perceived Susceptibility to Vaccine Preventable Diseases (VPDs) | ||||||
| Low susceptibility | 29 | 39 | 22 | 39 | Ref | Ref |
| High susceptibility | 71 | 65 | 14 | 20 | 0.39 (0.28–0.54) | 0.31 (0.23–0.42) |
| Perceived Severity of VPDs | ||||||
| Low severity | 33 | 49 | 21 | 30 | Ref | Ref |
| High severity | 67 | 61 | 15 | 24 | 0.58 (0.42–0.81) | 0.64 (0.48–0.84) |
| Perceived Vaccine Efficacy | ||||||
| Low efficacy | 22 | 29 | 26 | 44 | Ref | Ref |
| High efficacy | 78 | 66 | 14 | 20 | 0.24 (0.17–0.35) | 0.20 (0.14–0.27) |
| Perceived Vaccine Safety | ||||||
| Low safety | 26 | 28 | 27 | 46 | Ref | Ref |
| High safety | 74 | 70 | 13 | 17 | 0.20 (0.14–0.29) | 0.15 (0.11–0.21) |
aVaccine intention is represented by responses to the Likert scale statement “I want my child to receive COVID-19 vaccination as soon as it is available for children”, with “Strongly Agree” and “Agree” collapsing to Yes, “Neither Agree nor Disagree” to Unsure, and “Disagree” and “Strongly Disagree” to No. OR = Odds Ratio; 95 %CI = 95 % Confidence Interval.
7. Discussion
As of December 14th, 2020, about one quarter (26 %) of surveyed California parents did not intend to vaccinate their child, suggesting skepticism towards the COVID-19 vaccine for children and the potential for pushback to a COVID-19 vaccine school-entry mandate. However, 17 % were unsure of their decision, suggesting the potential for public health messaging to make a positive impact on COVID-19 vaccine confidence and uptake.
These data are similar to a national poll from November 15th, 2021, indicating that 46 % of adults believed the COVID-19 vaccine safe for children 5–17, and 47 % were confident in its efficacy for this age group [7]. With the public less confident in the COVID-19 vaccine than common childhood vaccines, implementing and enforcing vaccine mandates could cause discord between parents, public health authorities, and the government.
To aid in compliance and strengthen COVID-19 vaccine confidence and trust in public health authorities, vaccine perception must be improved among hesitant groups. However, the COVID-19 vaccine landscape is dynamic and strategies to increase vaccination must adapt to the current circumstances. Hospitalization rates are 3 times higher for non-Hispanic Black and Hispanic children compared to non-Hispanic white children, though parents of these minority children have lower intent to vaccinate their children against COVID-19 in our survey.8 Dissemination of reliable information from personal health care providers, local health departments, and community-based organizations is crucial to increase trust and confidence among parents.
This study has several limitations. The data collected are not necessarily generalizable to all California parents due to the potential for selection and response biases. However, survey weighting and anonymous responses should reduce these biases. Our main outcome measure is not a direct measure of intention, as it does not account for issues of accessibility; however, we felt it could be used as a close proxy. We noticed one unexpected result in our data: those confident in the child immunization schedule had higher odds of being unsure. However, confidence in the child immunization schedule was not associated with not intending to vaccinate, and no other counterintuitive associations were found.
Before the implementation of public and private school COVID-19 vaccine mandates in California, public perception and confidence in the vaccine must improve to maintain positive relationships between California parents and public health authorities. This study can contribute to this goal by identifying characteristics of hesitant parents in California to prioritize for research and outreach. These data also provide a baseline for parental attitudes towards vaccinating children against COVID-19 in California, which will be useful for characterizing changes in attitudes towards childhood COVID-19 vaccination over time.
Declaration of Competing Interest
The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Nicola Klein reports financial support was provided by National Institutes of Health. Nicola Klein reports a relationship with Pfizer Inc that includes: funding grants. Nicola Klein reports a relationship with Merck Sharp & Dohme UK Ltd that includes: funding grants. Nicola Klein reports a relationship with GlaxoSmithKline USA that includes: funding grants. Nicola Klein reports a relationship with Sanofi Pasteur Inc that includes: funding grants. Nicola Klein reports a relationship with Protein Sciences Corp that includes: funding grants.
Acknowledgements
This project was funded through a grant from the National Institutes of Health.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.vaccine.2022.12.030.
Appendix A. Supplementary material
The following are the Supplementary data to this article:
Data availability
The authors do not have permission to share data.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The authors do not have permission to share data.
