TABLE 4.
Vaccine-eligible at Time of Initial Interview | Not Vaccine-eligible at Time of Initial Interview* | |||
---|---|---|---|---|
Vaccinated, n (%) (n = 15) | Unvaccinated, n (%) (n = 7) | P † | Unvaccinated, n (%) (n = 13) | |
Have you discussed with a doctor if they would recommend a COVID-19 vaccine for [you/your child]? | ||||
Yes | 9 (60) | 4 (57) | 1.000 | 0 (0) |
No | 6 (40) | 3 (43) | 13 (100) | |
Has [your/your child’s] doctor(s) recommended that [you/your child] get a COVID-19 vaccine, if or when available for [your/their] age group? | ||||
Yes, recommended to get it as soon as possible | 7 (47) | 1 (14) | 0.193 | 0 (0) |
Yes, but recommended to wait to get it | 0 (0) | 1 (14) | 0.318 | 0 (0) |
No | 7 (47) | 5 (71) | 0.381 | 13 (100) |
Not sure | 1 (7) | 0 (0) | 1.000 | 0 (0) |
If a COVID-19 vaccine were available to [you/ your child], would [you/ your child] get it? | ||||
Yes, would get it as soon as possible | 0 (0) | 0 (0) | – | 1 (8) |
Yes, but would wait to get it | 0 (0) | 0 (0) | – | 3 (23) |
No | 1‡ (7) | 5 (71) | 0.004 | 6 (46) |
Not sure | 0 (0) | 2 (29) | 0.091 | 3 (23) |
If [you/your child] will NOT get the vaccine, please explain why not | ||||
Not enough information on the vaccine side effects in children with underlying conditions | NA | 2 (29) | – | 2 (15) |
Not answered/ does not wish to answer | NA | 0 (0) | – | 2 (15) |
Worried about heart inflammation from vaccine | NA | 0 (0) | – | 0 (0) |
Worried about COVID-19 vaccine side effects | NA | 2 (29) | – | 1 (8) |
Child does not want the COVID-19 vaccine | NA | 1 (14) | – | 0 (0) |
How concerned are you about [you/your child] getting reinfected with COVID-19? | ||||
Not at all | 1 (7) | 2 (29) | 0.329 | 2 (15) |
A little | 3 (20) | 0 (0) | 3 (23) | |
Moderately | 3 (20) | 3 (43) | 1 (8) | |
Very | 8 (53) | 2 (29) | 7 (47) | |
How safe do you think a COVID-19 vaccine will be for [you/your child]? | ||||
Not at all | 0 (0) | 4 (57) | <0.001 | 6 (46) |
A little | 0 (0) | 1 (14) | 0 (0) | |
Moderately | 1 (7) | 0 (0) | 1 (8) | |
Very | 13 (87) | 1 (14) | 3 (23) | |
Not sure | 1 (7) | 1 (14) | 1.000 | 3 (23) |
How safe do you think a COVID-19 vaccine will be for children who have NOT had MIS-C or severe COVID-19? | ||||
Not at all | 0 (0) | 1 (14) | 0.080 | 3 (23) |
A little | 0 (0) | 1 (14) | 1 (8) | |
Moderately | 2 (13) | 0 (0) | 2 (15) | |
Very | 12 (80) | 2 (29) | 4 (31) | |
Not sure | 1 (7) | 3 (43) | 0.077 | 4 (31) |
How much do you trust public health agencies’ recommendations about getting COVID-19 vaccines? | ||||
Not at all | 0 (0) | 2 (29) | <0.001 | 5 (38) |
A little | 0 (0) | 2 (29) | 3 (23) | |
Moderately | 5 (33) | 2 (29) | 1 (8) | |
Very much | 10 (67) | 0 (0) | 4 (31) | |
Top 3 most trusted sources of information about COVID-19 vaccines | ||||
Centers for Disease Control and Prevention | 10 (67) | 2 (29) | 0.172 | 9 (69) |
Doctors | 13 (87) | 5 (71) | 0.565 | 11 (85) |
Public health or clinical organizations§ | 4 (27) | 1 (14) | 1.000 | 9 (69) |
Family and friends | 5 (33) | 4 (57) | 0.376 | 5 (38) |
News sources (eg, television, internet and radio) | 3 (20) | 1 (14) | 1.000 | 1 (8) |
Other health care providers¶ | 2 (13) | 1 (14) | 1.000 | 1 (8) |
Social media‖ | 2 (13) | 0 (0) | 1.000 | 2 (15) |
Other** | 2 (13) | 1 (14) | 1.000 | 0 (0) |
Average age at time of interview was 2.3 (range 1–6) years. Eleven children were interviewed before November 2, 2021, and were <12 years old, 2 children were interviewed after November 2, 2021, and were <5 years old.
Comparing responses from vaccinated to unvaccinated children by assigning numeric values to the Likert response scale (excluding “not sure” responses) and performing a Wilcoxon signed-rank test; exact P values used.
Fourteen (93%) of vaccinated children were already vaccinated at time of initial interview so for them this question was not applicable. One (7%) vaccinated child was not yet vaccinated at the time of initial interview so an answer was provided for this question.
Food and Drug Administration, leaders at the National Institute of Health, World Health Organization, state or local health departments, hospital systems, professional organization, health insurers.
Nurses, pharmacists.
Facebook, Twitter, Instagram, LinkedIn, WhatsApp and TikTok.
Union leaders, community-based resources, personal research.