OBJECTIVES

To assess the effectiveness of distinct message types in promoting coronavirus disease 2019 (COVID-19) vaccination intentions for parents of children and adolescents.

METHODS

We collected data through the Voices of Child Health in Chicago Parent Panel Survey from October to November 2021. Parents were randomly assigned to read 1 of 4 vaccine message types and then report their intentions to vaccinate each COVID-19–unvaccinated child (0–17 years) in their household (n = 1453).

RESULTS

The sample included 898 parents. Compared with a control group (37.5%), the proportion of parents who were very likely to vaccinate their children was higher when messages highlighted that other trusted parents have vaccinated their children (53.3%) or that the vaccine is safe and thoroughly tested (48.9%) but not when messages highlighted that the vaccine is well-tolerated (41.5%). After adjusting for parent and child characteristics, the odds of being very likely to vaccinate remained higher in the trusted parents group but not in the safe/thoroughly tested group. Unlike the control and well-tolerated groups, there were no racial/ethnic disparities in the unadjusted proportion of parents who were very likely to vaccinate in the trusted parents and safe/thoroughly tested groups. Message types affected the unadjusted proportion of COVID-19-unvaccinated parents who were very likely to vaccinate their children.

CONCLUSIONS

Messages that focus on trusted parents choosing to vaccinate their children were more effective at promoting parents’ COVID-19 vaccination intentions for their children than alternative messages. These findings have implications for public health messaging and pediatric providers’ communications with parents.

What’s Known on This Subject:

COVID-19 vaccination rates among children remain low and increasing these rates will be key to controlling the pandemic. However, some messages for parents designed to encourage childhood vaccinations have been shown to be counterproductive.

What This Study Adds:

Messages about other trusted parents vaccinating their children against COVID-19 resulted in higher parental intentions to vaccinate children compared with a control message, but messages about the vaccine being well-tolerated did not.

Achieving high levels of vaccination against coronavirus disease 2019 (COVID-19) is a crucial step to controlling the COVID-19 pandemic that has led to the deaths of >1 million persons in the United States.1  However, persistent vaccine hesitancy that is particularly pronounced among parents is hampering this effort.2  Although rapid COVID-19 vaccine development, testing, approval, and distribution around the globe represent great achievements in modern medical science and public health, parents have expressed concerns that vaccine safety was potentially compromised during the expedited COVID-19 vaccine clinical development process.3  Although vaccination of adults, adolescents, and children is ongoing, vaccinating children will be key to controlling and potentially ending the COVID-19 pandemic.4  A major obstacle is that estimates from geographically and clinically limited studies reveal that fewer than one-half of parents are likely to vaccinate their children against COVID-19.57 

Therefore, it is imperative to understand how different types of messages may influence parents’ intentions to vaccinate their children against COVID-19. This is an urgent need because some methods to encourage vaccination, such as correcting myths about vaccines, have been shown to be counterproductive and inadvertently discourage vaccination.8  For instance, in a previous study that examined how parents responded to messages with incorrect vaccine myths followed by the correct facts, parents’ vaccine misconceptions were strengthened rather than countered.9 

We conducted a population-based survey experiment to test the effectiveness of distinct types of vaccine messages on parents’ intentions to vaccinate their children against COVID-19. This approach affords dual advantages of population-based surveying and experimental methods. It enables the assessment of a large population of interest (ie, parents of COVID-19-unvaccinated children), while also randomly assigning respondents to conditions (ie, brief written messages presented as hypothetical scenarios), thereby strengthening both the external and internal validity of the study.10  This methodology has been used in previous research to test the effectiveness of message types in increasing parents’ intentions to vaccinate their children against measles, mumps, and rubella (MMR), and has been used in other studies of parents’ behavioral intentions related to other aspects of child health.1113 

Data were collected through the Voices of Child Health in Chicago (VOCHIC) Parent Panel Survey, a triannual survey of Chicago parents from all 77 neighborhoods in Chicago on topics related to child, adolescent, and family health. Parents were originally invited to the panel via address-based sampling mailers. Some parents remain in the panel for multiple survey waves, others complete only one survey. Parent eligibility criteria included being ≥18 years old, living within the city of Chicago, and being the parent or guardian of at least 1 child aged 0 to 17 years who lived in the household. The survey was administered by NORC at the University of Chicago in English and Spanish, either online or by telephone between October 18 and November 23, 2021. The sampling approach was multipronged, using returning VOCHIC panel members, NORC’s AmeriSpeak panel members, respondent-driven sampling, and nonprobability samples from other vendor panels. Respondents were compensated $5 if they were returning panel members and $15 if they were joining the VOCHIC panel for the first time because first-time respondents completed a longer demographic survey. Non-probability panel respondents were compensated independently by their home panel. The Institutional Review Boards at Ann & Robert H. Lurie Children’s Hospital and NORC approved all study activities. Samples of parents recruited through the Voices of Child Health in Chicago using the same recruitment methods have informed other previously published research.1416 

Parents were asked if they had already vaccinated any of their children against COVID-19, and any parent who responded that they had at least 1 child who was not yet vaccinated was randomly assigned to read 1 of 4 distinct messages about COVID-19 vaccines. Previous research regarding messages to promote MMR vaccination revealed that communications that either corrected vaccine misconceptions or used fear appeals (eg, highlighted the dangers of diseases prevented by the MMR vaccine) were ineffective at promoting pediatric vaccination intentions among parents.11  Therefore, the current study tested alternative message types familiar from pediatric and public health approaches: (1) the COVID-19 vaccine is well-tolerated by children, with few side effects, (2) the COVID-19 vaccine is safe and tested, (3) trusted parents are vaccinating their children against COVID-19, and (4) a control condition that simply provided information about the anticipated timeline for authorization of vaccine in children (Table 1). Respondents were unaware of other experimental conditions. After reading the vaccine message, parents were asked: “How likely are you to get your child(ren) vaccinated against COVID-19?” Response options were “very likely”, “somewhat likely”, and “not likely”.

TABLE 1

COVID-19 Messages for Each Randomly Assigned Condition

ConditionMessage Text
Introductory information It is likely that the COVID-19 vaccine will be available and recommended for children by this Fall or Winter 2021. Imagine that you have the chance to get your child(ren) under age 18 vaccinated against COVID-19, sometime this coming Fall or Winter 2021. 
1. Well-tolerated The doctor or nurse that your child has seen most often contacts you to say that they hope you get your child vaccinated against COVID-19. They say that kids can sometimes have side effects from the vaccine, like body aches and fever. These don’t happen for all children, and the side effects usually only last for a day or two. 
2. Safe and tested The doctor or nurse that your child has seen most often contacts you to say that they hope you get your child vaccinated against COVID-19. They say that testing of the COVID-19 vaccine included children like your child. The testing, which happened around the United States, showed that the vaccine is effective, and it is also as safe as other vaccines that are given to kids. 
3. Trusted parents You hear from other parents you trust that they have vaccinated their children against COVID-19. Some of them say that they weren’t sure at first about whether the vaccine is safe for kids. But they ended up deciding that it was the best way to fight COVID-19, and the vaccination went fine. They want to keep their kids protected. 
4. Control It is likely that the COVID-19 vaccine will be available and recommended for children by this Fall or Winter 2021. Imagine that you have the chance to get your child(ren) under age 18 vaccinated against COVID-19, sometime this coming Fall or Winter 2021. 
ConditionMessage Text
Introductory information It is likely that the COVID-19 vaccine will be available and recommended for children by this Fall or Winter 2021. Imagine that you have the chance to get your child(ren) under age 18 vaccinated against COVID-19, sometime this coming Fall or Winter 2021. 
1. Well-tolerated The doctor or nurse that your child has seen most often contacts you to say that they hope you get your child vaccinated against COVID-19. They say that kids can sometimes have side effects from the vaccine, like body aches and fever. These don’t happen for all children, and the side effects usually only last for a day or two. 
2. Safe and tested The doctor or nurse that your child has seen most often contacts you to say that they hope you get your child vaccinated against COVID-19. They say that testing of the COVID-19 vaccine included children like your child. The testing, which happened around the United States, showed that the vaccine is effective, and it is also as safe as other vaccines that are given to kids. 
3. Trusted parents You hear from other parents you trust that they have vaccinated their children against COVID-19. Some of them say that they weren’t sure at first about whether the vaccine is safe for kids. But they ended up deciding that it was the best way to fight COVID-19, and the vaccination went fine. They want to keep their kids protected. 
4. Control It is likely that the COVID-19 vaccine will be available and recommended for children by this Fall or Winter 2021. Imagine that you have the chance to get your child(ren) under age 18 vaccinated against COVID-19, sometime this coming Fall or Winter 2021. 

Methodological note: Conditions 1 to 3 were presented with the introductory information, followed by the respective targeted message. The control condition received only the introductory information.

Survey items were written at a 7.4-grade reading level on the basis of the Flesch-Kincaid readability test and were pretested by experts and parents; feedback from parent pretest respondents was used to enhance readability and ensure that questions were interpreted as intended. All survey items can be found on the Voices of Child Health in Chicago Open Science Framework page (osf.io.cjz82).

Parents also provided demographic information (Table 1). For ease of analysis, household income was combined into 3 groups on the basis of federal poverty level17  (FPL; <100% FPL, 100% to 399% FPL, 400%+ FPL). Parents’ self-reported race and ethnicity were combined into 4 groups (Black, white, Latinx, and Asian/other race). Appreciating that race/ethnicity is a social construct, the investigators included parents’ self-reported race/ethnicity because of the strong association of COVID-19 illness with race/ethnicity in the United States and the association of childhood vaccination patterns with race/ethnicity.18,19  Parent education was combined into 3 levels (high school education or below, some college, college degree or higher). Parent age was collapsed into 2 groups (18–35 years and 36+ years).

Parent participants were first recruited from the probability-based VOCHIC panel and NORC’s AmeriSpeak panel at which a 29.4% response rate was observed (708 responses from 2409 eligible invitees). To ensure sufficient sample size to permit subgroup analyses across the randomized exposure groups, the probability sample was augmented by calibration-weighted, nonprobability-based responses obtained through other vendor panels. A response rate (ie, denominator) for the nonprobability sample was unable to be measured because these panels administer opt-in online surveys.

Survey response data were weighted to be representative of the population of Chicago parents. For the probability-based sample, base sampling weights are adjusted to account for nonresponse via a raking ratio method to American Community Survey 18+ Chicago parent population totals associated with the following topline sociodemographic characteristics: age, sex, education, race/ethnicity, and Chicago Community Side, and the following sociodemographic interactions: age × sex, age × race/ethnicity, and race/ethnicity × sex. The combined probability sample and nonprobability sample weights were derived by using small-area estimation methods.20  These methods are frequently used by the US Census Bureau and national survey research organizations because of their efficiency and effectiveness.21,22  Child-level survey weights were created by starting with the calibrated parents’ survey weights and by using a raking ratio method to align the weighted children’s distribution to the American Community Survey Chicago 0- to 17-year-old population totals associated with the following sociodemographic characteristics: age, sex, and race/ethnicity.

Rao-Scott χ2 analyses and logistic regression were used to compare differences in the proportion of parents who were very likely to vaccinate their children against COVID-19 (vs less than very likely) between the randomly assigned messaging groups and by demographic factors. χ2 analysis also was used in subgroup analyses to assess racial/ethnic disparities across the four message groups, and in subgroup analyses to explore message effects separately for parents who were already vaccinated and those who were not. We estimated predicted margins of intention to vaccinate by the message type (ie, trusted parents, safe and tested, well-tolerated, and control) and parent race/ethnicity derived from the adjusted logistic model and after holding each covariate at the observed values. Average marginal effects were the differences between the predicted margins.

Point estimates and confidence intervals (CIs) were adjusted for the clustering of children within households and, therefore, by parent respondent. Analyses were performed in SAS software version 9.4 (SAS Institute, Inc. Cary, North Carolina) and R version 2022.12.0 (RStudy Vienna, Austria) with α significance level set at P <.05.

In total, surveys were completed by 1142 parents who reported on 1977 children in surveyed households. Analyses in the present research are based on responses from 898 parents about 1453 children (73.4%) who had not yet received a COVID-19 vaccine at the time of the survey. Parent and child demographics did not differ significantly between message randomization groups (Table 2).

TABLE 2

Child and Family Demographics for the Overall Analytic Sample and by Each Messaging Condition

OverallCondition: Trusted ParentsCondition: Safe and TestedCondition: Well-ToleratedCondition: Control
Weighted % (Unweighted n)Weighted % (Unweighted n)Weighted % (Unweighted n)Weighted % (Unweighted n)Weighted % (Unweighted n)P
Total child sample n = 1453 n = 325 n = 354 n = 387 n = 387  
Total parents reporting n = 898 n = 217 n = 213 n = 232 n = 236  
Child race/ethnicity      .80 
 Latinx or Hispanic 39.5 (601) 37.0 (120) 41.3 (158) 43.4 (171) 36.2 (152)  
 White, non-Latinx 21.8 (421) 23.0 (101) 23.2 (111) 18.4 (92) 22.8 (117)  
 Black or African American, non-Latinx 30.1 (232) 27.9 (49) 30.0 (55) 30.1 (68) 32.0 (60)  
 Asian/other, non-Latinx 8.5 (196) 12.0 (55) 5.5 (30) 8.1 (53) 9.0 (58)  
Child sex      .46 
 Female 51.1 (771) 50.4 (183) 55.1 (196) 47.5 (191) 51.1 (201)  
 Male 48.9 (668) 49.6 (142) 44.9 (155) 52.4 (189) 48.9 (182)  
Child age, y      .23 
 <5 38.8 (449) 36.6 (96) 36.8 (106) 39.2 (120) 42.0 (127)  
 5–11 43.7 (771) 39.4 (167) 46.0 (187) 47.3 (213) 41.5 (204)  
 12+ 17.5 (233) 24.0 (62) 17.2 (61) 13.5 (54) 16.5 (56)  
Parent race/ethnicity      .59 
 Latinx or Hispanic 37.9 (378) 32.9 (82) 43.8 (101) 39.6 (96) 35.5 (99)  
 White, non-Latinx 31.0 (292) 34.0 (75) 30.0 (68) 31.3 (75) 29.0 (74)  
 Black or African American, non-Latinx 22.1 (159) 21.6 (37) 21.9 (32) 21.3 (47) 23.6 (43)  
 Asian/other, non-Latinx 9.0 (69) 11.5 (23) 4.3 (12) 7.8 (14) 11.9 (20)  
Parent sex      .09 
 Female 57.6 (596) 55.1 (142) 48.9 (124) 59.6 (158) 65.8 (172)  
 Male 42.4 (299) 44.9 (75) 51.1 (88) 40.4 (73) 34.2 (63)  
Parent age, y      .72 
 18–35 39.3 (362) 34.6 (70) 40.7 (88) 40.9 (103) 40.7 (101)  
 36+ 60.7 (536) 65.4 (147) 59.3 (125) 59.1 (129) 59.3 (135)  
Parent education level      .93 
 High school or below 38.1 (197) 40.4 (45) 36.5 (42) 33.3 (52) 39.9 (58)  
 Some college or technical school 22.1 (197) 18.3 (39) 23.8 (49) 23.8 (52) 22.5 (57)  
 College degree or higher 39.8 (497) 41.3 (131) 39.7 (122) 41.0 (126) 37.6 (118)  
Annual household poverty level, % FPL      .98 
 0% to 99% FPL 24.1 (147) 25.0 (31) 24.4 (29) 22.0 (45) 25.1 (42)  
 100% to 399% FPL 41.8 (365) 39.6 (83) 40.2 (83) 45.5 (101) 42.0 (98)  
 ≥400% FPL 34.0 (385) 35.4 (103) 35.4 (101) 32.5 (86) 32.9 (95)  
No of children in household      .88 
 1 43.2 (402) 47.0 (107) 41.2 (93) 43.1 (102) 42.0 (100)  
 2 33.5 (307) 28.8 (70) 36.0 (77) 31.9 (73) 36.9 (87)  
 3 16.8 (139) 19.6 (32) 17.2 (32) 16.7 (41) 13.9 (34)  
 4+ 6.5 (50) 4.6 (8) 5.6 (11) 8.3 (16) 7.2 (15)  
Parent COVID-19 vaccination  status      .97 
 Vaccinated 73.2 (607) 75.0 (155) 72.2 (139) 72.4 (156) 73.1 (157)  
 Not yet vaccinated 26.8 (253) 25.0 (54) 27.8 (66) 27.6 (65) 26.9 (68)  
Survey language      .93 
 English 88.8 (823) 88.9 (198) 87.0 (198) 89.8 (211) 89.3 (216)  
 Spanish 11.2 (75) 11.1 (19) 13.0 (15) 10.2 (21) 10.7 (20)  
Panel source      .89 
 VOCHIC panel 55.5 (483) 56.0 (115) 54.3 (108) 55.5 (123) 56.1 (137)  
 AmeriSpeak panel 5.1 (34) 2.6 (5) 32.5 (85) 6.0 (12) 5.6 (9)  
 Respondent-driven sampling 6.7 (46) 9.7 (16) 7.2 (12) 5.8 (10) 4.4 (8)  
 Nonprobability (Lucid, Dynata) 32.7 (335) 31.6 (81) 6.1 (8) 32.6 (87) 34.0 (82)  
OverallCondition: Trusted ParentsCondition: Safe and TestedCondition: Well-ToleratedCondition: Control
Weighted % (Unweighted n)Weighted % (Unweighted n)Weighted % (Unweighted n)Weighted % (Unweighted n)Weighted % (Unweighted n)P
Total child sample n = 1453 n = 325 n = 354 n = 387 n = 387  
Total parents reporting n = 898 n = 217 n = 213 n = 232 n = 236  
Child race/ethnicity      .80 
 Latinx or Hispanic 39.5 (601) 37.0 (120) 41.3 (158) 43.4 (171) 36.2 (152)  
 White, non-Latinx 21.8 (421) 23.0 (101) 23.2 (111) 18.4 (92) 22.8 (117)  
 Black or African American, non-Latinx 30.1 (232) 27.9 (49) 30.0 (55) 30.1 (68) 32.0 (60)  
 Asian/other, non-Latinx 8.5 (196) 12.0 (55) 5.5 (30) 8.1 (53) 9.0 (58)  
Child sex      .46 
 Female 51.1 (771) 50.4 (183) 55.1 (196) 47.5 (191) 51.1 (201)  
 Male 48.9 (668) 49.6 (142) 44.9 (155) 52.4 (189) 48.9 (182)  
Child age, y      .23 
 <5 38.8 (449) 36.6 (96) 36.8 (106) 39.2 (120) 42.0 (127)  
 5–11 43.7 (771) 39.4 (167) 46.0 (187) 47.3 (213) 41.5 (204)  
 12+ 17.5 (233) 24.0 (62) 17.2 (61) 13.5 (54) 16.5 (56)  
Parent race/ethnicity      .59 
 Latinx or Hispanic 37.9 (378) 32.9 (82) 43.8 (101) 39.6 (96) 35.5 (99)  
 White, non-Latinx 31.0 (292) 34.0 (75) 30.0 (68) 31.3 (75) 29.0 (74)  
 Black or African American, non-Latinx 22.1 (159) 21.6 (37) 21.9 (32) 21.3 (47) 23.6 (43)  
 Asian/other, non-Latinx 9.0 (69) 11.5 (23) 4.3 (12) 7.8 (14) 11.9 (20)  
Parent sex      .09 
 Female 57.6 (596) 55.1 (142) 48.9 (124) 59.6 (158) 65.8 (172)  
 Male 42.4 (299) 44.9 (75) 51.1 (88) 40.4 (73) 34.2 (63)  
Parent age, y      .72 
 18–35 39.3 (362) 34.6 (70) 40.7 (88) 40.9 (103) 40.7 (101)  
 36+ 60.7 (536) 65.4 (147) 59.3 (125) 59.1 (129) 59.3 (135)  
Parent education level      .93 
 High school or below 38.1 (197) 40.4 (45) 36.5 (42) 33.3 (52) 39.9 (58)  
 Some college or technical school 22.1 (197) 18.3 (39) 23.8 (49) 23.8 (52) 22.5 (57)  
 College degree or higher 39.8 (497) 41.3 (131) 39.7 (122) 41.0 (126) 37.6 (118)  
Annual household poverty level, % FPL      .98 
 0% to 99% FPL 24.1 (147) 25.0 (31) 24.4 (29) 22.0 (45) 25.1 (42)  
 100% to 399% FPL 41.8 (365) 39.6 (83) 40.2 (83) 45.5 (101) 42.0 (98)  
 ≥400% FPL 34.0 (385) 35.4 (103) 35.4 (101) 32.5 (86) 32.9 (95)  
No of children in household      .88 
 1 43.2 (402) 47.0 (107) 41.2 (93) 43.1 (102) 42.0 (100)  
 2 33.5 (307) 28.8 (70) 36.0 (77) 31.9 (73) 36.9 (87)  
 3 16.8 (139) 19.6 (32) 17.2 (32) 16.7 (41) 13.9 (34)  
 4+ 6.5 (50) 4.6 (8) 5.6 (11) 8.3 (16) 7.2 (15)  
Parent COVID-19 vaccination  status      .97 
 Vaccinated 73.2 (607) 75.0 (155) 72.2 (139) 72.4 (156) 73.1 (157)  
 Not yet vaccinated 26.8 (253) 25.0 (54) 27.8 (66) 27.6 (65) 26.9 (68)  
Survey language      .93 
 English 88.8 (823) 88.9 (198) 87.0 (198) 89.8 (211) 89.3 (216)  
 Spanish 11.2 (75) 11.1 (19) 13.0 (15) 10.2 (21) 10.7 (20)  
Panel source      .89 
 VOCHIC panel 55.5 (483) 56.0 (115) 54.3 (108) 55.5 (123) 56.1 (137)  
 AmeriSpeak panel 5.1 (34) 2.6 (5) 32.5 (85) 6.0 (12) 5.6 (9)  
 Respondent-driven sampling 6.7 (46) 9.7 (16) 7.2 (12) 5.8 (10) 4.4 (8)  
 Nonprobability (Lucid, Dynata) 32.7 (335) 31.6 (81) 6.1 (8) 32.6 (87) 34.0 (82)  

Vaccine intentions were highest for parents who received the trusted parents message (53.3% very likely, 95% CI: 43.1% to 63.4%), followed by the safe and tested message (48.9%, 95% CI: 39.5% to 58.2%). Lower proportions of very likely to vaccinate responses were found for the well-tolerated message (41.5%, 95% CI: 32.7% to 50.3%) and the control condition (37.5%, 95% CI: 29.5% to 45.4%) (Table 3). Pairwise comparisons indicated that the trusted parents and safe and tested messages were associated with significantly higher vaccination intentions compared with the control condition (P = .02 and P = .03, respectively). The well-tolerated condition did not differ significantly from the control condition (P = .62). Significant differences were not observed in pairwise comparisons between safe and tested and trusted parents (P = .65), well-tolerated and trusted parents (P = .15), or well-tolerated and safe and tested (P = .16).

TABLE 3

Parent-Reported COVID-19 Vaccine Intentions for Their Children, by Messaging Condition

Very LikelySomewhat LikelyNot Likely
Weighted % (Unweighted n)95% CIWeighted % (Unweighted n)95% CIWeighted % (Unweighted n)95% CI
Condition       
 Trusted parents 53.3 (178) 43.1–63.4 21.7 (80) 14.3–29.1 25.1 (67) 16.3–33.9 
 Safe and tested 48.9 (194) 39.5–58.2 20.3 (70) 12.9–27.7 30.8 (90) 21.6–40.1 
 Well-tolerated 41.5 (187) 32.7–50.3 31.5 (116) 23.6–39.5 27.0 (84) 18.6–35.3 
 Control 37.5 (187) 29.5–45.4 36.1 (106) 26.7–45.5 26.4 (94) 18.5–34.4 
Very LikelySomewhat LikelyNot Likely
Weighted % (Unweighted n)95% CIWeighted % (Unweighted n)95% CIWeighted % (Unweighted n)95% CI
Condition       
 Trusted parents 53.3 (178) 43.1–63.4 21.7 (80) 14.3–29.1 25.1 (67) 16.3–33.9 
 Safe and tested 48.9 (194) 39.5–58.2 20.3 (70) 12.9–27.7 30.8 (90) 21.6–40.1 
 Well-tolerated 41.5 (187) 32.7–50.3 31.5 (116) 23.6–39.5 27.0 (84) 18.6–35.3 
 Control 37.5 (187) 29.5–45.4 36.1 (106) 26.7–45.5 26.4 (94) 18.5–34.4 

Results of a logistic regression model that included parent and child demographic variables indicated that the trusted parents message was associated with higher odds of being highly likely to vaccinate a child compared with the control condition (adjusted odds ratio [aOR] = 1.98, 95% CI: 1.14 to 3.44), but the safe and tested and well-tolerated messages were not associated with higher odds of being highly likely to vaccinate a child than the control condition (aOR = 1.59, 95% CI: 0.92 to 2.73; aOR = 1.24, 95% CI: 0.76 to 2.01, respectively). Child and parent demographics also were associated with the odds of being highly likely to vaccinate a child (Table 4).

TABLE 4

Adjusted Odds of Parent Reporting They Are “Very Likely” to Vaccinate Their Child Against COVID-19

Adjusted OR95% CI
Message type   
 Trusted parents 1.98 1.14–3.44 
 Safe and tested 1.59 0.92–2.73 
 Well-tolerated 1.24 0.76–2.01 
 Control Reference  
Child age, y   
 <5 1.90 1.11–3.24 
 5–11 2.47 1.57–3.87 
 12+ Reference  
Parent race and/or ethnicity   
 White, non-Hispanic Reference  
 Black or African American, non-Hispanic 0.54 0.30–0.96 
 Latinx or Hispanic 0.84 0.53–1.33 
 Asian/other, non-Hispanic 1.40 0.70–2.82 
Parent sex   
 Female Reference  
 Male 1.39 0.89–2.18 
Parent age, y   
 18–35 Reference  
 36+ 2.21 1.46–3.36 
Annual household income (% FPL)   
 0% to 99% 0.49 0.27–0.90 
 100% to 399% 0.53 0.34–0.82 
 ≥400% Reference  
Adjusted OR95% CI
Message type   
 Trusted parents 1.98 1.14–3.44 
 Safe and tested 1.59 0.92–2.73 
 Well-tolerated 1.24 0.76–2.01 
 Control Reference  
Child age, y   
 <5 1.90 1.11–3.24 
 5–11 2.47 1.57–3.87 
 12+ Reference  
Parent race and/or ethnicity   
 White, non-Hispanic Reference  
 Black or African American, non-Hispanic 0.54 0.30–0.96 
 Latinx or Hispanic 0.84 0.53–1.33 
 Asian/other, non-Hispanic 1.40 0.70–2.82 
Parent sex   
 Female Reference  
 Male 1.39 0.89–2.18 
Parent age, y   
 18–35 Reference  
 36+ 2.21 1.46–3.36 
Annual household income (% FPL)   
 0% to 99% 0.49 0.27–0.90 
 100% to 399% 0.53 0.34–0.82 
 ≥400% Reference  

OR, odds ratio

Overall, Asian/other parents were most likely to report they were very likely to vaccinate their children (62.3%, 95% CI: 46.5% to 78.1%), followed by white parents (61.6%, 95% CI: 54.8% to 68.4%), Latinx parents (42.8%, 95% CI: 36.1% to 49.5%), and Black parents (30.0%, 95% CI: 19.8% to 40.1%) (omnibus P <.001).

We examined whether there were associations between vaccine intentions and parents’ self-reported race and ethnicity because the COVID-19 pandemic has had a disproportionately negative impact on historically marginalized racial and ethnic groups, and we wanted to understand if some message types were differentially effective at reducing inequities in COVID-19 vaccination intentions. For these analyses, the Asian/other-race group was removed because for this subsample the cell sizes were too small within each randomization group. However, the results were consistent when the Asian/other-race group was included or removed.

In this analysis, health inequity is evidenced by differences in intentions to vaccinate children by race and ethnicity. There were significant differences in vaccination intentions by parent race and ethnicity in 2 conditions: the well-tolerated message and the control condition. In the control condition, 63.2% of white children were very likely to be vaccinated (95% CI: 50.8% to 75.6%), compared with 32.6% of Latinx/Hispanic children (95% CI: 21.5% to 43.6%), and 15.0% of Black children (95% CI: 3.7% to 26.3%; P <.001). Similarly, in the well-tolerated condition, 65.2% of white children were very likely to get vaccinated (95% CI: 49.9% to 80.4%), compared with 39.4% of Latinx/Hispanic children (95% CI: 25.9% to 52.9%), and 20.5% of Black children (95% CI: 6.5% to 34.5%; P <.01) (Table 5).

TABLE 5

Parent-Reported COVID-19 Vaccine Intentions for Their Children, by Message Group and Race/Ethnicity

Trusted ParentsSafe and Tested
% Very likely% Somewhat likely% Not likely% Very likely% Somewhat likely% Not likely
Race/ethnicity       
 Black 49.9 (24.6–75.2) 21.6 (3.9–39.3) 28.5 (10.0–46.9) 40.7 (19.0–62.4) 27.0 (8.0–46.0) 32.3 (9.6–55.0) 
 Latinx/Hispanic 51.6 (35.7–67.5) 19.4 (9.7–29.2) 28.9 (11.6–46.2) 49.6 (36.8–62.4) 20.0 (10.3–29.7) 30.4 (19.0–41.9) 
 White 61.1 (49.2–73.1) 20.3 (11.5–29.1) 18.6 (8.7–28.5) 56.9 (42.6–71.2) 14.7 (5.2–24.2) 28.4 (14.2–42.7) 
  χ2 (4) = 1.3 Omnibus P = .86  χ2 (4) = 2.0 Omnibus P = .73 
 Well-Tolerated Control Condition 
 % Very likely % Somewhat likely % Not likely % Very likely % Somewhat likely % Not likely 
Race/ethnicity       
 Black 20.5 (6.5–34.5) 46.7 (29.4–64.1) 32.8 (16.3–49.3) 15.0 (3.7–26.3) 54.3 (34.2–74.5) 30.7 (13.0–48.3) 
 Latinx/Hispanic 39.4 (25.9–52.9) 31.9 (20.7–43.1) 28.7 (14.5–42.9) 32.6 (21.5–43.6) 29.8 (17.8–41.8) 37.6 (24.4–50.9) 
 White 65.2 (49.9–80.4) 14.7 (4.2–25.2) 20.1 (8.0–32.3) 63.2 (50.8–75.6) 26.7 (15.0–38.4) 10.1 (3.5–16.7) 
  χ2 (4) = 15.6 Omnibus P <.01  χ2 (4) = 28.2 Omnibus P <.001 
Trusted ParentsSafe and Tested
% Very likely% Somewhat likely% Not likely% Very likely% Somewhat likely% Not likely
Race/ethnicity       
 Black 49.9 (24.6–75.2) 21.6 (3.9–39.3) 28.5 (10.0–46.9) 40.7 (19.0–62.4) 27.0 (8.0–46.0) 32.3 (9.6–55.0) 
 Latinx/Hispanic 51.6 (35.7–67.5) 19.4 (9.7–29.2) 28.9 (11.6–46.2) 49.6 (36.8–62.4) 20.0 (10.3–29.7) 30.4 (19.0–41.9) 
 White 61.1 (49.2–73.1) 20.3 (11.5–29.1) 18.6 (8.7–28.5) 56.9 (42.6–71.2) 14.7 (5.2–24.2) 28.4 (14.2–42.7) 
  χ2 (4) = 1.3 Omnibus P = .86  χ2 (4) = 2.0 Omnibus P = .73 
 Well-Tolerated Control Condition 
 % Very likely % Somewhat likely % Not likely % Very likely % Somewhat likely % Not likely 
Race/ethnicity       
 Black 20.5 (6.5–34.5) 46.7 (29.4–64.1) 32.8 (16.3–49.3) 15.0 (3.7–26.3) 54.3 (34.2–74.5) 30.7 (13.0–48.3) 
 Latinx/Hispanic 39.4 (25.9–52.9) 31.9 (20.7–43.1) 28.7 (14.5–42.9) 32.6 (21.5–43.6) 29.8 (17.8–41.8) 37.6 (24.4–50.9) 
 White 65.2 (49.9–80.4) 14.7 (4.2–25.2) 20.1 (8.0–32.3) 63.2 (50.8–75.6) 26.7 (15.0–38.4) 10.1 (3.5–16.7) 
  χ2 (4) = 15.6 Omnibus P <.01  χ2 (4) = 28.2 Omnibus P <.001 

The omnibus P values displayed in this table refer to the P value for the Rao-Scott χ2 test for parent race/ethnicity x COVID-19 vaccine intention (very likely, somewhat likely, and not likely) for each message type. This tests whether intentions to vaccinate differed by parent race/ethnicity across all message groups.

However, in the trusted parents condition and the safe and tested conditions, the difference in vaccination intentions by race and ethnicity was no longer significant. In the trusted parents condition, 61.1% of white children were very likely to be vaccinated (95% CI: 49.2% to 73.1%), followed by 51.6% of Latinx/Hispanic children (95% CI: 35.7% to 67.5%), and 49.9% of Black children (95% CI: 24.6% to 75.2%; P = .86). In the safe and tested condition, 56.9% of white children were very likely to be vaccinated (95% CI: 42.6% to 71.2%), followed by 49.6% of Latinx/Hispanic children (95% CI: 36.8% to 62.4%), and 40.7% of Black children (95% CI: 19.0% to 62.4%; P = .73).

To explore whether there were differences in message effects by parent race/ethnicity, we calculated the average marginal effect of each message type compared with the control message within each parent race/ethnicity group, holding all other covariates at their observed values. The average marginal effect (AME) among Black parents for the trusted parents message was AME = 0.37 (95% CI: 0.12 to 0.63; P <.01), indicating that, among Black parents, receiving the trusted parents message was associated with an increase in intention to vaccinate of 37% compared with the control condition. The average marginal effect among Black parents for the safe and tested condition was AME = 0.28 (95% CI: 0.02 to 0.55; P <.05). These results indicate that the trusted parents message and the safe and tested messages were effective among Black parents. No other average marginal effects were significant.

To understand whether vaccine message type was associated with vaccination intentions among a group of parents who may have been more vaccine-hesitant in general, we examined the effect of message type separately for parents who were not yet vaccinated themselves against COVID-19 and for those who were already vaccinated separately. Among parents who were not yet vaccinated against COVID-19 at the time of data collection (26.8% of parents), there was a significant effect of message type. Higher intentions to vaccinate children were seen in the safe and tested condition (37.7% very likely to vaccinate, 95% CI: 22.1% to 53.3%) and the trusted parents condition (27.8%, 95% CI: 14.4% to 41.1%) and lower intentions were seen in the control condition (16.9%, 95% CI: 7.4% to 26.4%) and the well-tolerated condition (10.4%, 95% CI: 4.3% to 16.6%; omnibus P <.01). Pairwise comparisons among only unvaccinated parents indicated that the trusted parents and safe and tested messages were associated with significantly higher vaccination intentions compared with the control condition (P = .02 and P = .02, respectively).

Among only parents who were already vaccinated, the effect of message type was not significant: 63.7% of parents in the trusted parents condition were very likely to vaccinate (95% CI: 51.8% to 75.7%), followed by 62.4% in the well-tolerated condition (95% CI: 52.1% to 72.6%), 59.0% in the safe and tested condition (95% CI: 48.3% to 69.6%), and 55.0% in the control condition (95% CI: 45.1% to 65.0%; omnibus P = .59).

This study compared the effect of 4 distinct vaccine messages on parents’ COVID-19 vaccine intentions for their children in a large, socioeconomically diverse US city, using a population-based survey experimental method that has been used for other research questions involving parents’ intentions related to their children’s health care, including vaccination against other diseases.1113  Overall, parents’ intentions to vaccinate children were higher if a parent received the trusted parents message compared with a control condition. Intentions to vaccinate children among parents who received the well-tolerated message did not differ significantly from the control condition. In an adjusted model, the trusted parents message was associated with higher odds of intending to vaccinate even after controlling for demographic characteristics. The safe and tested message resulted in a higher unadjusted proportion of parents very likely to vaccinate their child compared with the control condition, but in the logistic regression, the point estimate for this message type, although relatively large, was not significant. This suggests that the safe and tested message may be more effective than the control, but further research is needed to determine this more definitively. Together, these findings illustrate the importance of specific messaging strategies, and raise questions about whether combining the 2 message types, trusted parents and safe and tested, would have an additive effect on intentions to vaccinate children against COVID-19.

Racial and ethnic differences in intentions to vaccinate their children were evident in the control condition and in the well-tolerated condition; however, these differences were not present in the trusted parents and the safe and tested conditions. Findings from the marginal analysis suggest that the trusted parents and the safe and tested messages were particularly effective among Black parents. Among parents who were not yet vaccinated themselves, higher child vaccine intentions were seen in the trusted parents and the safe and tested conditions, compared with the control condition, but not in the well-tolerated condition. Taken together, the findings with respect to race/ethnicity and not-yet-vaccinated parents suggest that specific vaccine messages may be particularly effective at encouraging child vaccination among parents who are vaccine-hesitant.

Among parents who were already vaccinated, none of the message types in the current study resulted in higher child vaccine intentions compared with the control condition. The majority of vaccinated parents were very likely to vaccinate their children in each of the message conditions; therefore, it is possible that vaccinated parents already held positive views of vaccines and that the message types in this study did not elicit a strong enough reaction to further increase their vaccine intentions.

Our findings must be interpreted in the context of potential limitations related to our study context and approach. First, our methodology does not permit within-persons analyses to examine whether parents’ intentions to vaccinate their children increased after reading a message compared with before they read the message. Future research would benefit from evaluating these messages using a pre- post- design to determine the precise change in parents’ intentions to vaccinate their children.

Second, parents in our sample came from a major US city, and it is possible that their attitudes about pediatric COVID-19 vaccines differ from parents who reside in suburban or rural settings. However, the demographics of Chicago are similar to those of the United States more broadly, strengthening the generalizability of these results to broader populations at the national level.23  Third, the current findings reflect parents’ stated intentions to vaccinate their children against COVID-19, rather than actual vaccination behaviors. We do not know whether parent respondents ultimately did or did not vaccinate their children. However, because we asked parents about their intentions at a high level of specificity (eg, intentions for each unvaccinated child in the household), the intentions that we captured may more closely align with vaccination behavior because there is evidence that more specific attitudes and intentions are better predictors of behavior than general attitudes.24  Further research is needed to determine if the message types identified as most effective in this study result in increased vaccination rates in clinical settings. Finally, this survey was administered between October and November 2021, when the Food and Drug Administration’s emergency use authorization for COVID-19 vaccines in children 5 to 11 years old was still new and the emergency use authorization for COVID-19 vaccines in children <5 years old had not yet occurred. The landscape of COVID-19 vaccines for children is continuously evolving, and it is possible that parents’ concerns about the COVID-19 vaccine may change as vaccines move through the Food and Drug Administration approval process. Therefore, continued research on parents’ concerns and vaccine messaging is critical to continue to encourage vaccination as pediatric vaccines become available to wider audiences.

In summary, the results of this study indicate that the most effective messages to encourage parents to vaccinate their children against COVID-19 highlight that other trusted parents have decided to vaccinate their children against COVID-19, and messages that highlight that the vaccine is safe and thoroughly tested may also be effective. Importantly, these results also indicate that messages that focus on the COVID-19 vaccine being well-tolerated by children were less effective at promoting parents’ vaccine intentions for their children. In public health contexts, these findings suggest that it may be beneficial to highlight that other trusted parents have decided to vaccinate their children, and the safety and thorough testing of the vaccine. These findings also may help to guide clinicians’ discussions about child COVID-19 vaccinations with parents. In a clinical context, it may not be feasible for clinicians to highlight that trusted parents are vaccinating their children, but when it is feasible, clinicians may be more successful at encouraging vaccination if they highlight messages about trusted parents and, potentially, vaccine safety and the thorough testing process, rather than how well children tolerate vaccine side effects. This is important given the short amount of time clinicians often have with patients and families; it is critical to focus that time on messages that are most effective at promoting vaccination. Given the continuing pandemic and the centrality of effective vaccination among children in controlling future waves of COVID-19 illness at the population level, such messages may be some of the most important communications that pediatricians are currently providing.

Dr Heffernan designed the study, coordinated and supervised data collection, interpreted data analyses, and drafted the initial manuscript; Dr Kociolek designed the study, interpreted data analyses, and reviewed and revised the manuscript for important intellectual content; Ms Bendelow and Ms Smith designed the study, conducted data analysis and interpretation, and reviewed and revised the manuscript; Ms Menker coordinated data collection, interpreted data analyses, and reviewed and revised the manuscript; Dr Davis conceptualized and designed the study, interpreted data analyses, and reviewed and revised the manuscript for important intellectual content; and all authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

FUNDING: An anonymous family foundation dedicated to supporting research that advances community health in low-resource neighborhoods and the Patrick M. Magoon Institute for Healthy Communities. The anonymous family foundation and the Patrick M. Magoon Institute had no role in the design and conduct of the study.

CONFLICT OF INTEREST DISCLOSURES: The authors have indicated they have no potential conflicts of interest relevant to this article to disclose.

AME

average marginal effect

aOR

adjusted odds ratio

CI

confidence interval

COVID-19

coronavirus disease 2019

FPL

federal poverty level

MMR

measles, mumps, and rubella

VOCHIC

Voices of Child Health in Chicago

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