| Literature DB >> 35062692 |
Celia B Fisher1,2, Aaliyah Gray2, Isabelle Sheck2.
Abstract
On 29 October 2021, the U.S. FDA authorized the Pfizer-BioNTech COVID-19 (SARS-CoV-2) vaccine for emergency use in children ages 5-11 years. Racial/ethnic minorities have born the greatest burden of pediatric COVID-19 infection and hospitalization. Research indicates high prevalence of parental vaccine hesitancy among the general population, underscoring the urgency of understanding how race/ethnicity may influence parents' decision to vaccinate their children. Two weeks prior to FDA approval, 400 Hispanic and non-Hispanic Asian, Black, and White parents of children 5-10 years participated in an online survey assessing determinants of COVID-19 pediatric vaccine hesitancy. Compared to 31% Black, 45% Hispanic, and 25% White parents, 62% of Asian parents planned to vaccinate their child. Bivariate and multivariate ordinal logistic regression demonstrated race/ethnicity, parental vaccine status, education, financial security, perceived childhood COVID-19 susceptibility and severity, vaccine safety and efficacy concerns, community support, and FDA and physician recommendations accounted for 70.3% of variance for vaccine hesitancy. Findings underscore the importance of multipronged population targeted approaches to increase pediatric COVID-19 vaccine uptake including integrating health science literacy with safety and efficacy messaging, communication efforts tailored to parents who express unwillingness to vaccinate, and interventions developed in partnership with and delivered through existing trusted community coalitions.Entities:
Keywords: COVID-19; children; health disparities; parents; pediatric vaccine hesitancy; racial diversity
Year: 2021 PMID: 35062692 PMCID: PMC8778198 DOI: 10.3390/vaccines10010031
Source DB: PubMed Journal: Vaccines (Basel) ISSN: 2076-393X
Frequencies and percentages for parent and child characteristics and factors influencing vaccine hesitancy and acceptability by plans to vaccinate child against COVID-19.
| Total Sample | Yes or Probably Will | Unsure | No or Probably Not | ||
|---|---|---|---|---|---|
| 35.83 (7.70) | 36.70 (6.53) | 35.54 (9.50) | 35.00 (7.47) | 0.15 | |
|
| 0.02 * | ||||
| Did not attend college | 107 (26.8%) | 32 (19.6%) | 34 (34.3%) | 41 (29.7%) | |
| Some college or higher | 293 (73.3%) | 131 (80.4%) | 65 (65.7%) | 97 (70.3%) | |
|
| 0.004 * | ||||
| Less than $20,000 | 156 (39%) | 51 (31.3%) | 49 (49.5%) | 56 (40.6%) | |
| Between $20,000 and $50,999 | 178 (44.5%) | 75 (46%) | 39 (39.4%) | 64 (46.4%) | |
| Between $51,000 and $79,999 | 49 (12.3%) | 27 (16.6%) | 5 (5.1%) | 17 (12.3%) | |
| Preferred not to answer | 17 (4.3%) | 10 (6.1%) | 6 (6.1%) | 1 (0.7%) | |
|
| 0.01 * | ||||
| Cannot make ends meet | 90 (22.5%) | 25 (15.3%) | 30 (30.3%) | 35 (25.4%) | |
| Have just enough or comfortable | 310 (77.5%) | 138 (84.7%) | 69 (69.7%) | 103 (74.6%) | |
|
| 0.17 | ||||
| Northeast | 66 (16.5%) | 29 (17.8%) | 15 (15.2%) | 22 (15.9%) | |
| Midwest | 132 (33%) | 53 (32.5%) | 41 (41.4%) | 38 (27.5%) | |
| South | 110 (27.5%) | 40 (24.5%) | 29 (29.3%) | 41 (29.7%) | |
| West | 92 (23%) | 41 (25.2%) | 14 (14.1%) | 37 (26.8%) | |
|
| <0.001 * | ||||
| No | 173 (43.3%) | 19 (11.7%) | 51 (51%) | 103 (74.6%) | |
| Yes | 227 (56.8%) | 144 (88.3%) | 48 (48.5%) | 35 (25.4%) | |
|
| 0.71 | ||||
| No | 191 (47.8%) | 81 (49.7%) | 44 (44.4%) | 66 (47.8%) | |
| Yes | 209 (52.3%) | 82 (50.3%) | 55 (55.6%) | 72 (52.2%) | |
| 7.66 (1.70) | 7.94 (1.68) | 7.49 (1.62) | 7.46 (1.74) | 0.12 | |
| 5 to 7 years old | 194 (48.5%) | 69 (42.3%) | 52 (52.5%) | 73 (52.9%) | |
| 8 to 10 years old | 206 (51.5%) | 94 (57.7%) | 47 (47.5%) | 64 (47.1%) | |
|
| 0.16 | ||||
| Male | 214 (53.5) | 77 (47.2%) | 61 (61.6%) | 76 (55.1%) | |
| Female | 185 (46.3) | 85 (52.1%) | 38 (38.4%) | 62 (44.9%) | |
| Gender nonbinary | 1 (0.3) | 1 (0.6%) | 0% | 0% | |
|
| 0.81 | ||||
| No | 200 (50%) | 80 (49.1%) | 49 (49.5%) | 71 (51.4%) | |
| Yes | 196 (49%) | 81 (49.7%) | 50 (50.5%) | 65 (47.1%) | |
| I don’t know | 4 (1%) | 2 (1.2%) | 0% | 2 (1.4%) | |
|
| 0.34 | ||||
| No | 437 (86.8%) | 144 (88.3%) | 88 (88.9%) | 115 (83.3%) | |
| Yes | 0% | 0% | 0% | 0% | |
| I don’t know | 54 (13.3%) | 19 (11.7%) | 11 (11.1%) | 23 (16.7%) | |
|
| <0.001 * | ||||
| 1.47 (1.65) | .88 (1.23) | 1.30 (1.51) | 2.28 (1.85) | ||
| More COVID-19 misconceptions | 29 (7.2%) | 3 (1.8%) | 6 (6.1%) | 20 (14.5%) | |
| Less COVID-19 misconceptions | 371 (92.8%) | 160 (98.2%) | 93 (93.9%) | 118 (85.5%) | |
|
| <0.001 * | ||||
| 4.06 (1.33) | 4.39 (1.06) | 4.37 (1.22) | 3.45 (1.49) | ||
| Greater perceived susceptibility | 317 (79.3%) | 145 (89%) | 85 (85.9%) | 87 (63%) | |
| Less perceived susceptibility | 83 (20.8%) | 18 (11%) | 14 (14.1%) | 51 (37%) | |
|
| <0.001 * | ||||
| 3.87 (1.06) | 4.17 (.96) | 4.03 (.96) | 3.41 (1.09) | ||
| Greater perceived severity | 317 (79.3%) | 144 (88.3%) | 86 (86.9%) | 87 (63%) | |
| Less perceived severity | 83 (20.8%) | 19 (11.7%) | 13 (13.1%) | 51 (37%) | |
|
| <0.001 * | ||||
| 3.17 (1.24) | 2.41 (1.03) | 3.25 (.89) | 4.01 (1.14) | ||
| Greater mistrust in vaccines | 211 (52.8%) | 38 (23.3%) | 60 (60.6%) | 113 (81.9%) | |
| Less mistrust in vaccines | 189 (47.3%) | 125 (76.7%) | 39 (39.4%) | 25 (18.1%) | |
|
| <0.001 * | ||||
| 3.96 (1.19) | 4.79 (.89) | 3.97 (.80) | 2.98 (.95) | ||
| Greater perceived safety and efficacy | 322 (80.5%) | 158 (96.6%) | 93 (93.9%) | 71 (51.4%) | |
| Less perceived safety and efficacy | 78 (19.5%) | 5 (3.1%) | 6 (6.1%) | 67 (48.6%) | |
|
| <0.001 * | ||||
| 3.26 (0.94) | 3.68 (0.86) | 3.23 (0.81) | 2.78 (0.89) | ||
| Greater perceived community support | 315 (78.8%) | 148 (90.8%) | 81 (81.8%) | 86 (62.3%) | |
| Less perceived community support | 85 (21.3%) | 15 (9.2%) | 18 (18.2%) | 52 (37.7%) | |
|
| <0.001 * | ||||
| 3.99 (1.70) | 5.20 (.99) | 4.04 (1.17) | 2.52 (1.52) | ||
| Greater influence of FDA approval | 261 (65.3%) | 154 (94.5%) | 72 (72.7%) | 35 (25.4%) | |
| Less influence of FDA approval | 139 (34.8%) | 9 (5.5%) | 27 (27.3%) | 103 (74.6%) | |
|
| <0.001 * | ||||
| 3.88 (1.69) | 5.06 (.99) | 3.99 (1.30) | 2.39 (1.43) | ||
| Greater influence of physician recommendation | 250 (62.5%) | 153 (93.6%) | 66 (66.7%) | 31 (22.5%) | |
| Less influence of physician recommendation | 150 (37.5%) | 10 (6.1%) | 33 (33.3%) | 107 (77.5%) | |
Note. Statistical tests: Analysis of Variance (ANOVA) for parent age; Chi-square tests of independence for all other variables. * indicates significance, p < 0.05, 0.01, or 0.001.
Frequencies and percentages for parent and child characteristics, plans to vaccinate child against COVID-19, and factors influencing COVID-19 vaccine hesitancy and acceptability by race/ethnicity.
| Total Sample | Non-Hispanic Asian ( | Non-Hispanic Black ( | Hispanic/ | Non-Hispanic White ( | ||
|---|---|---|---|---|---|---|
| 35.83 (7.70) | 36.13 (5.74) | 35.90 (8.02) | 33.91 (7.24) | 37.37 (9.10) | 0.01 * | |
|
| 0.25 | |||||
| Did not attend college | 107 (26.8%) | 19% | 30% | 29% | 29% | |
| Some college or higher | 293 (73.3%) | 81% | 70% | 71% | 71% | |
|
| <0.001 * | |||||
| Less than $20,000 | 156 (39%) | 31% | 52% | 31% | 42% | |
| Between $20,000 and $50,999 | 178 (44.5%) | 43% | 41% | 54% | 40% | |
| Between $51,000 and $79,999 | 49 (12.3%) | 15% | 4% | 14% | 16% | |
| Preferred not to answer | 17 (4.3%) | 11% | 3% | 1% | 2% | |
|
| 0.04 | |||||
| Cannot make ends meet | 90 (22.5%) | 15% | 32% | 21% | 22% | |
| Have just enough or comfortable | 310 (77.5%) | 85% | 68% | 79% | 78% | |
|
| 0.23 | |||||
| Northeast | 66 (16.5%) | 14% | 13% | 15% | 24% | |
| Midwest | 132 (33%) | 34% | 34% | 36% | 28% | |
| South | 110 (27.5%) | 23% | 35% | 25% | 27% | |
| West | 92 (23%) | 29% | 18% | 24% | 21% | |
|
| <0.001 * | |||||
| No | 173 (43.3%) | 23% | 56% | 42% | 52% | |
| Yes | 227 (56.8%) | 77% | 44% | 58% | 48% | |
|
| 0.15 | |||||
| No | 191 (47.8%) | 53% | 46% | 39% | 53% | |
| Yes | 209 (52.3%) | 47% | 54% | 61% | 47% | |
| 7.66 (1.70) | 7.88 (1.59) | 7.81 (1.72) | 7.81 (1.73) | 7.14 (1.67) | <0.001 * | |
| 5 to 7 years old | 194 (48.5%) | 44% | 43% | 40% | 67% | |
| 8 to 10 years old | 206 (51.5%) | 56% | 57% | 60% | 33% | |
|
| 0.16 | |||||
| Male | 214 (53.5) | 44% | 54% | 62% | 54% | |
| Female | 185 (46.3) | 55% | 46% | 38% | 46% | |
| Gender nonbinary | 1 (0.3) | 1% | 0% | 0% | 0% | |
|
| 0.44 | |||||
| No | 200 (50%) | 58% | 46% | 45% | 51% | |
| Yes | 196 (49%) | 42% | 52% | 54% | 48% | |
| I don’t know | 4 (1%) | 0% | 2% | 1% | 1% | |
|
| 0.03 * | |||||
| No | 437 (86.8%) | 94% | 89% | 81% | 83% | |
| Yes | 0% | 0% | 0% | 0% | 0% | |
| I don’t know | 54 (13.3%) | 6% | 11% | 18% | 17% | |
|
| <0.001 * | |||||
| No or probably not | 138 (34.5%) | 22% | 34% | 32% | 50% | |
| Unsure | 99 (24.8%) | 16% | 35% | 23% | 25% | |
| Yes or probably will | 163 (40.8%) | 62% | 31% | 45% | 25% | |
|
| 0.04 * | |||||
| 1.47 (1.65) | 1.41 (1.78) | 1.29 (1.48) | 1.40 (1.40) | 1.77 (1.88) | ||
| More COVID-19 misconceptions | 29 (7.2%) | 8% | 5% | 3% | 13% | |
| Less COVID-19 misconceptions | 371 (92.8%) | 92% | 95% | 97% | 87% | |
|
| 0.01 * | |||||
| 4.06 (1.33) | 4.37 (1.15) | 4.10 (1.31) | 4.25 (1.31) | 3.51 (1.41) | ||
| Greater perceived susceptibility | 317 (79.3%) | 88% | 76% | 84% | 69% | |
| Less perceived susceptibility | 83 (20.8%) | 12% | 24% | 16% | 31% | |
|
| 0.02 * | |||||
| 3.87 (1.06) | 4.05 (.93) | 3.86 (1.19) | 4.07 (1.01) | 3.51 (1.01) | ||
| Greater perceived severity | 317 (79.3%) | 86% | 80% | 82% | 69% | |
| Less perceived severity | 83 (20.8%) | 14% | 20% | 18% | 31% | |
|
| 0.01 * | |||||
| 3.17 (1.24) | 2.81 (1.20) | 3.38 (1.13) | 3.32 (1.34) | 3.18 (1.23) | ||
| Greater vaccine mistrust | 211 (52.8%) | 39% | 62% | 59% | 51% | |
| Less vaccine mistrust | 189 (47.3%) | 61% | 38% | 41% | 49% | |
|
| 0.13 | |||||
| 3.96 (1.19) | 4.27 (1.05) | 3.82 (1.18) | 4.00 (1.25) | 3.76 (1.200) | ||
| Greater perceived safety and efficacy | 322 (80.5%) | 88% | 77% | 81% | 76% | |
| Less perceived safety and efficacy | 78 (19.5%) | 12% | 23% | 19% | 24% | |
|
| 0.04 * | |||||
| 3.26 (0.94) | 3.50 (0.99) | 3.22 (0.83) | 3.33 (0.96) | 2.99 (0.93) | ||
| Greater perceived community support | 315 (78.8%) | 85% | 81% | 80% | 69% | |
| Less perceived community support | 85 (21.3%) | 15% | 19% | 20% | 31% | |
|
| 0.003 * | |||||
| 3.99 (1.70) | 4.58 (1.49) | 3.89 (1.66) | 3.99 (1.68) | 3.50 (1.79) | ||
| Greater influence of FDA approval | 261 (65.3%) | 79% | 63% | 65% | 54% | |
| Less influence of FDA approval | 139 (34.8%) | 21% | 37% | 35% | 46% | |
|
| 0.001 * | |||||
| 3.88 (1.69) | 4.42 (1.58) | 3.62 (1.66) | 4.00 (1.65) | 3.46 (1.72) | ||
| Greater influence of physician recommendation | 250 (62.5%) | 77% | 57% | 65% | 51% | |
| Less influence of physician recommendation | 150 (37.5%) | 23% | 43% | 35% | 49% | |
Note. Statistical tests: Analysis of Variance (ANOVA) for parent age; Chi-square tests of independence for all other variables. * indicates significance above p < 0.05.
Figure 1Endorsement of factors influencing pediatric COVID-19 vaccine acceptance and hesitancy by parents’ plans to vaccinate their child against COVID-19. Chi-square tests of association with Bonferonni adjusted p-values indicated significant differences among parental plans to vaccinate their child against COVID-19 for all factors, p < 0.001.
Figure 2Endorsement of factors influencing parental pediatric COVID-19 vaccine acceptance and hesitancy by race/ethnicity. Chi-square tests of association with Bonferonni adjusted p-values indicated that race/ethnicity was significantly associated with plans to vaccinate child against COVID-19 for all variables (range = p < 0.05–p < 0.001), with the exception of perceived pediatric COVID-19 vaccine safety and efficacy (p = 0.13).