| Literature DB >> 35809825 |
Zhiyuan Hou1, Kuimeng Song2, Qian Wang3, Shujie Zang3, Shiyi Tu3, Tracey Chantler4, Heidi J Larson5.
Abstract
With approval of more COVID-19 vaccines for children, vaccine attributes may influence parental acceptance and choices. We aimed to assess effects of vaccine attributes and information on herd immunity on childhood COVID-19 vaccine acceptance. A survey experiment was conducted with caregivers of children aged 6 months to 11 years old and health care workers (HCWs) in China from September 14 to November 18, 2021. Respondents were randomly assigned to receive differing information on herd immunity (> 80% of the entire population must be vaccinated; or no information). Respondents then completed eight discrete choice tasks to assess vaccine acceptance based on attributes. 2331 (90.07%) of 2588 surveyed caregivers and 1576 (92.71%) of 1700 surveyed HCWs would accept COVID-19 vaccination for children, respectively. High Odds Ratios (OR) were found for acceptance of a vaccine with 90% over 50% efficacy (OR 6.70 [95% CI 6.11-7.35] for caregivers; 11.44 [10.12-12.95] for HCWs); and risk of adverse reactions to be 1 over 10 in 10,000 (3.96 [3.72-4.22] for caregivers; 2.98 [2.76-3.22] for HCWs). To achieve herd immunity target (> 80% vaccination coverage), vaccine efficacy should reach over 70% and risk of adverse reactions lower than 1 in 10,000. Knowledge on herd immunity target increased the odds of vaccine acceptance (1.82 [1.34-2.46] for caregivers; 2.42 [1.58-3.72] for HCWs). Childhood COVID-19 vaccine acceptance was high in China, independent of child's age, and depended on vaccine attributes.Entities:
Keywords: Acceptance; COVID-19 vaccine; Child; China; Survey experiment
Mesh:
Substances:
Year: 2022 PMID: 35809825 PMCID: PMC9259187 DOI: 10.1016/j.ypmed.2022.107138
Source DB: PubMed Journal: Prev Med ISSN: 0091-7435 Impact factor: 4.637
Fig. 1Childhood COVID-19 vaccine acceptance from caregivers and health care workers (HCWs) by region.
Notes: Chi-square tests with P values were used to compare vaccine acceptance between caregivers and HCWs; across regions for caregivers; and across regions for HCWs.
Main effect model with three COVID-19 vaccine attributes from Discrete Choice Experiment.
| Vaccine attributes | Caregivers | Health care workers | ||
|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |
| Vaccine efficacy | ||||
| 50% (ref) | ||||
| 70% | 2.92⁎⁎⁎ | (2.75,3.09) | 4.01⁎⁎⁎ | (3.73,4.32) |
| 90% | 6.70⁎⁎⁎ | (6.11,7.35) | 11.44⁎⁎⁎ | (10.12,12.95) |
| Risk of adverse reactions | ||||
| 10/10000 (ref) | ||||
| 1/10000 | 3.96⁎⁎⁎ | (3.72,4.22) | 2.98⁎⁎⁎ | (2.76,3.22) |
| Number of doses administered | ||||
| 1 dose (ref) | ||||
| 2 doses | 1.06⁎⁎⁎ | (1.03,1.09) | 1.07⁎⁎⁎ | (1.03,1.11) |
| Constant | 1.30⁎⁎⁎ | (1.24,1.36) | 1.32⁎⁎⁎ | (1.25,1.40) |
| Observations | 36,990 | 25,458 | ||
| Log likelihood | −8823.03 | −5782.38 | ||
| Wald χ2(df) | 2343.59(5)⁎⁎⁎ | 1726.59(5)⁎⁎⁎ | ||
Notes: ①OR, odds ratio; CI, confidence interval. ②Estimations are based on a conditional logit model. ③ ***P≦0.001.
Fig. 2a. Predicted probability of caregivers' acceptance of 12 hypothetical COVID-19 vaccines for children. b Predicted probability of health care workers' acceptance of 12 hypothetical COVID-19 vaccines for children.
Univariate analysis and logistic regression of childhood COVID-19 vaccine acceptance among caregivers.
| Variables | Total, no.(%) | Univariate analysis | Logistic regression | |||
|---|---|---|---|---|---|---|
| Acceptance, no.(%) | Hesitancy, no.(%) | OR(95%CI) | ||||
| Total | 2588 | 2331(90.07) | 257(9.93) | NA | NA | NA |
| Region | ||||||
| Anhui(ref) | 1000(38.64) | 866(86.60) | 134(13.40) | NA | NA | |
| Shenzhen | 472(18.24) | 406(86.02) | 66(13.98) | 1.18(0.80,1.74) | 0.403 | |
| Shaanxi | 1116(43.12) | 1059(94.89) | 57(5.11) | 2.59(1.79,3.73) | ||
| Urban or rural | ||||||
| Rural(ref) | 962(37.17) | 910(94.59) | 52(5.41) | NA | NA | |
| Urban | 1626(62.83) | 1421(87.39) | 205(12.61) | 0.55(0.36,0.82) | ||
| Age | ||||||
| ≤30(ref) | 762(29.44) | 671(88.06) | 91(11.94) | 0.174 | NA | NA |
| ~35 | 1039(40.15) | 944(90.86) | 95(9.14) | 1.38(0.97,1.95) | 0.074 | |
| ~40 | 456(17.62) | 416(91.23) | 40(8.77) | 1.47(0.92,2.36) | 0.106 | |
| >40 | 331(12.79) | 300(90.63) | 31(9.37) | 0.95(0.54,1.67) | 0.848 | |
| Educational level | ||||||
| High school or below(ref) | 1154(44.59) | 1076(93.24) | 78(6.76) | NA | NA | |
| Junior college | 685(26.47) | 617(90.07) | 68(9.93) | 0.77(0.51,1.17) | 0.225 | |
| Bachelor or higher degree | 749(28.94) | 638(85.18) | 111(14.82) | 0.52(0.33,0.81) | ||
| Religious belief | ||||||
| None(ref) | 2332(90.11) | 2107(90.35) | 225(9.65) | 0.148 | NA | NA |
| Buddhism or others | 256(9.89) | 224(87.50) | 32(12.50) | 0.87(0.57,1.35) | 0.538 | |
| Occupation | ||||||
| Civil servant(ref) | 397(15.34) | 345(86.90) | 52(13.10) | NA | NA | |
| Enterprise personnel | 608(23.49) | 538(88.49) | 70(11.51) | 1.43(0.94,2.18) | 0.098 | |
| Freelancer | 892(34.47) | 802(89.91) | 90(10.09) | 1.22(0.79,1.90) | 0.366 | |
| Self-employed | 250(9.66) | 227(90.80) | 23(9.20) | 1.51(0.83,2.76) | 0.174 | |
| Peasant | 441(17.04) | 419(95.01) | 22(4.99) | 1.18(0.61,2.28) | 0.626 | |
| Residence registration | ||||||
| Local resident(ref) | 2079(80.33) | 1883(90.57) | 196(9.43) | 0.084 | NA | NA |
| Internal migrant | 509(19.67) | 448(88.02) | 61(11.98) | 1.06(0.73,1.52) | 0.762 | |
| Annual household income (1000 Renminbi) | ||||||
| ≤20(ref) | 526(20.32) | 499(94.87) | 27(5.13) | NA | NA | |
| 20–50 | 509(19.67) | 469(92.14) | 40(7.86) | 0.73(0.42,1.26) | 0.261 | |
| 50–100 | 667(25.77) | 597(89.51) | 70(10.49) | 0.57(0.34,0.95) | ||
| 100–200 | 533(20.60) | 464(87.05) | 69(12.95) | 0.62(0.36,1.06) | 0.080 | |
| >200 | 353(13.64) | 302(85.55) | 51(14.45) | 0.67(0.37,1.21) | 0.182 | |
| Relationship with the child | ||||||
| Mother(ref) | 1990(76.89) | 1783(89.60) | 207(10.40) | 0.118 | NA | NA |
| Father | 420(16.23) | 380(90.48) | 40(9.52) | 1.17(0.78,1.73) | 0.450 | |
| Others | 178(6.88) | 168(94.38) | 10(5.62) | 1.63(0.73,3.67) | 0.237 | |
| Gender of the child | ||||||
| Boy(ref) | 1352(52.24) | 1225(90.61) | 127(9.39) | 0.339 | NA | NA |
| Girl | 1236(47.76) | 1106(89.48) | 130(10.52) | 0.88(0.67,1.16) | 0.370 | |
| Age of the child | ||||||
| ~11(ref) | 207(8.00) | 191(92.27) | 16(7.73) | 0.054 | NA | NA |
| ≤1 | 191(7.38) | 172(90.05) | 19(9.95) | 1.60(0.73,3.51) | 0.236 | |
| ~2 | 259(10.01) | 226(87.26) | 33(12.74) | 0.80(0.39,1.63) | 0.540 | |
| ~3 | 268(10.36) | 243(90.67) | 25(9.33) | 1.09(0.52,2.26) | 0.824 | |
| ~4 | 489(18.89) | 425(86.91) | 64(13.09) | 0.81(0.43,1.54) | 0.526 | |
| ~5 | 604(23.34) | 548(90.73) | 56(9.27) | 1.32(0.70,2.49) | 0.398 | |
| ~6 | 570(22.02) | 526(92.28) | 44(7.72) | 1.17(0.61,2.24) | 0.629 | |
| Family with only one child | ||||||
| No(ref) | 1460(56.41) | 1322(90.55) | 138(9.45) | 0.355 | NA | NA |
| Yes | 1128(43.59) | 1009(89.45) | 119(10.55) | 0.92(0.67,1.27) | 0.623 | |
| Confidence in general vaccines, mean(SD) | 4.32(0.82) | 4.36(0.81) | 3.92(0.88) | 1.58(1.37,1.81) | ||
| COVID-19 self-vaccination | ||||||
| No(ref) | 202(7.81) | 162(80.20) | 40(19.80) | NA | NA | |
| Yes | 2386(92.19) | 2169(90.91) | 217(9.09) | 2.49(1.62,3.83) | ||
| Perceived risk of COVID-19 infection for children | ||||||
| Low(ref) | 758(29.29) | 619(81.66) | 139(18.34) | NA | NA | |
| High | 1830(70.71) | 1712(93.55) | 118(6.45) | 2.73(1.99,3.74) | ||
| Perceived severity of COVID-19 if children infected | ||||||
| Low(ref) | 513(19.82) | 423(82.46) | 90(17.54) | NA | NA | |
| High | 2075(80.18) | 1908(91.95) | 167(8.05) | 1.46(1.04,2.04) | ||
| Knowledge on herd immunity | ||||||
| Not know(ref) | 742(28.67) | 635(85.58) | 107(14.42) | NA | NA | |
| Know | 1846(71.33) | 1696(91.87) | 150(8.13) | 1.82(1.34,2.46) | ||
| Information on herd immunity provided | ||||||
| No(ref) | 1295(50.04) | 1159(89.50) | 136(10.50) | 0.331 | NA | NA |
| Yes | 1293(49.96) | 1172(90.64) | 121(9.36) | 1.11(0.84,1.47) | 0.460 | |
Notes: OR, odds ratio; CI, confidence interval; NA, not applicable.
Univariate analysis and logistic regression of childhood COVID-19 vaccine acceptance among health care workers.
| Variables | Total, no.(%) | Univariate analysis | Logistic regression | |||
|---|---|---|---|---|---|---|
| Acceptance, no.(%) | Hesitancy, no.(%) | OR(95%CI) | ||||
| Total | 1700 | 1576(92.71) | 124(7.29) | NA | NA | NA |
| Region | ||||||
| Anhui(ref) | 756(44.47) | 669(88.49) | 87(11.51) | NA | NA | |
| Shenzhen | 305(17.94) | 286(93.77) | 19(6.23) | 1.66(0.89,3.10) | 0.112 | |
| Shaanxi | 639(37.59) | 621(97.18) | 18(2.82) | 3.35(1.91,5.88) | ||
| Urban or rural | ||||||
| Rural(ref) | 659(38.76) | 626(94.99) | 33(5.01) | NA | NA | |
| Urban | 1041(61.24) | 950(91.26) | 91(8.74) | 0.64(0.40,1.04) | 0.073 | |
| Gender | ||||||
| Male(ref) | 319(18.76) | 300(94.04) | 19(5.96) | 0.308 | NA | NA |
| Female | 1381(81.24) | 1276(92.40) | 105(7.60) | 0.78(0.45,1.36) | 0.387 | |
| Age | ||||||
| ≤30(ref) | 521(30.65) | 470(90.21) | 51(9.79) | NA | NA | |
| ~35 | 350(20.59) | 325(92.86) | 25(7.14) | 0.96(0.51,1.80) | 0.899 | |
| ~40 | 314(18.47) | 285(90.76) | 29(9.24) | 0.94(0.45,1.96) | 0.867 | |
| >40 | 515(30.29) | 496(96.31) | 19(3.69) | 1.75(0.77,3.98) | 0.183 | |
| Educational level | ||||||
| High school or below(ref) | 109(6.41) | 101(92.66) | 8(7.34) | 0.415 | NA | NA |
| Junior college | 613(36.06) | 575(93.80) | 38(6.20) | 1.66(0.69,4.01) | 0.259 | |
| Bachelor or higher degree | 978(57.53) | 900(92.02) | 78(7.98) | 1.12(0.46,2.70) | 0.803 | |
| Religious belief | ||||||
| None(ref) | 1592(93.65) | 1481(93.03) | 111(6.97) | 0.050 | NA | NA |
| Buddhism or others | 108(6.35) | 95(87.96) | 13(12.04) | 0.79(0.40,1.55) | 0.488 | |
| Type of facility | ||||||
| Community health center(ref) | 1077(63.35) | 1019(94.61) | 58(5.39) | NA | NA | |
| Hospital | 623(36.65) | 557(89.41) | 66(10.59) | 0.53(0.34,0.82) | ||
| Vaccination services engagement | ||||||
| Routine vaccination(ref) | 592(34.82) | 564(95.27) | 28(4.73) | NA | NA | |
| COVID-19 vaccination | 762(44.82) | 696(91.34) | 66(8.66) | 0.57(0.34,0.95) | ||
| Not engaged at all | 346(20.35) | 316(91.33) | 30(8.67) | 0.56(0.31,1.01) | 0.055 | |
| Working years | ||||||
| ≤1(ref) | 153(9.00) | 142(92.81) | 11(7.19) | 0.235 | NA | NA |
| ~5 | 426(25.06) | 386(90.61) | 40(9.39) | 0.67(0.32,1.42) | 0.297 | |
| ~10 | 312(18.35) | 289(92.63) | 23(7.37) | 0.84(0.37,1.94) | 0.688 | |
| >10 | 809(47.59) | 759(93.82) | 50(6.18) | 0.99(0.41,2.40) | 0.992 | |
| Title | ||||||
| Junior(ref) | 787(46.29) | 719(91.36) | 68(8.64) | NA | NA | |
| Intermediate | 758(44.59) | 707(93.27) | 51(6.73) | 1.11(0.65,1.89) | 0.700 | |
| Senior | 155(9.12) | 150(96.77) | 5(3.23) | 1.72(0.59,5.05) | 0.322 | |
| Confidence in general vaccines, mean(SD) | 4.46(0.84) | 4.48(0.85) | 4.24(0.67) | 1.22(0.99,1.51) | 0.059 | |
| COVID-19 self-vaccination | ||||||
| No(ref) | 42(2.47) | 40(95.24) | 2(4.76) | 0.765 | NA | NA |
| Yes | 1658(97.53) | 1536(92.64) | 122(7.36) | 0.44(0.10,2.01) | 0.288 | |
| Perceived risk of COVID-19 infection for children | ||||||
| Low(ref) | 294(17.29) | 244(82.99) | 50(17.01) | NA | NA | |
| High | 1406(82.71) | 1332(94.74) | 74(5.26) | 2.26(1.41,3.64) | ||
| Perceived severity of COVID-19 if children infected | ||||||
| Low(ref) | 262(15.41) | 221(84.35) | 41(15.65) | NA | NA | |
| High | 1438(84.59) | 1355(94.23) | 83(5.77) | 1.56(0.95,2.57) | 0.079 | |
| Knowledge on herd immunity | ||||||
| Not know(ref) | 318(18.71) | 271(85.22) | 47(14.78) | NA | NA | |
| Know | 1382(81.29) | 1305(94.43) | 77(5.57) | 2.42(1.58,3.72) | ||
| Information on herd immunity provided | ||||||
| No(ref) | 854(50.24) | 791(92.62) | 63(7.38) | 0.895 | NA | NA |
| Yes | 846(49.76) | 785(92.79) | 61(7.21) | 1.01(0.68,1.49) | 0.973 | |
Notes: OR, odds ratio; CI, confidence interval; NA, not applicable.