| Literature DB >> 35727599 |
Linlin Wu1, Zhuoying Huang1, Xiang Guo1, Jiechen Liu1, Xiaodong Sun1.
Abstract
This study aimed to understand the willingness of and affecting factors of non-national immunization program (non-NIP) vaccines among children's parents during the COVID-19 era in Shanghai, China. A cross-sectional survey was conducted with parents who attended vaccination clinics in four out of 16 districts in Shanghai, China. Data was obtained using a self-administered structured questionnaire. A multivariate logistic regression model was used to analyze factors associated with vaccination acceptability. In total, 1691 valid questionnaires were obtained. Of the participants, 69.5% (1,176/1,691) reported being interested in non-NIP vaccines for their children. Further, respondents were more likely to be willing to get non-NIP vaccines for their children if they had an income of 10,000-20,000CNY or more, an educational level of college or above, and if getting the vaccination was moderately convenient or convenient. Respondents were less likely to be willing to get the vaccines if they were in the 30-39 age group and had moderate or low satisfaction with the vaccine. Many parents are willing to get non-NIP vaccines for their children. However, some demographic factors, perceived convenience and satisfaction of vaccination, perceived necessity, safety and price barrier of non- NIP influenced the acceptability of non-NIP vaccines in Shanghai. Our findings can help guide future efforts to increase non-NIP vaccines acceptability.Entities:
Keywords: Acceptability; Non-NIP vaccines; Parents; Vaccination
Mesh:
Substances:
Year: 2022 PMID: 35727599 PMCID: PMC9302520 DOI: 10.1080/21645515.2022.2069427
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 4.526
Figure 1.Flowchart of sample size determination method.
The socio-demographics of the participants (N = 1,691).
| Variables | n | % |
|---|---|---|
| Gender | ||
| Male | 844 | 49.9 |
| Female | 847 | 50.1 |
| Age (years) | ||
| 20–29 | 600 | 35.5 |
| 30–30 | 974 | 57.6 |
| ≥40 | 117 | 6.9 |
| Educational level | ||
| Junior high school or less | 191 | 11.3 |
| High school or technical school | 633 | 37.4 |
| College or above | 867 | 51.3 |
| Immigration status | ||
| Resident | 859 | 50.8 |
| Migrant | 832 | 49.2 |
| Monthly household income per capita (CNY) | ||
| <5,000 | 112 | 6.6 |
| 5,000–10,000 | 700 | 41.4 |
| 10,000–20,000 | 372 | 22.0 |
| >20,000 | 507 | 30.0 |
| Number of children at home | ||
| 1 | 664 | 59.8 |
| ≥2 | 446 | 40.2 |
Association between categorical variables and acceptance of childhood non-NIP vaccines.
| Variables | Total sample (N=1,691) | Willing | Not willing | χ2 | p |
|---|---|---|---|---|---|
| Gender | 10.70 | <.001 | |||
| Male | 844 (49.9) | 556 (47.3) | 288 (55.9) | ||
| Female | 847 (50.1) | 620 (52.7) | 227 (44.1) | ||
| Age (years) | 189.74 | <.001 | |||
| 20–29 | 600 (35.5) | 530 (45.1) | 70 (13.6) | ||
| 30–39 | 974 (57.6) | 549 (46.7) | 425 (82.5) | ||
| ≥40 | 117 (6.9) | 97 (8.2) | 20 (3.9) | ||
| Educational level | 24.05 | <.001 | |||
| Junior high school or less | 191 (11.3) | 123 (10.5) | 68 (13.2) | ||
| High school or technical school | 633 (37.4) | 420 (35.7) | 213 (41.4) | ||
| College or above | 867 (51.3) | 633 (53.8) | 234 (45.4) | ||
| Immigration status | 16.66 | <.001 | |||
| Resident | 859 (50.8) | 636 (54.1) | 223 (43.3) | ||
| Migrant | 832 (49.2) | 540 (45.9) | 292 (56.7) | ||
| Monthly household income per capita (CNY) | 19.75 | <.001 | |||
| <5000 | 112 (6.6) | 62 (5.3) | 50 (9.7) | ||
| 5000–10,000 | 700 (41.4) | 468 (39.8) | 232 (45.0) | ||
| 10,000–20,000 | 372 (22.0) | 270 (23.0) | 102 (19.8) | ||
| >20,000 | 507 (30.0) | 376 (32.0) | 131 (25.4) | ||
| Number of children at home | 0.38 | 0.537 | |||
| 1 | 664 (59.82) | 626 (59.7) | 38 (61.29) | ||
| ≥2 | 446 (40.18) | 422 (40.3) | 24 (38.71) | ||
| Convenience of immunization clinic | 85.77 | <.001 | |||
| Convenient | 1296 (76.6) | 964 (82.0) | 332 (64.5) | ||
| Moderate | 258 (15.3) | 160 (13.6) | 98 (19.0) | ||
| Inconvenient | 137 (8.1) | 52 (4.4) | 85 (16.5) | ||
| Satisfaction with vaccination | 6.95 | 0.031 | |||
| Good | 1389 (82.1) | 980 (83.3) | 409 (79.4) | ||
| Moderate | 244 (14.4) | 164 (13.9) | 80 (15.5) | ||
| Bad | 58 (3.4) | 32 (2.7) | 26 (5.0) |
Bivariate correlates of childhood non-NIP vaccines acceptability for continuous variables.
| Mean(SD) | ||||
|---|---|---|---|---|
| Willing | Not wiling | p | Bivariate OR (95%CI) | |
| Knowledge about non-NIP vaccinesa | 3.5(0.9) | 3.0(1.0) | <.001 | 1.73(1.62–1.86) |
| Perceived effectiveness of non-NIP vaccinesb | 4.1(1.1) | 3.6(1.1) | <.001 | 1.18(1.13–1.23) |
| Perceived safety of non-NIP vaccinesc | 3.4(1.5) | 2.9(1.7) | <.001 | 1.25(1.20–1.31) |
| Perceived necessity of non-NIP vaccinesd | 3.6(1.3) | 3.1(1.4) | <.001 | 1.33(1.27–1.40) |
| The price of non-NIP vaccines affects immunization decisione | 3.1(1.5) | 2.5(1.5) | <.001 | 1.34(1.27–1.42) |
Note: OR =odds ratio; CI = confidence interval.
Note: aproportion of the 6 items pertaining to knowledge that were answered correctly (possible range = 0–1).
Note: b1item; 5-point response scale ranging from “not at all” to “very” (possible range = 1–5).
Note: c1item; 5-point response scale ranging from “not at all” to “very” (possible range = 1–5).
Note: d1item; 5-point response scale ranging from “not at all” to “very” (possible range = 1–5).
Note: e1item; 5-point response scale ranging from “very” to “not at all” (possible range = 1–5).
Multivariable correlates of non-NIP vaccine acceptability.
| Variables | β | Wald | P | OR (95%CI) |
|---|---|---|---|---|
| Gender | ||||
| Female | 1 | |||
| Male | −0.03 | 0.05 | 0.832 | 0.97 (.75–1.26) |
| Age (years) | ||||
| 20–29 | ref | |||
| 30–39 | −1.37 | 21.73 | <.001 | 0.25 (.14–.45) |
| ≥40 | −0.60 | 3.62 | 0.057 | 0.55 (.30–1.02) |
| Educational level | ||||
| Junior high school or less | ref | |||
| High school or technical school | −0.40 | 2.65 | 0.104 | 0.67 (.42–1.08) |
| College or above | 0.86 | 29.61 | <.001 | 2.36 (1.73–3.23) |
| Immigration status | ||||
| Migrant | ref | |||
| Resident | 0.21 | 2.57 | 0.109 | 1.23 (.95–1.60) |
| Monthly household income per capita | ||||
| ≤5000 | ref | |||
| 5000–10,000 | 0.27 | 1.77 | 0.184 | 1.31 (.88–1.97) |
| 10,000–0000 | 0.50 | 10.09 | <.001 | 1.65 (1.21–2.26) |
| ≥20,000 | 0.80 | 7.83 | 0.005 | 2.23 (1.27–3.90) |
| Convenience of immunization clinic | ||||
| Inconvenient | ref | |||
| Moderate | 0.38 | 3.94 | 0.047 | 1.45 (1.01–2.11) |
| Convenient | 1.54 | 40.64 | <.001 | 4.68 (2.91–7.52) |
| Immunization experience | ||||
| Good | ref | |||
| Moderate | −0.59 | 8.53 | 0.003 | 0.55 (.37–.82) |
| Bad | −1.54 | 12.31 | <0.001 | 0.22 (.09–.51) |
| Knowledge about non-NIP vaccines | 0.57 | 51.30 | <0.001 | 1.77 (1.51–2.07) |
| Perceived effectiveness of non-NIP vaccines | 0.11 | 2.20 | 0.138 | 1.12 (.97–1.29) |
| Perceived safety of non-NIP vaccines | 0.19 | 6.94 | 0.008 | 1.20 (1.05–1.38) |
| Perceived necessity of non-NIP vaccines | 0.13 | 2.53 | 0.118 | 1.14 (.97–1.35) |
| The price of non-NIP vaccines affects immunization decisions | 0.36 | 32.76 | <.001 | 1.43 (1.27–1.62) |