| Literature DB >> 34281009 |
Ivana Gusar1,2, Suzana Konjevoda1,3, Grozdana Babić1, Dijana Hnatešen2,4,5, Maja Čebohin2,5,6, Rahela Orlandini7,8, Boris Dželalija1,3,8.
Abstract
Despite world-level efforts and the endeavors of scientists and medical professionals in suppressing the COVID-19 pandemic, inadequate levels of vaccine literacy of the general population can represent a grave obstacle. The aim of this study was to evaluate COVID-19 vaccine literacy in the Croatian adult general population before vaccination began. The specific objectives were to test differences regarding socio-demographic characteristics and to examine perceptions and attitudes about vaccination against COVID-19 considering the level of VL against COVID-19. A cross-sectional study with a translated and psychometrically tested questionnaire was conducted in 1227 participants before the start of vaccination, from 15 to 31 January 2021. The results show a medium level of vaccine literacy (M = 2.37, SD = 0.54) and a significant difference between functional and interactive-critical vaccine literacy (p < 0.001). The level of vaccine literacy grew with the level of education (p = 0.031) and reduced with age (p < 0.001). Participants who were employed, had chronic diseases, took medicine, or consumed alcohol daily had a lower level of vaccine literacy. There is room for progress in the COVID-19 VL level for the adult population in Croatia, especially at the interactive-critical VL, which could have an important role in people accepting the vaccine against the COVID-19 disease. A satisfactory level of vaccine literacy in the population is necessary because it can contribute to the fight against the pandemic.Entities:
Keywords: COVID-19; general population; pandemic; vaccination; vaccine literacy
Mesh:
Substances:
Year: 2021 PMID: 34281009 PMCID: PMC8297136 DOI: 10.3390/ijerph18137073
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Demographic characteristics of the participants (n = 1227).
| Variable | Number ( | Percentage (%) | |
|---|---|---|---|
| Gender | Males | 292 | 23.8 |
| Females | 935 | 76.2 | |
| Age | 18–24 | 374 | 30.5 |
| 25–34 | 406 | 33.1 | |
| 35–44 | 202 | 16.5 | |
| 45–54 | 115 | 9.4 | |
| 55–64 | 76 | 6.2 | |
| ≥65 | 54 | 4.4 | |
| Education | Elementary school | 30 | 2.4 |
| High school | 517 | 42.1 | |
| Undergraduate | 277 | 22.6 | |
| Graduate | 331 | 27 | |
| Master | 62 | 5.1 | |
| Doctorate | 10 | 0.8 | |
| Occupational status | Employed | 767 | 62.5 |
| Non-employed | 386 | 31.5 | |
| Retired | 74 | 6 | |
| I suffer from a chronic illness. | Yes | 227 | 18.5 |
| No | 1000 | 81.5 | |
| I use medication daily as recommended by my doctor. | Yes | 551 | 44.9 |
| No | 676 | 55.1 | |
| I consume tobacco products daily. | Yes | 387 | 31.5 |
| No | 840 | 68.5 | |
| I consume alcohol products daily. | Yes | 49 | 4 |
| No | 1178 | 96 | |
| I have been properly vaccinated so far. | Yes | 1128 | 91.9 |
| No | 99 | 8.1 | |
| I have had COVID-19. | Yes | 219 | 17.8 |
| No | 702 | 57.2 | |
| I do not know | 306 | 25 | |
| I have been in self-isolation. | Yes | 364 | 29.7 |
| No | 794 | 64.7 | |
| Yes, multiple times | 69 | 5.6 |
Factor Loading—PCA (n = 1227).
| Items | Factor 1 | Factor 2 |
|---|---|---|
| 1 | 0.142463 |
|
| 2 | 0.118460 |
|
| 3 | 0.168398 |
|
| 4 | 0.134923 |
|
| 5 |
| −0.224153 |
| 6 |
| 0.031209 |
| 7 |
| −0.028863 |
| 8 |
| −0.145471 |
| 9 |
| −0.142782 |
| 10 |
| −0.063800 |
| 11 |
| −0.065123 |
| 12 |
| −0.020569 |
bold—the greatest correlation.
Figure 1COVID-19 VL level considering age (n = 1227).
COVID-19 functional and interactive-critical VL level considering age (n = 1227).
| Age | Functional Mean | Interactive-Critical | Vaccine Literacy | ||||
|---|---|---|---|---|---|---|---|
| 18–24 | 374 (30.5) | 2.95 (0.69) | 2.24 (0.78) | 2.47 (0.57) | |||
| 25–34 | 406 (33.1) | 2.98 (0.68) | 2.09 (0.78) | 2.39 (0.54) | |||
| 35–44 | 202 (16.5) | 2.77 (0.70) | <0.001 | 2.09 (0.69) | <0.001 | 2.32 (0.51) | <0.001 |
| 45–54 | 115 (9.4) | 2.74 (0.51) | 1.95 (0.61) | 2.21 (0.46) | |||
| 55–64 | 76 (6.2) | 2.69 (0.69) | 1.96 (0.68) | 2.20 (0.49) | |||
| ≥65 | 54 (4.4) | 2.21 (0.77) | 2.16 (0.78) | 2.18 (0.54) |
* possible range from 1 to 4; ** t-test.
Attitudes and perceptions about future COVID-19 vaccines and VL.
| Variable | VL Functional Score | VL Interactive-Critical Score | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| A * | Mean (SD) |
| df | A* | Mean (SD) |
| df | |||
| Will it be possible to produce safe and efficacious vaccines? | Yes | 2.86 (0.71) | 63.25 | 2452 | <0.01 | Yes | 2.12 (0.75) | 31.40 | 2452 | <0.01 |
| No | 1.32 (0.46) | No | 1.32 (0.46) | |||||||
| Will you get vaccinated, if possible? | Yes | 2.86 (0.71) | 53.67 | 2452 | <0.01 | Yes | 2.12 (0.75) | 22.82 | 2452 | <0.01 |
| No | 1.53 (0.49) | No | 1.53 (0.49) | |||||||
| Will authorities succeed in vaccinating the entire population? | Yes | 2.86 (0.71) | 44.83 | 2452 | <0.01 | Yes | 2.12 (0.75) | 11.82 | 2452 | <0.01 |
| No | 1.83 (0.36) | No | 1.83 (0.36) | |||||||
| Would you pay a fee to be vaccinated? | Yes | 2.86 (0.71) | 47.01 | 2452 | <0.01 | Yes | 2.12 (0.75) | 15.21 | 2452 | <0.01 |
| No | 1.74 (0.43) | No | 1.74 (0.43) | |||||||
| Should children be vaccinated too? | Yes | 2.86 (0.71) | 46.74 | 2452 | <0.01 | Yes | 2.12 (0.75) | 14.83 | 2452 | <0.01 |
| No | 1.75 (0.43) | No | 1.75 (0.43) | |||||||
* Answers; ** t-test.