| Literature DB >> 34980631 |
Joanne Enticott1,2, Jaskirath Singh Gill3, Simon L Bacon4,5, Kim L Lavoie4,6, Daniel S Epstein7, Shrinkhala Dawadi3, Helena J Teede3,2, Jacqueline Boyle3,8.
Abstract
OBJECTIVE: To examine SARS-CoV-2 vaccine confidence, attitudes and intentions in Australian adults as part of the iCARE Study. DESIGN ANDEntities:
Keywords: COVID-19; infection control; preventive medicine; public health; respiratory infections
Mesh:
Substances:
Year: 2022 PMID: 34980631 PMCID: PMC8724587 DOI: 10.1136/bmjopen-2021-057127
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Vaccine hesitancy and confidence are complex and can be influenced by many determinants, as identified by the Strategic Advisory Group of Experts on Immunization working group on vaccine hesitancy
| Categories | Examples |
| Contextual socio-politico-cultural factors |
Compatibility of vaccination with religious beliefs. |
| Individual and group influences |
Personal perception of the vaccine. Influences from the social and peer environment. |
| Vaccine-specific factors |
Issues directly related to the vaccine or vaccination. Accelerated development of vaccines for SARS-CoV-2 may increase safety concerns in the population. |
Participant demographics (n=1166)
| Australian population | Sample n (%) 1158 | |
| Age (mean, SD) | 39 | 51.7, 19.3 |
| Age (median, IQR) | 38 | 53, 37.5 |
| Age breakdown* (%) | ||
| 18–29 | 19 | 214 (18) |
| 30–39 | 19 | 175 (15) |
| 40–49 | 17 | 142 (12) |
| 50–59 | 16 | 148 (13) |
| 60–69 | 14 | 143 (12) |
| 70+ | 15 | 336 (29) |
| Sex* (%) | ||
| Males | 50 | 583 (50) |
| Females | 50 | 572 (49) |
| Others/prefers not to answer | 0 | 8 (0.7) |
| Area of residence† (%) | ||
| Urban/city/suburban/regional | 90 | 979 (87) |
| Rural/country | 10 | 142 (13) |
| I don’t know/prefer not to answer | – | 5 (0.4) |
| Location by state/territory (%)* | ||
| New South Wales | 32 | 254 (22) |
| Victoria | 26 | 561 (48) |
| Queensland | 20 | 163 (14) |
| South Australia | 7 | 76 (7) |
| Western Australia | 10 | 82 (7) |
| Tasmania | 2 | 14 (1.2) |
| Australian Capital Territory | 2 | 9 (1) |
| Northern Territory | 1 | 6 (1) |
| | – | 1 (0) |
| Highest education level attained‡ (%) | ||
| Graduate/postgraduate/university degree | 52 | 432 (47) |
| Technical and Further Education (TAFE)/secondary or high school | 45 | 560 (50) |
| Primary school or less | 3 | 12 (1) |
| I don’t know/prefer not to answer | – | 19 (2) |
| Essential worker (%) | 175 (15) | |
| Healthcare workers | 13 (including social assistance) | 80 (7) |
| IRSD quintile (%) | ||
| Quintile 1 – most disadvantaged | 20 | 145 (12) |
| Quintile 2 | 20 | 198 (17) |
| Quintile 3 | 20 | 235 (20) |
| Quintile 4 | 20 | 238 (20) |
| Quintile 5 – least disadvantaged | 20 | 345 (30) |
| Ethnicity§ (%) | ||
| Australian/New Zealand/UK | 73 | 580 (50) |
| Other | 27 | 155 (13) |
| Missing | – | 431 (37) |
Where applicable, variable categories have been collapsed to allow for concordance with national data published by the Australian Bureau of Statistics (ABS).
†The total Australian population was 25 704 340 as of March 2021; the total population and percentage breakdowns by age, sex and state of residence are obtained from the Australian Bureau of Statistics,49 who provide a quarterly release of their official estimates of this demographic data. Age is presented in 10-year bands, and the first band that is comparable with the current study is 20–29 years. The proportion of Australians by age is calculated as the proportion of those 20 years or over.
‡Estimates for percentage of population by area of residence were obtained from the ABS, who release these data yearly.50
§Estimates for the percentage of population by level of education were obtained from the ABS, who release these data yearly.51
¶National estimates for ethnicity were obtained by assessing the ‘country of birth’ data provided by the ABS 2016 Census. Whereas the survey ‘ethnicity’ variable was created using survey responses to the ethnicity item.
IRSD, index of relative socioeconomic disadvantage.
Uptake intentions and attitudes on general vaccines and COVID-19 vaccine and intent to continue engaging in virus-protecting behaviours (mask wearing, social distancing, etc) post-COVID-19 vaccine
| n (%) | |
| Had already received at least 1 dose of COVID-19 vaccine | 27 (2) |
| Likelihood of getting COVID-19 vaccine if it were available today | |
| Extremely likely | 597 (53) |
| Somewhat likely | 283 (25) |
| Unlikely | 88 (8) |
| Very unlikely | 83 (7) |
| I don’t know/prefer not to answer | 80 (7) |
| Generally accept vaccines for yourself or for your children | |
| Always | 736 (65) |
| Mostly | 232 (21) |
| Sometimes | 100 (9) |
| Rarely | 41 (4) |
| Never | 21 (2) |
| Intent to continue engaging in virus-protecting behaviours (mask wearing, social distancing, etc) postvaccine | |
| Most of the time | 526 (47) |
| Some of the time | 343 (31) |
| Seldom | 94 (8) |
| Never | 54 (5) |
| I don’t know/prefer not to answer | 95 (9) |
| Seasonal influenza vaccine over the last 5 years | |
| Every year | 511 (46) |
| 3–4 years | 163 (15) |
| 1–2 years | 202 (18) |
| Never | 218 (19) |
| I don’t know/prefer not to answer | 27 (2) |
Figure 1Vaccine confidence index: responses to the questions about if general vaccines are safe, important, effective, and compatible with your religious beliefs.
Vaccine uptake determinants: univariate regression analyses with possible predictors that influence general vaccine uptake (left columns) and SARS-CoV-2 vaccine uptake (right columns)
| Do you generally accept vaccines for yourself or for your children? | If a vaccine for COVID-19 were available today, what is the likelihood that you would get vaccinated? | |||||
| Outcome: ‘Always’ versus not | Outcome: ‘Extremely likely’ versus not | |||||
| OR | 95% CI | P value | OR | 95% CI | P value | |
| Vaccines confidence (strongly agree vs not strongly agree) | ||||||
| Vaccines are important | 10.6 | 8 to 14.09 | <0.001 | 6.73 | 5.09 to 8.9 | <0.001 |
| Vaccines are safe | 13.45 | 10.08 to 17.94 | <0.001 | 14.67 | 10.92 to 19.71 | <0.001 |
| Vaccines are effective | 14.58 | 10.9 to 19.5 | <0.001 | 14.02 | 10.42 to 18.86 | <0.001 |
| Age (continuous)* | 1.59 | 1.4 to 1.8 | <0.001 | 2.01 | 1.77 to 2.27 | <0.001 |
| Sex | ||||||
| Females | (Ref) | – | – | – | – | – |
| Males | 0.93 | 0.73 to 1.18 | 0.543 | 1.37 | 1.08 to 1.72 | 0.008 |
| Essential worker | ||||||
| No | (Ref) | – | – | – | – | – |
| Yes | 0.72 | 0.52 to 0.995 | 0.047 | 0.65 | 0.47 to 0.9 | 0.009 |
| Healthcare worker | ||||||
| No | (Ref) | – | – | – | - to - | – |
| Yes | 0.51 | 0.32 to 0.8 | 0.004 | 0.53 | 0.33 to 0.84 | 0.007 |
| Residential area | ||||||
| Rural/country area | (Ref) | – | – | – | – | – |
| Suburban/regional | 0.89 | 0.6 to 1.31 | 0.551 | 1.12 | 0.78 to 1.62 | 0.528 |
| Urban/city | 0.85 | 0.56 to 1.28 | 0.425 | 1.3 | 0.88 to 1.92 | 0.187 |
| Major states | ||||||
| Others | (Ref) | – | – | – | – | – |
| VIC (1) | 1.54 | 1.09 to 2.17 | 0.015 | 2.14 | 1.53 to 2.99 | <0.001 |
| QLD (2) | 0.58 | 0.38 to 0.89 | 0.013 | 1.01 | 0.66 to 1.54 | 0.965 |
| NSW (3) | 0.85 | 0.58 to 1.26 | 0.436 | 1.13 | 0.77 to 1.65 | 0.529 |
| Influenza vaccination (over past 5 years) | ||||||
| Never | (Ref) | – | – | – | – | – |
| Once or twice | 1.28 | 0.87 to 1.89 | 0.209 | 1.46 | 0.96 to 2.22 | 0.074 |
| Three or four | 2.76 | 1.81 to 4.2 | <0.001 | 2.53 | 1.64 to 3.89 | <0.001 |
| Every year (five times) | 10.55 | 7.25 to 15.36 | <0.001 | 8.52 | 5.93 to 12.23 | <0.001 |
| Education level | ||||||
| Primary school or less | (Ref) | – | – | – | – | – |
| Secondary/high school | 1.35 | 0.4 to 4.62 | 0.629 | 1.46 | 0.46 to 4.64 | 0.521 |
| TAFE | 0.83 | 0.24 to 2.82 | 0.766 | 0.96 | 0.3 to 3.04 | 0.942 |
| University degree | 0.82 | 0.24 to 2.79 | 0.753 | 1.06 | 0.33 to 3.35 | 0.927 |
| Graduate/postgraduate degree | 0.84 | 0.25 to 2.87 | 0.782 | 1.13 | 0.35 to 3.59 | 0.841 |
| Perceived income level (231, 20.55% of participants did not want to answer/did not know) | ||||||
| Bottom third | (Ref) | – | – | – | – | – |
| Middle third | 0.86 | 0.63 to 1.17 | 0.324 | 0.81 | 0.61 to 1.09 | 0.168 |
| Top third | 1.24 | 0.8 to 1.93 | 0.329 | 0.97 | 0.65 to 1.46 | 0.9 |
| IRSD quintile (area socioeconomic level indicator) | ||||||
| Quintile 1 – most disadvantaged | (Ref) | – | – | – | – | – |
| Quintile 2 | 1.15 | 0.75 to 1.77 | 0.528 | 1.14 | 0.74 to 1.75 | 0.556 |
| Quintile 3 | 1.36 | 0.89 to 2.07 | 0.155 | 1.22 | 0.8 to 1.85 | 0.352 |
| Quintile 4 | 1.2 | 0.79 to 1.82 | 0.388 | 1.21 | 0.8 to 1.83 | 0.369 |
| Quintile 5 – least disadvantaged | 2.11 | 1.41 to 3.15 | <0.001 | 2.27 | 1.53 to 3.37 | <0.001 |
| Ethnicity | ||||||
| Other | (Ref) | – | – | – | – | – |
| Australian/New Zealand/UK | 2.3 | 1.6 to 3.31 | <0.001 | 1.9 | 1.33 to 2.72 | <0.001 |
| Believing that participant is at high risk of COVID-19 | ||||||
| No/don’t know/prefer not to answer | (Ref) | – | ||||
| Yes | 1.52 | 1.08 to 2.14 | 0.016 | |||
*Age variable is scaled to have a mean of 0 and unit SD.
†Ethnicity data were missing for n=431; therefore, results for this variable are exploratory only.
IRSD, index of relative socioeconomic disadvantage.
Factors reported by n=1081 Australians that may influence intent to get the SARS-CoV-2 vaccine
| N (row %) | Combined strongest likelihood * | To a great extent | Somewhat | Very little | Not at all | I don't know | Total |
| Having information that the vaccine is safe and unlikely to have any major long-term side effects | 921 (85) | 661 (61) | 260 (24) | 78 (7) | 50 (5) | 32 (3) | 1081 |
| Having information that the vaccine is effective (ie, provides a high degree of protection | 913 (85) | 661 (61) | 252 (23) | 78 (7) | 58 (5) | 31 (3) | 1080 |
| Knowing that getting vaccinated will help protect others around me | 858 (80) | 548 (51) | 310 (29) | 107 (10) | 72 (7) | 36 (3) | 1073 |
| Trusting the company who developed the vaccine (Pfizer, Moderna, Sinopharm, etc) | 839 (78) | 474 (44) | 365 (34) | 112 (10) | 75 (7) | 50 (5) | 1076 |
| Receiving the vaccine dose(s) according to the manufacturers’ instructions | 818 (76) | 505 (47) | 313 (29) | 122 (11) | 90 (8) | 42 (4) | 1072 |
| Wanting to contribute to high population rates of vaccination to achieve ‘herd immunity’ | 791 (74) | 476 (44) | 315 (29) | 131 (12) | 101 (9) | 52 (5) | 1075 |
| The convenience of getting the vaccine (eg, requires little time, no need to travel far) | 772 (72) | 417 (39) | 355 (33) | 143 (13) | 118 (11) | 42 (4) | 1075 |
| Getting a recommendation from my doctor to get vaccinated | 774 (72) | 438 (41) | 336 (31) | 163 (15) | 97 (9) | 37 (3) | 1071 |
| Believing that I am high risk of getting COVID-19 or suffering severe complications | 729 (69) | 361 (34) | 368 (35) | 175 (17) | 119 (11) | 37 (3) | 1060 |
| Learning that being vaccinated would allow me to attend public events (eg, concerts, sporting events) or travel | 734 (68) | 422 (39) | 312 (29) | 179 (17) | 121 (11) | 39 (4) | 1073 |
| Seeing more and more people getting the vaccine | 708 (66) | 335 (31) | 373 (35) | 191 (18) | 135 (13) | 34 (3) | 1068 |
| Hearing that other people have positive attitudes towards the vaccine | 687 (64) | 306 (29) | 381 (36) | 195 (18) | 151 (14) | 35 (3) | 1068 |
| Only needing one dose of the vaccine to be protected | 647 (61) | 302 (28) | 345 (32) | 203 (19) | 159 (15) | 56 (5) | 1065 |
| Believing that getting vaccinated would reduce my worries and anxiety | 635 (60) | 273 (26) | 362 (34) | 225 (21) | 156 (15) | 43 (4) | 1059 |
| Getting a recommendation from my employer to get vaccinated | 386 (52) | 158 (21) | 228 (31) | 163 (22) | 147 (20) | 44 (6) | 740 |
*Combined ‘somewhat’ and ‘to a great extent’ responses. Influencing factors are ranked in descending order, from most likely to influence SARS-CoV-2 vaccine uptake to least likely.