The known: Aboriginal and Torres Strait Islander people were among the first groups in Australia to be targeted for vaccination against coronavirus disease 2019 (COVID‐19.
The new: Our survey indicated that most Aboriginal and Torres Strait Islander people believed the COVID‐19 vaccines to be very or extremely trustworthy (71%) and very or extremely effective (73%), but levels varied by sex and location.
The implications: Health messages in future pandemics should be tailored to the concerns of their target audiences, particularly those of Aboriginal and Torres Strait Islander women and people living in regional and remote areas.
The initial impact of the coronavirus disease 2019 (COVID‐19) pandemic on Aboriginal and Torres Strait Islander people (Indigenous Australians) was similar to that for non‐Indigenous people in Australia. By May 2020, 153 Indigenous Australians had tested positive for COVID‐19 (2.2% of 6808 confirmed cases in Australia), none of whom had died (there had been 98 COVID‐19‐related deaths of non‐Indigenous Australians).1 This situation can be partly attributed to the application of lessons learned from the 2009 influenza A virus subtype H1N1 pandemic, in which Indigenous Australians were disproportionately affected.2,3,4 The impact of the H1N1 pandemic on Indigenous Australians was disproportionate because of a range of health determinants, including overcrowded housing and high mobility.5,6,7,8 The lessons from the H1N1 pandemic, coupled with persistent social determinants of poor health, meant that action to minimise harm to Indigenous communities during the COVID‐19 pandemic was more decisive.9,10,11,12 Leadership by Aboriginal community controlled health organisations (ACCHOs) guided government policy responses and the implementation of these policies in communities.13,14
Despite the overall success of the COVID‐19 response for Indigenous communities, two factors could influence responses to future pandemics: firstly, the extent to which Indigenous communities accessed and interpreted COVID‐19 health messaging; and secondly, the extent to which COVID‐19 health messaging influenced the attitudes and behaviours of Indigenous community members in relation to COVID‐19 vaccines, and whether they influenced annual influenza vaccinations. Further, it remains unclear whether messaging and actions to prevent the spread of COVID‐19, coupled with an upsurge of health misinformation, desensitised people to messages about other vaccines.15,16,17 These factors have implications for future pandemics and health messaging strategies for Indigenous communities. Consequently, we examined the knowledge of Indigenous people about COVID‐19 vaccines, and their attitudes to and behaviours regarding COVID‐19 and influenza vaccinations.
Methods
The author team comprised a Gaangalu man (SS), an Igbo man (VMO), a non‐Indigenous man (AS), a Yiman man (JW), a Euralayie and Kooma woman (MT), and a Pitjantjatjara and Nukunu man (JSW).
Study design and recruitment
In this article, we report the results from the Yarning About COVID project, in which a cross‐sectional survey was administered to Indigenous people aged 16 years or older during 1 October 2021 – 31 May 2022. We used a convenience sampling approach to recruit participants for an anonymous survey on the online Qualtrics platform. The survey could be accessed via a QR code included in promotional documents or a link published on the University of Queensland Poche Centre for Indigenous Health website. The survey link was shared by the Poche Centre, the National Aboriginal Community Controlled Health Organisation, and members of the community governance committee established to provide project oversight (from Indigenous health peak bodies, ACCHOs, and Queensland Health). The survey comprised a maximum of 40 questions. The Indigenous health peak bodies and ACCHOs involved in the study design were the Aboriginal Health and Medical Research Council of NSW (AHMRC), the Aboriginal Health Council of South Australia (AHCSA), Kimberley Aboriginal Medical Services (KAMS), the Institute for Urban Indigenous Health (IUIH) the Strategic Communications Branch of Queensland Health, the Queensland Aboriginal and Islander Health Council (QAIHC), the National Aboriginal Community Controlled Health Organisation (NACCHO), and the Australian Indigenous Doctors’ Association (AIDA).
Survey design
The survey (Supporting Information) was used to collect information on socio‐demographic characteristics, knowledge about COVID‐19 vaccines, and attitudes to and behaviours regarding COVID‐19 and influenza vaccinations. The survey questions were developed and presented to the Aboriginal and Torres Strait Islander Advisory Group on COVID‐19 by two authors (SS, JSW). Members of the community governance committee also reviewed the survey questions. Questions pertaining to general health and chronic conditions were adapted from the Health Assessment Questionnaire18 and the MOS 36‐item short‐form health survey.19
Sample size
In 2021, the population of Indigenous people in Australia was projected to be 812 000.20 A sample size of 550 was calculated as being required to detect 50% of the Indigenous population having adequate knowledge of COVID‐19 vaccines with a 95% confidence level and 5% margin of error, assuming a 30% non‐response rate.
Statistical analysis
Age was categorised into five groups (16–29, 30–39, 40–49, 50–59, and 60 years or older); geographic location was dichotomised as urban (major city) and regional or remote (regional area, country town and remote community); general health was categorised into good to excellent, average, and fair to poor.
Socio‐demographic characteristics were stratified by sex. Categorical data are summarised as numbers and proportions, continuous data as medians with interquartile ranges (IQRs). Responses to COVID‐19 and influenza vaccine‐related knowledge, attitude and behaviour questions were stratified by sex (male, female) and location (urban, regional and remote). Only valid responses were included in analyses; missing data were not imputed. The statistical significance of group differences was assessed in χ2 tests. Univariable and multivariable robust Poisson regression analyses21,22,23 were used to assess relationships of socio‐demographic factors and influenza vaccination (covariates) with COVID‐19 vaccination, intention to be fully vaccinated against COVID‐19, and intention to receive COVID‐19 booster vaccines (outcomes). Separate regression analyses were conducted for each of these outcomes. Socio‐demographic factors associated with any of the three COVID‐19 vaccination outcomes at P < 0.30 in univariable models were considered for inclusion in the multivariable model; we included age, sex, location, educational qualification, presence of a chronic condition, general health and previous history of influenza vaccination, even when P > 0.30, given evidence that these factors are associated with COVID‐19 vaccine uptake.24 Estimates of the regression analyses are presented as prevalence ratios (PRs) with 95% confidence intervals (CIs). Statistical analysis was conducted in Stata 17. P < 0.05 was deemed statistically significant.
Ethics approval
The study was approved by the University of Queensland Human Research Ethics Committee (2021/HE001218). the Western Australian Aboriginal Health Ethics Committee (HREC1115), the Aboriginal Health and Medical Research Council of New South Wales Human Research Ethics Committee (1872/21), and the Aboriginal Health Research Ethics Committee of the Aboriginal Health Research Council of South Australia (04‐21‐959).
Results
A total of 661 people accessed the survey; 113 did not provide consent, and 18 were excluded from the analysis (16 did not include age, one indicated sex as “other”, and one was younger than 16 years), leaving a final sample of 530 people. The median age of participants was 27 (IQR, 23–38) years. Overall, 305 survey participants (58%) were aged 16–29 years, and 309 were men (58%). A total of 276 participants (52%) identified as Aboriginal people, 137 (26%) as Torres Strait Islander people, and 117 (22%) as both Aboriginal and Torres Strait Islander people; 255 participants (48%) were from urban areas and 275 (52%) from regional and remote communities. The highest level of education ranged from university (225, 42%) to no education (18, 3%). A total of 384 participants (72%) rated their general health as good to excellent, 115 (22%) as average, and 31 (6%) as fair to poor (Box 1).
Knowledge regarding COVID‐19 vaccines, by sex and location
Of the 480 participants (91%) who responded to survey questions about knowledge of, attitudes to, and behaviours regarding COVID‐19 and influenza vaccines and for whom sex and location information was provided, 350 (73%) believed that COVID‐19 vaccines can slow the spread of COVID‐19; 343 (71%) believed that COVID‐19 vaccines are very or extremely trustworthy, and 350 (73%) that they are very or extremely effective. A total of 215 men (77%) and 135 women (67%) believed that COVID‐19 vaccines can slow the spread of the virus; 219 men (79%) and 124 women (61%) believed the vaccine to be very or extremely trustworthy, and 212 men (76%) and 138 women (68%) believed it to be very or extremely effective (Box 2).
Of the 228 urban respondents, 190 (83%) believed COVID‐19 vaccines can slow COVID‐19 transmission, as did 160 of the 252 regional and remote respondents (63%). A total of 191 urban respondents (84%) and 152 regional and remote respondents (60%) believed the vaccines to be very or extremely trustworthy; 181 urban respondents (79%) and 169 regional and remote respondents (67%) believed they were very or extremely effective. Overall, 399 of 478 respondents (83%) believed the COVID‐19 vaccine was very or extremely important for protecting their community during the pandemic (Box 2).
Attitudes to and behaviours regarding COVID‐19 and influenza vaccines, by sex and location
Of the 480 respondents, 334 (70%) said they normally receive the influenza vaccine each year, and 355 (74%) intended to receive it or had already received it. A total of 452 respondents (94%) had received a COVID‐19 vaccine, and 302 of 450 respondents (67%) had received it at an Indigenous health service. Further, 366 of 478 respondents (77%) said they intended to be fully vaccinated against COVID‐19, including 202 of 228 urban respondents (89%) and 164 of 250 regional and remote respondents (66%). A total of 336 respondents (70%) were prepared to receive a COVID‐19 vaccine booster dose each year (Box 3).
Associations between COVID‐19 vaccination outcomes and influenza
In the adjusted analysis, the prevalence of COVID‐19 vaccination was not significantly lower in regional and remote areas than in urban areas (adjusted PR, 0.96; 95% CI, 0.91–1.004). The prevalence of COVID‐19 vaccination were significantly lower in the oldest age group (60 years or older) than in the youngest age group (16–29 years; adjusted PR, 0.81; 95% CI, 0.66–0.99). The association between intention to receive the influenza vaccine and receiving the COVID‐19 vaccine was statistically significant (adjusted PR, 1.18; 95% CI, 1.09–1.27) (Box 4).
The prevalence of the intention to be fully vaccinated against COVID‐19 was lower among respondents from regional and remote areas than those in urban areas (adjusted PR, 0.82; 95% CI, 0.74–0.90). Respondents who identified as being of average health were less likely to be fully vaccinated than those who reported good to excellent health (adjusted PR, 0.85; 95% CI, 0.74–0.99). Intention to be fully vaccinated against COVID‐19 was more frequent among those who intended to receive the influenza vaccine (adjusted PR, 1.49; 95% CI, 1.26–1.76) (Box 4).
The prevalence of the intention to receive COVID‐19 vaccine booster doses each year, after adjusting for influenza vaccination status and other socio‐demographic factors, was lower among women than men (adjusted PR, 0.79; 95% CI, 0.71–0.89) and respondents living in regional or remote areas than among those in urban areas (adjusted PR, 0.86; 95% CI, 0.76–0.96). Respondents in older age groups reported the intention to receive booster doses more frequently than those aged 16–29 years, but the difference was statistically significant only for people aged 30–39 years (adjusted PR, 1.20; 95% CI, 1.07–1.36). Prevalence of the intention to receive COVID‐19 vaccine boosters was higher among those who intended to receive the influenza vaccine (adjusted PR, 1.66; 95% CI, 1.36–2.02) (Box 4).
Discussion
We found that Indigenous respondents to our survey had a high level of trust in COVID‐19 vaccines and were well informed about the effectiveness of vaccines for minimising COVID‐19 symptoms and slowing transmission. A key finding is that most respondents believed COVID‐19 vaccines can slow the spread of COVID‐19, congruent with the conclusions of a recently published qualitative study that found Indigenous people valued COVID‐19 vaccines as a means for protecting their communities.25 Survey respondents’ preference for using Indigenous health services for vaccination are also consistent with the findings of the earlier study, which concluded that vaccine uptake is ideally led by an Aboriginal health service or trusted local clinician.25 These consistencies reflect the important role of Indigenous health services in establishing awareness about COVID‐19 and building trust with clients using culturally responsive health information to protect their communities.9
The high level of trust and effectiveness attributed to vaccines by the survey respondents in this study reinforces the crucial role of ACCHOs in designing and delivering public health messages for Indigenous communities. Existing evidence suggests that although public health messages and campaigns exert small to moderate effects on knowledge, beliefs, attitudes, and behaviours, these effects translate into significant societal impacts when the accumulated effects of message repetition and wide reach are taken into consideration.26,27 Given that 29% of respondents did not have a high trust in COVID‐19 vaccines, embedding strategies that address historically rooted inequities will be pivotal in increasing trustworthiness during future vaccination programs. This may include development of partnerships, use of multilingual materials, co‐leadership with local community leaders, and employment of Aboriginal health workers.28,29,30,31
Despite the generally high level of knowledge about COVID‐19 vaccines we found, knowledge and attitudes varied by sex. For example, a smaller proportion of women than men believed that COVID‐19 vaccines can slow the spread of the virus, and women were less trusting of COVID‐19 vaccines and their efficacy. This finding is consistent with reports that women are significantly more likely than men to express hesitancy about COVID‐19 vaccination and, to a lesser extent, to refuse vaccination altogether.32 The difference may reflect perceptions that vaccines negatively affect fertility, pregnancy, and breastfeeding.33 Female respondents’ attitudes and beliefs regarding COVID‐19 possibly reflect a variety of factors not adequately considered by health messaging. They may also indicate that a larger proportion of women than men use social media for health‐related information, which would mean that women are more exposed to misinformation spread on online networks.34,35,36 The attitudinal difference between men and women was also evident with respect to their intentions to receive an annual booster dose (men, 77%; women, 61%).
Knowledge and attitudes about COVID‐19 vaccines also differed by location: 84% of urban respondents believed the vaccine to be very or extremely trustworthy, but only 60% of regional and remote respondents; and 79% of urban respondents believed vaccines were effective, compared with 67% of regional and remote respondents. This variation by location was consistent with the lower proportions of respondents in regional and remote locations who received influenza and COVID‐19 vaccines after accounting for age, education, general health, and absence of chronic health conditions. Our finding that willingness to be fully vaccinated with a COVID‐19 vaccine was less prevalent among regional and remote respondents than urban respondents is consistent with evidence from Bangladesh.37 This may reflect negative experiences during COVID‐19 vaccination programs, such as illness, miscarriage, or death, being more acutely experienced in smaller communities. Lower rates of COVID‐19 or knowledge of COVID‐19 in communities in rural locations may also result in people perceiving a lower need for vaccination.
Finally, we found that intentions to be fully vaccinated against COVID‐19 and receive booster doses was not more prevalent among respondents with university education than respondents with primary school education. Reports from Bangladesh and Saudi Arabia that trust and understanding of the efficacy of COVID‐19 vaccines was associated with socio‐economic factors, such as education and employment status37,38 suggest that public health campaigns need to be tailored to communities of different socio‐economic status.
Our study was based on a sizeable cross‐section of Indigenous people in Australia, including engagement with both men and women and people from diverse geographic locations. Further, the project was overseen by a diverse group of Indigenous experts who comprised the community governance committee, ensuring the accountability of the Indigenous research team during project design and implementation and provided opportunities for the research team to seek the expertise of community governance committee members.
Limitations
Study limitations included possible sample bias, as people with greater health literacy and understanding and access to reliable sources of information about COVID‐19 were more likely to participate. Education levels were higher than in other surveys of Indigenous people,39 which could indicate that our unweighted convenience sample was not representative of all Indigenous people. Very few participants resided in remote communities. In addition, differences in how respondents interpreted their geographic location at the time of the survey are possible. Moreover, an anonymous self‐selecting survey cannot produce a representative sample, and our findings may not be generalisable to all Indigenous people.
The research team developed and received ethics approval to offer a hard copy version of the survey and an offline digital version on secured iPads, but these formats would have required significant resources from partner services. At the time of the survey, Aboriginal Medical Services were already in the process of beginning COVID‐19 vaccination and protecting their communities from the pandemic; consequently, no services were prepared to administer the survey face‐to‐face. However, many services still shared the posters and QR codes for the online survey. Delivering the survey online enabled people to access the survey during COVID‐19 lockdowns, but was also a barrier for some community members, illustrated by the few responses from remote communities.
Conclusion
We found that Indigenous people have a high level of trust in COVID‐19 vaccines, which is essential for promoting vaccine acceptance and uptake. Their knowledge about the effectiveness of vaccines in reducing COVID‐19 symptoms and slowing virus spread could promote vaccination rates. The high vaccination rate indicates a positive attitude to vaccination and a commitment to preventive health measures. These findings could be attributed to the openness of Indigenous communities to reasonable and well timed public health messages, especially when led by Indigenous people and Indigenous organisations. However, public health messages must address the concerns of all community members, particularly women and those living in regional and remote communities. As ACCHOs are evidently trusted, they should be consistently engaged to deliver effective and timely services in future pandemics. As 23% of respondents were unsure whether they intended to become fully vaccinated against COVID‐19, hesitancy should be further investigated and be considered by tailored messaging.
Box 1 – Demographic characteristics of survey respondents, by sex
Characteristic |
Men |
Women |
Total | ||||||||||||
Respondents |
309 |
221 |
530 |
||||||||||||
Age (years), median (IQR) |
26 (23–34) |
30 (24–42) |
27 (23–38) |
||||||||||||
Age group (years) |
|||||||||||||||
16–29 |
198 (64%) |
107 (48%) |
305 (58%) |
||||||||||||
30–39 |
53 (17%) |
48 (22%) |
101 (19%) |
||||||||||||
40–49 |
33 (11%) |
30 (14%) |
63 (12%) |
||||||||||||
50–59 |
15 (5%) |
21 (10%) |
36 (7%) |
||||||||||||
60 or older |
10 (3%) |
15 (7%) |
25 (5%) |
||||||||||||
Indigenous status |
|||||||||||||||
Aboriginal |
158 (51%) |
118 (53%) |
276 (52%) |
||||||||||||
Torres Strait Islander |
79 (26%) |
58 (26%) |
137 (26%) |
||||||||||||
Aboriginal and Torres Strait Islander |
72 (23%) |
45 (20%) |
117 (22%) |
||||||||||||
Location |
|||||||||||||||
Major city |
161 (52%) |
94 (43%) |
255 (48%) |
||||||||||||
Country town |
100 (32%) |
71 (32%) |
171 (32%) |
||||||||||||
Regional area |
43 (14%) |
50 (23%) |
93 (18%) |
||||||||||||
Remote community |
5 (2%) |
6 (3%) |
11 (2%) |
||||||||||||
Highest level of education |
|||||||||||||||
None |
13 (4%) |
5 (2%) |
18 (3%) |
||||||||||||
Primary school |
36 (12%) |
24 (11%) |
60 (11%) |
||||||||||||
High school |
73 (24%) |
59 (27%) |
132 (25%) |
||||||||||||
Technical and further education |
51 (17%) |
44 (20%) |
95 (18%) |
||||||||||||
University |
136 (44%) |
89 (40%) |
225 (42%) |
||||||||||||
General health (self‐rated) |
|||||||||||||||
Good to excellent |
229 (74%) |
155 (70%) |
384 (72%) |
||||||||||||
Average |
57 (18%) |
58 (26%) |
115 (22%) |
||||||||||||
Fair to poor |
23 (7%) |
8 (4%) |
31 (6%) |
||||||||||||
Chronic health condition |
|||||||||||||||
Yes |
119 (39%) |
100 (45%) |
219 (41%) |
||||||||||||
No |
190 (61%) |
121 (55%) |
311 (59%) |
||||||||||||
IQR = interquartile range. |
Box 2 – Knowledge of COVID‐19 vaccines, by sex and location of respondents*
Sex |
Geographic location |
||||||||||||||
Survey item |
Men |
Women |
P † |
Urban |
Regional or remote |
P † |
Total | ||||||||
Do you think COVID‐19 vaccines can slow the spread of COVID‐19? |
278 |
202 |
0.005 |
228 |
252 |
< 0.001 |
480 |
||||||||
Yes |
215 (77%) |
135 (67%) |
190 (83%) |
160 (63%) |
350 (73%) |
||||||||||
Unsure |
59 (21%) |
55 (27%) |
34 (15%) |
80 (32%) |
114 (24%) |
||||||||||
No |
4 (1%) |
12 (6%) |
4 (2%) |
12 (5%) |
16 (3%) |
||||||||||
How trustworthy are COVID‐19 vaccines? |
278 |
202 |
< 0.001 |
228 |
252 |
< 0.001 |
|||||||||
Not/slightly trustworthy |
5 (2%) |
13 (6%) |
5 (2%) |
13 (5%) |
18 (4%) |
||||||||||
Moderately trustworthy |
54 (19%) |
65 (32%) |
32 (14%) |
87 (35%) |
119 (25%) |
||||||||||
Very/extremely trustworthy |
219 (79%) |
124 (61%) |
191 (84%) |
152 (60%) |
343 (71%) |
||||||||||
How effective are COVID‐19 vaccines? |
278 |
202 |
0.003 |
228 |
252 |
< 0.001 |
|||||||||
Not/slightly effective |
4 (1%) |
15 (7%) |
5 (2%) |
14 (6%) |
19 (4%) |
||||||||||
Moderately effective |
62 (22%) |
49 (24%) |
42 (18%) |
69 (27%) |
111 (23%) |
||||||||||
Very/extremely effective |
212 (76%) |
138 (68%) |
181 (79%) |
169 (67%) |
350 (73%) |
||||||||||
Do you think Aboriginal and Torres Strait Islander people should be a priority group for the COVID‐19 vaccine? |
278 |
202 |
0.17 |
228 |
252 |
< 0.001 |
|||||||||
Yes |
185 (67%) |
144 (71%) |
178 (78%) |
151 (60%) |
329 (69%) |
||||||||||
Unsure |
86 (31%) |
57 (28%) |
45 (20%) |
98 (39%) |
143 (30%) |
||||||||||
No |
7 (3%) |
1 (0%) |
5 (2%) |
3 (1%) |
8 (2%) |
||||||||||
Is there a COVID‐19 vaccine available to you now? |
278 |
202 |
0.63 |
228 |
252 |
0.09 |
|||||||||
Yes |
216 (78%) |
164 (81%) |
190 (83%) |
190 (75%) |
380 (79%) |
||||||||||
Unsure |
58 (21%) |
36 (18%) |
35 (15%) |
59 (23%) |
94 (20%) |
||||||||||
No |
4 (1%) |
2 (1%) |
3 (1%) |
3 (1%) |
6 (1%) |
||||||||||
Who do you think should get the COVID‐19 vaccine? |
309 |
221 |
255 |
275 |
530 |
||||||||||
Children |
34 (11%) |
22 (10%) |
0.70 |
25 (10%) |
31 (11%) |
0.58 |
56 (11%) |
||||||||
Teenagers |
51 (17%) |
32 (14%) |
0.53 |
38 (15%) |
45 (16%) |
0.64 |
83 (16%) |
||||||||
Adults |
54 (17%) |
60 (27%) |
0.008 |
42 (16%) |
72 (26%) |
0.007 |
114 (22%) |
||||||||
Elders |
25 (8%) |
24 (11%) |
0.28 |
21 (8%) |
28 (10%) |
0.44 |
49 (9%) |
||||||||
Everyone |
176 (57%) |
110 (50%) |
0.10 |
163 (64%) |
123 (45%) |
< 0.001 |
286 (54%) |
||||||||
Nobody |
1 (< 1%) |
3 (1%) |
0.18 |
0 |
4 (1%) |
0.05 |
4 (1%) |
||||||||
How important do you think the COVID vaccine is to protect your community? |
276 |
202 |
0.003 |
228 |
250 |
< 0.001 |
478 |
||||||||
Extremely important |
155 (56%) |
77 (38%) |
142 (62%) |
90 (36%) |
232 (49%) |
||||||||||
Very important |
81 (29%) |
86 (43%) |
61 (27%) |
106 (42%) |
167 (35%) |
||||||||||
Moderately important |
32 (12%) |
32 (16%) |
22 (10%) |
42 (17%) |
64 (13%) |
||||||||||
Slightly important |
7 (3%) |
5 (2%) |
3 (1%) |
9 (4%) |
12 (3%) |
||||||||||
Not important |
1 (< 1%) |
2 (1%) |
0 (0%) |
3 (1%) |
3 (1%) |
||||||||||
Should people who are vaccinated with the COVID‐19 vaccine be able to travel more freely than people who have not been vaccinated? |
276 |
202 |
0.22 |
228 |
250 |
0.003 |
|||||||||
Yes |
171 (62%) |
118 (58%) |
154 (68%) |
135 (54%) |
289 (60%) |
||||||||||
Unsure |
69 (25%) |
46 (23%) |
50 (22%) |
65 (26%) |
115 (24%) |
||||||||||
No |
36 (13%) |
38 (19%) |
24 (11%) |
50 (20%) |
74 (15%) |
||||||||||
COVID‐19 = coronavirus disease 2019. * Numbers of respondents are provided for each question. † χ2 tests by category, except “Who do you think should get the COVID‐19 vaccine?” (χ2 test by response). |
Box 3 – Attitudes to and behaviours regarding COVID‐19 and influenza vaccines, by sex and location*
Sex |
Geographic location |
||||||||||||||
Survey item |
Men |
Women |
P † |
Urban |
Regional or remote |
P † |
Total | ||||||||
Do you normally get the flu shot each year? |
278 |
202 |
0.006 |
228 |
252 |
0.05 |
480 |
||||||||
Yes |
192 (69%) |
142 (70%) |
163 (71%) |
171 (68%) |
334 (70%) |
||||||||||
Sometimes |
77 (28%) |
41 (20%) |
47 (21%) |
71 (28%) |
118 (25%) |
||||||||||
No |
9 (3%) |
19 (9%) |
18 (8%) |
10 (4%) |
28 (6%) |
||||||||||
Will you get the flu shot this year?‡ |
278 |
202 |
< 0.001 |
228 |
252 |
0.007 |
480 |
||||||||
Yes* |
205 (74%) |
150 (74%) |
179 (79%) |
176 (70%) |
355 (74%) |
||||||||||
Unsure |
69 (25%) |
35 (17%) |
36 (16%) |
68 (27%) |
104 (22%) |
||||||||||
No |
4 (1%) |
17 (8%) |
13 (6%) |
8 (3%) |
21 (4%) |
||||||||||
Have you received the COVID‐19 vaccine? |
278 |
202 |
0.63 |
228 |
252 |
0.014 |
480 |
||||||||
Yes |
263 (95%) |
189 (94%) |
221 (97%) |
231 (92%) |
452 (94%) |
||||||||||
No |
15 (5%) |
13 (6%) |
7 (3%) |
21 (8%) |
28 (6%) |
||||||||||
Which is your preferred COVID‐19 vaccine? |
278 |
202 |
0.008 |
228 |
252 |
0.10 |
480 |
||||||||
AstraZeneca |
100 (36%) |
62 (31%) |
76 (33%) |
86 (34%) |
162 (34%) |
||||||||||
Moderna |
117 (42%) |
70 (35%) |
80 (35%) |
107 (42%) |
187 (39%) |
||||||||||
Pfizer |
61 (22%) |
70 (35%) |
72 (32%) |
59 (23%) |
131 (27%) |
||||||||||
Where did you get your vaccine? |
261 |
189 |
0.38 |
221 |
229 |
0.014 |
450 |
||||||||
Indigenous health service |
182 (70%) |
120 (63%) |
161 (73%) |
141 (62%) |
302 (67%) |
||||||||||
Non‐Indigenous health service |
67 (26%) |
59 (31%) |
48 (22%) |
78 (34%) |
126 (28%) |
||||||||||
Other |
12 (5%) |
10 (5%) |
12 (5%) |
10 (4%) |
22 (5%) |
||||||||||
Do you intend to get fully vaccinated with the COVID‐19 vaccine? |
276 |
202 |
0.25 |
228 |
250 |
< 0.001 |
478 |
||||||||
Yes |
219 (79%) |
147 (73%) |
202 (89%) |
164 (66%) |
366 (77%) |
||||||||||
Unsure |
55 (20%) |
53 (26%) |
26 (11%) |
82 (33%) |
108 (23%) |
||||||||||
No |
2 (1%) |
2 (1%) |
0 |
4 (2%) |
4 (1%) |
||||||||||
Are you prepared to have a COVID‐19 vaccine booster each year? |
276 |
202 |
< 0.001 |
228 |
250 |
< 0.001 |
478 |
||||||||
Yes |
212 (77%) |
124 (61%) |
185 (81%) |
151 (60%) |
336 (70%) |
||||||||||
Unsure |
60 (22%) |
65 (32%) |
39 (17%) |
86 (34%) |
125 (26%) |
||||||||||
No |
4 (1%) |
13 (6%) |
4 (2%) |
13 (5%) |
17 (4%) |
||||||||||
COVID‐19 = coronavirus disease 2019. * Numbers of respondents are provided for each question. † χ2 tests by category. ‡ Respondents were asked to tick yes if they had already received the influenza vaccine. |
Box 4 – Relationships between COVID‐19 vaccination status, intention to be fully vaccinated againt COVID‐19, and intention to receive COVID‐19 booster vaccines with socio‐demographic factors and influenza vaccination status: multivariable robust Poisson regression analysis
COVID‐19 vaccination |
Intention to be fully vaccinated for COVID‐19 |
Intention to receive COVID‐19 booster vaccines | |||||||||||||
Characteristic |
Adjusted prevalence ratio (95% CI) |
Adjusted prevalence ratio (95% CI) |
Adjusted prevalence ratio (95% CI) | ||||||||||||
Respondents† |
452/480 (94%) |
366/478 (77%) |
336/478 (70%) |
||||||||||||
Sex |
|||||||||||||||
Men |
1 |
1 |
1 |
||||||||||||
Women |
0.99 (0.95–1.04) |
0.94 (0.85–1.03) |
0.79 (0.71–0.89) |
||||||||||||
Location |
|||||||||||||||
Urban |
1 |
1 |
1 |
||||||||||||
Regional or remote |
0.96 (0.91–1.004) |
0.82 (0.74–0.90) |
0.86 (0.76–0.96) |
||||||||||||
Age group (years) |
|||||||||||||||
16–29 |
1 |
1 |
1 |
||||||||||||
30–39 |
1.02 (0.98–1.07) |
1.08 (0.97–1.21) |
1.20 (1.07–1.36) |
||||||||||||
40–49 |
1.01 (0.95–1.08) |
0.93 (0.80–1.08) |
1.04 (0.88–1.22) |
||||||||||||
50–59 |
0.93 (0.83–1.04) |
1.05 (0.88–1.25) |
1.20 (0.99–1.46) |
||||||||||||
60 or older |
0.81 (0.66–0.99) |
1.12 (0.91–1.39) |
1.19 (0.89–1.59) |
||||||||||||
Educational qualification |
|||||||||||||||
None |
0.92 (0.77–1.11) |
0.71 (0.43–1.17) |
0.86 (0.51–1.45) |
||||||||||||
Primary school |
1 |
1 |
1 |
||||||||||||
High school |
1.02 (0.94–1.10) |
0.96 (0.76–1.20) |
1.04 (0.81–1.34) |
||||||||||||
Technical and further education |
1.06 (0.97–1.16) |
1.17 (0.93–1.45) |
1.24 (0.96–1.60) |
||||||||||||
University |
0.98 (0.91–1.07) |
1.19 (0.98–1.45) |
1.21 (0.96–1.53) |
||||||||||||
General health |
|||||||||||||||
Poor to fair |
0.94 (0.82–1.07) |
0.87 (0.69–1.10) |
0.86 (0.64–1.16) |
||||||||||||
Average |
1.03 (0.98–1.08) |
0.85 (0.74–0.99) |
0.94 (0.80–1.10) |
||||||||||||
Good to excellent |
1 |
1 |
1 |
||||||||||||
Chronic health condition |
|||||||||||||||
Yes |
1.02 (0.98–1.07) |
1.01 (0.91–1.13) |
0.96 (0.85–1.09) |
||||||||||||
No |
1 |
1 |
1 |
||||||||||||
Will you get the flu shot this year? |
|||||||||||||||
No or unsure |
1 |
1 |
1 |
||||||||||||
Yes |
1.18 (1.09–1.27) |
1.49 (1.26–1.76) |
1.66 (1.36–2.02) |
||||||||||||
COVID‐19 = coronavirus disease 2019. * Univariable robust Poisson regression analyses of the relationship between COVID‐19 vaccination outcomes and influenza vaccination status and socio‐demographic characteristics are reported in the Supporting Information, table 1. † Denominator: number of respondents to question; numerator: number who responded yes. Bold: statistically significant (confidence interval does not include 1). |
Received 16 January 2024, accepted 7 May 2024
- Shea Spierings1,2
- Victor M Oguoma1
- Anthony Shakeshaft1
- Jim Walker3
- Maree Toombs4
- James S Ward2
- 1 Poche Centre for Indigenous Health, University of Queensland, Brisbane, QLD
- 2 ARC Centre of Excellence for Indigenous Futures, the University of Queensland, Brisbane, QLD
- 3 The University of Queensland, Brisbane, QLD
- 4 The University of Sydney, Sydney, NSW
Data Sharing:
The data for this study will not be shared, as we do not have permission from the participants or ethics approval to do so.
We wish to acknowledge the support of the ACCHO sector during the COVID‐19 pandemic, and the significant contributions of the members of the Community Governance Committee who provided invaluable insight at all stages of the research project. Funding for this project was awarded in September 2020 to the value of $79 986 by the Australian Partnership for Preparedness Research on Infectious Disease Emergencies (APPRISE) under its First Nations‐led research on COVID‐19 scheme.
No relevant disclosures.
- 1. Australian Institute of Health and Welfare. The first year of COVID‐19 in Australia: direct and indirect health effects (cat. no. PHE 287). Canberra: AIHW, 2021. https://www.aihw.gov.au/getmedia/a69ee08a‐857f‐412b‐b617‐a29acb66a475/aihw‐phe‐287.pdf?v=20230605184353&inline=true (viewed June 2023).
- 2. Flint SM, Davis JS, Su JY, et al. Disproportionate impact of pandemic (H1N1) 2009 influenza on Indigenous people in the Top End of Australia's Northern Territory. Med J Aust 2010; 192: 617‐622. https://www.mja.com.au/journal/2010/192/10/disproportionate‐impact‐pandemic‐h1n1‐2009‐influenza‐indigenous‐people‐top‐end
- 3. Kelly H, Mercer G, Cheng A. Quantifying the risk of pandemic influenza in pregnancy and Indigenous people in Australia in 2009. Euro Surveill 2009; 14: 19441.
- 4. Rudge S, Massey PD. Responding to pandemic (H1N1) 2009 influenza in Aboriginal communities in NSW through collaboration between NSW Health and the Aboriginal community‐controlled health sector. N S W Public Health Bull 2010; 21: 26‐29.
- 5. Al‐Yaman F. The Australian Burden of Disease Study: impact and causes of illness and death in Aboriginal and Torres Strait Islander people, 2011. Public Health Res Pract 2017; 27: 2741732.
- 6. Crooks K, Casey D, Ward JS. First Nations people leading the way in COVID‐19 pandemic planning, response and management. Med J Aust 2020; 213: 151‐152. https://www.mja.com.au/journal/2020/213/4/first‐nations‐peoples‐leading‐way‐covid‐19‐pandemic‐planning‐response‐and
- 7. Moodie N, Ward J, Dudgeon P, et al. Roadmap to recovery: reporting on a research taskforce supporting Indigenous responses to COVID‐19 in Australia. Aust J Soc Issues 2021; 56: 4‐16.
- 8. Power T, Wilson D, Best O, et al. COVID‐19 and Indigenous peoples: an imperative for action. J Clin Nurs 2020; 29: 2737‐2741.
- 9. Eades S, Eades F, McCaullay D, et al. Australia's First Nations’ response to the COVID‐19 pandemic. Lancet 2020; 396: 237‐238.
- 10. Australian Department of Health. Australian health sector emergency response plan for novel coronavirus (COVID‐19). Canberra: Australian Government, 2020. https://www.health.gov.au/sites/default/files/documents/2020/02/australian‐health‐sector‐emergency‐response‐plan‐for‐novel‐coronavirus‐covid‐19_2.pdf (viewed June 2023).
- 11. Australian Government Department of Health and Aged Care. COVID‐19 vaccination – Geographic vaccination rates – SA4 – Indigenous population. Canberra: Australian Government, 2022. Archived: https://web.archive.org/web/20231207060650/https://www.health.gov.au/resources/publications/covid‐19‐vaccination‐geographic‐vaccination‐rates‐sa4‐indigenous‐population‐25‐january‐2023 (viewed June 2023).
- 12. Thurber KA, Barrett EM, Agostino J, et al. Risk of severe illness from COVID‐19 among Aboriginal and Torres Strait Islander adults: the construct of ‘vulnerable populations’ obscures the root causes of health inequities. Aust N Z J Public Health 2021; 45: 658‐663.
- 13. Clark TC, Best O, Bourque Bearskin ML, et al. COVID‐19 among Indigenous communities: case studies on Indigenous nursing responses in Australia, Canada, New Zealand, and the United States. Nursing Praxis in Aotearoa New Zealand 2021; 37: 71‐83.
- 14. Finlay S, Wenitong M. Aboriginal Community Controlled Health Organisations are taking a leading role in COVID‐19 health communication. Aust N Z J Public Health 2020; 44: 251‐252.
- 15. Cinelli M, Quattrociocchi W, Galeazzi A, et al. The COVID‐19 social media infodemic. Sci Rep 2020; 10: 16598.
- 16. Edwards B, Biddle N, Gray M, et al. COVID‐19 vaccine hesitancy and resistance: correlates in a nationally representative longitudinal survey of the Australian population. PLoS One 2021; 16: e0248892.
- 17. Fredericks B, Bradfield A, McAvoy S, et al. The burden of the beast: countering conspiracies and misinformation within Indigenous communities in Australia. M/C Journal 2022; https://doi.org/10.5204/mcj.2862
- 18. Bruce B, Fries JF. The health assessment questionnaire (HAQ). Clin Exp Rheumatol 2005; 23 (5 Suppl 39): S14‐S18.
- 19. Ware JE Jr, Sherbourne CD. The MOS 36‐item short‐form health survey (SF‐36). I. Conceptual framework and item selection. Med Care 1992; 30: 473‐483.
- 20. Australian Bureau of Statistics. Australia: Aboriginal and Torres Strait Islander population summary. 1 July 2022. https://www.abs.gov.au/articles/australia‐aboriginal‐and‐torres‐strait‐islander‐population‐summary (viewed Oct 2022).
- 21. Barros AJD, Hirakata VN. Alternatives for logistic regression in cross‐sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol 2003; 3: 21.
- 22. Chen W, Qian L, Shi J, et al. Comparing performance between log‐binomial and robust Poisson regression models for estimating risk ratios under model misspecification. BMC Med Res Methodol 2018; 18: 63.
- 23. Zou G. A modified Poisson regression approach to prospective studies with binary data. Am J Epidemiol 2004; 159: 702‐706.
- 24. Huang J, Chan SC, Ko S, et al. Factors associated with vaccination intention against the COVID‐19 pandemic: a global population‐based study. Vaccines 2022; 10: 1539.
- 25. Graham S, Blaxland M, Bolt R, et al. Aboriginal peoples’ perspectives about COVID‐19 vaccines and motivations to seek vaccination: a qualitative study. BMJ Glob Health 2022; 7: e008815.
- 26. Nan X, Iles IA, Yang B, et al. Public health messaging during the COVID‐19 pandemic and beyond: lessons from communication science. Health Commun 2022; 37: 1‐19.
- 27. Wakefield MA, Loken B, Hornik RC. Use of mass media campaigns to change health behaviour. Lancet 2010; 376: 1261‐1271.
- 28. Desborough J, Wright M, Parkinson A, et al. What strategies have been effective in optimising COVID‐19 vaccine uptake in Australia and internationally? Aust J Gen Pract 2022; 51: 725‐730.
- 29. Eggleton K, Bui N, Goodyear‐Smith F. Disruption to the doctor–patient relationship in primary care: a qualitative study. BJGP Open 2022; 6: BJGPO.2022.0039.
- 30. Naren T, Burzacott J, West C, et al. Role of Aboriginal health practitioners in administering and increasing COVID‐19 vaccination rates in a Victorian Aboriginal community controlled health organisation. Rural Remote Health 2021; 21: 7043.
- 31. Scott T, Gutschow B, Ragavan MI, et al. A community partnered approach to promoting COVID‐19 vaccine equity. Health Promot Pract 2021; 22: 758‐760.
- 32. Tsui N, Edwards SA, Simms AJ, et al. COVID‐19 vaccination intention and vaccine hesitancy among citizens of the Métis Nation of Ontario. Can J Public Health 2024; 115: 209‐219.
- 33. Sutton D, D'Alton M, Zhang Y, et al. COVID‐19 vaccine acceptance among pregnant, breastfeeding, and nonpregnant reproductive‐aged women. Am J Obstet Gynecol MFM 2021; 3: 100403.
- 34. Alvarez‐Galvez J, Salinas‐Perez JA, Montagni I, et al. The persistence of digital divides in the use of health information: a comparative study in 28 European countries. Int J Public Health 2020; 65: 325‐333.
- 35. Johnson NF, Velásquez N, Restrepo NJ, et al. The online competition between pro‐ and anti‐vaccination views. Nature 2020; 582: 230‐233.
- 36. Wilson SL, Wiysonge C. Social media and vaccine hesitancy. BMJ Glob Health 2020; 5: e004206.
- 37. Mahmud S, Mohsin M, Khan IA, et al. Knowledge, beliefs, attitudes and perceived risk about COVID‐19 vaccine and determinants of COVID‐19 vaccine acceptance in Bangladesh. PLoS One 2021; 16: e0257096.
- 38. Al‐Mohaithef M, Padhi BK. Determinants of COVID‐19 vaccine acceptance in Saudi Arabia: a web‐based national survey. J Multidiscip Healthc 2020; 13: 1657‐1663.
- 39. Australian Bureau of Statistics. Education statistics for Aboriginal and Torres Strait Islander Peoples, 2021. 11 July 2024. https://www.abs.gov.au/statistics/people/aboriginal‐and‐torres‐strait‐islander‐peoples/education‐statistics‐aboriginal‐and‐torres‐strait‐islander‐peoples/2021 (viewed Nov 2024).
Abstract
Objectives: To assess Aboriginal and Torres Strait Islander people's knowledge about coronavirus disease 2019 (COVID‐19) vaccines, and their attitudes to and behaviours regarding COVID‐19 and influenza vaccinations.
Study design: Web‐based survey.
Setting: Australia (excluding the Northern Territory), 1 October 2021 to 31 May 2022.
Participants: Convenience sample of Aboriginal and Torres Strait Islander people aged 16 years or older living in Australia.
Main outcome measures: Proportions of respondents who reported knowledge about COVID‐19 vaccines, and attitudes to and behaviours regarding COVID‐19 and influenza vaccinations.
Results: A total of 530 people provided valid survey responses; their median age was 27 years (interquartile range, 23–38 years), 255 (48%) were from urban areas, and 309 (58%) were men. Of the 480 participants (91%) who provided complete survey questions (including sex and location information), larger proportion of men than women believed COVID‐19 vaccines were very or extremely trustworthy (219, 79%v 124, 61%) and very or extremely effective (212, 76% v 138, 68%). The prevalence of COVID‐19 vaccination was lower among respondents aged 60 years or older than among those aged 16–29 years (adjusted prevalence ration [PR], 0.81; 95% confidence interval [CI], 0.66–0.99). After adjusting for socio‐demographic factors, the association between intention to receive the influenza vaccine and receiving the COVID‐19 vaccine was statistically significant (adjusted PR, 1.18; 95% CI, 1.09–1.27).
Conclusion: The high levels of trust in COVID‐19 vaccines and their effectiveness indicate that Aboriginal and Torres Strait Islander people are confident about their safety and efficacy and understand the importance of vaccination. The findings also highlight a positive attitude to vaccination and a commitment to preventive health measures among Aboriginal and Torres Strait Islander people.