| Literature DB >> 35655217 |
Jenny Iversen1, Handan Wand2, Robert Kemp3, Jude Bevan4, Myf Briggs5, Kate Patten6, Sue Heard2, Lisa Maher2.
Abstract
BACKGROUND: People who inject drugs (PWID) may be at elevated risk of adverse outcomes from SARS-CoV-2 infection; however, data on COVID-19 vaccine uptake among PWID are scarce. This study aimed to determine COVID-19 vaccine uptake among PWID, identify factors associated with sub-optimal uptake, and compare uptake to the general population.Entities:
Keywords: COVID-19; Immunisation; People who inject drugs; SARS-CoV-2; Vaccine
Mesh:
Substances:
Year: 2022 PMID: 35655217 PMCID: PMC9162792 DOI: 10.1186/s12954-022-00643-3
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Number of COVID-19 vaccine doses received among ANSPS respondents in 2021
| Characteristics | Total sample ( | No doses ( | One dose ( | Two doses ( |
|---|---|---|---|---|
| Gender | ||||
| Male | 726 (62) | 352 (48) | 147 (20) | 227 (31) |
| Female | 422 (36) | 236 (56) | 70 (17) | 116 (27) |
| Sexual orientation | ||||
| Heterosexual | 946 (81) | 485 (51) | 181 (19) | 280 (30) |
| Bisexual | 127 (11) | 71 (56) | 21 (17) | 35 (28) |
| Gay/lesbian | 56 (5) | 20 (36) | 8 (14) | 28 (50) |
| Age | ||||
| < 40 years | 393 (34) | 243 (62) | 58 (15) | 92 (23) |
| 40–49 years | 429 (37) | 229 (53) | 86 (20) | 114 (27) |
| 50+ year | 344 (30) | 126 (37) | 75 (22) | 143 (42) |
| Aboriginal and Torres Strait Islander | ||||
| No | 870 (75) | 447 (51) | 161 (19) | 262 (30) |
| Yes | 296 (25) | 151 (51) | 58 (20) | 87 (29) |
| Parents language at home | ||||
| Not English | 40 (3) | 20 (50) | 8 (20) | 12 (30) |
| English | 1118 (96) | 574 (51) | 209 (19) | 335 (30) |
| Frequency of injection | ||||
| Less than daily | 487 (42) | 236 (48) | 105 (22) | 146 (30) |
| Daily | 517 (44) | 282 (55) | 87 (17) | 148 (29) |
| No injection last month | 147 (13) | 68 (46) | 25 (17) | 54 (37) |
| Drug last injected | ||||
| Other drugs | 111 (10) | 69 (62) | 17 (15) | 25 (23) |
| Methamphetamine | 599 (51) | 323 (54) | 109 (18) | 167 (28) |
| Heroin/other opioids | 452 (39) | 202 (44) | 93 (21) | 157 (35) |
| Current OAT | ||||
| No | 862 (74) | 479 (56) | 153 (18) | 230 (27) |
| Yes | 304 (26) | 119 (39) | 66 (22) | 119 (39) |
| Imprisonment | ||||
| No | 1013 (87) | 516 (51) | 189 (19) | 308 (30) |
| Yes | 120 (10) | 60 (50) | 25 (21) | 35 (29) |
| SARS-CoV-2 diagnostic test | ||||
| No | 747 (64) | 457 (61) | 122 (16) | 168 (22) |
| Yes | 419 (36) | 141 (34) | 97 (23) | 181 (43) |
| HIV status | ||||
| Negative | 1112 (95) | 577 (52) | 209 (19) | 326 (29) |
| Positive | 19 (2) | 3 (16) | 4 (21) | 12 (63) |
| Hepatitis C antibody status | ||||
| Negative | 738 (63) | 371 (50) | 132 (18) | 235 (32) |
| Positive | 393 (34) | 207 (53) | 81 (21) | 105 (27) |
| Duration of eligibility | ||||
| ≤ 4.0 months | 604 (52) | 403 (66) | 106 (18) | 95 (16) |
| > 4.0 months | 562 (48) | 195 (35) | 113 (20) | 254 (45) |
COVID-19 vaccine uptake (%) among ANSPS respondents and among the eligible general population in Australia on the date the 2021 ANSPS commenced, by state and territory
| State/territory | ANSPS commencement date | ANSPS respondents | Eligible general population# | ||||
|---|---|---|---|---|---|---|---|
| Median days eligible (IQR) | Per cent 1st dose % (95% CI) | Per cent 2nd dose % (95% CI) | Per cent 1st dose | Per cent 2nd dose | |||
| Queensland | 13 Sept 2021 | 331 | 97 (14–133) | 30 (25, 35) | 14 (11, 18) | 57 | 39 |
| Northern Territory | 11 Oct 2021 | 36 | 133 (133–161) | 64 (46, 79) | 50 (33, 67) | 69 | 57 |
| Tasmania | 76 | 133 (88–161) | 58 (46, 69) | 38 (27, 50) | 81 | 65 | |
| Western Australia | 389 | 123 (123–123) | 43 (38, 48) | 23 (19, 27) | 71 | 53 | |
| South Australia | 1 Nov 2021 | 170 | 146 (146–182) | 52 (44, 59) | 28 (21, 34) | 82 | 67 |
| Australian Capital Territory | 7 Dec 2021 | 91 | 187 (126–218) | 87 (78, 93) | 76 (66, 84) | > 95 | > 95% |
| New South Wales | 35 | 204 (204–218) | 100 (–, –) | 77 (60, 90) | 95 | 93 | |
| Victoria | 13 Dec 2021 | 38 | 199 (199–224) | 82 (66, 92) | 58 (41, 74) | 94 | 92 |
#COVID-19 vaccination rollout updates provided by the Australian Government Department of Health
Factors associated with COVID-19 vaccine uptake among ANSPS respondents in 2021
| Characteristics | Univariable analysis | Multivariable analysis | ||
|---|---|---|---|---|
| Unadjusted odds ratio (95% CI) | Adjusted§ odds ratio (95% CI) | |||
| Gender | ||||
| Male | 1 | |||
| Female | 0.75 (0.59, 0.95) | 0.017 | ||
| Sexual orientation | ||||
| Heterosexual | 1 | 1 | ||
| Bisexual | 0.82 (0.57, 1.120) | 0.310 | 0.88 (0.58, 1.34) | 0.543 |
| Gay/lesbian | 1.19 (0.77, 1.84) | 0.421 | 1.16 (0.72, 1.87) | 0.532 |
| Age | ||||
| < 40 years | 1 | 1 | ||
| 40–49 years | 1.41 (1.07, 1.87) | 0.014 | 1.18 (0.87, 1.61) | 0.295 |
| 50+ year | 2.80 (2.07, 3.78) | < 0.001 | 1.12 (0.75, 1.67) | 0.592 |
| Aboriginal and Torres Strait Islander | ||||
| No | 1 | 1 | ||
| Yes | 1.01 (0.78, 1.32) | 0.913 | 1.10 (0.81, 1.46) | 0.586 |
| Parents language at home | ||||
| Not English | 1 | 1 | ||
| English | 0.95 (0.53, 1.69) | 0.856 | 0.87 (0.46. 1.64) | 0.670 |
| Frequency of injection | ||||
| Less than daily | 1 | 1 | ||
| Daily | 0.78 (0.61, 1.00) | 0.054 | ||
| No injection last month | 0.96 (0.68, 1.38) | 0.839 | ||
| Drug last injected | ||||
| Other drugs (ref) | 1 | |||
| Methamphetamine | 1.49 (0.98, 2.24) | 0.060 | ||
| Heroin/other opioids | 2.15 (1.41, 3.28) | < 0.001 | ||
| Current OAT | ||||
| No | 1 | |||
| Yes | 1.94 (1.49, 2.54) | < 0.001 | ||
| Imprisonment | ||||
| No | 1 | 1 | ||
| Yes | 1.06 (0.73, 1.55) | 0.766 | 1.34 (0.88, 2.05) | 0.172 |
| SARS-CoV-2 diagnostic test | ||||
| No | 1 | |||
| Yes | 3.11 (2.42, 4.00) | < 0.001 | ||
| HIV status | ||||
| Negative | 1 | 1 | ||
| Positive | 5.75 (1.67, 19.85) | 0.006 | 2.96 (0.83, 10.52) | 0.100 |
| Hepatitis C antibody status | ||||
| Negative | 1 | 1 | ||
| Positive | 0.91 (0.71, 1.16) | 0.442 | 1.01 (0.76, 1.33) | 0.967 |
| Duration of eligibility | ||||
| ≤ 4.0 months | 1 | |||
| > 4.0 months | 3.77 (2.96, 4.81) | < 0.001 | ||
§Bolded odds ratios are from multivariable model which included six variables: gender, frequency of injection, drug last injected, current OAT, SARS-CoV-2 test, and duration of vaccine eligibility; all other odds ratios were adjusted for these six variables