| Literature DB >> 26268817 |
Allison Carter1,2, Nathan Lachowsky2,3, Ashleigh Rich2, Jamie I Forrest2, Paul Sereda2, Zishan Cui2, Eric Roth4, Angela Kaida1, David Moore2,3, Julio Sg Montaner2,3, Robert S Hogg1,5.
Abstract
INTRODUCTION: Awareness and knowledge of treatment as prevention (TasP) was assessed among HIV-positive and HIV-negative gay, bisexual and other men who have sex with men (GBMSM) in Vancouver, Canada.Entities:
Keywords: HIV; TasP awareness; TasP knowledge; health literacy; men who have sex with men; treatment as prevention
Mesh:
Year: 2015 PMID: 26268817 PMCID: PMC4534712 DOI: 10.7448/IAS.18.1.20039
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Figure 1Classification of participants’ self-reported definitions of TasP.
Sample demographics
|
| RDS % | RDS (95% CI) | |
|---|---|---|---|
| HIV positive | |||
| No | 520 | 76.6 | (68.7, 83.9) |
| Yes | 199 | 23.4 | (16.1, 31.3) |
| Age | |||
| 16–24 | 139 | 21.4 | (15.0, 28.7) |
| 25–39 | 305 | 41.9 | (34.7, 48.7) |
| 40+ | 275 | 36.7 | (28.2, 45.4) |
| Ethnicity | |||
| Caucasian | 539 | 68.0 | (61.0, 74.2) |
| Asian | 72 | 9.8 | (6.3, 14.7) |
| Aboriginal ancestry | 50 | 10.3 | (5.5, 15.9) |
| Other | 58 | 11.9 | (7.3, 17.0) |
| Sexual orientation | |||
| Gay | 612 | 80.7 | (76.2, 85.3) |
| Bisexual | 66 | 15.3 | (10.6, 19.5) |
| Other | 41 | 4.0 | (2.4, 6.2) |
| Education | |||
| Some high school or less | 61 | 14.5 | (10.1, 20.8) |
| Completed high school (only) | 107 | 20.2 | (14.5, 25.0) |
| Any post-secondary education | 537 | 65.3 | (58.0, 72.3) |
| Current student | |||
| No | 568 | 81.0 | (75.9, 86.0) |
| Yes | 150 | 19.0 | (14.0, 24.1) |
| Born in Canada | |||
| No | 162 | 25.3 | (19.5, 32.1) |
| Yes | 557 | 74.7 | (67.9, 80.5) |
| First language | |||
| English | 597 | 79.1 | (72.9, 84.7) |
| Other | 122 | 20.9 | (15.3, 27.1) |
| Neighbourhood | |||
| Downtown/West End | 356 | 51.9 | (44.1, 59.2) |
| Elsewhere in Vancouver | 223 | 30.4 | (24.1, 36.3) |
| Outside Vancouver | 140 | 17.7 | (13.1, 23.7) |
| Currently employed | |||
| No | 264 | 48.0 | (41.3, 55.2) |
| Yes | 455 | 52.0 | (44.8, 58.7) |
| Income | |||
| <$18,500 | 328 | 52.5 | (46.2, 59.2) |
| $18,500–44,999 | 247 | 32.8 | (26.9, 38.3) |
| $50,000–74,999 | 101 | 9.4 | (6.2, 12.8) |
| $75,000+ | 43 | 5.3 | (2.8, 8.1) |
| Relationship with regular partner | |||
| No | 446 | 65.6 | (58.4, 71.5) |
| Yes | 232 | 34.4 | (28.5, 41.6) |
| Any reported drug use in the past 6 months | |||
| No | 258 | 34.7 | (28.9, 41.2) |
| Yes | 461 | 65.3 | (58.8, 71.1) |
| Any reported party drug use in the past 6 months | |||
| No | 288 | 40.7 | (34.6, 46.7) |
| Yes | 431 | 59.3 | (53.3, 65.4) |
| Any reported injection drug use in the past 6 months | |||
| No | 662 | 90.5 | (86.3, 94.5) |
| Yes | 57 | 9.5 | (5.5, 13.7) |
| Number of male anal sex partners in the past 6 months | |||
| 0–1 | 229 | 35.0 | (29.1, 41.6) |
| 2–5 | 208 | 25.7 | (21.2, 31.3) |
| 6+ | 195 | 25.6 | (19.0, 30.7) |
| No anal sex in the past 6 months | 87 | 13.8 | (9.9, 18.4) |
| Unprotected anal sex with opposite or unknown status partner | |||
| No | 441 | 64.1 | (58.0, 70.7) |
| Yes | 262 | 35.9 | (29.3, 42.0) |
| Worked as an escort or in the sex industry | |||
| No | 588 | 79.4 | (73.6, 84.6) |
| Yes, in the past 6 months | 43 | 8.5 | (4.5, 13.3) |
| Yes, but not in the past 6 months | 88 | 12.1 | (8.3, 16.3) |
| Current CD4 cell count | |||
| <200 | 13 | 6.6 | (2.3, 11.8) |
| 200–349 | 23 | 11.6 | (4.5, 23.0) |
| 350+ | 159 | 81.7 | (69.2, 90.8) |
| Current viral load <50 | |||
| No | 60 | 28.1 | (19.6, 45.2) |
| Yes | 139 | 71.9 | (54.8, 80.4) |
| Currently has a family doctor | |||
| No | 232 | 34.2 | (27.4, 41.3) |
| Yes | 486 | 65.8 | (58.7, 72.6) |
| Out to family doctor | |||
| No | 80 | 18.8 | (12.5, 27.9) |
| Yes | 400 | 81.2 | (72.1, 87.5) |
| Told family doctor about male partners | |||
| No family doctor | 232 | 34.9 | (28.5, 42.3) |
| Did not tell | 80 | 14.6 | (10.5, 19.5) |
| Told doctor | 400 | 50.5 | (43.1, 57.5) |
RDS=respondent-driven sampling; 95% CI=95% confidence interval.
Demographic and risk factors, prevalence of TasP awareness and univariate associations for HIV-positive GBMSM (n=199)
| Total (HIV positive) | Aware of TasP | Univariate associations | ||||||
|---|---|---|---|---|---|---|---|---|
|
|
|
| ||||||
|
| RDS % | RDS (95% CI) |
| RDS % | RDS (95% CI) |
| OR (95% CI) | |
| Age | ||||||||
| 16–24 | 0 | 0 | ||||||
| 25–39 | 48 | 24.4 | (15.9, 32.9) | 34 | 77.4 | (62.9, 92.0) | 0.1379 | Reference |
| 40+ | 151 | 75.6 | (67.1, 84.1) | 110 | 64.8 | (52.1, 77.5) | 0.54 (0.24–1.22) | |
| Ethnicity | ||||||||
| Caucasian | 150 | 67.5 | (56.9, 78.1) | 115 | 71.5 | (59.8, 83.3) | 0.5860 | Reference |
| Asian | 13 | 6.7 | (2.5, 10.9) | 8 | 62.3 | (27.4, 97.1) | 0.66 (0.18–2.34) | |
| Aboriginal ancestry | 23 | 17.1 | (8.0, 26.2) | 12 | 61.0 | (30.2, 91.8) | 0.62 (0.27–1.46) | |
| Other | 13 | 8.7 | (1.5, 16.0) | 9 | 59.5 | (7.8, 100.0) | 0.58 (0.19–1.78) | |
| Sexual orientation | ||||||||
| Gay | 171 | 83.0 | (74.6, 91.4) | 128 | 72.1 | (61.1, 83.1) | 0.0139 | Reference |
| Bisexual | 21 | 12.5 | (4.8, 20.2) | 11 | 39.1 | (3.5, 74.7) | 0.25 (0.10–0.64) | |
| Other | 7 | 4.5 | (0.5, 8.6) | 5 | 76.0 | (32.7, 100.0) | 1.23 (0.22–6.76) | |
| Education | ||||||||
| Some high school or less | 24 | 13.4 | (6.5, 20.4) | 14 | 54.9 | (29.0, 80.7) | 0.4093 | Reference |
| Completed high school (only) | 39 | 20.8 | (11.5, 30.0) | 27 | 64.6 | (39.2, 90.0) | 1.50 (0.47–4.80) | |
| Any post-secondary education | 132 | 65.8 | (55.5, 76.1) | 99 | 70.3 | (57.3, 83.3) | 1.95 (0.71–5.37) | |
| Current student | ||||||||
| No | 180 | 90.5 | (85.4, 95.6) | 129 | 67.6 | (56.4, 78.7) | 0.7547 | Reference |
| Yes | 19 | 9.5 | (4.4, 14.6) | 15 | 71.4 | (44.5, 98.3) | 1.20 (0.38–3.75) | |
| Born in Canada | ||||||||
| No | 35 | 17.3 | (9.2, 25.4) | 22 | 41.8 | (17.0, 66.6) | 0.0012 | Reference |
| Yes | 164 | 82.7 | (74.6, 90.8) | 122 | 73.7 | (63.4, 84.0) | 3.91 (1.71–8.90) | |
| First language | ||||||||
| English | 165 | 83.0 | (74.9, 91.1) | 121 | 72.5 | (62.2, 82.8) | 0.0087 | Reference |
| Other | 34 | 17.0 | (8.9, 25.1) | 23 | 46.8 | (19.9, 73.6) | 0.33 (0.15–0.76) | |
| Neighbourhood | ||||||||
| Downtown/West End | 136 | 68.5 | (59.0, 78.0) | 95 | 65.7 | (52.7, 78.7) | 0.4996 | Reference |
| Elsewhere in Vancouver | 37 | 18.8 | (10.5, 27.2) | 29 | 68.5 | (42.6, 94.4) | 1.14 (0.49–2.64) | |
| Outside Vancouver | 26 | 12.7 | (6.8, 18.6) | 20 | 78.9 | (60.4, 97.3) | 1.95 (0.64–5.92) | |
| Currently employed | ||||||||
| No | 116 | 60.9 | (50.6, 71.2) | 86 | 79.1 | (69.9, 88.2) | 0.0003 | Reference |
| Yes | 83 | 39.1 | (28.8, 49.4) | 58 | 51.5 | (34.1, 69.0) | 0.28 (0.14–0.56) | |
| Income | ||||||||
| <$18,500 | 114 | 61.1 | (50.7, 71.4) | 78 | 67.5 | (55.3, 79.7) | 0.9353 | Reference |
| $18,500–44,999 | 55 | 25.5 | (16.0, 34.9) | 42 | 66.6 | (42.9, 90.2) | 0.96 (0.45–2.05) | |
| $50,000–74,999 | 25 | 12.7 | (6.1, 19.4) | 20 | 71.3 | (36.1, 100.0) | 1.20 (0.43–3.36) | |
| $75,000+ | 5 | 0.7 | (0.0, 1.6) | 4 | 92.7 | (68.2, 100.0) | n/a | |
| Relationship with regular partner | ||||||||
| No | 125 | 71.2 | (61.4, 81.1) | 86 | 66.8 | (53.6, 80.0) | 0.7135 | Reference |
| Yes | 55 | 28.8 | (18.9, 38.6) | 42 | 70.0 | (49.4, 90.5) | 1.16 (0.53–2.53) | |
| Any reported drug use in the past 6 months | ||||||||
| No | 44 | 16.5 | (10.2, 22.7) | 36 | 82.6 | (69.4, 95.8) | 0.0786 | Reference |
| Yes | 155 | 83.5 | (77.3, 89.8) | 108 | 65.0 | (53.0, 77.0) | 0.39 (0.14–1.11) | |
| Any reported party drug use in the past 6 months | ||||||||
| No | 56 | 24.8 | (16.4, 33.1) | 44 | 82.1 | (70.2, 94.0) | 0.0280 | Reference |
| Yes | 143 | 75.2 | (66.9, 83.6) | 100 | 63.2 | (50.4, 76.0) | 0.37 (0.16–0.90) | |
| Any reported injection drug use in the past 6 months | ||||||||
| No | 168 | 87.8 | (81.4, 94.1) | 128 | 68.5 | (57.0, 80.0) | 0.6849 | Reference |
| Yes | 31 | 12.2 | (5.9, 18.6) | 16 | 64.1 | (40.2, 87.9) | 0.82 (0.31–2.15) | |
| Number of male anal sex partners in the past 6 months | ||||||||
| 0–1 | 55 | 30.6 | (20.9, 40.3) | 41 | 72.7 | (54.9, 90.5) | 0.5790 | Reference |
| 2–5 | 52 | 22.3 | (14.5, 30.1) | 40 | 71.9 | (55.7, 88.0) | 0.96 (0.36–2.45) | |
| 6+ | 69 | 32.4 | (22.0, 42.8) | 49 | 64.6 | (43.6, 85.7) | 0.69 (0.30–1.59) | |
| No anal sex in the past 6 months | 23 | 14.7 | (6.7, 22.7) | 14 | 58.9 | (26.3, 91.5) | 0.54 (0.20–1.47) | |
| Unprotected anal sex with opposite or unknown status partner | ||||||||
| No | 107 | 54.9 | (44.2, 65.6) | 77 | 70.4 | (57.9, 83.0) | 0.8183 | Reference |
| Yes | 88 | 45.1 | (34.4, 55.8) | 66 | 68.7 | (52.2, 85.3) | 0.92 (0.47–1.83) | |
| Worked as an escort or in the sex industry | ||||||||
| No | 136 | 67.0 | (56.7, 77.3) | 101 | 67.8 | (55.1, 80.5) | 0.4891 | Reference |
| Yes, in the past 6 months | 15 | 6.4 | (0.8, 12.0) | 12 | 83.8 | (58.5, 100.0) | 2.45 (0.46–12.99) | |
| Yes, but not in the past 6 months | 48 | 26.6 | (16.8, 36.3) | 31 | 64.1 | (42.4, 85.9) | 0.85 (0.40–1.80) | |
| Current CD4 cell count | ||||||||
| <200 | 13 | 5.4 | (1.5, 9.3) | 5 | 31.9 | (0.0, 74.3) | 0.0729 | Reference |
| 200–349 | 23 | 12.5 | (4.7, 20.2) | 17 | 66.0 | (29.2, 100.0) | 4.16 (0.80–21.66) | |
| 350+ | 159 | 82.1 | (73.7, 90.5) | 119 | 71.1 | (59.8, 82.4) | 5.27 (1.26–22.06) | |
| Current viral load <50 | ||||||||
| No | 60 | 29.0 | (19.0, 39.0) | 37 | 65.6 | (46.2, 85.0) | 0.6724 | Reference |
| Yes | 139 | 71.0 | (61.0, 81.0) | 107 | 69.0 | (56.5, 81.4) | 1.17 (0.58–2.37) | |
| Currently has a family doctor | ||||||||
| No | 6 | 4.7 | (0.0, 10.0) | 2 | 65.5 | (0.7, 100.0) | 0.8802 | Reference |
| Yes | 193 | 95.3 | (90.0, 100.0) | 142 | 68.1 | (57.4, 78.7) | 1.12 (0.25–5.08) | |
| Out to family doctor | ||||||||
| No | 9 | 5.2 | (1.3, 9.2) | 4 | 46.7 | (0.0, 94.6) | 0.1903 | Reference |
| Yes | 182 | 94.8 | (90.8, 98.7) | 136 | 69.1 | (57.9, 80.2) | 2.54 (0.63–10.29) | |
| Told family doctor about male partners | ||||||||
| No family doctor | 6 | 4.7 | (0.0, 10.1) | 2 | 65.5 | (0.7, 100.0) | 0.4203 | Reference |
| Did not tell | 9 | 5 | (1.2, 8.8) | 4 | 46.7 | (0.0, 94.6) | 0.46 (0.06–3.41) | |
| Told doctor | 182 | 90.3 | (83.9, 96.7) | 136 | 69.1 | (57.9, 80.2) | 1.18 (0.26–5.34) | |
GBMSM=gay, bisexual, and other men who have sex with men; RDS= respondent-driven sampling; 95% CI=95% confidence interval.
Demographic and risk factors, prevalence of TasP awareness and univariate associations for HIV-negative GBMSM (n=520)
| Total (HIV positive) | Aware of TasP | Univariate associations | ||||||
|---|---|---|---|---|---|---|---|---|
|
|
|
| ||||||
|
| RDS % | RDS (95% CI) |
| RDS % | RDS (95% CI) |
| OR (95% CI) | |
| Age | ||||||||
| 16–24 | 139 | 27.5 | (22.1, 32.9) | 52 | 31.6 | (21.1, 42.2) | 0.1905 | Reference |
| 25–39 | 257 | 48.5 | (42.4, 54.6) | 113 | 39.9 | (31.3, 48.5) | 1.44 (0.95–2.18) | |
| 40+ | 124 | 24.0 | (18.8, 29.2) | 57 | 40.2 | (28.3, 52.1) | 1.45 (0.89–2.37) | |
| Ethnicity | ||||||||
| Caucasian | 389 | 70.1 | (64.1, 76.0) | 173 | 37.9 | (31.3, 44.4) | 0.0343 | Reference |
| Asian | 59 | 11.0 | (7.5, 14.4) | 19 | 41.3 | (24.1, 58.6) | 1.16 (0.67–2.00) | |
| Aboriginal ancestry | 27 | 6.8 | (3.1, 10.4) | 8 | 16.4 | (2.0, 30.9) | 0.32 (0.13–0.77) | |
| Other | 45 | 12.2 | (7.5, 16.9) | 22 | 45.3 | (23.5, 67.1) | 1.36 (0.81–2.29) | |
| Sexual orientation | ||||||||
| Gay | 441 | 82.0 | (77.1, 86.9) | 186 | 39.4 | (33.0, 45.9) | 0.0042 | Reference |
| Bisexual | 45 | 13.3 | (8.6, 18.0) | 16 | 21.2 | (8.1, 34.3) | 0.41 (0.23–0.75) | |
| Other | 34 | 4.7 | (2.9, 6.5) | 20 | 52.8 | (32.3, 73.3) | 1.72 (0.77–3.83) | |
| Education | ||||||||
| Some high school or less | 37 | 11.7 | (7.0, 16.4) | 12 | 14.2 | (3.1, 25.3) | 0.0004 | Reference |
| Completed high school (only) | 68 | 17.2 | (12.1, 22.3) | 23 | 35.4 | (19.2, 51.7) | 3.31 (1.45–7.58) | |
| Any post-secondary education | 405 | 71.1 | (65.0, 77.2) | 183 | 42.0 | (35.4, 48.5) | 4.37 (2.09–9.15) | |
| Current student | ||||||||
| No | 388 | 74.5 | (69.3, 79.7) | 160 | 34.7 | (28.2, 41.3) | 0.0153 | Reference |
| Yes | 131 | 25.5 | (20.3, 30.7) | 62 | 46.3 | (34.5, 58.1) | 1.62 (1.10–2.39) | |
| Born in Canada | ||||||||
| No | 127 | 28.4 | (22.7, 34.2) | 50 | 40.7 | (28.5, 52.9) | 0.3529 | Reference |
| Yes | 393 | 71.6 | (65.8, 77.3) | 172 | 36.4 | (30.0, 42.9) | 0.84 (0.57–1.22) | |
| First language | ||||||||
| English | 432 | 78.9 | (73.5, 84.3) | 193 | 36.7 | (30.6, 42.9) | 0.3962 | Reference |
| Other | 88 | 21.1 | (15.7, 26.5) | 29 | 41.0 | (26.0, 56.1) | 1.20 (0.80–1.82) | |
| Neighbourhood | ||||||||
| Downtown/West End | 220 | 45.0 | (38.9, 51.2) | 97 | 40.7 | (31.2, 50.2) | 0.2786 | Reference |
| Elsewhere in Vancouver | 186 | 31.4 | (26.1, 36.8) | 86 | 37.2 | (28.1, 46.4) | 0.86 (0.58–1.29) | |
| Outside Vancouver | 114 | 23.6 | (18.5, 28.6) | 39 | 32.4 | (20.6, 44.2) | 0.70 (0.45–1.09) | |
| Currently employed | ||||||||
| No | 148 | 36.8 | (30.6, 43.0) | 58 | 29.4 | (19.8, 39.0) | 0.0024 | Reference |
| Yes | 372 | 63.2 | (57.0, 69.4) | 164 | 42.5 | (35.5, 49.5) | 1.77 (1.22–2.56) | |
| Income | ||||||||
| <$18,500 | 214 | 47.0 | (40.9, 53.2) | 91 | 37.1 | (28, 46.2) | 0.9759 | Reference |
| $18,500–44,999 | 192 | 35.2 | (29.5, 40.9) | 81 | 37.8 | (28.4, 47.2) | 1.03 (0.70–1.51) | |
| $50,000–74,999 | 76 | 9.8 | (6.7, 12.8) | 34 | 40.3 | (25, 55.6) | 1.15 (0.63–2.09) | |
| $75,000+ | 38 | 8.0 | (4.8, 11.2) | 16 | 37.1 | (17.1, 57) | 0.10 (0.52–1.93) | |
| Relationship with regular partner | ||||||||
| No | 321 | 65.9 | (60.2, 71.7) | 129 | 34.4 | (27.2, 41.7) | 0.0109 | Reference |
| Yes | 177 | 34.1 | (28.3, 39.8) | 85 | 45.9 | (35.7, 56.1) | 1.61 (1.12–2.33) | |
| Any reported drug use in the past 6 months | ||||||||
| No | 214 | 43.5 | (37.5, 49.6) | 94 | 43.6 | (34.5, 52.7) | 0.0114 | Reference |
| Yes | 306 | 56.5 | (50.4, 62.5) | 128 | 33.1 | (25.8, 40.3) | 0.64 (0.45–0.90) | |
| Any reported party drug use in the past 6 months | ||||||||
| No | 232 | 47.4 | (41.3, 53.5) | 99 | 41.5 | (32.7, 50.2) | 0.0826 | Reference |
| Yes | 288 | 52.6 | (46.5, 58.7) | 123 | 34.3 | (26.7, 41.9) | 0.74 (0.52–1.04) | |
| Any reported injection drug use in the past 6 months | ||||||||
| No | 494 | 94.3 | (90.8, 97.9) | 212 | 38.7 | (32.8, 44.7) | 0.0388 | Reference |
| Yes | 26 | 5.7 | (2.1, 9.2) | 10 | 20.0 | (1.7, 38.2) | 0.40 (0.16–0.95) | |
| Number of male anal sex partners in the past 6 months | ||||||||
| 0–1 | 174 | 35.2 | (29.3, 41.1) | 71 | 34.5 | (24.8, 44.1) | 0.0365 | Reference |
| 2–5 | 156 | 29.2 | (24.0, 34.4) | 60 | 31.9 | (22.5, 41.3) | 0.90 (0.57–1.39) | |
| 6+ | 126 | 22.9 | (17.4, 28.3) | 58 | 44.2 | (30.3, 58.0) | 1.50 (0.95–2.38) | |
| No anal sex in the past 6 months | 64 | 12.7 | (8.8, 16.6) | 33 | 48.1 | (31.2, 65.0) | 1.76 (1.01–3.07) | |
| Unprotected anal sex with opposite or unknown status partner | ||||||||
| No | 334 | 68.9 | (63.4, 74.5) | 146 | 35.6 | (28.6, 42.6) | 0.0927 | Reference |
| Yes | 174 | 31.1 | (25.5, 36.6) | 74 | 43.2 | (32.7, 53.7) | 1.38 (0.95–2.00) | |
| Worked as an escort or in the sex industry | ||||||||
| No | 452 | 85.6 | (81.1, 90.2) | 195 | 40.0 | (33.6, 46.3) | 0.0070 | Reference |
| Yes, in the past 6 months | 28 | 7.9 | (3.8, 12.0) | 10 | 14.8 | (2.2, 27.4) | 0.26 (0.11–0.60) | |
| Yes, but not in the past 6 months | 40 | 6.5 | (4.1, 8.9) | 17 | 35.7 | (17.9, 53.5) | 0.83 (0.41–1.69) | |
| Currently has a family doctor | ||||||||
| No | 226 | 44.9 | (38.8, 51) | 84 | 37.5 | (28.1, 46.8) | 0.9496 | Reference |
| Yes | 293 | 55.1 | (49, 61.2) | 137 | 37.7 | (30.4, 45) | 1.01 (0.72–1.43) | |
| Out to family doctor | ||||||||
| No | 71 | 32.3 | (24.4, 40.2) | 30 | 33.7 | (19.7, 47.7) | 0.2996 | Reference |
| Yes | 218 | 67.7 | (59.8, 75.6) | 105 | 39.9 | (31.3, 48.6) | 1.31 (0.79–2.18) | |
| Told family doctor about male partners | ||||||||
| No family doctor | 226 | 45.2 | (39.1, 51.4) | 84 | 37.5 | (28.1, 46.8) | 0.5793 | Reference |
| Did not tell | 71 | 17.7 | (12.7, 22.6) | 30 | 33.7 | (19.7, 47.7) | 0.85 (0.52–1.39) | |
| Told doctor | 218 | 37.1 | (31.4, 42.8) | 105 | 39.9 | (31.3, 48.6) | 1.11 (0.76–1.62) | |
GBMSM=gay, bisexual, and other men who have sex with men; RDS= respondent-driven sampling; 95% CI=95% confidence interval.
Multivariable models of TasP awareness stratified by HIV status
| HIV-negative GBMSM | HIV-positive GBMSM | |
|---|---|---|
| Ethnicity | ||
| Caucasian | Reference | |
| Asian | 0.91 (0.51–1.63) | |
| Aboriginal ancestry | 0.38 (0.15–0.97) | |
| Other | 1.42 (0.81–2.49) | |
| Sexual orientation | ||
| Gay | Reference | Reference |
| Bisexual | 0.45 (0.24–0.85) | 0.15 (0.05–0.47) |
| Other | 1.75 (0.75–4.11) | 0.71 (0.10–5.21) |
| Education | ||
| Some high school or less | Reference | |
| Completed high school (only) | 3.33 (1.40–7.95) | |
| Any post-secondary education | 3.49 (1.60–7.61) | |
| Current student | ||
| No | Reference | |
| Yes | 1.67 (1.09–2.58) | |
| Born in Canada | ||
| No | Reference | |
| Yes | 4.05 (1.52–10.80) | |
| Currently employed | ||
| No | Reference | |
| Yes | 0.28 (0.13–0.62) | |
| Relationship with regular partner | ||
| No | Reference | |
| Yes | 1.91 (1.27–2.87) | |
| Any reported party drug use in the past 6 months | ||
| No | Reference | |
| Yes | 0.35 (0.13–0.95) | |
| Number of male anal sex partners in the past 6 months | ||
| 0–1 | Reference | |
| 2–5 | 0.75 (0.46–1.21) | |
| 6+ | 1.77 (1.06–2.95) | |
| No anal sex in the past 6 months | 1.94 (1.07–3.52) | |
| Current CD4 cell count | ||
| <200 | Reference | |
| 200–349 | 4.12 (0.69–24.64) | |
| 350+ | 6.30 (1.30–30.64) |
GBMSM=gay, bisexual, and other men who have sex with men; RDS=respondent-driven sampling; 95% CI=95% confidence interval.
Self-perceived knowledge, source of awareness and impact on HIV transmission of Treatment as Prevention (TasP)
| Total sample | HIV-negative GBMSM | HIV-positive GBMSM | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
| ||||||||
|
| RDS % | RDS (95% CI) |
| RDS % | RDS (95% CI) |
| RDS % | RDS (95% CI) |
| |
| How much do you think you know about what TasP means? ( | <0.0001 | |||||||||
| Not much, or nothing at all | 77 | 20.0 | (10.0, 28.5) | 66 | 30.6 | (22.4, 38.8) | 11 | 9.5 | (1.0, 17.9) | |
| A bit in general | 201 | 57.1 | (47.0, 68.6) | 126 | 57.1 | (48.1, 66.0) | 75 | 52.4 | (40.0, 64.8) | |
| A lot | 88 | 22.9 | (14.3, 33.8) | 30 | 12.3 | (7.2, 17.4) | 58 | 38.1 | (26.2, 50.1) | |
| Who or where did you learn about TasP from? ( | ||||||||||
| Friends | 84 | 27.6 | (13.7, 38.6) | 56 | 31.5 | (20.8, 42.2) | 28 | 19.8 | (9.2, 30.4) | 0.0392 |
| Sex partners | 40 | 15.8 | (6.0, 25.9) | 21 | 17.1 | (7.4, 26.9) | 19 | 10.2 | (1.6, 18.9) | 0.1211 |
| Community agency | 106 | 31.7 | (29.1, 55.4) | 47 | 25.3 | (15.8, 34.8) | 59 | 37.7 | (25.6, 49.8) | 0.0338 |
| Doctor | 76 | 27.8 | (16.5, 41.4) | 17 | 9.6 | (4.2, 14.9) | 59 | 44.0 | (31.4, 56.7) | <0.0001 |
| Gay media | 102 | 31.1 | (25.1, 53.2) | 57 | 33.9 | (23.1, 44.7) | 45 | 34.2 | (21.8, 46.7) | 0.9517 |
| How do you think that TasP changes your current risk of getting or transmitting HIV? ( | 0.0020 | |||||||||
| A lot lower | 143 | 57.5 | (42.6, 69.2) | 54 | 40.5 | (28.7, 52.4) | 89 | 63.6 | (51.4, 75.8) | |
| A little lower | 86 | 28.6 | (19.4, 45.7) | 65 | 41.0 | (29.7, 52.4) | 21 | 19.1 | (8.2, 30.1) | |
| No difference | 50 | 10.9 | (4.9, 15.4) | 31 | 16.2 | (9.5, 22.9) | 19 | 13.7 | (6.5, 20.8) | |
| A little higher | 5 | 1.4 | (0.0, 2.1) | 3 | 0.9 | (0, 1.9) | 2 | 2.3 | (0, 6.5) | |
| A lot higher | 5 | 1.6 | (0.0, 4.0) | 3 | 1.3 | (0, 3.1) | 2 | 1.3 | (0, 3.2) | |
GBMSM=gay, bisexual, and other men who have sex with men; RDS=respondent-driven sampling; 95% CI=95% confidence interval.
A sample of participants’ definitions of TasP
| Complete (3 factors identified) |
“By being on treatment and getting to undetectable level you chance of spreading the virus drops by 96%.” “I think treatment as prevention is when someone who is HIV+ receives HAART in order to reduce their viral load down to undetectable to prevent others from getting infected with HIV.” “By take ART medication and becoming undetectable is the best way to ensure that I will not pass the bug forward.” “The idea that, in public health terms, if enough people with HIV are on anti-retroviral treatments the scale of new infections will decrease because enough HIV-positive people will have undetectable, and thus incommunicable, viral loads.” | |
| Two factors identified |
“By having more people living with HIV on anti-retroviral therapy, there is significantly less risk of HIV transmission.” “Maximizing treatment of the known HIV+ population will reduce the risk of transmission thereby reducing the number of new cases.” “Basically what I’ve said to my partners: Find out if you’re poz so that you can start treatment ASAP and you’ll be less like to transmit HIV to another person.” | |
| One factor identified |
“Going on the cocktail.” “Taking my medication regularly.” “Treating a person’s HIV with medication and using education to change sexual behaviours.” “De-stigmatize HIV/illness/addiction to enrol people in testing/treatment programmes.” | |
| Incorrect (No factors identified) |
“I don’t really understand it all that well.” “Do everything you can to not pass it on.” “Condoms and safe sex.” “Be very careful in bed.” “Being tested on a regular basis and safe sex.” “Getting tested regularly which is every 3 months for at-risk guys and every 6 months for low-risk guys.” “As I understood it, it had to do with always checking up and getting tested as a form of prevention.” | |
| PrEP/PEP only |
“I heard it could be a pill you take as a treatment to prevent getting HIV.” “Taking the drugs to help you not to contract if exposed.” “The use of P.R.E.P drugs to prevent successfully contracting HIV during risky sex. Moreover, the use of safe sex practices and a general awareness of risk when engaging in various kinds of sex.” “When someone is exposed to the virus by unprotected sex and its confirmed or to create piece of mind ARV’s are used to prevent infection.” | |