| Literature DB >> 36225159 |
Jack L Byrne1, Kyle K H Tan1,2, Peter J Saxton3,4, Ryan M Bentham1, Jaimie F Veale1.
Abstract
INTRODUCTION: Internationally, trans women are disproportionately impacted by HIV, encounter specific barriers navigating safer sex and face inequities accessing HIV prevention, including pre-exposure prophylaxis (PrEP). Aotearoa/New Zealand (hereafter Aotearoa) was one of the first countries internationally to publicly fund PrEP in 2018, including for trans people. However, few data exist on PrEP awareness or sexual negotiation among trans populations to guide implementation. We present the first Aotearoa data on trans people's ability to negotiate barrier protection and awareness of PrEP efficacy and availability.Entities:
Keywords: HIV; New Zealand; condom; pre-exposure prophylaxis; sexuality; transgender
Mesh:
Year: 2022 PMID: 36225159 PMCID: PMC9557014 DOI: 10.1002/jia2.25980
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 6.707
Demographic details of Counting Ourselves participants who have ever had sex (N = 704)
|
| |
|---|---|
| Age groups | |
| 14–18 | 51 (7.2) |
| 19–24 | 192 (27.3) |
| 25–39 | 283 (40.2) |
| 40–54 | 111 (15.8) |
| 55+ | 67 (9.5) |
| Gender groups | |
| Trans women | 227 (32.3) |
| Trans men | 185 (26.4) |
| Non‐binary people AFAB | 218 (31.1) |
| Non‐binary people AMAB | 72 (10.3) |
| Prioritized ethnicity groups | |
| Māori | 90 (12.8) |
| Pasifika | 20 (2.8) |
| Asian | 25 (3.6) |
| Pākehā/New Zealand European (White) | 549 (78.0) |
| Others including MELAA | 20 (2.8) |
| Regions | |
| Auckland | 217 (31.4) |
| Wellington | 206 (29.8) |
| Other north island | 116 (16.8) |
| Other north island | 76 (11.0) |
| Other south island | 76 (11.0) |
| Personal income in the last 12 months | |
| Loss and zero | 42 (6.4) |
| 1–15,000 | 202 (30.7) |
| 15,001–50,000 | 257 (39.1) |
| 50,001 and more | 156 (23.7) |
| Education qualification | |
| None | 30 (4.6) |
| Levels 1–5 (certificate) | 293 (44.6) |
| Levels 6 and 7 (diploma and bachelor) | 177 (26.9) |
| Level 8 and above (postgraduate) | 157 (23.9) |
| Gender and sexual attraction | |
| Trans women attracted to men | 113 (16.2) |
| Trans women not attracted to men | 112 (16.1) |
| Trans men attracted to men | 145 (20.8) |
| Trans men not attracted to men | 39 (5.6) |
| Non‐binary AFAB attracted to men | 164 (23.3) |
| Non‐binary AFAB not attracted to men | 52 (7.5) |
| Non‐binary AMAB attracted to men | 53 (7.6) |
| Non‐binary AMAB not attracted to men | 19 (2.7) |
| Ever engaged in sex work | 135 (19.7) |
| Engaged in sex work in the past year | 49 (7.2) |
Abbreviations: AFAB, assigned female at birth; AMAB, assigned male at birth; MELAA, Middle Eastern/Latin/African.
There were two non‐binary participants who did not report sex assigned at birth.
Percentage of participants who were aware of the following PrEP information (N = 685)
| I knew that | I wasn't sure | I didn't know that | |
|---|---|---|---|
| 1. PrEP (pre‐exposure prophylaxis) is a pill that, if taken every day by someone who is HIV negative, significantly decreases their risk of acquiring HIV | 409 (59.7) | 58 (8.5) | 218 (31.8) |
| 2. If taken correctly, PrEP significantly reduces the risk of acquiring HIV but it does not prevent the transmission of other STIs like gonorrhoea and syphilis | 407 (59.7) | 48 (7.0) | 227 (33.3) |
| 3. PrEP is now publicly funded in New Zealand, if you are “male or transgender” and meet other eligibility criteria | 274 (40.2) | 86 (12.6) | 322 (47.2) |
Compared to the first statement, there were three participants who did not respond to these statements out of participants who have ever had sex.
Individual items within the imputed Trans‐Specific Condom/Barrier Negotiation Self‐Efficacy (T‐Barrier) Scale (N = 618)
| Mean (SD) | Participants who responded “somewhat certain” and “completely certain” ( | |
|---|---|---|
| I could ask a new sexual partner to use a protective barrier | 4.50 (0.94) | 551 (89.2) |
| I could ask a sexual partner I haven't been using protective barriers with to start using them | 4.32 (1.02) | 519 (84.0) |
| I could refuse sex when I don't have a protective barrier available | 4.32 (1.07) | 511 (82.7) |
| I could get a sexual partner to use a protective barrier, even if I'm drunk or high | 3.60 (1.29) | 359 (58.1) |
| I could get a sexual partner to use a protective barrier, even if they don't want to | 3.52 (1.31) | 342 (55.3) |
| If a sexual partner truly sees my gender identity, I could ask them to use a protective barrier | 4.28 (1.04) | 489 (79.1) |
| I could ask a sexual partner who is cisgender (not trans or non‐binary) to use a protective barrier | 4.39 (1.03) | 528 (85.4) |
| I could ask a trans or non‐binary sexual partner to use a protective barrier | 4.51 (0.90) | 547 (88.5) |
| T‐Barrier Scale [8–40] (Mean/SD) | 33.45 (6.89) | |
Abbreviation: SD, standard deviation.
Linear regression of T‐Barrier Scale across demographic groups
| Bivariate | Multivariate | |
|---|---|---|
| b [95% CI] | b [95% CI] | |
| Age | −0.00 [−0.05 to 0.04] | – |
| Gender and sexual attraction | ||
| Trans women attracted to men | Ref | Ref |
| Trans women not attracted to men | −2.28 [−4.26 to −0.31] | −2.40 [−4.37 to −0.43] |
| Trans men attracted to men | −2.26 [−4.00 to −0.52] | −2.18 [−3.93 to −0.43] |
| Trans men not attracted to men | −2.22 [−5.08 to 0.63] | −2.10 [−4.95 to 0.74] |
| Non‐binary AFAB attracted to men | −2.37 [−4.07 to 3–0.68] | −2.30 [−4.00 to −0.59] |
| Non‐binary AFAB not attracted to men | −1.35 [−3.85 to 1.14] | −1.47 [−3.96 to 1.02] |
| Non‐binary AMAB attracted to men | −0.84 [−3.15 to 1.47] | −1.03 [−3.34 to 1.28] |
| Non‐binary AMAB not attracted to men | −1.88 [−5.48 to 1.71] | −2.08 [−5.66 to 1.50] |
| Prioritized ethnicity groups | ||
| Others including Pākehā/New Zealand European (White) | Ref | Ref |
| Māori | −0.38 [−1.98 to 1.23] | −0.31 [−1.91 to 1.30] |
| Pasifika | −1.70 [−4.92 to 1.51] | −2.16 [−5.39 to 1.07] |
| Asian | −3.84 [−6.70 to −0.98] | −3.46 [−6.32 to −0.58] |
| Income | 0.14 [−0.48 to 0.77] | – |
| Education qualification | 0.01 [−0.61 to 0.63] | – |
| Sex work in the last 12 months | −0.07 [−2.03 to 2.01] | – |
Note: b refers to the differences in the predicted scores from the respective category to the reference category.
Abbreviations: AFAB, assigned female at birth; AMAB, assigned male at birth; CI, confidence interval.
*p < 0.05; **p < 0.01.
Logistic regression of PrEP awareness across demographic groups
| First statement | Second statement | Third statement | ||||
|---|---|---|---|---|---|---|
| Bivariate | Multivariate | Bivariate | Multivariate | Bivariate | Multivariate | |
| OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] | OR [95% CI] | |
| Age | 0.99 [0.97–1.00] | 0.99 [0.98–1.00] | 0.98 [0.97–0.99] | 0.99 [0.97–1.00] | 0.99 [0.98–1.00] | – |
| Gender and sexual attraction | ||||||
| Trans women attracted to men | Ref | Ref | Ref | Ref | ||
| Trans women not attracted to men | 0.65 [0.37–1.16] | 0.70 [0.39–1.26] | 0.51 [0.29–0.92] | 0.53 [0.29–0.98] | 0.59 [0.32–1.09] | 0.58 [0.31–1.08] |
| Trans men attracted to men | 3.07 [1.68–5.61] | 2.99 [1.61–5.54] | 2.94 [1.61–5.37] | 2.56 [1.35–4.84] | 2.66 [1.51–4.70] | 2.80 [1.58–4.96] |
| Trans men not attracted to men | 1.75 [0.75–4.07] | 1.76 [0.75–4.14] | 1.37 [0.61–3.06] | 1.22 [0.53–2.78] | 1.62 [0.71–3.72] | 1.73 [0.75–4.00] |
| Non‐binary AFAB attracted to men | 1.78 [1.04–3.06] | 1.67 [0.96–2.91] | 1.48 [0.86–2.53] | 1.26 [0.72–2.23] | 0.97 [0.57–1.67] | 0.96 [0.55–1.65] |
| Non‐binary AFAB not attracted to men | 2.09 [0.95–4.53] | 2.08 [0.95–4.56] | 1.37 [0.65–2.87] | 1.28 [0.59–2.75] | 1.29 [0.62–2.69] | 1.31 [0.63–2.75] |
| Non‐binary AMAB attracted to men | 2.03 [0.93–4.41] | 1.88 [0.86–4.14] | 1.56 [0.74–3.31] | 1.34 [0.62–2.90] | 1.78 [0.87–3.65] | 1.66 [0.80–3.43] |
| Non‐binary AMAB not attracted to men | 0.57 [0.18–1.75] | 0.64 [0.20–2.02] | 0.51 [0.17–1.60] | 0.58 [0.18–1.85] | 0.79 [0.25–2.54] | 0.83 [0.25–2.70] |
|
Prioritized ethnicity groups |
– | |||||
| Others including Pākehā/New Zealand European (White) | Ref | Ref | Ref | – | ||
| Māori | 1.77 [1.00–3.15] | – | 1.79 [1.01–3.18] | 1.56 [0.85–2.84] | 1.43 [0.85–2.41] | – |
| Pasifika | 0.69 [0.27–1.77] | – | 0.56 [0.22–1.44] | 0.55 [0.21–1.48] | 0.78 [0.30–2.05] | – |
| Asian | 1.54 [0.54–4.34] | – | 0.96 [0.37–2.49] | 0.60 [0.22–1.60] | 1.63 [0.68–3.95] | – |
| Income | 1.09 [0.90–1.33] | – | 1.05 [0.87–1.27] | – | 1.19 [0.99–1.44] | – |
| Education qualification | 1.33 [1.09–1.63] | 1.41 [1.14–1.75] | 1.39 [1.14–1.69] | 1.50 [1.21–1.86] | 1.36 [1.12–1.65] | 1.41 [1.16–1.73] |
| Sex work in the last 12 months | 1.44 [0.70–2.93] | – | 1.86 [0.87–4.00] | 1.46 [0.77–2.79] | – | |
Note. First—PrEP (pre‐exposure prophylaxis) is a pill that, if taken every day by someone who is HIV negative, significantly decreases their risk of acquiring HIV.
Second—If taken correctly, PrEP significantly reduces the risk of acquiring HIV but it does not prevent the transmission of other STIs like gonorrhoea and syphilis.
Third—PrEP is now publicly funded in New Zealand, if you are “male or transgender” and meet other eligibility criteria.
Abbreviations: AFAB, assigned female at birth; AMAB, assigned male at birth; CI, confidence interval; OR, odds ration; PrEP, pre‐exposure prophylaxis.
*p < 0.05; **p < 0.01.