| Literature DB >> 36225745 |
Kristi C Hill1,2, Sarah M Kattakuzhy3, Rachel Silk3, Rahwa Eyasu3, Onyinyechi Ogbumbadiugha3, Emade Ebah3, Amelia A Cover3, Ashley Davis3, Britt Gayle3, David Sternberg4, Phyllis Bijole4, Junfeng Sun5, Henry Masur5, Shyam Kottilil3, Daniel Solomon1, Elana S Rosenthal3.
Abstract
Background: Individuals with hepatitis C (HCV) represent a population that may benefit from pre-exposure prophylaxis (PrEP), given the overlapping risk factors and transmission networks of HCV and HIV. This analysis assesses the prevalence of PrEP indications among individuals with HCV monoinfection and PrEP awareness, interest, and access in this population.Entities:
Keywords: HCV; HIV; HIV prevention; PWID; PrEP; hepatitis C; people who inject drugs; pre-exposure prophylaxis
Year: 2022 PMID: 36225745 PMCID: PMC9547499 DOI: 10.1093/ofid/ofac476
Source DB: PubMed Journal: Open Forum Infect Dis ISSN: 2328-8957 Impact factor: 4.423
Sociodemographic Characteristics (n = 314)
| Study Site, No. (%) | |
|---|---|
|
| 264 (84) |
|
| 8 (3) |
|
| 1 (0.3) |
|
| 9 (3) |
|
| 13 (4) |
|
| 19 (6) |
| Age, median (IQR), y | 57 (52–62) |
| Race, No. (%) | |
|
| 1 (0.3) |
|
| 3 (1) |
|
| 275 (88) |
|
| 4 (1) |
|
| 27 (9) |
|
| 4 (1) |
| Gender identity, No. (%) | |
|
| 105 (33) |
|
| 207 (66) |
|
| 1 (0.3) |
|
| 1 (0.3) |
| Sexual orientation, No. (%)[ | |
|
| 246 (78) |
|
| 5 (2) |
|
| 4 (1) |
|
| 1 (0.3) |
|
| 5 (2) |
|
| 4 (1) |
| Income source, check all that apply, No. (%) | |
|
| 133 (42) |
|
| 15 (5) |
|
| 146 (46) |
|
| 13 (4) |
|
| 5 (2) |
|
| 8 (3) |
|
| 1 (0.3) |
| Educational attainment, No. (%) | |
|
| 25 (8) |
|
| 10 (3) |
|
| 118 (38) |
|
| 3 (1) |
|
| 60 (19) |
|
| 91 (29) |
|
| 7 (2) |
| Housing, No. (%) | |
|
| 146 (47) |
|
| 3 (1) |
|
| 26 (8) |
|
| 50 (16) |
|
| 74 (24) |
|
| 15 (5) |
| At least annual visits with regular medical provider | 199 (63) |
| Health care resources utilized if no regular provider (n = 115), check all that apply, No. (%) | |
|
| 21 (18) |
|
| 71 (62) |
|
| 2 (2) |
|
| 7 (6) |
|
| 3 (3) |
|
| 8 (7) |
|
| 18 (16) |
| Medical insurance, check all that apply, No. (%) | |
|
| 19 (6) |
|
| 170 (54) |
|
| 96 (31) |
|
| 46 (15) |
|
| 15 (5) |
|
| 9 (3) |
|
| 2 (1) |
| Barriers to medical care, check all that apply, No. (%)[ | |
|
| 99 (32) |
|
| 42 (13) |
|
| 13 (4) |
|
| 12 (4) |
|
| 2 (1) |
|
| 18 (6) |
|
| 24 (8) |
|
| 154 (49) |
|
| 157 (50) |
Abbreviations: FQHC, federally qualified health center; IQR, interquartile range.
Forty-nine missing.
Three missing.
Sexual Behavior, Drug Use, and PrEP Variables (n = 314)
| Any Lifetime Drug Use (Excluding Marijuana) | 306 (97) |
|---|---|
| Drug use in the last 12 mo (excluding marijuana) | 265 (84) |
| All drugs used without a prescription in the last 12 mo (check all that apply) | |
|
| 14 (4) |
|
| 123 (39) |
|
| 56 (18) |
|
| 239 (76) |
|
| 12 (4) |
|
| 7 (2) |
|
| 13 (4) |
|
| 16 (5) |
|
| 10 (3) |
| Injection drug use in last 12 mo | 197 (63) |
|
| 168 (85) |
|
| 115 (58) |
|
| |
|
| 9 (5) |
|
| 160 (81) |
|
| 2 (1) |
|
| 21 (11) |
|
| 5 (3) |
| Frequency of using non-needle injection equipment after someone else had already used it in the last 12 mo[ | |
|
| 10 (5) |
|
| 137 (70) |
|
| 11 (6) |
|
| 24 (12) |
|
| 15 (8) |
| Endorses backloading in the last 12 mo[ | 27 (14) |
| Sexual intercourse in the last 12 mo | 192 (61) |
| No. of sexual partners in last 12 mo[ | |
|
| 20 (10) |
|
| 8 (4) |
|
| 7 (4) |
|
| 99 (52) |
|
| 25 (13) |
| Transactional sex in last 12 mo | 29 (15) |
| Frequency of barrier protection during vaginal sex in last 12 mo[ | |
|
| 18 (9) |
|
| 47 (24) |
|
| 27 (14) |
|
| 80 (42) |
|
| 13 (7) |
|
| 6 (3) |
| Frequency of barrier protection during anal sex in last 12 mo[ | |
|
| 1 (0.5) |
|
| 3 (2) |
|
| 3 (2) |
|
| 12 (6) |
|
| 4 (2) |
|
| 169 (88) |
| Sexual partners in last 12 mo (check all that apply)[ | |
|
| 7 (4) |
|
| 35 (18) |
|
| 7 (4) |
|
| 10 (5) |
|
| 41 (21) |
|
| 129 (67) |
| PrEP indication | 109 (35) |
| Type of indication[ | |
|
| 40 (37) |
|
| 48 (44) |
|
| 21 (19) |
| Do you consider yourself high risk for contracting HIV? | |
|
| 264 (84) |
|
| 47 (15) |
|
| 3 (1) |
| Have you ever heard of PrEP or Truvada for PrEP? | |
|
| 229 (73) |
|
| 85 (27) |
| Have you ever been offered PrEP or Truvada for PrEP by a provider? | |
|
| 282 (90) |
|
| 32 (10) |
| Are you currently on Truvada for PrEP? | |
|
| 308 (98) |
|
| 6 (2) |
| Would you be interested in taking PrEP?[ | |
|
| 190 (63) |
|
| 85 (28) |
|
| 29 (10) |
Abbreviations: IDU, injection drug use; MSM, men who have sex with men; PrEP, pre-exposure prophylaxis; PWID, people who inject drugs.
Four missing.
Among those who reported IDU in the last 12 months (n = 197).
Thirty-three missing.
Among those who reported sexual intercourse in the last 12 months (n = 192).
One missing.
Among those with any PrEP indication (n = 109).
Ten missing.
Figure 1.PrEP eligibility and HIV risk perception. Abbreviation: PrEP, pre-exposure prophylaxis.
Bivariate Correlation of HIV Risk Perception With PrEP Characteristics Among Individuals With PrEP Indications (n = 109)
| Considers Self High Risk for HIV | |||
|---|---|---|---|
| Yes, No. (%) | No, No. (%) |
| |
| Race | |||
|
| 24 (31) | 54 (69) | .57 |
|
| 1 (14) | 6 (86) | |
|
| 6 (25) | 18 (75) | |
| Gender | |||
|
| 18 (42) | 25 (58) | .01 |
|
| 12 (19) | 52 (81) | |
| Transactional sex | |||
|
| 14 (25) | 43 (75) | .01 |
|
| 15 (52) | 14 (48) | |
| Drug PrEP indication | |||
|
| 12 (30) | 28 (70) | .78 |
|
| 19 (28) | 50 (72) | |
| Sexual PrEP indication | |||
|
| 11 (23) | 37 (77) | .25 |
|
| 20 (33) | 41 (67) | |
Abbreviation: PrEP, pre-exposure prophylaxis.
Multivariable Analysis of Demographic Categories and PrEP Characteristics (n = 314)
| PrEP Awareness | PrEP Offers | PrEP Interest | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | OR | 95% CI | |
| Site | ||||||
|
| … | … | … | … | 0.02 | 0.002–0.22 |
|
| 2.15 | 0.50–9.21 | 1.07 | 0.11–10.39 | 0.27 | 0.03–2.42 |
|
| 3.04 | 0.92–10.07 | 0.68 | 0.07–6.21 | 1.31 | 0.38–4.59 |
|
| 16.3 | 4.3–60.9 | 7.69 | 2.38–24.83 | 1.83 | 0.60–5.53 |
| Race | ||||||
|
| 0.93 | 0.29–2.98 | 1.34 | 0.27–6.62 | 4.43 | 1.27–15.44 |
|
| 1.44 | 0.29–7.07 | 6.61 | 0.94–46.81 | 3.04 | 0.53–17.52 |
| Age | 0.97 | 0.94–1.00 | 1.00 | 0.95–1.04 | 0.97 | 0.94–0.997 |
| Gender (female vs male) | 0.74 | 0.40–1.37 | 1.13 | 0.49–2.61 | 1.17 | 0.68–2.03 |
| Drug use PrEP indication | 1.73 | 0.86–3.47 | 1.51 | 0.59–3.90 | 1.43 | 0.73–2.81 |
| Sexual PrEP indication | 1.37 | 0.64–2.92 | 0.70 | 0.23–2.16 | 1.39 | 0.67–2.88 |
| Considers self high risk for HIV | 0.52 | 0.20–1.36 | 0.87 | 0.25–3.00 | 12.3 | 4.4–34.5 |
Abbreviations: OR, odds ratio; PrEP, pre-exposure prophylaxis.