| Literature DB >> 36104676 |
Adrian R King1,2, Saanchi Shah3, Laura A Randall4, Paula M Frew4,5, Anne Spaulding6, Ian W Holloway7.
Abstract
BACKGROUND: Outbreaks of new HIV transmission among people who inject drugs (PWID) are a major public health concern. Oral daily PrEP, has been identified as a critical addition to the biomedical toolkit for this population. However, limited research on the acceptability of long-acting injectable PrEP has been conducted with this population.Entities:
Keywords: HIV prevention; Injection drug use; PWID; PrEP; Pre-exposure prophylaxis
Mesh:
Substances:
Year: 2022 PMID: 36104676 PMCID: PMC9473463 DOI: 10.1186/s12879-022-07572-3
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.667
Characteristics of individuals (not positive for HIV) who are likely or unlikely to accept injectable PrEP every 3 months in the Health Behaviors among Opioid Users study (N = 997)
| 3-month injectable PrEP acceptability | ||
|---|---|---|
| Characteristic | Likely (N = 381) | Not likely (N = 616) |
| N (%) | N (%) | |
| Total | 381 (38.2) | 616 (61.8) |
| Age groups | ||
| 18–25 | 24 (6.30) | 44 (7.14) |
| 26–35 | 128 (33.60) | 195 (31.66) |
| 36–45 | 96 (25.20) | 156 (25.32) |
| 46–55 | 88 (23.10) | 128 (20.78) |
| 56–65 | 42 (11.02) | 81 (13.15) |
| 66 or older | 3 (0.79) | 12 (1.95) |
| Race/ethnicity | ||
| Hispanic | 73 (19.6) | 163 (27.6) |
| White | 201 (54) | 247 (41.9) |
| Black | 74 (19.9) | 135 (22.9) |
| Other | 24 (6.5) | 45(7.6) |
| Gender identity | ||
| Male | 211 (55.38) | 402 (65.26) |
| Female | 166 (43.57) | 213 (34.58) |
| Other | 2 (0.52) | 0 |
| Decline to answer | 2 (0.52) | 1 (0.16) |
| Gender/sexual orientation | ||
| Heterosexual men | 175 (46.9) | 358 (59.1) |
| Heterosexual women | 104 (27.9) | 140 (23.1) |
| Sexual minority men | 35 (9.4) | 38 (6.3) |
| Sexual minority women | 59 (15.8) | 70 (11.6) |
| Location | ||
| Las Vegas | 157 (41.21) | 231 (37.5) |
| Los Angeles | 131 (34.38) | 265 (43.02) |
| Atlanta | 93 (24.41) | 120 (19.48) |
| Born in the US | ||
| Yes | 362 (95.01) | 582 (94.48) |
| No | 15 (3.94) | 32 (5.19) |
| Not sure | 1 (0.26) | 1 (0.16) |
| Decline to answer | 3 (0.79) | 1 (0.16) |
| Education | ||
| Up to high school | 187 (49.47) | 387 (63.34) |
| Some college/vocational/associate degree | 160 (42.33) | 188 (30.77) |
| Bachelor's/Master's/Doctorate degree | 31 (8.20) | 36 (5.89) |
| Missing | 8 | |
| Relationship status | ||
| Never married | 196 (52.13) | 325 (53.72) |
| Ever married | 140 (37.23) | 216 (35.70) |
| Partnered | 40 (10.64) | 64 (10.58) |
| Missing | 16 | |
| Employment status | ||
| Employed | 83 (22.19) | 124 (20.5) |
| Unemployed and looking for work | 139 (37.17) | 230 (38.02) |
| Unemployed and not looking for work | 60 (16.04) | 99 (16.36) |
| Out of workforce | 85 (22.73) | 139 (22.98) |
| Other | 7 (1.87) | 13 (2.15) |
| Missing | 18 | |
| Controlled environment in the last 6 months | ||
| Yes, in the last 6 months | 150 (39.79) | 256 (42.31) |
| Not held in a controlled environment in the last 6 months | 165 (43.77) | 228 (37.69) |
| Never held in a controlled environment | 43 (11.41) | 68 (11.24) |
| Decline to answer | 19 (5.04) | 53 (8.76) |
| Missing | 15 | |
| Insurance access | ||
| Yes | 262 (68.77) | 423 (68.67) |
| No | 100 (26.25) | 138 (22.4) |
| Unsure | 19 (4.99) | 55 (8.93) |
| Missing | 9 | |
| Annual household income | ||
| Less than $20,000 | 269 (70.79) | 422 (69.07) |
| $20,001–$40,000 | 37 (9.74) | 60 (9.82) |
| $40,001–$60,000 | 16 (4.21) | 25 (4.09) |
| $60,001–$80,000 | 7 (1.84) | 10 (1.64) |
| $80,001–$100,000 | 5 (1.32) | 3 (0.49) |
| $100,001–$120,000 | 0 | 4 (0.65) |
| $120,001–$140,000 | 3 (0.79) | 1 (0.16) |
| $140,001–$160,000 | 0 | 3 (0.79) |
| $160,001–$180,000 | 0 | 1 (0.16) |
| $180,001–$200,000 | 0 | 2 (0.33) |
| $200,001 or more | 5 (1.32) | 8 (1.31) |
| Decline to answer | 38 (10) | 72 (11.78) |
| Missing | 6 | |
| SNAP benefits | ||
| Yes | 220 (58.05) | 345 (56.74) |
| No | 146 (38.52) | 236 (38.82) |
| Don't know | 5 (1.32) | 18 (2.96) |
| Decline to answer | 8 (2.11) | 9 (1.48) |
| Missing | 10 | |
| Currently homeless | ||
| Yes | 217 (56.96) | 378 (62.27) |
| No | 145 (38.06) | 204 (33.61) |
| Not sure | 13 (3.41) | 17 (2.8) |
| Decline to answer | 6 (1.57) | 8 (1.32) |
| Missing | 9 | |
| Substance use over the last 30 days (check all that apply) | ||
| Heroin | 307 (80.57) | 442 (71.75) |
| Opiates | 153 (40.15) | 194 (31.49) |
| Sedatives | 115 (30.18) | 125 (20.29) |
| Amphetamines | 224 (58.79) | 277 (44.97) |
| Cannabis | 205 (53.80) | 262 (42.53) |
| Missing | 9 | |
| Any substance use via injection in the past 6 monthsa | ||
| Yes | 313 (82.15) | 437 (70.94) |
| No | 68 (17.85) | 179 (29.06) |
aPolysubstance use was commonly observed among our sample. Substances may have been administered through multiple other routes as well
PrEP-Specific Variables among HIV negative participants (N = 997)
| N | % | |
|---|---|---|
| How much have you heard about PrEP? | ||
| A good amount | 191 | 19.3 |
| Not much | 752 | 76 |
| Decline to answer | 46 | 4.6 |
| Missing | 8 | |
| Have you ever taken PreP? | ||
| Yes | 37 | 3.7 |
| No | 899 | 91.1 |
| Not sure | 21 | 2.1 |
| Decline to answer | 30 | 3 |
| Missing | 10 | |
| Are you currently taking PrEP? | ||
| Yes | 12 | 27.3 |
| No | 28 | 63.6 |
| Decline to answer | 4 | 9.1 |
| If you wanted to start taking PrEP, would you know how to get it? | ||
| Yes | 222 | 22.5 |
| No | 563 | 57.2 |
| Not sure | 165 | 16.7 |
| Decline to answer | 35 | 3.5 |
| Missing | 12 | |
| How likely would you be to use injectable PrEP every month? | ||
| Likely | 322 | 32.4 |
| Not likely | 671 | 67.6 |
| Missing | 4 | |
| How likely would you be to use injectable PrEP every 3 months? | ||
| Likely | 381 | 38.2 |
| Not likely | 616 | 61.8 |
| How likely would you be to use a lubricant that included PrEP? | ||
| Likely | 320 | 32.3 |
| Not likely | 672 | 67.7 |
| Missing | 5 | |
| How likely would you be to use spermicide that included PrEP? | ||
| Likely | 290 | 29.8 |
| Not likely | 683 | 70.2 |
| Missing | 24 | |
80 participants among the 1077 HIV-negative participants did not respond to our outcome variable, “How likely would you be to use injectable PrEP every 3 months?”. Hence, the analytical sample comprises 997 participants
Bivariate logistic regression of predictors of the likelihood of PrEP acceptability every 3 months among non-HIV-positive individuals in the Health Behaviors among Opioid Users study (N = 997)
| cOR | 95% CI | ||
|---|---|---|---|
| Race/ethnicity (N = 962) | |||
| White | Reference | – | – |
| Hispanic | 0.550** | 0.395, 0.768 | 0.0004 |
| Black | 0.674* | 0.48, 0.946 | 0.0224 |
| Other | 0.655 | 0.386, 1.113 | 0.1176 |
| Born in the US (N = 997) | |||
| Yes | 1.327 | 0.71, 2.48 | 0.377 |
| No | Reference | – | – |
| Gender/sexual orientation (N = 979) | |||
| Heterosexual men | 0.531* | 0.324, 0.869 | 0.0119 |
| Heterosexual women | 0.807 | 0.477, 1.363 | 0.421 |
| Sexual minority men | Reference | – | – |
| Sexual minority women | 0.915 | 0.515, 1.627 | 0.762 |
| Relationship status (N = 981) | |||
| Partnered | 1.036 | 0.672, 1.598 | 0.87 |
| Ever married | 1.075 | 0.815, 1.1418 | 0.609 |
| Never married | Reference | – | – |
| Education (N = 989) | |||
| Up to High School | Reference | – | – |
| Some college/vocational education | 1.761** | 1.34, 2.316 | < 0.0001 |
| Higher education | 1.782* | 1.069, 2.971 | 0.0267 |
| Employment status (N = 997) | |||
| Unemployed and looking for work | Reference | – | – |
| Unemployed and not looking for work | 1.003 | 0.683, 1.472 | 0.988 |
| Out of workforce | 1.012 | 0.719, 1.425 | 0.95 |
| Employed | 1.108 | 0.781, 1.57 | 0.57 |
| Other | 0.891 | 0.347, 2.287 | 0.81 |
| Controlled environment in the past 6 months (N = 982) | |||
| Yes, in the past 6 months | Reference | – | – |
| Not in the past 6 months | 1.235 | 0.93, 1.641 | 0.145 |
| Never held in a controlled environment | 1.079 | 0.701, 1.662 | 0.729 |
| Injectable substance use (N = 997) | |||
| Yes | 1.885** | 1.376, 2.582 | < 0.001 |
| No | Reference | – | – |
| Location (N = 997) | |||
| Atlanta | 1.568* | 1.113, 2.208 | 0.01 |
| Las Vegas | 1.375* | 1.027, 1.84 | 0.032 |
| Los Angeles | Reference | – | – |
| Insurance access (N = 997) | |||
| Yes | 0.855 | 0.634, 1.153 | 0.3 |
| No | Reference | – | – |
cOR crude odds ratio, CI confidence interval
*Indicates p < 0.05
**Indicates p < 0.01
Adjusted logistic regression predicting acceptability of PrEP every 3 months among non-HIV positive individuals in the Health Behaviors among opioid users study (N = 945)
| Predictor | aOR | 95%CI | |
|---|---|---|---|
| Injection drug usea | 1.705** | 1.198, 2.427 | 0.003 |
aOR adjusted odds ratio, CI confidence interval
aThe model was controlled for education, gender/sexual orientation, race and location
*Indicates p < 0.05