| Literature DB >> 28662716 |
Suzan M Walters1,2, Kathleen H Reilly3, Alan Neaigus4, Sarah Braunstein3.
Abstract
BACKGROUND: Women who inject drugs (WWID) are at heightened risk for HIV due to biological, behavioral, and structural factors. Pre-exposure prophylaxis (PrEP) could aid in HIV prevention for WWID. However, little is known about WWID awareness of PrEP, which is a necessary step that must occur before PrEP uptake. We report factors associated with greater awareness among WWID to identify efficient means of awareness dissemination.Entities:
Keywords: Gender; HIV; Injection drug use; Pre-exposure prophylaxis; Sex work; Syringe exchange programs
Mesh:
Year: 2017 PMID: 28662716 PMCID: PMC5492910 DOI: 10.1186/s12954-017-0166-x
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
Probability of PrEP awareness by demographic and behavioral characteristics of women who inject drugs (WWID) New York City, NHBS 2015 (n = 118)
| Aware of PrEP ( | Unaware of PrEP ( | Total | Chi-squared statistic | ||||
|---|---|---|---|---|---|---|---|
| Variable |
| % |
| % |
| Row % | |
| PrEP awareness | 37 | 31 | 81 | 69 | 118 | 100 | |
| Age | |||||||
| 18–29 | 5 | 38 | 8 | 62 | 13 | 100 | χ2(3) = 1.99 |
| 30–39 | 7 | 30 | 16 | 70 | 23 | 100 | |
| 40–49 | 8 | 23 | 27 | 77 | 35 | 100 | |
| 50 and older | 17 | 36 | 30 | 64 | 47 | 100 | |
| Race | |||||||
| Hispanic/Latina | 15 | 33 | 30 | 67 | 45 | 100 | χ2(2) = 0.55 |
| African American/Black | 12 | 27 | 32 | 73 | 44 | 100 | |
| White/multiracial/other | 10 | 34 | 19 | 66 | 29 | 100 | |
| Education | |||||||
| Some high school or less | 13 | 28 | 34 | 72 | 47 | 100 | χ2(2) = 1.09 |
| High school graduate or GED | 11 | 30 | 26 | 70 | 37 | 100 | |
| Some college or above | 13 | 38 | 21 | 62 | 34 | 100 | |
| Household income | |||||||
| Up to $10,000 | 32 | 34 | 63 | 66 | 95 | 100 | χ2(2) = 1.24 |
| $10,000–$25,000 | 4 | 22 | 14 | 78 | 18 | 100 | |
| $25,000 and above | 1 | 20 | 4 | 80 | 5 | 100 | |
| Homelessª | 22 | 32 | 46 | 68 | 68 | 100 | χ2(1) = 0.07 |
| Lesbian, gay, or bisexual identity | 12 | 38 | 20 | 63 | 32 | 100 | χ2(1) = 0.77 |
| Incarceration (ever) | 28 | 32 | 59 | 68 | 87 | 100 | χ2(1) = 0.11 |
| Health care/prevention | |||||||
| Current health care | 35 | 31 | 79 | 69 | 114 | 100 | χ2(1) = 0.67 |
| Usual source of care | 35 | 32 | 75 | 68 | 110 | 100 | χ2(1) = 0.16 |
| Seen health care providerª | 35 | 32 | 73 | 68 | 108 | 100 | χ2(1) = 0.65 |
| Syringe exchange prevention conversation | 19 | 54 | 16 | 46 | 35 | 100 | χ2(1) = 12.15*** |
| Risk factors | |||||||
| STI Testª | 21 | 40 | 32 | 60 | 53 | 100 | χ2(1) = 3.05^ |
| Condomless vaginal/anal sexª | 22 | 29 | 54 | 71 | 76 | 100 | χ2(1) = 0.58 |
| Transactional sexª | 16 | 43 | 21 | 57 | 37 | 100 | χ2(1) = 3.54^ |
| Binge drinkingb | 13 | 41 | 19 | 59 | 32 | 100 | χ2(1) = 1.75 |
| Non-injection drug usedª | 26 | 30 | 61 | 70 | 87 | 100 | χ2(1) = 0.33 |
| Injection sharingª | 12 | 32 | 26 | 68 | 38 | 100 | χ2(1) = 0.001 |
| Positive HIV test | 0 | 0 | 2 | 100 | 2 | 100 | χ2(1) = 0.93 |
| Hepatitis C diagnosis (Ever) | 8 | 23 | 27 | 77 | 35 | 100 | χ2(1) = 1.67 |
ªIndicates within the last 12 months
bIndicates within the last 30 days
^p < .10; ***p < .001
Risk factors of women who inject drugs who engaged in transactional sex, New York City, NHBS 2015 (n = 37)
| Variable | Number | Percent |
|---|---|---|
| STI testª | 16 | 43 |
| Condomless vaginal/anal sexª | 29 | 78 |
| Binge drinkingb | 10 | 27 |
| Non-injection drug usedª | 32 | 86 |
| Injection sharingª | 9 | 24 |
| Positive HIV test | 1 | 3 |
| Hepatitis C diagnosis (ever) | 9 | 24 |
ªIndicates within the last 12 months
bIndicates within the last 30 days
Logistic regression examining knowledge of PrEP among women who inject drugs (WWID) in New York City: National HIV Behavioral Surveillance system injection drug user cycle, 2015 (n = 118)
| AOR | 95% CI | |
|---|---|---|
| Race | ||
| Hispanic/Latina | 1.19 | 0.35–3.97 |
| African American/Black | 0.34 | 0.85–1.35 |
| White/multiracial/other | Ref | |
| Education | ||
| Some high school or less | Ref | |
| High school graduate or GED | 1.3 | 0.42–4.03 |
| Some college or above | 2.2 | 0.69–7.04 |
| Household income | ||
| Up to $10,000 | Ref | |
| $10,000–$25,000 | 0.33 | 0.07–1.45 |
| $25,000 and above | 0.79 | 0.05–12.46 |
| Age (years) | ||
| 18–29 | 0.8 | 0.15-4.43 |
| 30–39 | 0.39 | 0.10–1.59 |
| 40–49 | 0.31^ | 0.09–1.06 |
| 50 and older | Ref | |
| Transactional sexª | ||
| Yes | 3.32* | 1.22–9.00 |
| No | Ref | |
| Syringe exchange prevention conversation | ||
| Yes | 7.61*** | 2.65–21.84 |
| No | Ref | |
| Lesbian, gay, or bisexual (LGB) | ||
| Yes | 1.94 | 0.70–5.33 |
| No | ||
| Binge drinkingb | ||
| Yes | 2.63^ | 0.89–7.76 |
| No | ||
ªIndicates within the last 12 months
bIndicates within the last 30 days
For a two-tailed test: ^indicates p < .10, *indicates p < .05, and ***indicates p < .001
Log likelihood = −117