| Literature DB >> 31333200 |
Ben Walmsley1, Dan Gallant2, Mark Naccarato1, Mark Hull3, Alex Smith4, Darrell Hoi-San Tan1.
Abstract
BACKGROUND: In response to the high cost of HIV pre-exposure prophylaxis (PrEP) medications in Canada, community organizations have created internet-based guides detailing how to legally order generic medications online and travel to collect them in the United States. However, little is known about the patients following these guides.Entities:
Keywords: HIV; generic antiretroviral drugs; men who have sex with men; online medication shopping; pre-exposure prophylaxis; tenofovir disoproxil fumarate/emtricitabine
Mesh:
Substances:
Year: 2019 PMID: 31333200 PMCID: PMC6681640 DOI: 10.2196/12076
Source DB: PubMed Journal: J Med Internet Res ISSN: 1438-8871 Impact factor: 5.428
Participant characteristics.
| Characteristic | Baseline (n=141) | Follow-up (n=110) | |
| Age (years), median (IQRa) | 23 (22-25) | 23 (22-25) | |
| Black | 112 (79) | 88 (80) | |
| White | 16 (11) | 13 (12) | |
| Southeast Asian | 5 (4) | 4 (4) | |
| Latin American | 3 (2) | 2 (2) | |
| East Asian | 3 (2) | 1 (1) | |
| South Asian | 2 (1) | 2 (2) | |
| High school diploma or less | 53 (38) | 38 (35) | |
| College/undergraduate degree | 81 (57) | 65 (59) | |
| Professional or graduate degree | 7 (5) | 7 (6) | |
| 0-29,999 | 28 (20) | 18 (16) | |
| 30,000-59,000 | 76 (54) | 64 (58) | |
| >60,000 | 35 (25) | 26 (24) | |
| Private insurance | 56 (40) | 43 (39) | |
| Out of pocket | 77 (55) | 63 (57) | |
| Government drug benefit | 8 (6) | 4 (4) | |
| Has a primary care provider with whom they feel comfortable discussing sexual health, n (%) | 117 (83) | 103 (94) | |
| Has previously used pre-exposure prophylaxis, n (%) | 37 (26) | 35 (32) | |
| Alcohol | 116 (82) | 105 (95) | |
| Marijuana (weed) | 47 (33) | 42 (38) | |
| Cocaine | 23 (16) | 24 (22) | |
| Poppers (amyl nitrate) | 22 (16) | 12 (11) | |
| Methamphetamines (crystal and speed) | 9 (6) | 4 (4) | |
| Injectable drugs | 3 (2) | 2 (2) | |
| Genital herpes | 23 (16) | 10 (9) | |
| Gonorrhea | 12 (9) | 7 (6) | |
| Chlamydia | 8 (6) | 3 (3) | |
| Genital or anal warts | 6 (4) | 3 (3) | |
| Syphilis | 3 (2) | 4 (4) | |
| Ever participated in chemsex/party and playd, n (%) | 50 (35) | 43 (39) | |
| High Incidence Risk Index for men who have sex with men, median (IQR)e | 29 (26-30) | 29 (26-32) | |
| Number of male sex partners in past 3 months, median (IQR) | 5 (4-7) | 5 (3-7) | |
| Number of times having condomless receptive anal sex in past 3 months, median (IQR) | 6 (3-14) | 8 (5-11) | |
| Number of partners known to be HIV positive in past 3 months, median (IQR) | 0 (0-1) | 0 (0-1) | |
aIQR: interquartile range.
bTwo participants responded Don’t know in both baseline and follow-up.
cTwo participants did not respond in the baseline.
dOne participant did not respond in the baseline.
eTwo participants did not answer all of the requisite risk questions in the baseline survey.
Figure 1Steps completed in the border crossing for pre-exposure prophylaxis cascade at baseline and 3-months follow-up (n=110 participants who completed both surveys). PrEP: pre-exposure prophylaxis.
Association between participant characteristics and the likelihood of using the border-crossing approach.
| Participant characteristic | Baseline | Follow-up | ||||||||
| Univariable | Multivariable | Univariable | Multivariable | |||||||
| ORa (95% CI) | OR (95% CI) | OR (95% CI) | OR (95% CI) | |||||||
| Age (years) | 0.74 (0.61-0.87) | .001 | —b | — | 0.86 (0.73-0.97) | .03 | — | — | ||
| Black | 8.20 (3.30-21.19) | <.001 | 5.73 (2.06-16.61) | .002 | 15.36 | <.001 | 14.42 (4.48-53.11) | <.001 | ||
| College/undergraduate degree or more | 0.49 (0.18-1.19) | .10 | — | — | 0.79 (0.28-2.07) | .64 | — | — | ||
| 30,000-59,000 | 1.80 (0.60-5.14) | .29 | — | — | 3.49 (0.99-12.21) | .05 | — | — | ||
| >60,000 | 0.76 (0.24-2.31) | .62 | — | — | 0.69 (0.19-2.34) | .69 | — | — | ||
| Out of pocket | 5.75 (2.26-16.72) | <.001 | 5.18 (1.82-17.04) | .003 | 7.20 (2.59-23.60) | <.001 | 6.69 (2.07-25.91) | .003 | ||
| Has a primary care provider that the respondent thinks would be willing to prescribe PrEP | 6.39 (2.66-16.00) | <.001 | 4.42 (1.63-12.41) | .004 | 5.77 (2.18-15.91) | <.001 | — | — | ||
| Has previously used PrEP | 5.83 (1.62-37.45) | .02 | — | — | 3.88 (1.21-17.37) | .04 | — | — | ||
| Able and willing to pay more than Can $100 per month for PrEP | 0.66 (0.28-1.53) | .31 | — | — | 1.02 (0.37-3.10) | .97 | — | — | ||
| High Incidence Risk Index for men who have sex with men score | 1.09 (1.03-1.15) | .002 | — | — | 1.10 (1.04-1.18) | .002 | — | — | ||
| Number of male sex partners in the past 3 months | 1.05 (0.90-1.23) | .63 | — | — | 1.03 (0.87-1.23) | .76 | — | — | ||
| More than a little or greater | 0.97 (0.37-2.87) | .91 | — | — | 0.53 (0.20-1.42) | .19 | — | — | ||
| Ever diagnosed with a sexually transmitted infection | 1.94 (0.72-6.18) | .19 | — | — | 2.38 (0.80-8.76) | .15 | — | — | ||
| Party drug use in the past 6 monthse | 1.59 (0.67-4.13) | .31 | — | — | 1.61 (0.62-4.56) | .34 | — | — | ||
| Ever participated in chemsex/party and play | 2.34 (0.93-6.76) | .12 | — | — | — | .16 | — | |||
| Other (health care provider, community organization, online, etc) | 0.25 (0.10-0.60) | .003 | — | — | 0.20 (0.06-0.52) | .002 | — | — | ||
| Number of barriers perceived/anticipated | 1.19 (0.88-1.65) | .28 | — | — | 0.97 (0.73-1.31) | .87 | — | — | ||
| Concerned about the legality of the approach | 1.47 (0.63-3.44) | .40 | — | — | 1.67 (0.66-4.39) | .28 | — | — | ||
| Knows someone who uses the approach | 6.70 (2.53-21.20) | <.001 | — | — | 2.42 (0.95-6.97) | .07 | — | — | ||
aOR: odds ratio.
bFurther analysis not run on these variables.
cWhite, East Asian, South Asian, and Latin American.
dPrEP: pre-exposure prophylaxis.
eParty drugs specified as methamphetamines, gamma-hydroxybutyrate, amyl nitrate, cocaine, crack, ketamine, and injectable drugs.
Figure 2Reported barriers to using the border-crossing strategy. PrEP: pre-exposure prophylaxis.