| Literature DB >> 22247757 |
Andreas B Eisingerich1, Ana Wheelock, Gabriela B Gomez, Geoffrey P Garnett, Mark R Dybul, Peter K Piot.
Abstract
BACKGROUND: The use of antiviral medications by HIV negative people to prevent acquisition of HIV or pre-exposure prophylaxis (PrEP) has shown promising results in recent trials. To understand the potential impact of PrEP for HIV prevention, in addition to efficacy data, we need to understand both the acceptability of PrEP among members of potential user groups and the factors likely to determine uptake. METHODS ANDEntities:
Mesh:
Substances:
Year: 2012 PMID: 22247757 PMCID: PMC3256136 DOI: 10.1371/journal.pone.0028238
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Characteristics of participants.
| Key populations at higher risk | ||||||
| Characteristic | MSM | SDCs | FSWs | YW | IDUs | Total – n (%) |
| N = 383 | N = 386 | N = 514 | N = 379 | N = 128 | ||
|
| ||||||
| Male | 361 (94) | 209 (54) | NA | NA | 99 (77) | 669 (37) |
| Female | NA | 176 (46) | 514 (100) | 379 (100) | 29 (23) | 1098 (61) |
| Transgender | 22 (6) | NA | NA | NA | NA | 22 (1) |
| Not stated | NA | 1 (0) | NA | NA | NA | 1 (0) |
|
| ||||||
| 16–24 yr | 150 (39) | 39 (10) | 168 (33) | 377 (99) | 22 (17) | 756 (42) |
| 25–30 yr | 118 (31) | 138 (36) | 158 (31) | NA | 38 (30) | 452 (25) |
| 31–40 yr | 91 (24) | 160 (41) | 137 (27) | NA | 45 (35) | 433 (24) |
| ≥41 yr | 24 (6) | 49 (13) | 51 (10) | 2 (1) | 23 (18) | 149 (8) |
|
| ||||||
| Less than secondary | 88 (23) | 176 (46) | 186 (36) | 153 (40) | 26 (20) | 629 (35) |
| Completed secondary | 141 (37) | 100 (26) | 194 (38) | 151 (40) | 73 (57) | 659 (37) |
| Postsecondary | 152 (40) | 105 (27) | 128 (25) | 71 (19) | 29 (23) | 485 (27) |
| Rather not say/not stated | 2 (1) | 5 (1) | 6 (1) | 4 (1) | - | 17 (1) |
|
| ||||||
| Black | 51 (13) | 386 (100) | 129 (25) | 315 (83) | NA | 881 (49) |
| Mixed race | 27 (7) | NA | NA | 25 (7) | NA | 52 (3) |
| White | 22 (6) | NA | 130 (25) | 21 (6) | 128 (100) | 301 (17) |
| Asian Indian | 154 (40) | NA | 130 (25) | 18 (5) | NA | 302 (17) |
| Hispanic | 129 (34) | NA | 125 (24) | NA | NA | 254 (14) |
|
| ||||||
| Peru | 129 (34) | NA | 125 (24) | NA | NA | 254 (14) |
| Ukraine | NA | NA | 130 (25) | NA | 128 (100) | 258 (14) |
| India | 128 (33) | NA | 130 (25) | NA | NA | 258 (14) |
| Kenya | NA | 127 (33) | 129 (25) | NA | NA | 256 (14) |
| Botswana | NA | 129 (33) | NA | 129 (34) | NA | 258 (14) |
| Uganda | NA | 130 (34) | NA | 126 (33) | NA | 256 (14) |
| South Africa | 126 (33) | NA | NA | 124 (33) | NA | 250 (14) |
Percentages may not total 100 because of rounding. NA denotes not applicable, MSM men who have sex with other men, SDCs serodiscordant couples, FSWs female sex workers, YW young women, IDUs injection drug users, NGOs non governmental organisations and ARV antiretroviral.
20% of MSM were male sex workers. Interviews were conducted in:
Lima and Callao.
Donetsk, Kharkiv, Mykolayiv, and Vinnitsa.
Bangalore, Chennai, Delhi, Hyderabad, Kolkata, Mumbai, Namakkal, and Pune.
Kisumu, Mombasa, and Nairobi.
Gabane, Gaborone, Kanye, Kweneng, Lobatse, Metsimotlhabe, Mochudi, Ramotswa, and Tlokweng.
Jinja, Kampala, and Mbarara.
Bloemfontein, Cape Town, East London, Durban, Johannesburg, Kimberley, Mafikeng, Nelspruit, and Polokwane.
Characteristics of participants – risk factors.
| Key populations at higher risk | ||||||
| Characteristic | MSM | SDCs | FSWs | YW | IDUs | Total – n (%) |
| N = 383 | N = 386 | N = 514 | N = 379 | N = 128 | ||
|
| ||||||
| Number of partners in the last month – n (%) | ||||||
| 0 | 9 (2) | 12 (3) | 2 (0) | 17 (4) | 8 (6) | 48 (3) |
| 1–5 partners | 264 (69) | 355 (92) | 111 (22) | 264 (70) | 111 (88) | 1105 (62) |
| 6–10 partners | 57 (15) | 4 (1) | 79 (15) | 11 (3) | - | 151 (8) |
| 11–20 partners | 27 (7) | 1 (0) | 108 (21) | 8 (2) | - | 144 (8) |
| ≥21 partners | 17 (4) | - | 213 (41) | 1 (0) | 1 (1) | 232 (13) |
| Not stated | 9 (2) | 14 (4) | 1 (0) | 91 (24) | 8 (6) | 123 (7) |
| Frequency of vaginal sex in the last year | ||||||
| Several times a week | 53 (14) | 176 (46) | 428 (83) | 98 (26) | 68 (53) | 823 (46) |
| About once a week | 42 (11) | 105 (27) | 64 (12) | 82 (22) | 33 (26) | 326 (18) |
| About once a month | 26 (7) | 51 (13) | 12 (2) | 60 (16) | 12 (9) | 161 (9) |
| Less often than once a month | 39 (10) | 29 (8) | 8 (2) | 30 (8) | 10 (8) | 116 (7) |
| Not at all | 223 (58) | 25 (6) | - | 32 (8) | 5 (4) | 285 (16) |
| Not stated | - | - | 2 (0) | 77 (20) | - | 79 (4) |
| Frequency of anal sex in the last year – n (%) | ||||||
| Several times a week | 186 (49) | 7 (2) | 57 (11) | 11 (3) | - | 261 (15) |
| About once a week | 113 (30) | 8 (2) | 62 (12) | 15 (4) | 3 (2) | 201 (11) |
| About once a month | 40 (10) | 4 (1) | 67 (13) | 13 (3) | 12 (9) | 136 (8) |
| Less often than once a month | 29 (8) | 11 (3) | 55 (11) | 27 (7) | 13 (10) | 135 (8) |
| Not at all | - | 353 (91) | 273 (53) | 236 (62) | 100 (78) | 962 (54) |
| Not stated | 15 (4) | 3 (1) | - | 77 (20) | - | 95 (5) |
| Frequency of condom use in the last month – n (%) | ||||||
| All the time | 199 (52) | 214 (55) | 319 (62) | 102 (27) | 20 (16) | 854 (48) |
| Most of the time | 96 (25) | 88 (23) | 127 (25) | 60 (16) | 34 (27) | 405 (23) |
| Some of the time | 45 (12) | 35 (9) | 39 (8) | 53 (14) | 17 (13) | 189 (11) |
| Rarely | 11 (3) | 12 (3) | 16 (3) | 14 (4) | 10 (8) | 63 (4) |
| None of the time | 13 (3) | 11 (3) | 10 (2) | 39 (10) | 31 (24) | 104 (6) |
| Not stated | 19 (5) | 26 (7) | 3 (1) | 11 (3) | 16 (13) | 75 (4) |
| Transactional sex at present – n (%) | ||||||
| Yes | 164 (43) | 45 (12) | 514 (100) | 63 (17) | - | 786 (44) |
| No | 219 (57) | 341 (88) | - | 316 (83) | 128 (100) | 1004 (56) |
|
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| Injecting drugs at present – n (%) | ||||||
| Yes | 25 (7) | 12 (3) | 54 (11) | 12 (3) | 128 (100) | 231 (13) |
| No | 357 (93) | 374 (97) | 456 (89) | 367 (97) | - | 1554 (87) |
| Not stated | 1 (0) | - | 4 (1) | - | - | 5 (0) |
| Injected drugs with re-used needle in past month – n (%) | ||||||
| 0 | 361 (94) | 379 (98) | 483 (94) | 369 (97) | 92 (72) | 1684 (94) |
| 1–5 times | 17 (4) | 4 (1) | 29 (6) | 8 (2) | 33 (26) | 91 (5) |
| 6–10 times | 2 (1) | 2 (1) | 1 (0) | 1 (0) | 2 (2) | 8 (0) |
| ≥11 times | 1 (0) | - | - | - | 1 (1) | 2 (0) |
| Not stated | 2 (1) | 1 (0) | 1 (0) | 1 (0) | - | 5 (0) |
Percentages may not total 100 because of rounding. MSM men who have sex with other men, SDCs serodiscordant couples, FSWs female sex workers, YW young women and IDUs injection drug users.
“Not stated” in this section includes participants who reported never having had sex.
Vaginal sex reported by MSM was bisexual.
Figure 1Acceptance of PrEP.
SDCs denotes serodiscordant couples, MSM men who have sex with other men, FSWs female sex workers, YW young women and IDUs injection drug users.
Analysis of variance of attitudes and preferences towards PrEP.
| Question | Country and key population | |||||||||||||
| India | India | Peru | Peru | Ukraine | Ukraine | Kenya | Kenya | Uganda | Uganda | Botswana | Botswana | SA | SA | |
| FSWs | MSM | FSWs | MSM | IDUs | FSWs | SDCs | FSWs | SDCs | YW | SDCs | YW | MSM | YW | |
| If PrEP becomes available, do you think you would use it? | 1.21de | 1.08e | 1.35cde | 1.67abc | 1.68ab | 1.72ab | 1.50abcd | 1.76a | 1.41bcd | 1.65abc | 1.49abcd | 1.75a | 1.42bcd | 1.65abc |
| Would you take PrEP as soon as it becomes available, or not? | 1.28bc | 1.20c | 1.38bc | 1.71ab | 1.41bc | 1.50ab | 1.43bc | 1.73a | 1.39bc | 1.76a | 1.37bc | 1.81a | 1.37bc | 1.55ab |
| Would you take PrEP if it caused mild temporary side effects, or not? | 1.41e | 1.33e | 1.64de | 1.97bcd | 2.12bc | 2.08bc | 1.62de | 2.73a | 1.67de | 1.97bcd | 1.76cde | 2.14b | 2.09bc | 2.24b |
| Would you take PrEP if you had to pay a month for it, or not? | 1.22ef | 1.12f | 1.35def | 1.66cd | 2.29a | 1.55cde | 1.81bc | 1.86bc | 2.11ab | 2.05ab | 1.34def | 1.47de | 1.88bc | 2.04ab |
| Would you take PrEP even if you have to use condoms, or not? | 1.24fg | 1.16g | 1.10g | 1.49cdef | 1.95ab | 1.65bcde | 1.35efg | 2.17a | 1.67bcd | 1.62cde | 1.10g | 1.37defg | 1.68bc | 1.72bc |
| Would you take PrEP if you needed to be tested regularly for HIV, or not? | 1.17e | 1.15e | 1.11e | 1.50cd | 1.56bc | 1.60bc | 1.52cd | 2.33a | 1.41cde | 1.55bc | 1.23de | 1.57bc | 1.52cd | 1.84b |
| How embarrassing, if at all, would you find it to take PrEP? | 3.45bcd | 3.42bcd | 3.89a | 3.62abc | 3.92a | 3.76ab | 3.42bcd | 3.23d | 3.31cd | 3.11d | 3.69ab | 3.66ab | 3.58abc | 3.31cd |
| How anxious, if at all, does the thought of taking PrEP make you feel? | 2.86bc | 2.36defg | 3.08ab | 2.48cdef | 3.45a | 2.76bcd | 2.32efgh | 2.00gh | 1.50i | 1.89hi | 2.15fgh | 2.76bcd | 2.72bcde | 2.51cdef |
| Would you want your partner or partners to know if you were taking PrEP, or not? | 1.87cde | 1.55ef | 2.26bc | 2.05cd | 2.69b | 3.23a | 1.88cde | 2.77ab | 1.98cde | 1.83cdef | 1.29efg | 1.36ef | 1.64defg | 2.27bc |
| How much hope, if any, does PrEP give you for new possibilities for you in life? | 1.28e | 1.32e | 1.50de | 1.75bcd | 2.07a | 1.84ab | 1.42e | 1.94ab | 1.43e | 1.49de | 1.42e | 1.80abc | 1.47de | 1.52cde |
| Would you share PrEP with other people who need it more than you, or not? | 1.65ef | 1.34f | 1.97de | 2.98ab | 2.79bc | 2.56bc | 2.47c | 3.40a | 2.75bc | 2.40cd | 3.32a | 2.46c | 1.87e | 1.90e |
| Would you sell PrEP to other people who need it more than you, or not? | 3.25abc | 2.81d | 3.41abc | 3.58a | 3.52ab | 3.43abc | 3.36abc | 3.09bcd | 3.30abc | 3.04cd | 3.58a | 3.37abc | 2.70d | 2.79d |
Means with different subscripts are significantly different, p<.05. MSM men who have sex with other men, SDCs serodiscordant couples, FSWs female sex workers, YW young women and IDUs injection drug users. Lower means represent a more positive response.
Participants' characteristics and likelihood of PrEP use.
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | |
| 1. Willingness to use PrEP | 1.00 | ||||||||
| 2. Adherence to previous medicine | .10 | 1.00 | |||||||
| 3. Gender | .05 | .04 | 1.00 | ||||||
| 4. Age | −.08 | −.04 | −.26 | 1.00 | |||||
| 5. Number of children | −.10 | −.02 | .04 | .52 | 1.00 | ||||
| 6. Condom usage | .11 | .10 | −.03 | .10 | −.02 | 1.00 | |||
| 7. Tested for HIV/AIDS | .10 | .04 | .08 | .29 | −.23 | .13 | 1.00 | ||
| 8. Ever injected drugs before | −.12 | −.02 | .10 | .05 | .05 | −.15 | .06 | 1.00 | |
| 9. Currently injecting drugs | −.09 | .03 | .13 | .05 | .06 | −.18 | .09 | .76 | 1.00 |
Correlation significant at .01 level.
*Correlation significant at .05 level (2-tailed).
Numbers in the column headings represent the characteristics enumerated in the row headings.
Figure 2Relative importance of key PrEP attributes.
SDCs denotes serodiscordant couples, MSM men who have sex with other men, FSWs female sex workers, YW young women and IDUs injection drug users.
Figure 3Marginal utilities—relative importance of the levels of PrEP attributes.
SDCs denotes serodiscordant couples, MSM men who have sex with other men, FSWs female sex workers, YW young women and IDUs injection drug users. (4, −4) is an arbitrary interval.