| Literature DB >> 23342121 |
Ana Wheelock1, Andreas B Eisingerich, Jintanat Ananworanich, Gabriela B Gomez, Timothy B Hallett, Mark R Dybul, Peter Piot.
Abstract
OBJECTIVE: We aimed to understand the attitudes, preferences and acceptance of oral and parenteral PrEP among men who have sex with men (MSM) in Thailand.Entities:
Mesh:
Substances:
Year: 2013 PMID: 23342121 PMCID: PMC3544831 DOI: 10.1371/journal.pone.0054288
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Participants’ characteristics.
| CHARACTERISTIC | TOTAL |
|
| |
| Male | 259 (99) |
| Transgender | 1 (0) |
|
| |
| 16–18 yr | 11 (4) |
| 19–24 yr | 139 (54) |
| 25–30 yr | 71 (27) |
| 31–35 yr | 28 (11) |
| ≥36 yr | 11 (4) |
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| |
| Less than secondary | 2 (1) |
| Completed secondary | 12 (5) |
| Postsecondary | 245 (94) |
| Rather not say | 1 (0) |
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| Having taken regular medication in the past | 250 (96) |
| Not having taken regular medication in the past | 9 (4) |
| Do not know/Cannot remember | 1 (0) |
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| Having been tested | 153 (59) |
| Not having been tested | 107 (41) |
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| Very afraid | 161 (62) |
| Fairly afraid | 59 (23) |
| Not very afraid | 22 (9) |
| Not at all afraid | 18 (7) |
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| |
|
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| 1 partner | 108 (42) |
| 2 partners | 62 (24) |
| 3–5 partners | 37 (14) |
| ≥6 partners | 13 (6) |
| Not stated | 5 (2) |
|
| |
| Several times a week | 35 (14) |
| About once a week | 89 (34) |
| About once a month | 65 (25) |
| Less often than once a month | 58 (22) |
| Not stated | 13 (5) |
|
| |
| Several times a week | 0.8 (2) |
| About once a week | 0.4 (1) |
| About once a month | 0.8 (2) |
| Less often than once a month | 5.8 (15) |
| None of the time | 92.3 (240) |
|
| |
| All the time | 124 (48) |
| Most of the time | 44 (17) |
| Some of the time | 28 (11) |
| Rarely | 7 (3) |
| None of the time | 17 (7) |
| Not stated | 40 (15) |
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| |
| Yes | 31 (12) |
| No | 229 (88) |
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| Injecting drugs at present | |
| Yes | 2 (1) |
| No | 258 (99) |
Anal sex was insertive and/or receptive.
Vaginal sex reported was bisexual.
Percentages may not total 100 because of rounding.
Likelihood of PrEP use.
| Yes, definitely(%) | Yes, probably(%) | No, probablynot (%) | No, definitelynot (%) | Not stated1/Donot mind2 (%) | |
| If PrEP became available, do you thinkyou would use it? | 39.2 | 49.2 | 7.3 | 4.2 | |
| Would you take PrEP as soon as itbecomes available? | 19.6 | 41.9 | 25.8 | 1.2 | 11.51 |
| Would you take PrEP if it caused mildtemporary side effects? | 24.6 | 56.5 | 13.8 | 5 | |
| Would you take PrEP if you had to pay500 Baht a month for it? | 58.8 | 35 | 4.2 | 1.9 | |
| Would you take PrEP even if you haveto use condoms? | 52.7 | 36.9 | 8.5 | 1.9 | |
| Do you think you would use PrEP if neededto be tested regularly for HIV/AIDS? | 43.6 | 44.8 | 8.1 | 3.5 | |
| Would you want your partner(s)to know that you are taking PrEP? | 45.4 | 24.2 | 12.7 | 11.9 | 5.82 |
| Would you share PrEP if you only hadenough to protect yourself and was givenfor free? | 26.5 | 43.8 | 12.7 | 16.9 | |
| Would you sell PrEP to other peoplewho need it more than you? | 6.9 | 28.8 | 20.4 | 43.5 | |
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| How embarrassing would you find it totake PrEP? | 2.7 | 5.8 | 15 | 76.5 | |
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| How anxious does the thought of takingPrEP make you feel? | 2.7 | 35.4 | 31.9 | 30 | |
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| How much hope does PrEP give you? | 38.5 | 55.8 | 5 | 0.8 |
150 Baht is equal to the cost of two packs of headache medicine in Thailand.
Percentages may not total 100 because of rounding.
Correlations between participants’ characteristics and likelihood of PrEP use.
| Age | Education | Fear ofcontractingHIV | Number ofpartnersin the lastmonth | Frequency ofcondom usein the lastmonth | Frequency ofvaginal sexin the lastyear | Frequency ofanal sexin the lastyear | |
| If PrEP became available, do you thinkyou would use it? | 0.00 | −0.02 |
|
| 0.02 | −0.07 |
|
| Would you take PrEP as soon asit becomes available? | 0.08 | −0.05 | 0.09 | 0.02 | −0.09 | − |
|
| Would you take PrEP if it causedmild temporary side effects? | 0.08 | −0.05 |
| 0.10 | −0.02 | −0.07 | 0.08 |
| Would you take PrEP if you hadto pay 500 Baht a month for it? | 0.02 | 0.01 |
|
| −0.08 | − |
|
| Would you take PrEP even if you haveto use condoms? | −0.09 | 0.04 |
| 0.11 | 0.03 | 0.02 | 0.10 |
| Do you think you would use PrEPif needed to be tested regularlyfor HIV/AIDS? | −0.03 | 0.05 | 0.10 | −0.03 | 0.04 | −0.03 | 0.08 |
| Would you want your partner(s)to know that you are taking PrEP? | −0.06 | 0.08 | 0.09 | 0.04 | − | −0.01 |
|
| Would you share PrEP if you onlyhad enough to protect yourselfand was given for free? | − | −0.05 | 0.02 | −0.05 | 0.01 | 0.00 | 0.04 |
| Would you sell PrEP to otherpeople who need it more than you? | − | − | 0.00 | 0.10 | −0.10 | −0.09 | 0.04 |
| How embarrassing would youfind it to take PrEP? | 0.04 | −0.02 | 0.07 | − | 0.11 | −0.03 | −0.06 |
| How anxious does the thoughtof taking PrEP make you feel? | − | −0.08 |
| −0.10 | 0.01 | − | −0.09 |
| How much hope does PrEPgive you? | 0.02 | −0.08 |
|
| −0.12 | −0.07 | 0.04 |
Correlation is significant at the 0.01 level (2-tailed).
Correlation is significant at the 0.05 level (2-tailed).
Differences between participants’ characteristics and likelihood of PrEP use.
| City of residence | Experience taking regular medication | HIV testing | Transactional sex at present | |||||||||||||
| MD | MD | MD | MD | MD | MD | MD | MD | |||||||||
| B | C |
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| Yes | No |
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| Yes | No |
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| Yes | No |
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| |
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| 3 | 3 | 7815 | 0.07 | 3 | 3 | 693 |
| 3 | 3 | 7511 | 0.08 | 4 | 3 | 3103 | 0.08 |
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| 3 | 3 | 5639 |
| 3.5 | 3 | 463 | 0.09 | 3 | 3 | 6051 | 0.06 | 3 | 3 | 2482 | 0.09 |
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| 3 | 3 | 7879 | 0.07 | 4 | 3 | 1194 | 0.02 | 3 | 3 | 7643 | 0.06 | 3 | 3 | 3061 | 0.09 |
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| 4 | 4 | 7382 |
| 4 | 4 | 1114 | 0.04 | 4 | 4 | 8098 | 0.01 | 4 | 4 | 3091 | 0.08 |
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| 4 | 4 | 8227 | 0.03 | 4 | 3.5 | 1042 | 0.06 | 4 | 4 | 8075 | 0.01 | 4 | 4 | 2926 | 0.11 |
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| 3 | 3 | 8231 | 0.02 | 3.5 | 3 | 908 | 0.10 | 3 | 3 | 7605 | 0.07 | 4 | 3 | 2527 |
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| 3 | 3 | 8376 | 0.01 | 3 | 3 | 1063 | 0.05 | 3 | 3 | 7979 | 0.02 | 3 | 3 | 3309 | 0.04 |
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| 2 | 1 | 7149 |
| 1 | 2 | 903 | 0.03 | 2 | 2 | 7411 | 0.09 | 3 | 2 | 2508 |
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| 4 | 4 | 8019 | 0.05 | 4.5 | 4 | 1035 |
| 4 | 4 | 7263 | 0.10 | 4 | 4 | 2917 | 0.11 |
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| 1 | 1 | 8385 | 0.01 | 1 | 1 | 1059 | 0.07 | 1 | 1 | 7751 | 0.06 | 1 | 1 | 3491 | 0.01 |
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| 2 | 2 | 8417 | 0.00 | 2.5 | 2 | 1091 | 0.04 | 2 | 2 | 7421 | 0.08 | 2 | 2 | 3102 | 0.07 |
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| 3 | 3 | 8360 | 0.01 | 4 | 3 | 1017 | 0.07 | 3 | 3 | 8179 | 0.00 | 4 | 3 | 2986 | 0.10 |
Difference is significant at the 0.01 level (2-tailed). *Correlation is significant at the 0.05 level (2-tailed).
MD: median. U: Mann Whitney’s U-statistic. r: effect size estimate (r = Z/√N; N = number of observations). B: Bangkok; C: Chiang Mai.
Figure 1Relative importance of PrEP attributes and marginal utilities* of attributes’ levels.
.3, −.3 is the Point Estimate of Alpha interval. *Conjoint analysis decomposes participants’ ranking of each scenario into the sum of contributions of the different PrEP attributes. Marginal utilities are the part-worth of a specific attribute in participants’ ranking of the scenarios. In other words, marginal utilities signify the extent to which a specific attribute contributes to the ranking of a scenario.