tl %
100
90
80
70
60
50
40
30
20
10
0
76
81.2
71.7
56.6
56.1
57.1
17.5
18
17
Shared
for guests
MDDP
MDNH
because of acquaintance with husband/lover
Chart 3.9. Rate of regular condom use in 2005-2006
Figure 3.9 shows that the rate of female sex workers in Hanoi who regularly use condoms with strangers is 76%, higher than with regular customers (56.6%) and higher than with husbands/boyfriends (17.5%). The rate of regular condom use with strangers in the BDNH group is higher than that of the BDĐP group (81.2% vs. 71.7%, p= 0.02), the rate of regular condom use with regular customers in the BDNH group is similar to that of the BDĐP group (57.1% vs. 56.1%, p= 0.82). The rate of condom use with husbands/boyfriends in the BDNH and BDĐP groups is similar (17% vs. 18%, p= 0.72, Chi-square test).
3.1.3.5. Drug use behavior
% 30
25
20
15
10
5
0
24.4
18
16.7
11
10.3
4
Already registered
SDMT
Already registered
TCMT
MDDP MDNH General
Figure 3.10. Drug use rate among PWID before intervention
According to chart 3.10, BDNH used drugs less than BDDP (10.3% vs. 24.4%, p=0.0001). The rate of IDU in the BDDP group was higher than that of the BDNH group (16.7% vs. 4%, p=0.0001). Among those who had ever used drugs, up to 61.1% had IDU (in the BDDP group it was 68.7% and in the BDNH group it was 39.1%).
TCMT behavior | Shared (n=55) | BDDP (n=46) | BDNH (n=9) | p* | |||
SL | % | SL | % | SL | % | ||
Share BKT | 27 | 49.1 | 21 | 45.7 | 6 | 66.7 | 0.29 |
Use BKT that someone else has used | 23 | 41.8 | 18 | 39.1 | 5 | 55.6 | 0.46 |
Use clean BKT TCMT times nearest | 50 | 90.9 | 41 | 89.1 | 9 | 100 | - |
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Table 3.11. Drug injection behavior among PWID with IDU
* Fisher Exact test According to table 3.11, the rate of shared condom use among PWUD is quite high: 45.7%
in the BDDP group and 66.7% in the BDNH group. Notably, 41.8% of PNBD used needles that others had used within 1 month before being interviewed. However, the rate of using clean needles (sterilized needles) in the last TCMT was quite high (89.1% of the BDDP group and 100% of the BDNH group). There was no difference between the BDNH and BDDP groups in these behaviors because p>0.05 (Fisher exact test).
3.1.3.6. Association between behaviors and HIV status
Table 3.12. Relationship between age, amount of money received from prostitution, number of customers and HIV infection status of female sex workers in Hanoi in 2005-2006
Features
HIV status | p | ||
(+) | (-) | ||
Average age | 27.7 | 28.4 | 0.37 |
Average time in practice (years) | 4.8 | 4.0 | 0.07 |
Age of starting prostitution | 22.9 | 24.5 | 0.03 |
Age at first sexual intercourse | 19.0 | 19.5 | 0.12 |
Amount received for 1 sexual intercourse | 116,000 | 143,000 | 0.16 |
Amount received for 1 overnight stay | 320,000 | 359,000 | 0.12 |
Average number of customers in the past month | 21.2 | 21.8 | 0.84 |
Table 3.12 shows that age, duration of prostitution, age of initiation of sexual intercourse, amount of money received from prostitution and number of clients were not related to HIV status (p>0.05). However, the HIV-infected group started prostitution earlier (at 22.9 years old) than the HIV-uninfected group (at 24.5 years old) in a significant way (p=0.03).
Table 3.13. Relationship between characteristics of target groups and groups
age, education, marital status and HIV status
Feature
HIV (+) | HIV (-) | OR | 95% CI | p | |||
SL | % | SL | % | ||||
Target group | |||||||
BDDP | 62 | 22.5 | 213 | 77.5 | 2.8 | 1.7 – 4.8 | 0.0001 |
BDNH | 21 | 9.4 | 203 | 90.6 | 1 | ||
Age group | |||||||
≤ 20 | 6 | 12.8 | 41 | 87.2 | 1 | ||
21-30 | 50 | 16.9 | 245 | 83.1 | 1.4 | 0.6 – 3.5 | 0.47 |
≥ 31 | 27 | 17.2 | 130 | 82.8 | 1.4 | 0.6 – 3.7 | 0.47 |
Education level | |||||||
Illiterate + small | 17 | 15.2 | 95 | 84.8 | 1 | ||
learn | |||||||
Secondary School | 38 | 15.1 | 213 | 84.9 | 0.9 | 0.5 – 1.9 | 0.99 |
High School | 28 | 20.6 | 108 | 79.4 | 1.4 | 0.8 – 2.8 | 0.27 |
Marital status | |||||||
Never ended | 33 | 15.8 | 176 | 84.2 | 1 | ||
kiss | |||||||
Married | 19 | 18.3 | 85 | 81.7 | 1.2 | 0.6 – 2.2 | 0.58 |
Had a husband | 31 | 16.7 | 155 | 83.3 | 1.1 | 0.6 – 1.8 | 0.81 |
According to table 3.13: the BDDP group has a 2.8 times higher risk of HIV infection.
compared with the BDNH group (OR=2.8; 95% CI: 1.7 – 4.8). Age group, education level
marital status and marital status were not risk factors for HIV infection (as the 95% CI contained the value 1).
Table 3.14. Some SDMT behaviors and HIV infection risk among PWID before intervention
HIV (+) | HIV (-) | OR | 95% CI | p | |||
SL | % | SL | % | ||||
Drug use | |||||||
Have | 31 | 34.4 | 59 | 65.6 | 3.6 | 2.1 – 6.1 | 0.0001 |
Are not | 52 | 12.7 | 357 | 87.3 | 1 | ||
Ever TCMT | |||||||
Have | 22 | 40 | 33 | 60 | 4.2 | 2.3 – 7.6 | 0.0001 |
Are not | 61 | 13.7 | 383 | 86.3 | 1 | ||
Use BKT already | |||||||
other people use in | |||||||
1 month ago | |||||||
Have | 13 | 56.5 | 10 | 43.5 | 7.5 | 3.2 – 17.9 | 0.0001 |
Are not | 70 | 14.7 | 406 | 85.3 | 1 | ||
Table 3.14 shows that injecting drug use behavior increases the risk of HIV infection in PWID by 3.6 times (OR = 3.6; 95% CI: 2.1 - 6.1). People who use injecting drugs have a 4.2 times higher risk of HIV infection than those who do not use injecting drugs (OR = 4.2; 95% CI: 2.3 - 7.6). In particular, in the month before the survey, people who have used needles that have been used by others have a 7.5 times higher risk of HIV infection (OR = 7.5; 95% CI: 3.2 - 17.9).
Table 3.15. Clients' sexual health behaviors and HIV infection risk of PWID
HIV (+) | HIV (-) | OR | 95% CI | p | |||
SL | % | SL | % | ||||
Stranger with TCMT | |||||||
Have | 11 | 25.6 | 32 | 74.4 | 2.2 | 1.0 – 4.9 | 0.047 |
Don't know | 31 | 17.2 | 149 | 82.8 | 1.3 | 0.8 – 2.3 | 0.31 |
Are not | 28 | 13.5 | 179 | 86.5 | 1 | ||
Regular customers have TCMT | |||||||
Have | 9 | 23.1 | 30 | 76.9 | 1.6 | 0.7 – 3.7 | 0.23 |
Don't know | 12 | 23.5 | 39 | 76.5 | 1.7 | 0.8 – 3.4 | 0.15 |
Are not | 51 | 15.5 | 2.78 | 84.5 | 1 | ||
Husband/boyfriend has | |||||||
TCMT | |||||||
Have | 15 | 38.5 | 24 | 61.5 | 4.1 | 1.9 – 8.9 | 0.0001 |
Are not | 25 | 13.2 | 165 | 86.8 | 1 | ||
According to table 3.15, the PNBD in the month before the interview had
Strangers to IDUs had a 2.2-fold higher risk of HIV infection (OR = 2.2; 95% CI: 1
– 4.9). Those whose husband/boyfriend had IDU in the past month had a 4.1 times higher risk of HIV infection (OR= 4.1; 95% CI: 1.9 – 8.9). IDU behavior of regular clients was not associated with HIV infection status of FSWs in Hanoi (OR= 1.6; 95% CI: 0.7 – 3.7).
Inadequate basic knowledge about HIV was also not associated with HIV infection status of FSWs (OR=0.7; 95% CI: 0.4 - 1.1).
Table 3.16. Associations between condom use, STI history, and HIV infection
in the pre-intervention PNBD group (n=499)
Characteristic
HIV (+) | HIV (-) | OR | 95% CI | p | |||
SL | % | SL | % | ||||
Use condom with strangers | |||||||
in the past month | |||||||
Frequent | 47 | 14.4 | 280 | 85.6 | 1 | ||
Not often | 23 | 22.3 | 80 | 77.7 | 1.7 | 1.0 – 3.0 | 0.05 |
Use condoms with regular customers | |||||||
in the past month | |||||||
Frequent | 40 | 16.9 | 197 | 83.1 | 1 | ||
Not often | 32 | 17.6 | 150 | 82.4 | 1.1 | 0.6 – 1.8 | 0.85 |
Use condom with husband/friend | |||||||
boys in the past year | |||||||
Frequent | 8 | 19.5 | 33 | 80.5 | 1 | ||
Not often | 32 | 16.6 | 161 | 83.4 | 0.8 | 0.4 – 1.9 | 0.65 |
History of STI infection in | |||||||
last year | |||||||
Have | 49 | 20.0 | 196 | 80.0 | 1.6 | 1.0 – 2.6 | 0.047 |
Are not | 34 | 13.4 | 220 | 86.6 | 1 | ||
Table 3.16 shows that people who did not use condoms regularly when having sex with strangers were 1.7 times more likely to be infected with HIV than those who used them regularly (OR= 1.7; 95% CI: 1.0 – 3.0). People with a history of STIs in the past year were 1.6 times more likely to be infected with HIV (OR= 1.6; 95% CI: 1.0 – 2.6). Condom use with regular clients in the past month or with a husband/lover in the past year was not associated with HIV infection.
Table 3.17. Multivariate analysis of factors increasing the risk of HIV infection
in the group of PNBD in Hanoi in 2005 - 2006.
Risk factors
OR | 95% CI | p | |
BDDP group vs BDNH | 3.5 | 1 – 12.7 | 0.05 |
With SDMT vs. without SDMT | 5.2 | 0.2 – 149.4 | 0.33 |
With TCMT vs. without TCMT | 0.1 | 0.01 – 3.0 | 0.15 |
Using someone else's BKT in the past month vs. not using someone else's BKT | 87.8 | 2.8 – 2770.3 | 0.01 |
Strangers with TCMT vs. Strangers no TCMT | 0.9 | 0.3 – 3.9 | 0.98 |
Husband/boyfriend with IDU vs. husband/boyfriend without IDU | 1.6 | 0.5 – 5.5 | 0.47 |
Use condoms regularly with strangers vs. non-regular use | 0.3 | 0.1 – 0.9 | 0.04 |
History of STI infection within the past year vs. no history of STI infection | 3.3 | 0.9 – 11.7 | 0.06 |
Age of starting prostitution | 0.9 | 0.8 – 1.1 | 0.4 |
After univariate analysis, the risk factors were entered into a multivariate logistic regression model to find the true risk factors. Table 3.17 shows that only 3 factors remained independently associated with HIV infection. The BDDP group had a 3.5 times higher risk of HIV infection than the BDNH group (OR= 3.5; 95% CI: 1 – 12.7). People who used needles that had been used by others had an 87.8 times higher risk of HIV infection than others (OR= 87.8; 95% CI: 2.8 – 2770.3). People who always used condoms when having sex with strangers





