| Literature DB >> 22891807 |
Alicia Vera1, Daniela Abramovitz, Remedios Lozada, Gustavo Martinez, M Gudelia Rangel, Hugo Staines, Thomas L Patterson, Steffanie A Strathdee.
Abstract
BACKGROUND: Female sex workers who inject drugs (FSW-IDUs) are at risk of acquiring HIV, sexually transmitted infections (STI) and blood-borne infections through unprotected sex and sharing injection equipment. We conducted a 2×2 factorial randomized controlled trial to evaluate combination interventions to simultaneously reduce sexual and injection risks among FSW-IDUs in Tijuana and Ciudad Juarez, Mexico. METHODS/Entities:
Mesh:
Year: 2012 PMID: 22891807 PMCID: PMC3490986 DOI: 10.1186/1471-2458-12-653
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Design of 2×2 factorial trial to simultaneously evaluate injection and sexual risk reduction interventions.
Figure 2“CONSORT diagram for participants screened, enrolled, randomized and analyzed in Mujer Mas Segura”.
Reasons for not meeting inclusion criteria for the Mujer Mas Segura study, n = 487
| Did not share needles/syringes/injection paraphernalia in the past month | 62(32%)* |
| Did not have unprotected sex with clients in the past month | 311 (64%) |
| Did not inject drugs in the past month | 293 (60%) |
| Did not exchange sex for money/drugs/shelter/goods in the past month | 219 (45%) |
| HIV-positive | 34 (7%) |
| Plans to move in the next 18 months | 63 (13%) |
| Age <18 | 6 (1%) |
| Started sex work < a month ago | 3(0.6%) |
†Numbers do not add to 100% because women could be disqualified for more than one reason; *among those who injected in the past month (n = 194).
Descriptive statistics of Mujer Mas Segura participants by intervention group at baseline (n = 584)
| Age (years) | 33(27,42) | 32(27,40) | 34(29,40) | 34(28,40) | 33(27,40) | .55 |
| # of years of education completed | 7(5,9) | 6(5,9) | 6(5,9) | 6(6,9) | 6(5,9) | .94 |
| Speaks English | 45(31.3%) | 43(29.5%) | 31(20.9%) | 38(26.0%) | 157(26.9%) | .20 |
| Has a spouse or steady partner | 57(39.6%) | 54(37.0%) | 48(32.4%) | 66(45.2%) | 225(38.5%) | .15 |
| Earns average of > = 350 USD** | 63(43.8%) | 75(51.7%) | 69(47.6%) | 69(47.3%) | 276(47.6%) | .60 |
| # years lived in the city of interview | 22(9,31) | 21(10,29) | 23(10,33) | 23(12,34) | 22(10,33) | .43 |
| Age when first injected drugs | 21(17,27) | 19(17,24) | 19(16,27) | 20(18,24) | 20(17,26) | .45 |
| Injected > = once per day** | 137(95.1%) | 140(95.9%) | 135(91.2%) | 137(93.8%) | 549(94.0%) | .35 |
| Obtained syringes from needle exchange** | 7(4.9%) | 14(9.6%) | 19(12.8%) | 20(13.8%) | 60(10.3%) | .05 |
| Syringe confiscated by police in exchange for not being arrested** | 41(28.5%) | 39(26.9%) | 43(29.3%) | 40(27.4%) | 163(28.0%) | .97 |
| Often/always injected drugs with a client** | 46(31.9%) | 41(28.3%) | 44(29.7%) | 55(37.7%) | 186(31.9%) | .33 |
| Receptive needle sharing** | 140(97.2%) | 140(95.9%) | 143(96.6%) | 138(95.2%) | 561(96.2%) | .81 |
| Divided drugs with used syringe** | 101(70.6%) | 111(76.6%) | 104(70.7%) | 84(57.5%) | 400(68.8%) | .00 |
| Used a cooker after someone else had used it** | 138(96.5%) | 140(95.9%) | 144(97.3%) | 139(95.9%) | 561(96.4%) | .90 |
| Used a cotton filter after someone else had used it** | 128(88.9%) | 127(87.0%) | 130(87.8%) | 128(88.3%) | 513(88.0%) | .97 |
| Sharing rinse water | 137(95.8%) | 138(94.5%) | 139(94.6%) | 135(93.1%) | 549(94.5%) | .80 |
| Injection Risk Index Score*** | 3.4( 2.4,4.2) | 3.6( 2.4,4.2) | 3.6( 2.4,4.0) | 3.6( 2.4,4.2) | 3.6( 2.4,4.2) | .70 |
| Self-efficacy score for safer drug injection | 2.0( 1.8,2.5) | 2.1( 2.0,2.7) | 2.0( 1.8,2.6) | 2.0( 2.0,2.7) | 2.0( 1.8,2.7) | .67 |
| Age when began to work regularly as a FSW | 19(15,25) | 19(16,25) | 19(16,24) | 20(17,25) | 19(16,25) | .22 |
| # Unprotected vaginal/anal sex acts with spouse/steady partner** | 8(1,30) | 12(4,30) | 12(4,30) | 8(3,26) | 9(3,30) | .53 |
| Income earned from sex (USD)** | 885 (286,1883) | 975 (440,1740) | 1050 (450,1660) | 906 (420,1860) | 960 (420,1800) | .97 |
| # male clients** | 28(10,80) | 30(10,84) | 38(11,76) | 31(14,74) | 30(10,80) | .81 |
| # vaginal/anal sex acts with clients** | 49(15,109) | 57(20,96) | 52(20,111) | 50(21,100) | 51(20,101) | .94 |
| # unprotected vaginal or anal sex acts with clients** | 27(6,60) | 30(12,57) | 33(8,63) | 30(8,58) | 30(9,60) | .86 |
| Self-efficacy for condom use score | 3.0( 2.4,3.0) | 3.0( 2.6,3.0) | 3.0( 2.6,3.0) | 3.0( 2.8,3.0) | 3.0( 2.6,3.0) | .17 |
| Amount earned per vaginal sex act without condom (USD) | 20(13,30) | 20(15,30) | 20(10,30) | 20(15,30) | 20(15,30) | .95 |
| Arrested in the past 6 months | 68(47.2%) | 69(47.6%) | 64(43.5%) | 61(42.1%) | 262(45.1%) | .73 |
| Ever had an HIV test | 74(51.4%) | 76(52.1%) | 76(51.4%) | 66(45.5%) | 292(50.1%) | .65 |
| Has seen more access to condoms* | 38(26.8%) | 40(28.6%) | 44(30.8%) | 43(30.1%) | 165(29.0%) | .88 |
| Has seen more access to sterile syringes* | 34(23.9%) | 36(25.5%) | 42(29.6%) | 52(36.1%) | 164(28.8%) | .10 |
| Reports ‘easy access’ to sterile syringes | 105(75.5%) | 117(81.8) | 116(81.1) | 110(78.0) | 448(79.2%) | .54 |
| Tested positive for syphilis | 35(24.5%) | 36(25.0%) | 37(25.3%) | 34(23.4%) | 142(24.6%) | .98 |
| Syphilis titers > =1:8, among lifetime syphilis cases | 10(28.6%) | 16(43.2%) | 11(29.7%) | 12(35.3%) | 49(34.3%) | .54 |
| Tested positive for gonorrhea | 6(4.2%) | 4(2.7%) | 1(0.7%) | 2(1.4%) | 13(2.2%) | .19 |
| Tested positive for Chlamydia | 19(13.2%) | 22(15.1%) | 10( 6.8%) | 19(13.0%) | 70(12.0%) | .14 |
| Tested positive for trichomonas | 40(27.8%) | 50(34.2%) | 57(38.5%) | 49(33.6%) | 196(33.6%) | .28 |
| Tested positive for bacterial vaginosis | 60(41.7%) | 61(41.8%) | 62(41.9%) | 45(30.8%) | 228(39.0%) | .14 |
*past year; **past month;
*** Calculated based on methods used in the DUIT intervention [38], comprised of the following: receptive needle sharing, sharing a cooker, cotton filter, or rinse water to prepare drugs for injection after someone else had used it, and using a used syringe to divide drugs. The score was constructed by calculating the average between the responses to these five injection risk indicators (1 = never, 2 = sometimes, 3 = about half the time, 4 = often, and 5 = always), with higher scores representing higher risk.
**** Numbers associated with the continuous variables represent Medians and Interquartile Ranges.
Descriptive statistics of Mujer Mas Segura participants by location: Tijuana (n = 284) versus Ciudad Juarez (n = 300)
| Age (years) | 34(28,41) | 33(27,39) | 33(27,40) | .11 |
| # of years of education completed | 8(6,10) | 6(4,8) | 6(5,9) | <.001 |
| Speaks English | 118(41.5%) | 39(13.0%) | 157(26.9%) | <.001 |
| Has a spouse or steady partner | 107(37.7%) | 118(39.3%) | 225(38.5%) | .68 |
| Earns average of > = 350 USD** | 96(34.3%) | 180(60.0%) | 276(47.6%) | <.001 |
| # years lived in the city of interview | 16(8,29) | 26(18,34) | 22(10,33) | <.001 |
| Age when first injected drugs | 20(17,24) | 20(17,27) | 20(17,26) | .47 |
| Injected > = once per day** | 275(96.8%) | 274(91.3%) | 549(94.0%) | .005 |
| Obtained syringes from needle exchange** | 26(9.2%) | 34(11.3%) | 60(10.3%) | .39 |
| Syringe confiscated by police in exchange for not being arrested** | 78(27.7%) | 85(28.3%) | 163(28.0%) | .86 |
| Often/always injected drugs with a client** | 134(47.3%) | 52(17.3%) | 186(31.9%) | <.001 |
| Receptive needle sharing** | 271(95.8%) | 290(96.7%) | 561(96.2%) | .57 |
| Divided drugs with used syringe** | 178(63.3%) | 222(74.0%) | 400(68.8%) | .006 |
| Used a cooker after someone else had used it** | 274(97.2%) | 287(95.7%) | 561(96.4%) | .33 |
| Used a cotton filter after someone else had used it** | 256(90.5%) | 257(85.7%) | 513(88.0%) | .08 |
| Shared rinse water | 266(94.7%) | 283(94.3%) | 549(94.5%) | .86 |
| Injection Risk Index Score | 3.6(2.4,4.2) | 3.2(2.4,4.0) | 3.6(2.4,4.2) | .00 |
| Self-efficacy score for safer drug injection | 2.0(2.0,2.8) | 2.0(1.8,2.7) | 2.0(1.8,2.7) | <.001 |
| Age when began to work regularly as a FSW | 20(17,25) | 19(16,25) | 19(16,25) | .02 |
| # Unprotected vaginal/anal sex acts with spouse/steady partner** | 9(2,30) | 10(4,30) | 9(3,30) | .42 |
| Income earned from sex (USD)** | 770( 305,1500) | 1140( 540,1896) | 960( 420,1800) | <.001 |
| # male clients** | 15(6,30) | 68(30,104) | 30(10,80) | <.001 |
| # vaginal/anal sex acts with clients** | 34(12,60) | 84(40,127) | 51(20,101) | <.001 |
| # unprotected vaginal or anal sex acts with clients** | 25(5,56) | 33(12,65) | 30(9,60) | <.001 |
| Self-efficacy for condom use score | 3.0( 2.6,3.0) | 3.0( 2.6,3.0) | 3.0( 2.6,3.0) | .82 |
| Amount earned per vaginal sex act without condom (USD) | 25(20,35) | 15(10,20) | 20(15,30) | <.001 |
| Arrested in the past 6 months | 115(40.9%) | 147(49.0%) | 262(45.1%) | .05 |
| Ever had an HIV test | 144(50.9%) | 148(49.3%) | 292(50.1%) | .71 |
| Has seen more access to condoms* | 113(42.2%) | 52(17.3%) | 165(29.0%) | <.001 |
| Has seen more access to sterile syringes* | 116(43.0%) | 48(16.1%) | 164(28.8%) | <.001 |
| Reports ‘easy access’ to sterile syringes | 238(88.5%) | 210(70.7%) | 448(79.2%) | <.001 |
| Tested positive for syphilis | 46(16.2%) | 96(32.7%) | 142(24.6%) | <.001 |
| Syphilis titers > =1:8, among lifetime syphilis cases | 23(50.0%) | 26(26.8%) | 49(34.3%) | .006 |
| Tested positive for gonorrhea | 5(1.8%) | 8(2.7%) | 13(2.2%) | .46 |
| Tested positive for Chlamydia | 28(9.9%) | 42(14.0%) | 70(12.0%) | .12 |
| Tested positive for trichomonas | 102(35.9%) | 94(31.3%) | 196(33.6%) | .24 |
| Tested positive for bacterial vaginosis | 70(24.6%) | 158(52.7%) | 228(39.0%) | <.001 |
*past year; **past month.
*** Calculated based on methods used in the DUIT intervention [38], comprised of the following: receptive needle sharing, sharing a cooker, cotton filter, or rinse water to prepare drugs for injection after someone else had used it, and using a used syringe to divide drugs. The score was constructed by calculating the average between the responses to these five injection risk indicators (1 = never, 2 = sometimes, 3 = about half the time, 4 = often, and 5 = always), with higher scores representing higher risk.
**** Numbers associated with the continuous variables represent Medians and Interquartile Ranges.