| Literature DB >> 35785472 |
Leila E Mansoor1, Lara Lewis1, Cherise L Naicker1, Ishana Harkoo1, Halima Dawood1, Kalendri Naidoo1, Tanuja N Gengiah1, Natasha Samsunder1, Ivana Beesham2, Salim S Abdool Karim1,3, Quarraisha Abdool Karim1,3.
Abstract
INTRODUCTION: Oral tenofovir disoproxil fumarate/emtricitabine pre-exposure prophylaxis (PrEP), introduced into South Africa (SA) in 2016, has increasingly become part of HIV prevention standard of care. Given the urgent need for increased HIV prevention efforts for young women in SA, we conducted an implementation study to explore oral PrEP initiation and adherence, and the impact of oral PrEP on HIV incidence in this group.Entities:
Keywords: HIV incidence; PrEP adherence; PrEP initiation; comprehensive HIV prevention package; implementation study; oral pre-exposure prophylaxis (PrEP)
Mesh:
Substances:
Year: 2022 PMID: 35785472 PMCID: PMC9251857 DOI: 10.1002/jia2.25957
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 6.707
Figure 1Consort diagram: screening, enrolment and follow‐up of CAPRISA 082 participants.
Baseline characteristics of CAPRISA 082 participants stratified by site and PrEP initiation
| Urban | Rural | |||||||
|---|---|---|---|---|---|---|---|---|
| Total % ( | Total % ( | Initiated PrEP % ( | RR of PrEP initiation (95% CI) | Total % ( | Initiated PrEP % ( | RR of PrEP initiation (95% CI) | ||
| Overall | 100 (425) | 100 (166) | 35.5 (59) | – | 100 (259) | 78.4 (203) | – | |
| Age | 18–24 | 67.3 (286) | 75.9 (126) | 35.7 (45) | 1.02 (0.63–1.65) | 61.8 (160) | 75.6 (121) | 0.91 (0.81–1.04) |
| 25–30 | 32.7 (139) | 24.1 (40) | 35 (14) | 1.00 | 38.2 (99) | 82.8 (82) | 1.00 | |
| Education | Less than secondary | 31.1 (132) | 19.3 (32) | 31.3 (10) | 0.85 (0.49–1.50) | 38.6 (100) | 79 (79) | 1.01 (0.89–1.15) |
| Secondary or higher | 68.9 (293) | 80.7 (134) | 36.6 (49) | 1.00 | 61.4 (159) | 78 (124) | 1.00 | |
| Employment | Yes | 5.9 (25) | 2.5 (4) | 0 (0) | – | 8.1 (21) | 81 (17) | 1.04 (0.83–1.29) |
| No | 94.1 (396) | 97.5 (158) | 36.7 (58) | – | 91.9 (238) | 78.2 (186) | 1.00 | |
| Stable partner | Yes | 94.4 (401) | 91.6 (152) | 34.9 (53) | 0.81 (0.43–1.55) | 96.1 (249) | 78.3 (195) | 0.98 (0.71–1.34) |
| No | 5.6 (24) | 8.4 (14) | 42.9 (6) | 1.00 | 3.9 (10) | 80 (8) | 1.00 | |
| Married | Yes | 1.9 (8) | 0.6 (1) | 0 (0) | – | 2.7 (7) | 100 (7) | 1.29 (1.20–1.37) |
| No | 98.1 (417) | 99.4 (165) | 35.8 (59) | – | 97.3 (252) | 77.8 (196) | 1.00 | |
| Casual partner | Yes | 5.2 (22) | 8.4 (14) | 57.1 (8) | 1.70 (1.03–2.82) | 3.1 (8) | 75 (6) | 0.96 (0.64–1.43) |
| No | 94.8 (403) | 91.6 (152) | 33.6 (51) | 1.00 | 96.9 (251) | 78.5 (197) | 1.00 | |
| Partner age difference | Partner <5 years older or partner younger | 73.1 (307) | 74.2 (121) | 35.5 (43) | 1.00 | 72.4 (186) | 80.1 (149) | 1.00 |
| Partner 5–10 years older | 23.3 (98) | 22.1 (36) | 30.6 (11) | 0.86 (0.50–1.49) | 24.1 (62) | 74.2 (46) | 0.93 (0.79–1.09) | |
| Partner >10 years older | 3.6 (15) | 3.7 (6) | 83.3 (5) | 2.34 (1.52–3.61) | 3.5 (9) | 77.8 (7) | 0.97 (0.68–1.39) | |
| Partner HIV positive | Yes | 2.9 (12) | 2.5 (4) | 0 (0) | – | 3.1 (8) | 100 (8) | 1.27 (1.18–1.36) |
| No | 75.3 (317) | 80.9 (131) | 37.4 (49) | 1.00 | 71.8 (186) | 79 (147) | 1.00 | |
| Don't know | 21.9 (92) | 16.7 (27) | 37 (10) | 0.99 (0.58–1.70) | 25.1 (65) | 73.8 (48) | 0.93 (0.79–1.10) | |
| Partner circumcised | Yes | 57.6 (242) | 65.2 (105) | 38.1 (40) | 1.00 | 52.9 (137) | 78.8 (108) | 1.00 |
| No | 36.4 (153) | 32.3 (52) | 30.8 (16) | 0.81 (0.50–1.30) | 39 (101) | 76.2 (77) | 0.97 (0.84–1.11) | |
| Don't know | 6 (25) | 2.5 (4) | 75 (3) | 1.97 (1.06–3.65) | 8.1 (21) | 85.7 (18) | 1.09 (0.89–1.32) | |
| Partner migrant worker | Yes | 20.6 (64) | 4 (5) | 40 (2) | 1.22 (0.40–3.68) | 31.7 (59) | 74.6 (44) | 0.95 (0.80–1.13) |
| No | 79.4 (246) | 96 (119) | 32.8 (39) | 1.00 | 68.3 (127) | 78.7 (100) | 1.00 | |
| Age of sexual debut | <18 | 38.8 (163) | 39.8 (66) | 34.8 (23) | 0.97 (0.64–1.47) | 38.2 (97) | 75.3 (73) | 0.95 (0.82–1.09) |
| > = 18 | 61.2 (257) | 60.2 (100) | 36 (36) | 1.00 | 61.8 (157) | 79.6 (125) | 1.00 | |
| Lifetime # sexual partners | 1 partner | 29.4 (124) | 22.9 (38) | 23.7 (9) | 1.00 | 33.6 (86) | 77.9 (67) | 1.00 |
| 2 partners | 31.8 (134) | 26.5 (44) | 34.1 (15) | 1.44 (0.71–2.91) | 35.2 (90) | 75.6 (68) | 0.97 (0.82–1.14) | |
| 3+ partners | 38.9 (164) | 50.6 (84) | 41.7 (35) | 1.76 (0.94–3.28) | 31.3 (80) | 83.8 (67) | 1.07 (0.93–1.25) | |
| Male/female condom use | Sometimes/always | 78 (329) | 91.5 (151) | 35.1 (53) | 0.82 (0.43–1.56) | 69.3 (178) | 78.1 (139) | 0.98 (0.85–1.12) |
| Never | 22 (93) | 8.5 (14) | 42.9 (6) | 1.00 | 30.7 (79) | 79.7 (63) | 1.00 | |
| Perceived risk of HIV | No/low risk | 42 (178) | 53.3 (88) | 30.7 (27) | 1.00 | 34.7 (90) | 80 (72) | 1.00 |
| Some/high risk | 58 (246) | 46.7 (77) | 40.3 (31) | 1.31 (0.87–1.99) | 65.3 (169) | 77.5 (131) | 0.97 (0.85–1.10) | |
| Are you on a non‐barrier contraceptive | Yes | 67.5 (286) | 66.9 (111) | 37.8 (42) | 1.22 (0.77–1.94) | 67.8 (175) | 77.7 (136) | 0.98 (0.85–1.12) |
| No | 32.5 (138) | 33.1 (55) | 30.9 (17) | 1.00 | 32.2 (83) | 79.5 (66) | 1.00 | |
| Ever used contraceptive pill | Yes | 15.8 (67) | 17.6 (29) | 27.6 (8) | 0.75 (0.40–1.41) | 14.7 (38) | 92.1 (35) | 1.21 (1.08–1.36) |
| No | 84.2 (357) | 82.4 (136) | 36.8 (50) | 1.00 | 85.3 (221) | 76 (168) | 1.00 | |
| Bacterial vaginosis | Present | 56.4 (232) | 54.5 (90) | 32.2 (29) | 0.81 (0.54–1.21) | 57.7 (142) | 78.9 (112) | 1.00 (0.88–1.14) |
| Absent | 43.6 (179) | 45.5 (75) | 40.0 (30) | 1.00 | 42.3 (104) | 78.9 (82) | 1.00 | |
| STI detected | Yes | 22.4 (93) | 16.3 (27) | 33.3 (9) | 0.93 (0.52–1.65) | 26.5 (66) | 78.8 (52) | 1.01 (0.87–1.17) |
| No | 77.6 (322) | 83.7 (139) | 36 (50) | 1.00 | 73.5 (183) | 78.1 (143) | 1.00 | |
| Time of PrEP initiation | At enrolment | 84.0 (220) | 55.9 (33) | 92.1 (187) | ||||
| After enrolment | 16.0 (42) | 44.1 (26) | 7.9 (16) | |||||
Migrant worker is a person who moves to another country or area in order to find employment. One hundred and fifteen participants did not respond to this question.
Fourteen results bacterial vaginosis tests not done.
STIs comprised trichomoniasis, chlamydia and gonorrhoea. Ten missing STI results.
p‐value<0.05.
Reasons for CAPRISA 082 participants not initiating PrEP during follow‐up, stratified by site
| Reason | All sites | Urban | Rural | |||
|---|---|---|---|---|---|---|
| ( | ( | ( | ||||
| Not interested/willing to take PrEP | 63 | 39% | 9 | 8% | 54 | 96% |
| Likely to forget to take pills | 56 | 34% | 54 | 50% | 2 | 4% |
| Do not like taking tablets | 53 | 33% | 47 | 44% | 6 | 11% |
| Not ready to initiate yet | 49 | 30% | 46 | 43% | 3 | 5% |
| Concerned about adherence | 30 | 18% | 30 | 28% | 0 | 0% |
| Concerned about side effects | 28 | 17% | 25 | 23% | 3 | 5% |
| Self‐perceived no HIV risk | 20 | 12% | 10 | 9% | 10 | 18% |
| Other reason not initiated | 18 | 11% | 14 | 13% | 4 | 7% |
| Ineligible for PrEP | 17 | 10% | 5 | 5% | 12 | 21% |
| Breastfeeding | 15 | 9% | 0 | 0% | 15 | 27% |
| Concerned about objection family | 10 | 6% | 10 | 9% | 0 | 0% |
| Risk of developing resistance | 2 | 1% | 2 | 2% | 0 | 0% |
Participants were asked to provide reasons at each visit that they did not initiate PrEP and could cite more than one reason for not initiating PrEP.
Included participants who were awaiting confirmatory HIV tests, those using traditional medicine and those with deranged LFT.
Figure 2Time (days) to stopping PrEP use among CAPRISA 082 participants who initiated PrEP.
Figure 3Adherence to PrEP measured by tenofovir‐DP levels seen among a subset of CAPRISA 082 participants.