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. 2023 Jun 23;18(6):e0287525. doi: 10.1371/journal.pone.0287525

Baseline preferences for oral pre-exposure prophylaxis (PrEP) or dapivirine intravaginal ring for HIV prevention among adolescent girls and young women in South Africa, Uganda and Zimbabwe (MTN-034/IPM-045 study)

Kenneth Ngure 1,2,*, Barbara A Friedland 3, Daniel W Szydlo 4, Sarah T Roberts 5, Morgan Garcia 6, Lisa Levy 6, Carolyne A Akello 7, Krishnaveni Reddy 8, Thesla Palanee-Phillips 8, Pippa Macdonald 8, Bekezela Siziba 9, Lydia Soto-Torres 10, Sybil Hosek 11, Sharon L Hillier 12, Gonasagrie Nair 13, Connie Celum 2,14,15, Ariane van der Straten 16,17
Editor: Joel Msafiri Francis18
PMCID: PMC10289422  PMID: 37352296

Abstract

Introduction

Adolescent girls and young women (AGYW) in sub-Saharan Africa are disproportionately affected by the HIV epidemic and face an array of challenges using proven behavioral and biomedical prevention methods. To address the urgent need for expanding prevention options, we evaluated the baseline preferences of HIV prevention methods among participants enrolled in the MTN-034/REACH crossover trial along with their stated product preference prior to product initiation.

Methods

AGYW aged 16–21 years were enrolled at 4 study sites: Cape Town and Johannesburg, South Africa; Kampala, Uganda; and Harare, Zimbabwe and randomly assigned to the sequence of using oral PrEP and the dapivirine ring for 6 months each, followed by a choice period in which they could choose either product (or neither) for an additional six months. Eligible AGYW were HIV-negative, not pregnant and using effective contraception for at least two months prior to enrollment. Descriptive statistics were used to summarize demographic and behavioral data while multinomial analysis was used to determine predictors of stated product preference (ring or oral PrEP).

Results

Of the 247 AGYW enrolled in REACH, 34% were aged 16–17 and 89% had a primary partner.The median age of sexual debut was 16 years and 40% had ever been pregnant. At screening, 35% of participants were diagnosed with a sexually transmitted infection (STI), 39% had an AUDIT-C score associated with harmful drinking and 11% reported intimate partner violence in the past 6 months. Overall, 28% of participants, had CESD-10 scores suggestive of depressive symptoms (≥12) in the past week. At baseline, similar proportions stated a preference for the ring and oral PrEP (38.1% and 40.5% respectively), with 19% of participants stating they preferred both products equally. Only study site was significantly associated with product preference (P<0.05) with AGYW from Johannesburg having higher odds of preferring the ring and those from Kampala having higher odds of preferring both options equally.

Conclusions

We successfully enrolled African AGYW with a clear unmet need for HIV prevention. The balanced preference between the two products suggests that multiple biomedical prevention options may be appealing to this age group and could address their prevention needs.

Introduction

In sub-Saharan Africa, adolescent girls, and young women (AGYW) aged 15–24 years old are disproportionately affected by the HIV epidemic, with the majority of new infections in 15–19-year-olds occurring among females [1]. HIV continues to be the leading cause of death among 10–19-year-olds in Africa and the second most common cause of death among adolescents globally [2]. An array of factors contribute to AGYW’s HIV risk, including lack of awareness regarding safe sexual practices, inability to negotiate male condom use, biological development, and lack of psychosexual maturation [3, 4]. These factors impede AGYW’s use of proven behavioral and biomedical HIV prevention methods and highlight the urgent need to expand options available to young African women.

Truvada® (emtricitabine [FTC] and tenofovir disoproxil fumarate [TDF]) used once daily for oral pre-exposure prophylaxis (PrEP) has been a cornerstone of HIV prevention efforts since its approval by the US Food and Drug Administration (FDA) in 2012 [5]. The World Health Organization (WHO) recommended offering oral PrEP to select key populations at high risk of HIV acquisition in 2014 [6], and subsequently expanded their recommendations for broader provision based on evidence that itis safe, cost-effective, and highly efficacious in reducing HIV acquisition regardless of age, gender, or mode of transmission [7, 8]. However, challenges with daily pill use and low persistence, especially among AGYW [9, 10] indicate that some young women who could benefit from daily oral PrEP do not choose to or are unable to use it consistently.

A one-month intravaginal ring containing the antiretroviral drug dapivirine (ring) was shown to reduce the risk of HIV-1 acquisition by approximately 30% in two Phase 3 trials among healthy female adults in sub-Saharan Africa [11, 12]. The ring was recently approved by the European Medicines Agency (EMA) and has been recommended by the WHO as a prevention option for women who are unwilling or unable to use oral PrEP [13, 14]. In post-hoc analyses for both studies, greater risk reduction (up to 75%) was observed among participants with higher ring adherence [15]. The ring is a promising alternative to oral PrEP; however, data are needed to determine if the ring can successfully address challenges to oral PrEP adherence. Furthermore, there is a need for more data on how 16–17 year-old AGYW in sub-Saharan Africa will use the ring, since it has not yet been studied in that population.

To that end, the Microbicide Trials Network (MTN) implemented MTN-034/REACH (Reversing the Epidemic in Africa with Choices in HIV Prevention)to evaluate the safety, adherence, acceptability, and preference of the ring versus oral PrEP. Here we report on the baseline characteristics and pre-use product preferences of participants enrolled in the trial

Methods

Study design

REACH was a multi-site, two-arm, randomized, open-label, crossover Phase 2a trial (ClinicalTrials.gov: NCT03593655) that aimed to enroll ˜300 participants across four sites in Africa (Kampala, Uganda; Harare, Zimbabwe; and Cape Town and Johannesburg, South Africa). Participants were randomized (1:1) to one of two sequences of product use: using the ring for 24 weeks and then switching to oral PrEP for a second 24 weeks or using oral PrEP for 24 weeks and then switching to the ring (Fig 1). After completing the crossover period, participants could choose oral PrEP, the ring, or neither to use in 24-week Choice period.

Fig 1. REACH study design and visit schedule.

Fig 1

Study population and baseline testing prior to enrollment

Eligible participants were 16–21 years of age, HIV-negative per rapid test at screening and enrollment, not pregnant at screening or enrollment, using effective contraception for at least two months prior to enrollment (for those not on contraceptive at screening, the study offered effective contraception at screening, encouraging long-acting contraceptives), and healthy based on physical exam, pelvic exam and laboratory testing. Pregnancy and breastfeeding were exclusionary because the ring had not yet been studied in in an African population of this age. There were no other criteria related to sexual behavior or HIV vulnerability.

Recruitment

Participants were recruited from a variety of settings including, but not limited to, adolescent and primary care health clinics, family planning clinics, HIV testing facilities, gynecology clinics, institutions of higher learning, community-based youth centers, schools, and other community locations. Community education strategies, including use of pelvic models to demonstrate ring insertion, an educational video, and other printed materials were shared individually and in group sessions and via social media platforms to inform potential participants and parents/guardians about the study. Although the study was designed to enroll approximately 300 participants, screening and enrollment on all MTN studies was paused on March 28, 2020, due to the COVID-19 pandemic and its impact on research operations. Because the study had reached 82% of its accrual target, the study was not reopened for screening and enrollment. Therefore, a total of 247 were enrolled in the study. It was a requirement that at least a third of enrolled participants were aged 16–17 to provide important safety data in this age group. In Uganda, because recruitment of minors from schools was prohibited by the local IRB, emancipated minors from the community, including school dropouts, were targeted. All recruitment materials were approved by sites’ IRBs/Ethics Committees (ECs) prior to use.

Measures

Mental health conditions, especially depression and alcohol abuse, have been shown to predict PrEP adherence in multiple studies [16]. To explore the connection between mental health and adherence in this population, we assessed participants’ mental health at baseline using several scales administered through audio computer-assisted self-interviewing (ACASI). Participants who reported mental-health related challenges were counseled by study staff or referred to community organizations offering mental health, substance use, gender-based violence, and other services. We used the 10-item Center for Epidemiological Studies–Depression scale (CES-D-10) a short self-report questionnaire to screen for depressive symptoms in the past week [17]. Options for each item, such as “I feel lonely,” ranged from 0 (rarely or none of the time) to 3 (all the time). Total scores range from 0 to 30, with higher scores suggestive of a greater severity of depressive symptoms. Although Andersen determined that a score of 10 was an optimal cut-off for individuals at risk of depression [17], a study validating the CES-D-10 in South Africa determined that slightly higher cut-offs ranging (11,12, and 13 for Afrikaans, Zulu and Xhosa respectively) were more predictive of depressive symptoms in this population [18], leading us to use a score of > = 12 to be indicative of depressive symptoms in our study population.

Alcohol use disorders were assessed using the Alcohol Use Disorders Identification Test (AUDIT-C), a 3-item questionnaire (range 0–12). Higher scores are indicative of more harmful alcohol practices [19]. In women, a score of ≥3 is indicative of an alcohol abuse disorder.

We used an abbreviated version Brief Self-Control Scale (BSCS) [20] to measure level of perceived self-control to explore associations between self-control and adherence. Each of the seven items in the scale, such as “I am good at resisting temptation” are scored from 1 (not at all) to 5 (very much). Total scores range from 7 to 35, with higher scores indicative of higher levels of self-control.

Social support was assessed using the Multidimensional Scale of Perceived Social Support (MSPSS) [21], which has been validated in Uganda [22] and South Africa [23]. Each of the four items in the peer sub-scale (such as “My friends really try to help me”) is scored on a 5-point Likert scale from 1 (Strongly Disagree) to 5 (Strongly Agree). The overall score ranges from 1 to 20, with higher scores indicative of greater peer social support.

Participants were tested for Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (GC) by nucleic acid amplification testing, Trichomonas vaginalis (TV) by rapid test, and syphilis by rapid plasma reagin followed by a treponemal-specific confirmatory assay. AGYW with positive STI test results received treatment and were eligible to enroll once symptoms resolved to ensure they had no genital inflammation before starting ring use.

Data collection and analysis

Baseline demographics and clinical data were collected via interviewer-administered case report forms (CRFs) at both the screening and enrollment visits, while baseline behavioral data were self-reported by participants via audio computer-assisted self-interviewing (ACASI) at enrollment. Medians were used to summarize the mental health scales. We explored significant associations (p < 0.05) between demographic and behavioral characteristics and participants’ baseline product preferences for oral PrEP, the ring, or both products equally using multinomial logistic regression models, with “preference for oral PrEP” as the reference group. The model for site was adjusted for age (16–17-year-olds vs 18–21-year-olds), conversely, the model for age was adjusted for site, and all other models were adjusted for age and site. Analyses were carried out in SAS Version 9.4 (SAS Institute, Cary, NC, USA).

Ethics statement

The study was approved by site Institutional Review Boards/Ethics Committees (IRBs/ECs) prior to use: University of Cape Town Faculty of Health Sciences Human Research Ethics Committee, University of Witwatersrand Human Research Ethics Committee, University of Zimbabwe Joint Research Ethics Committee, Johns Hopkins Medicine Institutional Review Board and the Joint Clinical AIDS Research Center IRB of Uganda. Written informed consent was obtained from adult participants, and from minors who were legally able to consent as per local regulations. Written informed assent and parental/guardian consent was obtained from all other minors, and those who turned 18 during the study subsequently signed the adult informed consent form (ICF). In addition to ICFs, the REACH Protocol Team worked with study staff and community representatives to develop appropriate materials about the study and a standardized approach to implementing the informed assent/consent process at all study sites.

Results

Between February 2019 and March 2020, 247 AGYW were enrolled in REACH. Participants were median age of 18 years (interquartile range [IQR] 17,19) and most (87%) were unmarried, however other background characteristics varied substantially by site (such as self-earned income, who participants lived with, and alcohol use). About one-third (37%) of participants were currently attending either secondary or tertiary schools. The highest level of education attained by participants was secondary school and above (86%), except in Kampala, where approximately one-third of participants had attended secondary school and about half had only attended primary school. The percentage of participants who earned their own income varied considerably by site, from 3% in Cape Town to 52% in Kampala(Table 1).

Table 1. Baseline socio-demographic characteristics of AGYW enrolled in the REACH study (n = 247).

Characteristic SA ‐ Cape Town SA–Johannesburg Uganda–Kampala Zimbabwe–Harare All Sites
Participants Enrolled 60 67 60 60 247
Age (Median [IQR]) 18 (17,19) 18 (17,19) 18 (17,19) 18 (17,19) 18 (17,19)
 Minors (16–17) 18(30.0%) 28(47.0%) 19(28.0%) 20(33.0%) 86(34.0%)
Marital Status
 Single 60 (100.0%) 65(97.0%) 53(88.0%) 36(60.0%) 214(87.0%)
 Married/Cohabiting 0(0%) 2(3.0%) 7(12.0%) 21(35.0%) 30(12.0%)
 Separated or divorced 0(0%) 0(0%) 0(0%) 3(5%) 3(1%)
Currently attending school 33(55.0%) 36(54.0%) 9(15.0%) 14(23.0%) 92(37.0%)
Highest Level of School Attended
 Primary 1(2.0%) 0(0.0%) 28(47.0%) 4(7.0%) 33(13.0%)
 Secondary 55(92.0%) 57(85.0%) 22(37.0%) 55(93.0%) 189(77.0%)
 Higher (e.g., college or university) 4(7.0%) 10(15.0%) 9(15.0%) 0(0.0%) 23(9.0%)
Earns own income 2(3.0%) 6(9.0%) 31(52.0%) 14(23.0%) 53(21.0%)
Has a regular place to store her things 43(71.7%) 60(89.6%) 52(86.7%) 48(80.0%) 203(82.2%)
Who participant lives with
 Alone 0.0 1(2.0%) 6(11.0%) 2(4.0%) 9(4.0%)
 Parents 47 (78.0%) 48 (75.0%) 29 (54.0%) 32 (70.0%) 156 (70.0%)
 Lives with non-parent family members 6 (10.0%) 10 (16.0%) 16 (30.0%) 8 (17.0%) 40 (18.0%)
 Lives with non-family members 7(12.0%) 5(8.0%) 3(6.0%) 4(9.0%) 19(8.0%)
Worry about not getting enough food in the last 30 days
 Never 26(43.3%) 26(38.8%) 31(51.7%) 32(53.3%) 115(46.6%)
 Rarely + sometimes 30(50.0%) 33(49.3%) 21(35.0%) 33(38.3%) 107(43.3%)
 Often (more than 10 times) 4(6.7%) 8(11.9%) 8(13.3%) 5(8.3%) 25(10.1%)
Median age of sexual debut (Min, Max) 16.0 (13, 18) 16.0 (13,19) 15.0 (12,18) 16.0 (13,18) 16.0 (12,19)
Median age of first use of contraception (min, Max) 16.0 (13,19) 17.0 (14,21) 17.5 (15,20) 17.0 (15,20) 17.0 (13,21)
Contraceptive Method at Baseline
 Implants 11(18.3%) 30(44.8%) 37(61.7%) 33(55.0%) 111(44.9%)
 Copper IUD 1(1.7%) 8(11.9%) a 9(15.0%) 9(15.0%) 27(10.9%)
 Injectable contraceptive 48(80.0%) 29 (43.3%) 14(23.3%) 18(30.0%) 109(44.1%)
Ever Pregnant (self-report) 5(8.0%) 21(31.0%) 32(53.0%) 41(68.0%) 99(40.0%)
Caregiver for >1 child 9(15.0%) 22(33.0%) 21(35.0%) 34(57.0%) 86(35.0%)
Diagnosed with STI 28(47.0%) 25(37.0%) 19(32.0%) 15(25.0%) 87(35.0%)
Worry about HIV infection in the Next Year
 Very Worried 22(37.0%) 19(28.0%) 6(10.0%) 24(40.0%) 71(29.0%)
 Somewhat worried 7(12.0%) 8(12.0%) 0(0.0%) 14(23.0%) 29(12.0%)
 A little worried 23(38.0%) 23(34.0%) 10(17.0%) 12(20.0%) 68(28.0%)
 Not at all worried 8(13.0%) 17(25.0%) 44(73.0%) 10(17.0%) 79(32.0%)
CES-D-10 Depression Scale (Median, IQR) 7.0 (5,10) 8.5 (4,13) 9.5 (6,15) 6.0 (5,11) 7.0 (5,12)
Depressive symptoms (CESD> = 12) 9(15.0%) 22b (33.0%) 24(40.0%) 11c (23.0%) 66 d (28.0%)
Positive (AUDIT-C ≥ 3) indicative of hazardous drinking/alcohol abuse disorder 38(63.0%) 31(46.0%) 13(22.0%) 15e (25.0%) 97f (39.0%)
New Brief Self-Control Scale (median, IQR) 27 (24,30) 27 (25,31) 24.5 (22,29) 28 (23,29) 27 (23,30)
Peer Social Support (MSPSS) (Median, IQR) 15 (12,16) 16 (12,16) 14 (12,16) 14.5 (11,16) 15 (12,16)

a Combination of the “copper IUD” (n = 26) and “hormonal IUD” (n = 1)

b Denominator = 66

c Denominator = 47

d Denominator = 233

eDenominator = 59

fDenominator = 246

The median age of sexual debut was 16 (IQR 12,19) which was one year younger than the median age of first contraception use, 17 (IQR 13, 21). By self-report, 40% of participants had previously been pregnant, ranging from 8% in Cape Town to 68% in Harare. By contrast, STI diagnosis at baseline was most prevalent among Cape Town based participants (47%) compared to the other sites (25%-37%).

Overall, 28% of participants, and 40% of participants from Kampala, had CESD-10 scores suggestive of depressive symptoms (≥12) in the past week. Nearly 40% of participants overall, and 63% of participants from Cape Town had a positive score on the AUDIT-C, suggesting a high prevalence of alcohol use disorders in the study cohort. In contrast, moderate levels of self-control (median score of 27 out of 35) and peer social support (median score of 15 out of 20) were reported across sites.

Behavioral characteristics

As shown in Table 2, 89.1% of participants reported having a primary sexual partner. Median age of primary partners was 23 years (IQR 20,25). Approximately 60% of participants had been in their relationship for more than one year and received financial support from their primary partners. The majority of participants reported that their primary partners were HIV-negative (73.6%), while 25% did not know his status and only three women had a partner who they reported was living with HIV. A minority reported that their primary partners were definitely (7.7%) or possibly (15.5%) having sex with other partners. Many participants had experienced verbal (30%) or physical (15%) abuse or forced sex (11%) by an intimate partner, with reports varying substantially by site.

Table 2. Partner/partnership characteristics.

Characteristic SA ‐ Cape Town SA–Johannesburg Uganda–Kampala Zimbabwe–Harare All Sites
Participants Enrolled 60 67 60 60 247
Currently has a primary sexual partner 53(88.3%) 61(91.0%) 54(90.0%) 52(86.7%) 220(89.1%)
Median age of primary sexual partner (IQR) 21 (19,23) 22 (22,24) 23 (20,26) 24 (22,26) 23 (20,25)
Duration of partnership with primary partner
 Less than 3 months 5(9.4%) 3(4.9%) 4(7.4%) 5(9.6%) 17(7.7%)
 3–12 months 22(41.5%) 14(23.0%) 18(33.3%) 14(26.9%) 68(30.9%)
 More than 12 months 26(49.1%) 44(72.1%) 32(59.3%) 32(61.5%) 134(60.9%)
 Skipped by participant 0 (0%) 0(0%) 0(0%) 1(1.9%) 1(0.5%)
Primary sex partner provides financial and/or material support 18(34.0%) 32(52.5%) 44(81.5%) 42(80.8%) 136(61.8%)
HIV status of primary sex partner
 HIV positive 1(1.9%) 1(1.6%) 0 1(1.9%) 3(1.4%)
 HIV negative 34(64.2%) 47(77.0%) 43(79.6%) 38(73.1%) 162(73.6%)
 Don’t know 18(34.0%) 13(21.3%) 11(20.4%) 13(25.0%) 55(25.0%)
Primary sex partner had sex with another partner besides the study participant in the last 3 months
 Knows so 4(7.5%) 4(6.6%) 6(11.1%) 3(5.8%) 17(7.7%)
 Thinks so 6(11.3%) 10(16.4%) 8(14.8%) 10(19.2%) 34(15.5%)
Physical abuse from intimate partner, last 6 months 3(5.0%) 3(4.5%) 11(18.3%) 19(31.7%) 36(14.6%)
Verbal abuse from intimate partner, last 6 months 8(13.3%) 19(28.4%) 20(33.3%) 28(46.7%) 75(30.4%)
Forced sex from intimate partner, last 6 months 0(0%) 4(6.0%) 14(23.3%) 9(15.0%) 27(10.9%)
Forced Sex from non-intimate partner, last 6 months. 1(1.7%) 5(7.5%) 9(15.0%) 2(3.3%) 17(6.9%)
Vaginal sex, past 3 months 50 (83.3%) 64(95.5%) 49(81.7%) 40(69.0%) 203*(82.9%)
Vaginal Sex in the past 30 days
 N 50 64 49 40 203
 Median (IQR) 4(2,5) 3.5 (2,7) 5 (2,8) 4 (1,11) 4 (2,7)
Condom used last vaginal sexual act 31(62.0%) 37(57.8%) 24(49.0%) 21(50.0%) 113(55.1%)
Anal sex in the last 3 months 6(10.0%) 4(6.0%) 6 (10.0%) 3(5.0%) 19(7.7%)
Condom used last act of anal sex 5(83.3%) 3(75.0%) 5(83.3%) 3(100.0%) 16(84.2%)
Number of male sexual partners in the past 3 months (categorical)
 0 5(8.3%) 0(0%) 3(5.0%) 4(6.7%) 12(4.9%) *
 1 36(60.0%) 44(65.7%) 27(45.0%) 39(65.0%) 146(59.1%)
 2+ 19(31.7%) 23(34.3%) 30(50.0%) 17(28.3%) 89(36.0%)
Median number of sexual partners in the past 3 months (IQR) 1(1,2) 1(1,2) 1(1,3) 1(1,2) 1(1,2)
Transactional sex in the past 6 months 7(11.7%) 10(14.9%) 33(55.0%) 16(26.7%) 66(26.7%)

*The numbers are mismatched due to inconsistency in participants’ self-report (If 12 participants had 0 partners, then the total number of participants who had vaginal sex in the last 3 months should be 235)

Overall, 82.2% of participants reported having had sex at least once in the three months preceding screening. Among these participants, vaginal sex occurred four times per month on average (IQR 2,7). Condom use at last sex was reported by a little more than half of participants, with minimal variation by site. Although only 19 participants reported having anal sex in the 3 months prior to screening, 84% of those participants reported having used a condom during the last anal sex act. The majority of participants reported having had only one partner in the three months before screening, whereas 36% reported multiple partners. More than one-quarter of the participants reported engaging in transactional sex, which varied by site from 12% in Cape Town to 55% in Kampala.

Most participants had disclosed their intention to use oral PrEP or the ring during the study to female family members (87.0%), friends (79.4%), and primary partners (60.3%), whereas only 23.9% of participants told male family members about intention to use the products (Table 3). When asked prior to initiation, how much they thought they would like to use each of the products for HIV prevention, 74.1% said they would like or like very much using the ring and 77.7% said they would like or like very much using oral PrEP. Baseline preference was similar for using the ring (38.1%) or oral PrEP (40.5%), with 19% of participants stating they preferred both products equally and only four (1.6%) stated they liked neither.

Table 3. Disclosure and preference for HIV prevention.

Characteristic SA ‐ Cape Town SA–Johannesburg Uganda–Kampala Zimbabwe–Harare All Sites
Participants with Enrollment ACASI 60 67 60 60 247
Disclosed to primary sex partner about intention to use oral PrEP or Ring 36(60.0%) 47(70.1%) 31(51.7%) 35(58.3%) 149(60.3%)
Disclosed to any female family member(s) about intention to use oral PrEP or Ring 55(91.7%) 59(88.1%) 46(76.7%) 55(91.7%) 215(87.0%)
Disclosed to any male family member(s) about intention to use oral PrEP or Ring 18(30.0%) 20(29.9%) 9(15.0%) 12(20.0%) 59(23.9%)
Disclosed to friend(s) about intention to use oral PrEP or Ring 56(93.3%) 54(80.6%) 46(76.7%) 40(66.7%) 196(79.4%)
Prefers to use the Ring or oral PrEP for HIV prevention
 Ring 21(35.0%) 33(49.3%) 21(35.0%) 19(31.7%) 94(38.1%)
 Oral PrEP 27(45.0%) 24(35.8%) 16(26.7%) 33(55.0%) 100(40.5%)
 Either product equally 11(18.3%) 8(11.9%) 23(38.3%) 5(8.3%) 47(19.0%)
 Neither product 1(1.7%) 1(1.5%) 0(0%) 2(3.3%) 4(1.6%)
 Skipped by participant 0(0%) 1(1.5%) 0(0%) 1(1.7%) 2(0.8%)
Pre-use opinion of using the Ring for HIV prevention
 Dislike very much 4(6.7%) 0(0%) 3(5.0%) 12(20.0%) 19(7.7%)
 Dislike 1(1.7%) 5(7.5%) 0(0%) 6(10.0%) 12(4.9%)
 Neither like nor dislike 11(18.3%) 12(17.9%) 4(6.7%) 3(5.0%) 30(12.1%)
 Like 27(45.0%) 25(37.3%) 21(35.0%) 30(50.0%) 103(41.7%)
 Like very much 17(28.3%) 24(35.8%) 32(53.3%) 7(11.7%) 80(32.4%)
 Skipped by participant 0 (0%) 1(1.5%) 0(0%) 2(3.3%) 3(1.2%)
Pre-use opinion of using oral PrEP for HIV prevention
 Dislike very much 3(5.0%) 2(3.0%) 1(1.7%) 2(3.3%) 8(3.2%)
 Dislike 4(6.7%) 4(6.0%) 2(3.3%) 2(3.3%) 12(4.9%)
 Neither like nor dislike 11(18.3%) 15(22.4%) 5(8.3%) 1(1.7%) 32(13.0%)
 Like 19(31.7%) 32(47.8%) 23(38.3%) 35(58.3%) 109(44.1%)
 Like very much 23(38.3%) 13(19.4%) 29(48.3%) 18(30.0%) 83(33.6%)
 Skipped by participant 0(0%) 1(1.5%) 0(0%) 2(3.3%) 3(1.2%)

Characteristics associated with preference for oral PrEP or the ring

We modeled the associations between baseline demographic and behavioral characteristics and preference for oral PrEP, the ring, or both products equally, controlling for site and age (Table 4). Furthermore, associations for site (controlling for age) and age (controlling for site) were also modeled. None of the characteristics were significant, except site (P<0.001, adjusted for age). Compared to participants from Zimbabwe, participants from Johannesburg had twice the odds of preferring the ring versus oral PrEP (OR 2.20; 95% CI 1.01–4.80) and participants from Uganda had nine times the odds of being interested in both methods equally versus oral PrEP (OR 9.14; 95% CI: 2.92–28.60). Although not statistically significant after adjusting for multiple comparisons, those who reported being at least a little worried about HIV acquisition had lower odds of preferring the ring (OR 0.47; 95% CI 0.23–0.99) and those who reported forced sex from non-intimate partner in the last 6 months also had lower odds of preferring the ring (OR 0.18; 95% CI 0.04–0.88). Those who reported condom use with last sex had twice to the odds of preferring the ring, and twice the odds of preferring both the ring and oral PrEP equally (OR 2.04; 95% CI 1.03–4.02) and (OR 2.36; 95% CI 1.03–5.44) respectively. Preference for ring or for both products was similarly higher with higher education level (OR 3.17; 95% CI 0.83–12.11) and (OR 4.24; 95% CI 0.97–18.51), respectively, although this was not statistically significant.

Table 4. Preference for oral PrEP or ring by baseline characteristics: Results from multinomial logistic regression with “Prefer PrEP” as reference level.

Characteristic Prefer PrEP n (%)/mean (IQR) Prefer Ring n (%)/mean (IQR) Both equally n (%)/mean (IQR) Prefer Ring Adjusted Odds Ratio (95% CI) Both Equally Adjusted Odds Ratio (95% CI)
Marital status 1
 Single 87 (41%) 81 (39%) 42 (20%) REF REF
 Married/ cohabitating 12 (43%) 12 (43%) 4 (14%) 1.44 (0.53–3.93) 1.03 (0.25–4.22)
 Separated/divorced 1 (33%) 1 (33%) 1 (33%) 1.93 (0.11–34.00) 7.76 (0.38–156.86)
Age 2
 16–17 41 (49%) 27 (33%) 15 (18%) REF REF
 18–21 59 (37%) 67 (42%) 32 (20%) 1.60 (0.87–2.95) 1.36 (0.63–2.95)
Highest level of school attended 1
 Secondary 84 (46%) 71 (39%) 29 (16%) REF REF
 Tertiary 3 (13%) 12 (52%) 8 (35%) 3.17 (0.83–12.11) 4.24 (0.97–18.51)
 Primary 13 (41%) 9 (28%) 10 (31%) 0.56 (0.17–1.87) 0.60 (0.17–2.14)
Earns own income 1
 No 82 (43%) 71 (37%) 37 (19%) REF REF
 Yes 18 (35%) 23 (45%) 10 (20%) 1.44 (0.63–3.25) 0.52 (0.18–1.48)
Pregnancy history 1
 Never pregnant 63 (43%) 54 (37%) 29 (20%) REF REF
 Ever pregnant 37 (39%) 40 (42%) 18 (19%) 1.33 (0.66–2.69) 0.96 (0.40–2.33)
Worry about HIV infection 1
 Not at all worried 24 (31%) 37 (47%) 17 (22%) REF REF
 At least a little worried 76 (47%) 57 (35%) 30 (18%) 0.47 (0.23–0.99) 1.51 (0.56–4.04)
Age of sexual debut 1 15.9 (15.0–17.0) 16.0 (15.0–17.0) 15.6 (15.0–16.0) 0.94 (0.72–1.23) 0.79 (0.57–1.09)
Baseline contraceptive method 1
 Implants 45 (42%) 46 (43%) 17 (16%) REF REF
 IUD 10 (37%) 10 (37%) 7 (26%) 1.08 (0.40–2.95) 2.25 (0.67–7.57)
 Injectable contraceptive 45 (42%) 38 (36%) 23 (22%) 0.84 (0.43–1.64) 1.97 (0.81–4.82)
AUDIT-C (categorical) 1
 Negative (< 3) 62 (43%) 56 (39%) 27 (19%) REF REF
 Positive (≥3) 38 (40%) 38 (40%) 20 (21%) 1.12 (0.60–2.09) 1.60 (0.72–3.57)
Participant has a regular place to store own things 1
 Yes 85 (43%) 78 (39%) 37 (19%) REF REF
 No 15 (37%) 16 (39%) 10 (24%) 1.40 (0.63–3.10) 1.87 (0.72–4.86)
Current living situation 1
 Lives with parents 68 (45%) 53 (35%) 30 (20%) REF REF
 Lives alone 2 (22%) 5 (56%) 2 (22%) 2.97 (0.52–17.05) 1.15 (0.13–9.75)
 Lives with non-family members 6 (32%) 10 (53%) 3 (16%) 2.10 (0.69–6.35) 1.14 (0.25–5.23)
 Lives with non-parent family members 15 (38%) 17 (43%) 8 (20%) 1.37 (0.61–3.11) 0.85 (0.30–2.42)
Currently has primary sex partner 1
 No 13 (48%) 10 (37%) 4 (15%) REF REF
 Yes 87 (41%) 84 (39%) 43 (20%) 1.15 (0.47–2.83) 1.49 (0.44–5.13)
Difference in age between participant and partner 1 5.0 (2.0–7.0) 4.6 (2.0–7.0) 4.6 (3.0–6.0) 0.97 (0.88–1.06) 0.96 (0.85–1.08)
Duration of partnership with primary partner 1
 Less than 12 months 33 (40%) 31 (37%) 19 (23%) REF REF
 More than 12 months 54 (42%) 52 (40%) 24 (18%) 0.90 (0.47–1.73) 0.77 (0.35–1.71)
Partner provides financial support 1
 No 30 (36%) 35 (42%) 18 (22%) REF REF
 Yes 57 (44%) 49 (37%) 25 (19%) 0.70 (0.35–1.40) 0.50 (0.20–1.21)
HIV status of primary partner 1
 HIV negative 60 (38%) 66 (42%) 30 (19%) REF REF
 HIV positive or don’t know 27 (47%) 18 (31%) 13 (22%) 0.66 (0.33–1.35) 1.15 (0.49–2.70)
Physical abuse from intimate partner in last 6 months 1
 No 86 (42%) 81 (39%) 39 (19%) REF REF
 Yes 14 (40%) 13 (37%) 8 (23%) 1.25 (0.52–3.01) 1.53 (0.53–4.48)
Verbal abuse from intimate partner in last 6 months 1
 No 74 (44%) 63 (38%) 30 (18%) REF REF
 Yes 26 (35%) 31 (42%) 17 (23%) 1.53 (0.79–2.97) 1.96 (0.86–4.46)
Forced sex from intimate partner in last 6 months 1
 No 88 (41%) 84 (39%) 42 (20%) REF REF
 Yes 12 (44%) 10 (37%) 5 (19%) 0.85 (0.33–2.22) 0.56 (0.16–1.92)
Forced sex from non-intimate partner in last 6 months 1
 No 91 (41%) 92 (41%) 41 (18%) REF REF
 Yes 9 (53%) 2 (12%) 6 (35%) 0.18 (0.04–0.88) 0.95 (0.28–3.23)
Vaginal sex in last 6 months 1
 No 24 (59%) 10 (24%) 7 (17%) REF REF
 Yes 75 (38%) 84 (42%) 40 (20%) 2.21 (0.96–5.10) 1.73 (0.63–4.71)
Condom use in last sex act 1
 Yes 51 (46%) 42 (38%) 19 (17%) REF REF
 No 24 (28%) 41 (48%) 21 (24%) 2.04 (1.03–4.02) 2.36 (1.03–5.44)
Anal sex, last 3 months 1
 No 89 (40%) 88 (40%) 45 (20%) REF REF
 Yes 11 (58%) 6 (32%) 2 (11%) 0.55 (0.19–1.60) 0.28 (0.06–1.40)
Number of male sex partners in last 3 months 1
 ≤ 1 67 (44%) 59 (39%) 27 (18%) REF REF
 2+ 33 (38%) 35 (40%) 20 (23%) 1.07 (0.58–1.96) 1.12 (0.52–2.40)
Transactional sex in last 6 months 1
 No 71 (41%) 72 (41%) 32 (18%) REF REF
 Yes 29 (44%) 22 (33%) 15 (23%) 0.63 (0.31–1.29) 0.61 (0.25–1.47)
Disclosure to primary sex partner about intention to use PrEP or Ring 1
 No 42 (49%) 27 (31%) 17 (20%) REF REF
 Yes 53 (37%) 62 (43%) 28 (20%) 1.78 (0.95–3.32) 1.48 (0.68–3.21)
STI diagnosed at baseline 1
 No 71 (46%) 59 (38%) 26 (17%) REF REF
 Yes 29 (34%) 35 (41%) 21 (25%) 1.40 (0.75–2.61) 2.04 (0.94–4.40)
Site 3
 Zimbabwe ‐ Harare 33 (58%) 19 (33%) 5 (9%) REF REF
 SA ‐ Cape Town 27 (46%) 21 (36%) 11 (19%) 1.25 (0.56–2.82) 2.56 (0.79–8.32)
 SA ‐ Johannesburg 24 (37%) 33 (51%) 8 (12%) 2.20 (1.01–4.80) 2.08 (0.60–7.21)
 Uganda ‐ Kampala 16 (27%) 21 (35%) 23 (38%) 2.16 (0.91–5.14) 9.14 (2.92–28.60)

1 Adjusted for site and age

2 Adjusted for site

3 Adjusted for age

Discussion

The vanguard REACH crossover trial of the ring and oral PrEP implemented at four sites in three countries in Southern and East Africa demonstrates the feasibility of enrolling sexually active AGYW in Africa, with and without parental consent. Written informed assent and parental/guardian consent was obtained from all minors aged 16–17, and those who turned 18 during the study subsequently signed the ICF. The REACH cohort was diverse geographically with 34% of minors (16–17) and with an average age of 18 years old, an age group which experienced high HIV incidence in sub-Saharan Africa and poor adherence to oral PrEP and ring in previous studies [9, 10].

Prevalence of STIs in this cohort was high with similarly high rates of STIs being reported in studies of AGYW in other SSA settings [2428]. These high rates of STIs are concerning especially because some STIs increase the possibility of HIV acquisition and the resultant long-term health consequences especially undiagnosed or untreated [25]. This high STI prevalence was further compounded by high reported intimate partner violence, including reports of forced sex (10.9%), an important contributor to HIV acquisition among AGYW [29].

The median age of sexual debut was a year earlier, on average, than starting contraceptive. A gap in protection against unintended pregnancy- which may explain the 40% who reported to ever been pregnant at this young age. This unmet need for contraception coupled with the high HIV risk highlights once again the twin challenges faced by these young women in SSA. Therefore, multipurpose technology products currently in development could be ideal for this population.

Multiple HIV prevention trials among AGYW have shown that adherence to oral PrEP and the ring can be challenging for AGYW [9, 10, 3033]. Our study was designed to provide an opportunity for participants to experience both products during the randomized periods and provide an opportunity for AGYW to choose their preferred method during a third period. Preference for oral PrEP or the ring at baseline was not significantly different and the only factor predicting preference was study site. Given that pre-initiation product preference can inform initial choice among PrEP-naive AGYW, our findings suggest that multiple biomedical prevention options may be appealing to this age group and could address their prevention needs [34]. Our findings also add to the growing literature showing that interest and acceptability for different prevention methods vary by geography and cultural context, and thus, a menu of options would be most beneficial to increase protection coverage [3538]. Our results are similar to the monitoring pre-exposure prophylaxis for young adult women (MPYA) study, which also found no association between demographic or behavioral factors and preference for oral PrEP or the ring [39]. Notably in the MPYA study participants had used PrEP for up to 24 months. However, our findings contrast with the tablets, ring, injections as options (TRIO) study results in which women using long-acting reversible contraception (LARC) at baseline preferred a ring over injections or tablets. Yet, just like in our study, TRIO found striking geographical differences in baseline product preference [40].

Mental health conditions, especially depression, have been shown to negatively affect adherence to oral PrEP, as well as ART initiation and continuation [16]. Data from our study suggests that nearly a third of participants had depressive symptoms according to the CESD-10 and an additional two-thirds had scores suggestive of alcohol abuse, which has also been shown to negatively affect adherence [41]. These high scores on both depressive symptoms and alcohol abuse point to the need for integration of mental health care into HIV prevention services for AGYW. Integration of these services has the potential not only to improve mental health but also could improve persistence on PrEP. Over 40% of participants had some worries about HIV acquisition, with a quarter reporting being very worried. Yet, substantial variations were found, and in some sites such as Kampala, most were not worried at all. Clear awareness of the potential for HIV transmission has been linked to high oral PrEP adherence observed in studies of HIV serodifferent couples [42]; conversely, low risk perceptions have been associated with poor oral PrEP uptake and continuation [43, 44]. It is therefore important to reframe HIV prevention messaging and steer away from a risk-framed message that is stigmatizing and use more empowering messaging for HIV prevention around health optimization, which are more effective [45, 46].

Disclosure of study products use reduces PrEP stigma and opposition, thereby improving adherence [47]. Notably, the ASPIRE study showed that there is a need to go beyond disclosure to providing support to avert opposition to product use after disclosure, for example through counselling and support groups [48]. In REACH, most participants had disclosed their intention to use PrEP products to female family members and primary sex partners prior to initiation, but not to male family members. In the VOICE-C study, male partners of study participants reported that they were more likely to support product use by their partners if they knew more about study participation and product use [49], and voluntary ring removals were associated with male partner concerns in the ASPIRE study [33]. Even though these products are designed for women’s use, there is a need to use innovative strategies to support women in making decisions about whether to disclose to male partners and family members. More product disclosure has the potential to help AGYW gain partner support and increase acceptance of product use more broadly. This can be achieved through couple counseling, face-to-face interactions with clinicians and service providers, and community education, which could translate to more community acceptance and effective use of prevention products [50].

This work has several limitations. Firstly, this study assessed cross sectionally stated preferences of prevention products at baseline before they had experienced using them. Future analysis from REACH will report informed preferences. Secondly our findings can only be generalizable to a narrow age group of AGYW aged 16–21, and to only two PrEP products; relative preferences for prevention products could differ for other age groups and as prevention options expand. Furthermore, the small sample size limited our ability to detect significant associations between baseline characteristics and product preferences. Thirdly, oral PrEP was already available in study countries when the trial began, whereas the ring was still under review by the regulatory authorities. It is possible that AGYW were more familiar with oral PrEP than the ring and that some participants had actually used PrEP before the trial, although this was not measured. These differences may have impacted initial responses. Despite these limitations, we were able to recruit a large proportion of minors [accompanied with parental consent], who were included for the first time in a ring trial, which will provide important safety, adherence and preference data for oral PrEP and the ring.

In conclusion, baseline data for REACH indicates that our cohort had important biological and behavioral vulnerability to HIV and thus an ongoing need for effective HIV prevention strategies. Additionally, a significant proportion of the AGYW exhibited low HIV risk perception and exhibited characteristics that have been shown to affect HIV prevention product adherence, such as depressive symptoms, alcohol abuse and lack of disclosure to partners. The balanced preference between the ring and oral PrEP suggests that multiple biomedical prevention options may be appealing to this age group and could address their prevention needs. Therefore, the REACH study is poised to provide important safety and adherence data among AGYW paving way for rollout of multiple PrEP options for this population.

Supporting information

S1 File. Inclusivity in global research.

(DOCX)

Acknowledgments

We would like to acknowledge all trial participants for taking time to contribute to this research. Additionally, we would like to acknowledge all the research staff at the at four sites (Cape Town and Johannesburg, South Africa; Kampala, Uganda; and Harare, Zimbabwe).

Data Availability

Data cannot be shared publicly because the primary manuscript of the trial has not been published. Data are available from the Microbicides Trials Network Institutional Data Access / Ethics Committee (contact via mtn034leadership@mtnstopshiv.org) for researchers who meet the criteria for access to confidential data.

Funding Statement

The study was designed and implemented by the Microbicide Trials Network (MTN) and was funded by the National Institute of Allergy and Infectious Diseases through individual grants (UM1AI068633, UM1AI068615 and UM1AI106707), with co-funding from the Eunice Kennedy Shriver National Institute of Child Health and Human Development and the National Institute of Mental Health, all components of the U.S. National Institutes of Health (NIH). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Global HIV & AIDS statistics — 2020 fact sheet https://www.unaids.org/en/resources/fact-sheet - Accessed on November 20, 2021
  • 2.UNAIDS. Women and HIV: a spotlight on adolescent girls and young women. UNAIDS. 2019. https://www.unaids.org/en/resources/documents/2019/women-and-hiv Accessed on November 20, 2021
  • 3.Karim QA, Baxter C, Birx D. Prevention of HIV in adolescent girls and young women: key to an AIDS-free generation. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2017. May 1;75: S17–26. doi: 10.1097/QAI.0000000000001316 [DOI] [PubMed] [Google Scholar]
  • 4.Dellar RC, Dlamini S, Karim QA. Adolescent girls and young women: key populations for HIV epidemic control. Journal of the International AIDS Society. 2015. Feb; 18:19408. doi: 10.7448/IAS.18.2.19408 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Gilead Sciences, Inc. U.S. Food and Drug Administration Approves Gilead’s Truvada for Reducing the Risk of Acquiring HIV (Press Release). July 16, 2012. http://www.gilead.com/news/press-releases/2012/7/us-food-and-drugadministration-approves-gileads-truvada-for-reducing-the-risk-of-acquiring-hiv.)
  • 6.World Health Organization. WHO technical update on pre-exposure prophylaxis (PrEP). World Health Organization; 2015. [Google Scholar]
  • 7.World Health Organization. Department of HIV/AIDS. Consolidated guidelines on the use of antiretroviral drugs for treating and preventing HIV infection: Recommendations for a public health approach – 2nd edition. June 2016. Geneva, Switzerland [PubMed]
  • 8.Fonner VA, Dalglish SL, Kennedy CE, Baggaley R, O’reilly KR, Koechlin FM, et al. Effectiveness and safety of oral HIV preexposure prophylaxis for all populations. AIDS (London, England). 2016. Jul 31;30(12): 1973. doi: 10.1097/QAD.0000000000001145 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Marrazzo JM, Ramjee G, Richardson BA, et al. Tenofovir-based preexposure prophylaxis for HIV infection among African women. N Engl J Med 2015; 372(6): 509–18. doi: 10.1056/NEJMoa1402269 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Van Damme L, Corneli A, Ahmed K, et al. Preexposure prophylaxis for HIV infection among African women. N Engl J Med 2012; 367(5): 411–22. doi: 10.1056/NEJMoa1202614 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Baeten JM, Palanee-Phillips T, Brown ER, Schwartz K, Soto-Torres LE, Govender V, et al. Use of a vaginal ring containing dapivirine for HIV-1 prevention in women. New England Journal of Medicine. 2016. Dec 1;375(22):2121–32. doi: 10.1056/NEJMoa1506110 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Nel A, van Niekerk N, Kapiga S, Bekker LG, Gama C, Gill K, et al. Safety and efficacy of a dapivirine vaginal ring for HIV prevention in women. New England Journal of Medicine. 2016. Dec 1;375(22):2133–43. doi: 10.1056/NEJMoa1602046 [DOI] [PubMed] [Google Scholar]
  • 13.https://www.ema.europa.eu/en/news/vaginal-ring-reduce-risk-hiv-infection-women-non-eu-countries-high-disease-burden
  • 14.Https://www.who.int/news/item/26-01-2021-who-recommends-the-dapivirine-vaginal-ring-as-a-new-choice-for-hiv-prevention-for-women-at-substantial-risk-of-hiv-infection
  • 15.Brown ER, Hendrix CW, van der Straten A, Kiweewa FM, Mgodi NM, Palanee‐Philips T, et al. Greater dapivirine release from the dapivirine vaginal ring is correlated with lower risk of HIV‐1 acquisition: a secondary analysis from a randomized, placebo‐controlled trial. Journal of the International AIDS Society. 2020. Nov;23(11): e25634. doi: 10.1002/jia2.25634 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Collins PY, Velloza J, Concepcion T, et al. Intervening for HIV prevention and mental health: a review of global literature. J Int AIDS Soc. 2021;24(S2):4–36. doi: 10.1002/jia2.25710 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Andresen EM, Malmgren JA, Carter WB, Patrick DL. Screening for depression in well older adults: Evaluation of a short form of the CES-D. American journal of preventive medicine. 1994. Mar 1;10(2):77–84. [PubMed] [Google Scholar]
  • 18.Baron EC, Davies T, Lund C. Validation of the 10-item centre for epidemiological studies depression scale (CES-D-10) in Zulu, Xhosa and Afrikaans populations in South Africa. BMC psychiatry. 2017. Dec;17(1):1–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Johnson NA, Kypri K, Saunders JB, Saitz R, Attia J, Latter J, et al. Effect of electronic screening and brief intervention on hazardous or harmful drinking among adults in the hospital outpatient setting: A randomized, double-blind, controlled trial. Drug and alcohol dependence. 2018. Oct 1; 191:78–85. doi: 10.1016/j.drugalcdep.2018.06.030 [DOI] [PubMed] [Google Scholar]
  • 20.Morean ME, DeMartini KS, Leeman RF, Pearlson GD, Anticevic A, Krishnan-Sarin S, et al. Psychometrically improved, abbreviated versions of three classic measures of impulsivity and self-control. Psychological assessment. 2014. Sep;26(3):1003. doi: 10.1037/pas0000003 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Zimet G.D., Dahlem N. W., Zimet S. G., et al., The multidimensional scale of perceived social support. Journal of Personality Assessment, 1988. 52(1): p. 30–41 [Google Scholar]
  • 22.Nakigudde Janet, Musisi Seggane, Ehnvall Anna, Airaksinen Eija, Agren Hans. Adaptation of the multidimensional scale of perceived social support in a Ugandan setting. African Health Sciences 2009; 9(S1): 35–41 [PMC free article] [PubMed] [Google Scholar]
  • 23.Bruwera Belinda, Emsleya Robin, Kiddb Martin, Lochnerc Christine, Seedat Soraya. Psychometric properties of the Multidimensional Scale of Perceived Social Support in youth Comprehensive Psychiatry 49 (2008) 195–201. [DOI] [PubMed] [Google Scholar]
  • 24.Francis SC, Mthiyane TN, Baisley K, Mchunu SL, Ferguson JB, Smit T, et al. Prevalence of sexually transmitted infections among young people in South Africa: A nested survey in a health and demographic surveillance site. PLoS Med. (2018) 15:e1002512 10.1371/journal.pmed.1002512 doi: 10.1371/journal.pmed.1002512 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Yuh T, Micheni M, Selke S, Oluoch L, Kiptinness C, Magaret A, et al. Sexually transmitted infections among Kenyan adolescent girls and young women with limited sexual experience. Frontiers in Public Health. 2020. Jul 14;8:303. doi: 10.3389/fpubh.2020.00303 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Kaida A, Dietrich JJ, Laher F, Beksinska M, Jaggernath M, Bardsley M, et al. A high burden of asymptomatic genital tract infections undermines the syndromic management approach among adolescents and young adults in South Africa: implications for HIV prevention efforts. BMC Infect Dis. (2018) 18:499 10.1186/s12879-018-3380-6 doi: 10.1186/s12879-018-3380-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Barnabas SL, Dabee S, Passmore JS, Jaspan HB, Lewis DA, Jaumdally SZ, et al. Converging epidemics of sexually transmitted infections and bacterial vaginosis in southern African female adolescents at risk of HIV. Int J STD AIDS. (2018) 29:531–9. 10.1177/0956462417740487 doi: 10.1177/0956462417740487 [DOI] [PubMed] [Google Scholar]
  • 28.Masese LN, Wanje G, Kabare E, Budambula V, Mutuku F, Omoni G, et al. Screening for sexually transmitted infections in adolescent girls and young women in Mombasa, Kenya: feasibility, prevalence, and correlates. Sex Transm Dis. (2017) 44:725–31. doi: 10.1097/OLQ.0000000000000674 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Rigby SW, Johnson LF. The relationship between intimate partner violence and HIV: A model-based evaluation. Infectious Disease Modelling. 2017. Feb 1;2(1):71–89. doi: 10.1016/j.idm.2017.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Celum C, Mgodi N, Bekker LG, Hosek S, Donnel D, Anderson P. PrEP use in young African women in HPTN 082: effect of drug level feedback. In: 10th IAS Conference on HIV Science. Mexico City (2019). [Google Scholar]
  • 31.Gill K, Johnson L, Dietrich J, Myer L, Marcus R, Wallace M, et al. Acceptability, safety, and patterns of use of oral tenofovir disoproxil fumarate and emtricitabine for HIV pre-exposure prophylaxis in South African adolescents: an open-label single-arm phase 2 trial. Lancet Child Adolesc Health. (2020) 4:875–83. doi: 10.1016/S2352-4642(20)30248-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Haberer JE, Bukusi EA, Mugo NR, Pyra M, Kiptinness C, Oware K, et al. Effect of SMS reminders on PrEP adherence in young Kenyan women (MPYA study): a randomised controlled trial. Lancet HIV. (2021) 8: e130–e7. doi: 10.1016/S2352-3018(20)30307-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Montgomery ET, van der Straten A, Chitukuta M, Reddy K, Woeber K, Atujuna M, et al. Acceptability and use of a dapivirine vaginal ring in a phase III trial. AIDS (London, England). 2017. May 15;31(8):1159. doi: 10.1097/QAD.0000000000001452 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Van der Straten A, Agot K, Ahmed K, Weinrib R, Browne EN, Manenzhe K, et al. The Tablets, Ring, Injections as Options (TRIO) study: what young African women chose and used for future HIV and pregnancy prevention. Journal of the International AIDS Society. 2018. Mar;21(3):e25094.” doi: 10.1002/jia2.25094 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Luecke EH, Cheng H, Woeber K, Nakyanzi T, Mudekunye‐Mahaka IC, van der Straten A, et al. Stated product formulation preferences for HIV pre‐exposure prophylaxis among women in the VOICE‐D (MTN‐003D) study. Journal of the International AIDS Society. 2016. Jan;19(1):20875. doi: 10.7448/IAS.19.1.20875 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Mayo AJ, Browne EN, Montgomery ET, Torjesen K, Palanee-Phillips T, Jeenarain N, et al. Acceptability of the Dapivirine Vaginal Ring for HIV-1 Prevention and Association with Adherence in a Phase III Trial. AIDS and Behavior. 2021. Aug;25(8):2430–40. doi: 10.1007/s10461-021-03205-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Minnis AM, Gandham S, Richardson BA, Guddera V, Chen BA, Salata R, et al. Adherence and acceptability in MTN 001: a randomized cross-over trial of daily oral and topical tenofovir for HIV prevention in women. AIDS and Behavior. 2013. Feb;17(2):737–47. doi: 10.1007/s10461-012-0333-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Tolley EE, Zangeneh SZ, Chau G, Eron J, Grinsztejn B, Humphries H, et al. Acceptability of long-acting injectable cabotegravir (CAB LA) in HIV-uninfected individuals: HPTN 077. AIDS and Behavior. 2020. Sep;24(9):2520–31. doi: 10.1007/s10461-020-02808-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ngure K, Mugo NR, Bukusi EA, Kiptinness C, Oware K, Gakuo S, et al. Pills, Injections, Rings, or Implants? PrEP Formulation Preferences of PrEP-Experienced African Women for HIV Prevention. JAIDS Journal of Acquired Immune Deficiency Syndromes. 2021. Dec 1;88(4): e30–2. doi: 10.1097/QAI.0000000000002793 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Weinrib R, Minnis A, Agot K, Ahmed K, Owino F, Manenzhe K, et al. End-users’ product preference across three multipurpose prevention technology delivery forms: baseline results from young women in Kenya and South Africa. AIDS and Behavior. 2018. Jan;22(1):133–45. doi: 10.1007/s10461-017-1911-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Celum CL, Delany‐Moretlwe S, Baeten JM, van der Straten A, Hosek S, Bukusi EA, et al. HIV pre‐exposure prophylaxis for adolescent girls and young women in Africa: from efficacy trials to delivery. Journal of the International AIDS Society. 2019. Jul;22: e25298. doi: 10.1002/jia2.25298 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Haberer JE, Ngure K, Muwonge T, Mugo N, Katabira E, Heffron R, et al. Context matters: PrEP adherence is associated with sexual behavior among HIV serodiscordant couples in East Africa. J Acquir Immune Defic Syndr. (2017) 76:488–92. doi: 10.1097/QAI.0000000000001548 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Kohler PK, et al. High awareness, yet low uptake, of pre-exposure prophylaxis among adolescent girls and young women within family planning clinics in Kenya. AIDS Patient Care STDs. (2020) 34:336–43. doi: 10.1089/apc.2020.0037 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Oluoch LM, Roxby A, Mugo N, Wald A, Ngure K, Selke S, et al. Does providing laboratory confirmed STI results impact uptake of HIV pre-exposure prophylaxis (PrEP) uptake among Kenyan adolescents girls and young women? A descriptive analysis. Sex Trans Infect. (2020). [Epub ahead of print]. doi: 10.1136/sextrans-2020-054637 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Haberer JE, Mugo N, Baeten JM, Pyra M, Bukusi E, Bekker LG. PrEP as a lifestyle and investment for adolescent girls and young women in Sub-Saharan Africa. J Int Assoc Provid AIDS Care. 2019; 18:2325958219831011 doi: 10.1177/2325958219831011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Amico KR, Bekker LG. Global PrEP roll-out: recommendations for programmatic success. Lancet HIV. 2019;6(2): e137–e140140. doi: 10.1016/S2352-3018(19)30002-5 [DOI] [PubMed] [Google Scholar]
  • 47.Velloza J, Khoza N, Scorgie F, Chitukuta M, Mutero P, Mutiti K, et al. The influence of HIV‐related stigma on PrEP disclosure and adherence among adolescent girls and young women in HPTN 082: a qualitative study. Journal of the International AIDS Society. 2020. Mar;23(3):e25463. doi: 10.1002/jia2.25463 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Roberts ST, Nair G, Baeten JM, Palanee-Philips T, Schwartz K, Reddy K, et al. Impact of male partner involvement on women’s adherence to the dapivirine vaginal ring during a phase III HIV prevention trial. AIDS and Behavior. 2020. May;24(5):1432–42. doi: 10.1007/s10461-019-02707-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Montgomery ET, van der Straten A, Stadler J, Hartmann M, Magazi B, Mathebula F, et al. Male partner influence on women’s HIV prevention trial participation and use of pre-exposure prophylaxis: the importance of “understanding”. AIDS and Behavior. 2015. May;19(5):784–93. doi: 10.1007/s10461-014-0950-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Montgomery ET, Roberts ST, Reddy K, Tolley E, Hartmann M, Wilson E, et al. Integration of a Relationship-focused Counseling Intervention with Delivery of the Dapivirine Ring for HIV Prevention to Women in Johannesburg: Results of the CHARISMA Pilot Study. AIDS and Behavior. 2021. Sep 21:1–2. doi: 10.1007/s10461-021-03434-2 [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 File. Inclusivity in global research.

(DOCX)

Data Availability Statement

Data cannot be shared publicly because the primary manuscript of the trial has not been published. Data are available from the Microbicides Trials Network Institutional Data Access / Ethics Committee (contact via mtn034leadership@mtnstopshiv.org) for researchers who meet the criteria for access to confidential data.


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