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PLOS Global Public Health logoLink to PLOS Global Public Health
. 2024 Mar 4;4(3):e0002491. doi: 10.1371/journal.pgph.0002491

Self-reported uptake of STI testing services among adolescents and young people aged 15–24 years: Findings from the Yathu Yathu cluster randomized trial in Lusaka, Zambia

Bernadette Hensen 1,*, Mwelwa M Phiri 2, Lucheka Sigande 2, Ab Schaap 2,3, Melvin Simuyaba 2, Rosemary Zulu-Phiri 2, Louis Mwape 2, Sian Floyd 3, Sarah Fidler 4, Richard Hayes 3, Musonda Simwinga 2, Helen Ayles 2,5
Editor: Joel Msafiri Francis6
PMCID: PMC10911628  PMID: 38437238

Abstract

There is little evidence regarding community-based delivery of STI testing and treatment for youth aged 15–24 (AYP) in Zambia. In a cluster-randomised trial, we evaluated whether offering syndromic STI screening through community-based, peer-led sexual and reproductive health services (Yathu Yathu) with referral to a local health facility for testing, increased self-reported testing for STIs (other than HIV) among AYP. Two communities in Lusaka were divided into 10 zones each (20 zones in total); by community, zones were randomly allocated (1:1) to Yathu Yathu or control. Monitoring data were used to describe syndromic STI screening through Yathu Yathu and an endline cross-sectional survey used to evaluate the impact of Yathu Yathu on self-reported ever and recent (last 12 months) STI testing. 10,974 AYP accessed Yathu Yathu; 66.6% (females—67.7%; males—64.7%) were screened for STIs, 6.2% reported any STI symptoms. In the endline survey, 23.3% (n = 350/1501) of AYP who ever had sex ever STI tested; 13.5% (n = 174/1498) who had sex in the last 12 months recently STI tested. By trial arm, there was no difference in self-reported ever or recent STI testing among all AYP. Among men aged 20–24, there was evidence that ever STI testing was higher in the Yathu Yathu compared to control arm (24.1% vs 16.1%; adjPR = 1.67 95%CI = 1.02, 2.74; p = 0.04). Among AYP who ever STI tested, 6.6% (n = 23) reported ever being diagnosed with an STI. Syndromic STI management through community-based, peer-led services showed no impact on self-reported STI testing among AYP. Research on community-based delivery of (near) point-of-care diagnostics is needed.

Trial registration number(s): NCT04060420 https://clinicaltrials.gov/ct2/show/NCT04060420; and ISRCTN75609016; https://doi.org/10.1186/ISRCTN75609016.

Introduction

In 2020, there were an estimated 374 million new sexually transmitted infections (STIs) globally with one of four curable STIs, namely chlamydia, gonorrhoea, syphilis and trichomoniasis [1]. The burden of STIs is particularly high among adolescents and young people aged 10–24, with an estimated incidence of 18.4 per 100-person years for chlamydia, genital herpes, gonorrhoea, syphilis, and trichomoniasis [2]. Despite a high incidence of STIs, including HIV, STI control strategies are failing to reach youth [3]. A recent trend analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study found that, although STI incidence decreased among adolescents and young people aged 10 to 24 between 2010 and 2019, incidence increased among adolescents aged 10 to 14, from 1158.9 per 100,000 population in 1990 to 1215.4 per 100,000 population in 2019 [2]. The study also found that adolescents and young people in countries in southern Africa had the highest incidence of STIs, including HIV, in 2019 [2].

In many countries, particularly countries with limited diagnostic resources, STI diagnosis and treatment relies on syndromic management. Recommended by the World Health Organization (WHO) in the 1990s [4], it is now clear that syndromic management is inadequate: many STIs are asymptomatic and many STI symptoms are nonspecific, particularly among adolescent girls and women [5]. Syndromic management leads to overtreatment of symptoms not associated with STIs, posing a risk for antimicrobial resistance, and undertreatment of asymptomatic STIs, a risk for ongoing transmission and morbidity [6]. As cheaper point-of-care (or near point-of-care) tests become available [7], including dual syphilis/HIV self-tests [8], evidence of effective strategies to deliver these tests to adolescents and young people (AYP) will be needed. A key gap, however, in designing effective STI control strategies is the lack of country-specific data on the burden of STIs among AYP, particularly from southern African countries [9].

In Zambia, there are few recent data on the prevalence of STIs among AYP; recent available evidence includes a study conducted between 2016–2019 on the prevalence of chlamydia and gonorrhoea among female sex workers recruited through community outreach and single mothers with children aged <5 recruited through post-natal clinics [10]. Studies conducted more than a decade ago have reported: the prevalence of chlamydia and gonorrhoea among women living with HIV in Lusaka [11]; the prevalence of genital tract infections, including trichomoniasis and gonorrhoea, among pregnant women living with HIV in Lusaka [12], and the epidemiology of chlamydia, gonorrhoea, and syphilis among adolescents and adults aged 15–49 in four African cities, including Lusaka [13].

Recognizing the need to reach AYP with sexual and reproductive (SRH) services, we evaluated the impact of Yathu Yathu—comprehensive, community-based, and peer-led SRH services–on knowledge of HIV status [14]. Among the services available through the Yathu Yathu community-based spaces (called hubs) was symptomatic screening of STIs, other than HIV, with referral to the local health facility for testing and treatment. Using a cluster randomized trial (CRT) design, we found that the intervention increased knowledge of HIV status among AYP [15]. In this paper, we use data routinely collected during implementation of Yathu Yathu to describe symptomatic STI screening among AYP accessing Yathu Yathu. We also evaluate the impact of Yathu Yathu on self-reported testing for STIs, other than HIV, describe the self-reported prevalence of STIs and factors associated with ever STI-testing.

Methods

We report analyses of the CRT in line with the CONSORT extension for Cluster Randomized Trials (S1 Checklist) [16].

Study location and population

The Yathu Yathu CRT was conducted in two high-density, urban communities in Lusaka, Zambia. As described elsewhere, the two communities were divided into 20 zones of roughly equal population size and, within each community, zones were randomly allocated to the Yathu Yathu intervention or control group [14]. Immediately following randomization, in August 2019, a census was conducted in all 20 zones. All households and all AYP aged 15–24 resident in these households were enumerated. AYP aged 15–24 were offered a prevention points card (PPC) and informed that they could gain points for services accessed at a Yathu Yathu hub or health facility (intervention arm) or at the health facility only (control arm), and could use these points to “buy” rewards (soap, toothbrush, toothpaste, deodorant). The PPC served to incentivize service access and allowed the study to monitor service use, inform adaptations [17], measure implementation and evaluate the impact of Yathu Yathu on coverage of key SRH services [14].

Yathu Yathu intervention

The Yathu Yathu intervention, described elsewhere [14], consisted of two main components: 1) community-based delivery of comprehensive SRH services through hubs that were managed by peer support workers and 2) the PPC, linked to rewards to incentivize use of services. The points AYP gained when accessing services were dependent on the psychological difficulty of accessing each individual service, as determined by AYP during formative research to design the intervention [18]. Community engagement was conducted throughout implementation.

The ten hubs, one in each intervention zone, were managed day-to-day by peer support workers, who were supported by a hub supervisor, and a nurse who visited each hub weekly. The services available on-site included, but were not limited to, HIV testing (finger-prick and oral self-testing), symptomatic screening for STIs, comprehensive sexuality education, and contraceptives (oral pill and injectables; condoms). AYP could accrue 125 points for symptomatic STI screening (similar to collection and return of an oral HIV self-testing kit and TB screening); for AYP experiencing symptoms, peer support workers referred the individual to the local health facility for STI diagnosis and treatment. If AYP were referred to the health facility, tested positive for an STI and initiated treatment for this STI, they could gain 250 points for initiating treatment (either through informing a peer support worker at the hub or information desk at the local health facility). Yathu Yathu services were available from September 2019.

Each community had one public health facility offering STI testing and treatment services and youth-friendly corners; as such, these were the services available in the control arm. An information desk was established at both facilities to welcome AYP and allow them to accrue points on their PPC for services accessed at the health facility.

Data collection

The first data source was process data on services accessed by AYP attending Yathu Yathu hubs, which were routinely collected using the PPC. Using these data, we described (overall and by sex): the number and percentage of AYP screened for STIs; the percentage of AYP experiencing any of the following symptoms: pain during sex, genital itching, discharge and/or sores, and the percentage of AYP with any symptoms who were referred for STI testing. Data on services accessed were collected from 1 September 2019, when services were first available, until 30 September 2021.

The second data source was the endline population-based survey used to evaluate the impact of Yathu Yathu on the trial outcomes [15]. The sampling frame for the survey was AYP who accepted a PPC during the census. In line with the sample size calculation for the primary outcome, approximately 2000 AYP participated in the endline survey. This survey was initiated on 29 April 2021 and completed 4 November 2021. The questionnaire administered during the survey included modules on socio-demographics, sexual behavior, uptake of HIV testing services and linkage to prevention or care, and whether AYP had ever and recently (last 12 months) tested for an STI, other than HIV, and whether they ever tested positive for an STI.

Outcomes and explanatory variables

In the endline survey, the two outcomes of interest were: the percentage of AYP self-reporting ever testing for an STI, other than HIV, among AYP reporting ever having had sex, and the percentage of AYP self-reporting recently (last 12 months) testing for an STI among AYP reporting sex in the last 12 months. Variables explored for their association with ever STI testing included: age, sex, highest level of education attained, employment status, whether AYP reported ever having no food to eat in their household in the last 4 weeks because of a lack of resources to get food, and sexual behaviors, including number of lifetime sexual partners, number of sexual partners in the last 12 months, and condom use at last sex.

Data analysis

To estimate whether Yathu Yathu had an impact on self-reported ever and recent STI testing, we used the two-stage process recommended for CRTs with <15 clusters (zones)/arm [19]. We first estimated the percentage of AYP self-reporting each outcome by cluster, then estimated the average of these cluster-specific estimates by arm. To formally compare the two trial arms in an “unadjusted” analysis, we fitted a linear regression model of log(cluster-level proportion) on trial arm and community, to obtain a log prevalence ratio (PR) comparing the Yathu Yathu arm with the control arm and a corresponding 95% confidence interval. To adjust for age and sex, we used a two stage process. First, we fitted a logistic regression model to individual-level data for both outcomes, ignoring allocation to trial arm, but adjusting for age, sex, and community. We then estimated an individual’s predicted probability of the outcomes after adjusting for these covariates. Subsequently, we aggregated the observed (O) and expected (E) numbers of individuals with the outcomes, under the null hypothesis of no intervention effect. We then estimated the ratio of the O/E number of individuals self-reporting ever and recently STI testing, and calculated the log(ratio-residual) as log(O/E). Next, to obtain a PR and associated 95% confidence interval comparing the Yathu Yathu and control trial arms adjusted for sex, age, and community, we fitted a linear regression model of log(O/E) on trial arm and community. We stratified analyses by four age-sex groups (adolescent girls and boys aged 15–19, young women and men aged 20–24).

To explore factors associated with ever STI testing, we used logistic regression with robust standard errors to account for clustering by the 20 zones. As COVID-19 control measures likely affected STI service delivery at the health facility in the year prior to the survey, we did not explore factors associated with recent STI-testing. We conducted analyses separately for adolescent girls and young women (AGYW) and adolescent boys and young men (ABYM), as we expected factors associated with uptake might differ by sex.

Factors found to be associated with ever STI-testing in age- and community-adjusted analyses at the p<0.1 level were included in multivariable analyses. In these analyses, we used a hierarchical approach to avoid over-adjusting for variables likely to be mediators of a relationship. For example, to explore whether household-level wealth and food availability were associated with STI testing we did not adjust for individual-level factors, which are likely to be on the causal pathway between household-level variables and self-reported uptake of STI testing.

Ethical statement

The Yathu Yathu CRT was approved by the University of Zambia Biomedical Research Ethics Committee (ref 007-04-19) and the London School of Hygiene and Tropical Medicine (ref 17104). All AYP were asked for written informed consent prior to PPC distribution and to participate in the endline survey. For the survey, a waiver of parental consent for AYP aged <18-years was granted by both institutional reviews boards, as parents/guardians provided consent during census and PPC distribution for adolescents aged 15 to 17-years. The study was approved by the Zambian National Health Research Authority. This trial was registered at: NCT04060420 https://clinicaltrials.gov/ct2/show/NCT04060420; and ISRCTN75609016 https://doi.org/10.1186/ISRCTN75609016.

Results

Syndromic STI screening at Yathu Yathu services

Among the 10,974 AYP who accessed any Yathu Yathu service, 66.6% (67.7%, n = 4743/7009, AGYW; 64.7%, n = 2567/3965, ABYM) of AYP were screened for an STI at least once. Among these AYP, 39.6% (n = 2898/7310) were screened more than once and 6.2% (n = 679) reported any STI symptoms at any visit (10.8%, n = 511 AGYW, and 6.5%, n = 168 ABYM).

At their first STI symptom screen, 7.7% (n = 563/7310) of AYP reported experiencing any STI symptom (8.8%, n = 419, of AGYW, and 5.6%, n = 144, of ABYM; Fig 1A); all were referred for STI testing. The most common symptom, among AYP experiencing any symptoms, was genital itching (75.3%, n = 424) followed by pain during sex (30.2%, n = 170), discharge (29.0%, n = 163) and genital sores (27.7%, n = 156). Reported symptoms were similar by sex (Fig 1B), however, there was some evidence that AGYW were more likely to report genital discharge (30.8% vs 23.1%, respectively).

Fig 1. Self-reported STI symptoms among all adolescents and young people aged 15–24 screened for an STI (A, N = 7310) and self-reporting any STI symptoms at their first symptomatic screen for STIs through Yathu Yathu (B, N = 563), 2019–2021.

Fig 1

Self-reported ever and recent STI testing in the endline survey

Overall, 1989 AYP participated in the endline survey, among whom 75.7% (n = 1505) reported ever having had sex and 1501 had complete data on testing for STIs (Fig 2).

Fig 2.

Fig 2

Among these AYP, just over half were female (52.2%; n = 784/1501) and 59.9% (n = 899/1501) were aged 20–24 years at the time of the census (Table 1). Almost half reported attaining incomplete secondary education (48.4%, n = 727/1501) and one-third were currently employed (34.6%, n = 519). Approximately half (44.8%; n = 673) reported 2–4 lifetime sexual partners, 73.5% (n = 1101) had sex in the last 12-months, and 45.2% (n = 677) reported using a condom the last time they had sex (Table 1).

Table 1. Characteristics of AYP who consented to participate in the endline survey and reported ever having had sex, 2021.

Overall 1501
Sex
 Male 717 (47.8)
 Female 784 (52.2)
Age group (at time of census)
 15-19y 602 (40.1)
 20-24y 899 (59.9)
Current marital status
 Single–never married 1111 (74.0)
 Currently married &/or living with partner 350 (23.3)
 Currently married, living apart 25 (1.7)
 Divorced, separated or widowed 15 (1.0)
Currently in school
 No 1204 (80.0)
 Yes 301 (20.0)
Highest level of education attained
 None/incomplete primary 63 (4.2)
 Complete secondary 137 (9.1)
 Incomplete secondary 727 (48.4)
 Complete secondary/Higher 574 (38.2)
Currently employed
 No 982 (65.4)
 Yes 519 (34.6)
In past 4 weeks, ever no food to eat in the household because of lack of resources
 No 965 (64.3)
 Yes 536 (35.7)
Wealth quintiles according to household assets
 1 –Lowest 317 (21.2)
 2 344 (23.0)
 3 –Middle 276 (18.4)
 4 268 (17.9)
 5—Highest 293 (19.6)
Lifetime number of sex partners
1 577 (38.4)
2 to 4 673 (44.8)
5 to 10 184 (12.3)
>10 67 (4.5)
Condom used at last sex
No 822 (54.8)
Yes 677 (45.2)
Had sex in the last 12 months
No 398 (26.6)
Yes 1101 (73.4)
Number of sex partners in the past 12 months *
1 859 (78.0)
2 to 4 198 (18.0)
>5 44 (4.0)

*Among those who reported sex in the last 12 months (N = 1101).

Overall, 23.3% (n = 350/1501) of AYP who ever had sex reported ever testing for an STI, other than HIV. Restricting to AYP who reported ever having sex in the last 12 months, 13.5% (n = 148/1099) reported testing for an STI in the last 12 months.

By trial arm, there was no difference in self-reported ever (24.1%, n = 182/754, vs 22.5%, n = 168/747, respectively, adjPR = 1.16 95%CI 0.70, 1.91; p = 0.56) or recent (15.1%, n = 86/564, vs 11.1%, n = 62/535, respectively, adjPR = 1.70 95%CI 0.88, 3.27; p = 0.11) STI testing among all AYP (Table 2). However, there was evidence that ever STI testing was higher among young men aged 20–24 in the Yathu Yathu compared to control arm (24.1%, n = 55/227, vs 16.1%, n = 35/212, respectively, adjPR = 1.67 95%CI = 1.02, 2.74; p = 0.04).

Table 2. Self-reported ever- and recent-testing for an STI, other than HIV, among adolescents and young people, by trial arm, 2021.

Ever STI-tested (among AYP reporting ever having had sex) Yathu Yathu Arm Control Arm Adjusted PR 2 95% CI p-value
Overall 24.1%3
(n = 182/754)4
22.4%5
(n = 168/747)6
1.16 0.70, 1.91 0.56
Adolescent girls (aged 15–191) 23.8%
(n = 38/161)
23.6%
(n = 39/163)
0.93 0.45, 1.92 0.85
Adolescent boys (aged 15–191) 12.2%
(n = 16/133)
11.1%
(n = 14/145)
1.23 0.62, 2.46 0.53
Women (aged 20–241) 31.8%
(n = 73/233)
34.3%
(n = 80/227)
0.91 0.52, 1.58 0.73
Men (aged 20–241) 24.1%
(n = 55/227)
16.1%
(n = 35/212)
1.67 1.02, 2.74 0.04
Recently STI-tested (among AYP reporting sex in last 12 months) Yathu Yathu Arm Control Arm Adjusted PR 2 95% CI p-value
Overall 15.1%
(n = 86/564)
11.1%
(n = 62/535)
1.70 0.88, 3.27 0.11
Adolescent girls (aged 15–191) 14.5%
(n = 17/115)
14.5%
(n = 16/117)
1.04 0.52, 2.11 0.90
Adolescent boys (aged 15–191) 11.2%
(n = 8/89)
3.3%
(n = 2/72)
1.26 0.73, 2.17 0.38
Women (aged 20–241) 19.4%
(n = 38/192)
14.9%
(n = 31/191)
1.26 0.57, 2.76 0.54
Men (aged 20–241) 14.7%
(n = 24/166)
8.6%
(n = 12/157)
1.74 0.87, 3.47 0.11

1Age at time of consent to receive a prevention points card,

2PR = Prevalence ratio. Overall: Adjusted for age, sex and community. Each age-sex group: Adjusted for community;

3 Arithmetic mean of the 10 cluster-specific values of the proportion of AYP who reported ever/recently STI testing in the Yathu Yathu arm;

4 n = number of individuals who ever/recently STI tested in the intervention arm, denominator = number of survey participants in the intervention arm who reported ever/recently having had sex;

5 Arithmetic mean of the 10 cluster-specific values of the proportion of AYP who reported ever/recently STI testing in the control arm;

6 n = number of individuals who ever/recently STI tested in the control arm, denominator = number of survey participants in the control arm who reported ever/recently having had sex.

Among AYP who ever tested for an STI, 6.6% (n = 23/350) reported ever being diagnosed with an STI; five individuals did not know which STI they tested positively for. Among the remaining 18 individuals, 83.3% (n = 15) self-reported being diagnosed with syphilis and 16.7% (n = 3) with gonorrhoea. Overall, among AYP reporting ever-testing for an STI, the self-reported prevalence of ever-testing positive for syphilis was 4.3% (n = 15/350) and for gonorrhoea was 0.9% (n = 3/350).

Factors associated with self-report of ever-testing for STIs

Among AGYW who ever had sex, 58.7% (n = 462) were aged 20–24 at the time of the census and 58.5% (n = 460) were currently single and had never been married. Thirty-percent (31.5%, n = 248) had completed secondary education or higher, and the majority were not currently employed (79.0%; n = 622). Over half (59.6%, n = 465) had ever given birth and 46.5% (n = 366) had 2–4 lifetime sexual partners. Almost all reported one sexual partner in the last 12 months (90.9%, n = 562) and 37.9% (n = 298) used a condom at last sex.

Age was strongly associated with ever STI-testing, with 33.3% (n = 153/462) of young women aged 20–24 ever STI-testing compared to 23.8% (n = 77/325) of adolescent girls (adjOR = 1.60 95%CI 1.21, 2.12; p = 0.004; Table 3). Similarly, being currently married and/or living with a partner (41.7%, n = 131/315, vs never married 20.7%, n = 95/460; adjOR = 3.00 95%CI 2.06, 4.36; p<0.001) and ever giving birth (37.7% n = 175/465, vs never given birth 17.3%, n = 54/315; adjOR = 2.54 95%CI 1.70, 3.78; p<0.001) were strongly associated with ever STI-testing. Self-reported ever STI-testing was higher among AGYW who reported ever having no food in the household in the past 4-weeks (35.6%, n = 104/294, vs 25.6%, n = 126/493; adjOR = 1.39 95%CI 1.03, 1.88; p = 0.03). There was little evidence that sexual behaviors were associated with ever STI-testing among AGYW.

Table 3. Factors associated with ever STI-testing among adolescent girls and young women self-reporting ever having had sex in the Yathu Yathu endline survey, 2021 (N = 784).

Characteristics (n, column %) and self-reported ever STI-tested (n, row%) Age- and community-adjusted OR (95%CI) Final adjusted OR1 p-value
Age group
 15-19y 324 (41.3) 77 (23.8) 1 1 0.001
 20-24y 460 (58.7) 153 (33.3) 1.60 (1.21, 2.12) 1.60 (1.21, 2.12)
Current marital status
 Single–never married 458 (58.4) 95 (20.7) 1 1 <0.001
 Currently married &/or living with partner 314 (40.1) 131 (41.7) 2.53 (1.73, 3.71) 3.00 (2.06, 4.36)
 Currently married, living apart; Divorced, separated or widowed 12 (1.5) 4 (33.3) 1.99 (0.49, 8.05) 2.19 (0.57, 8.40)
Currently in school
 No 639 (81.5) 198 (31.0) 1 1 0.65
 Yes 145 (18.5) 32 (22.1) 0.73 (0.47, 1.12) 0.90 (0.58, 1.41)
Highest level of education attained
 None/(in)complete primary 127 (16.2) 40 (31.5) 1 1 <0.001
 Incomplete secondary 409 (52.2) 109 (26.7) 0.86 (0.61, 1.22) 1.04 (0.71, 1.52)
 Complete secondary/Higher 248 (31.6) 81 (32.7) 1.14 (0.73, 1.77) 1.84 (1.14, 2.97)
Currently employed
 No 619 (79.0) 190 (30.7) 1 1 0.19
 Yes 165 (21.0) 40 (24.2) 0.68 (0.46,1.01) 0.74 (0.47, 1.16)
In past 4 weeks, ever no food to eat in the household because of lack of resources
 No 492 (62.8) 126 (25.6) 1 1 0.03
 Yes 292 (37.2) 104 (35.6) 1.38 (1.03, 1.84) 1.39 (1.03, 1.88)
Wealth quintiles according to household assets
 1—Lowest 183 (23.3) 63 (34.4) 1 1 0.08
 2 188 (24.0) 52 (27.7) 0.80 (0.53, 1.21) 0.84 (0.55, 1.29)
 3—Middle 154 (19.6) 35 (22.7) 0.59 (0.39, 0.90) 0.63 (0.41, 0.97)
 4 124 (15.8) 36 (29.0) 0.86 (0.50, 1.46) 0.96 (0.57, 1.62)
 5—Highest 135 (17.2) 44 (32.6) 0.92 (0.63, 1.35) 1.05 (0.69, 1.58)
Ever given birth
 No 313 (40.3) 54 (17.3) 1 1 <0.001
 Yes 464 (59.7) 175 (37.7) 2.80 (1.84, 4.25) 2.54 (1.70, 3.78)
Lifetime number of sex partners
1 379 (48.3) 106 (28.0) 1 1 0.55
2 to 4 365 (46.6) 111 (30.4) 1.06 (0.77, 1.44) 1.17 (0.87, 1.58)
>5 40 (5.1) 13 (32.5) 1.00 (0.55, 1.84) 1.07 (0.61, 1.89)
Condom used at last sex
No 486 (62.1) 153 (31.5) 1 1 0.65
Yes 297 (37.9) 77 (25.9) 0.88 (0.56, 1.37) 1.12 (0.70, 1.78)
Had sex in the last 12 months
No 168 (21.5) 29 (17.3) 1 1 0.12
Yes 615 (78.5) 200 (32.5) 2.09 (1.33, 3.29) 1.47 (0.91, 2.38)
Number of sex partners in the past 12 months
1 559 (90.9) 187 (33.5) 1 1 0.09
2+ 56 (9.1) 13 (23.2) 0.58 (0.30, 1.09) 0.60 (0.33, 1.08)

OR = Odds ratio;

1. In adjusted analyses, further adjusted for marital status, educational attainment, currently employed, wealth quintile and availability of food in the household; with the exception of wealth quintile and availability of food in the household, which were not additionally adjusted for other variables (see Methods).

Sixty-one percent (61.3%, n = 439) of ABYM who reported ever having had sex were aged 20–24 at the time of the census; 91.0% (n = 653) were currently single and had never been married (Table 4). Forty-five percent (45.4%, n = 326) had completed secondary or higher education. Forty-three percent (43.0%, n = 308) reported 2–4 lifetime sexual partners, while 8.9% (n = 64) reported >10 lifetime sexual partners. Just over half reported condom use at last sex (53.0%, n = 380); among ABYM who reported sex in the last 12 months, over half (61.7%, n = 300) reported one sexual partner in the last 12 months.

Table 4. Factors associated with ever STI-testing among adolescent boys and young men self-reporting ever having had sex in the Yathu Yathu endline survey, 2021 (N = 717).

Characteristics (n, column %) and self-reported ever STI testing (n, row%) Age- and community-adjusted OR (95%CI)1 Final adjusted OR2 p-value
Age group
 15-19y 278 (38.7) 30 (10.8) 1 1 0.001
 20-24y 439 (61.3) 90 (20.5) 2.13 (1.36, 3.32) 2.13 (1.36, 3.32)
Current marital status
 Single–never married 653 (91.1) 107 (16.4) 1 1 0.49
 Currently married, living apart; Divorced, separated or widowed 64 (8.9) 13 (20.1) 0.99 (0.47, 2.12) 1.29 (0.62, 2.69)
Currently in school
 No 561 (78.2) 99 (17.7) 1 1 0.29
 Yes 156 (21.8) 21 (13.5) 0.92 (0.61, 1.40) 0.78 (0.49, 1.24)
Highest level of education attained
 None/incomplete primary or Complete primary 73 (10.2) 5 (6.9) 1 1 0.06
 Incomplete secondary 318 (44.4) 45 (14.2) 2.52 (0.90, 7.11) 2.55 (0.91, 7.10)
 Complete secondary/Higher 326 (45.4) 70 (21.5) 3.52 (1.21, 10.21) 3.35 (1.16, 9.66)
Currently employed
 No 363 (50.6) 54 (14.9) 1 1 0.34
 Yes 354 (49.4) 66 (18.6) 1.16 (0.77, 1.75) 1.22 (0.81, 1.83)
In past 4 weeks, ever no food to eat in the household because of lack of resources
 No 473 (66.0) 72 (15.2) 1 1 0.19
 Yes 244 (34.0) 48 (19.7) 1.29 (0.77, 2.16) 1.41 (0.84, 2.39)
Wealth quintiles according to household assets
 1 –Lowest 134 (18.8) 19 (14.2) 1 1 0.07
 2 156 (21.9) 30 (19.2) 1.62 (0.86, 3.07) 1.62 (0.86, 3.07)
 3 –Medium 122 (17.1) 16 (13.1) 1.05 (0.43, 2.61) 1.05 (0.43, 2.61)
 4 144 (20.2) 18 (12.5) 0.94 (0.45, 1.97) 0.94 (0.45, 1.97)
 5—Highest 158 (22.1) 36 (22.8) 1.84 (0.98, 3.47) 1.84 (0.98, 3.47)
Lifetime number of sex partners
1 198 (27.6) 19 (9.6) 1 1 0.18
2 to 4 308 (43.0) 55 (17.9) 1.93 (1.06, 3.49) 1.94 (1.03, 3.63)
5 to 9 147 (20.5) 31 (21.1) 2.07 (1.02, 4.19) 2.14 (1.00, 4.58)
10+ 64 (8.9) 15 (23.4) 2.10 (0.83, 5.31) 2.26 (0.82, 6.26)
Condom used at last sex
No 336 (46.9) 58 (17.3) 1 1 0.55
Yes 380 (53.1) 62 (16.3) 0.99 (0.62, 1.57) 0.87 (0.55, 1.38)
Had sex in the last 12 months
No 230 (32.1) 35 (15.2) 1 1 0.93
Yes 486 (67.9) 85 (17.5) 1.00 (0.66, 1.52) 0.98 (0.66, 1.47)
Number of sex partners in the past 12 months (N = 486)
1 300 (61.7) 37 (12.3) 1 1 <0.001
2 to 4 147 (30.3) 38 (25.9) 2.57 (1.68, 3.92) 2.54 (1.59, 4.07)
>5 39 (8.0) 10 (25.6) 1.98 (0.78, 5.02) 2.17 (0.78, 6.04)

OR = Odds ratio;

1. Also adjusted for study arm considering evidence of an effect among older men; In adjusted analyses, further adjusted for: Educational attainment and wealth index; with the exception of wealth index and food availability (see Methods).

Similar to AGYW, young men aged 20–24 were more likely to report ever STI-testing compared to adolescent boys (20.5%, n = 90/440 vs 10.8%, n = 30/278; adjOR = 2.13 95%CI 1.36, 3.32; p = 0.001). There was strong evidence that reporting more sex partners in the last 12 months (2 to 4: 25.9% n = 38/147 vs one: 12.3% n = 37/301; adjOR = 2.54 95%CI 1.59, 4.07; p<0.001) was associated with ever STI-testing. There was weak evidence of an association between higher levels of educational attainment (complete secondary/higher education: 21.5% n = 70/326 vs none/incomplete primary or complete primary education: 6.9% n = 5/73; adjOR = 3.35 95%CI 1.16, 9.66; p = 0.06) and ever-testing, and that ABYM residing in a household with higher relative wealth were more likely to report ever STI-testing than ABYM in lower wealth quintiles (highest (5): 22.8% n = 36/158 vs lowest (1): 14.2% 19/135; adjOR = 1.84 95%CI 0.98, 3.47; p = 0.07).

Discussion

We found no evidence that symptomatic STI screening offered through comprehensive, community-based, peer-led SRH services had an impact on self-reported uptake of STI testing services. Only a quarter of AYP who ever had sex self-reported ever STI-testing, with only one in ten reporting testing for an STI, other than HIV, in the previous 12 months. By sex, there was evidence of an effect on self-reported ever STI-testing among young men aged 20–24. Ever STI testing was higher among AGYW; among whom, being married and having ever given birth were associated with ever STI testing. Higher educational attainment was associated with ever STI-testing among all AYP. Only one in five ABYM ever STI-tested; among ABYM, but not AGYW, ever STI testing was associated with sexual behaviors.

Despite evidence of an impact on knowledge of HIV status [15], we found no evidence that Yathu Yathu increased uptake of STI testing overall. Importantly, STI testing and treatment were only available at the local health facility. This finding may reflect inaccessibility of STI services at the local health facility, due to waiting times, distances to health facilities, and lack of services that are acceptable to youth, as reported in other studies [20]. We did, however, observe an effect on ever STI testing among young men aged 20–24. In our primary outcome analysis, we found that Yathu Yathu had the greatest effect on knowledge of HIV status among adolescent boys [15]. These combined findings among ABYM may reflect their limited engagement with the formal health system. Health facilities are often considered “female spaces” due to their focus on maternal and child health, with AGYW more likely to attend for maternal health services and therefore be offered STI, including HIV, testing services [21]. These findings reinforce the need to deliver SRH services that are accessible and acceptable to ABYM in order to ensure equitable access to SRH services and achieve the Sustainable Development Goal target 3.7: universal coverage of SRH services [22,23].

Our findings reinforce the limitations of syndromic STI screening [24]; 6% of the over 7000 AYP screened reported experiencing any STI symptoms. The most common symptom at first STI screen was genital itching, particularly among AGYW, who are more likely to experience asymptomatic STIs and/or STI symptoms that are non-specific [25]. To improve the diagnosis of STIs among all AYP, there is a need for delivery of improved point-of-care diagnostics through integrated, community-based services [26]. In Zimbabwe, 33% of individuals attending integrated community-based SRH services for youth accepted point-of-care STI testing for chlamydia and gonorrhea, among whom 17% tested positive for chlamydia and/or gonorrhea [27]. In South Africa, a community-based mobile clinic delivering PrEP to AGYW found that almost 50% of AGYW who initiated PrEP tested positive for chlamydia and/or gonorrhea [28]. Due to financial constraints, Yathu Yathu could not offer point-of-care STI testing services; only 6% of AYP screened experienced STI-like symptoms and, in the endline survey, only 7% of AYP who ever STI-tested reported a positive STI test. Future iterations of the Yathu Yathu model of static, community-based and integrated SRH services delivered to youth by youth should ensure STI point-of-care (or near point-of-care) testing is available on site, particularly as these tests become available [26], to reach this priority population. The availability of incentives likely contributed to the relatively high number of AYP who opted for syndromic screening at the Yathu Yathu hubs; future iterations of the model should continue to offer incentives, including products to enhance dental and menstrual health [29]. In other countries and with other populations, outreach STI testing has proven acceptable to populations vulnerable to STIs [9,30].

Alongside the integration of point-of-care STI testing within healthcare services for AYP, services for youth should provide accurate information on STIs. Although youth in southern African countries with a high burden of HIV are exposed to HIV-related messaging and have comprehensive HIV knowledge [31], less information is provided on curable STIs [27]. Our risk factor analysis found that higher educational attainment was associated with higher levels of ever STI testing, similar to literature on uptake of HIV testing [32,33]. Furthermore, the role of condoms as the only currently available multi-purpose technology to prevent STI, including HIV, and unintended pregnancies should not be forgotten [34]. Among AYP in our study, just over one-third of AGYW and half of ABYM reported condom use at last sex; among AGYW, sexual behaviors were not associated with ever testing for an STI. Although for some AYP, the decision to use condoms may be driven by fertility desires and/or pleasure, and, for AGYW, may also reflect a reduced ability to negotiate condom use [35], for some, use may be informed by limited knowledge of the prevalence and consequences of symptomatic and asymptomatic STIs.

As expected, ever STI testing was higher among AGYW who reported ever giving birth. However, only 40% of AGYW who had ever given birth reported ever testing for an STI. With the prevalence of syphilis estimated at 3.4% in southern Africa [36], there remains a need to improve STI screening in ANC settings. Our risk factor analysis also found an association, among AGYW, between no food in the house in the past four weeks and ever STI-testing; similarly, there was evidence that AGYW residing in households with relatively less wealth were more likely to have ever STI tested. In population-based surveys conducted in six African countries, severe food insecurity, defined as having no food in the house more than three-times in the past month, was associated with an increased risk of HIV infection [37]. This increased risk was due, in part, to increased reliance on selling sex [37]. Although a tenuous link in our study, AGYW who experience food insecurity and have less household-level wealth may be more likely to engage in selling sex, to know their risk of, and therefore to test for, STIs. An analysis of a nationally representative survey of adults aged 15–44 in the USA demonstrated an association between food insecurity and STI risk indicators (including previous diagnosis of chlamydia or gonorrhea) [38]. Similarly, a survey of university students in South Africa found an association between food insecurity and engaging in transactional sex for “money” or “to meet basic needs” [39]. Addressing the growing epidemic of STIs requires not only provision of youth-friendly SRH services but broader recognition of and interventions to address the structural drivers of vulnerability to STIs.

This study is subject to limitations. Firstly, the data on history of STI testing are self-reported and are subject to error. However, most studies on HIV testing also rely on self-reported data, and so our study is not unique in this regard. Second, due to the cross-sectional nature of our data, in our risk factor analysis, we cannot be sure of the temporal relationship between the explanatory variables and ever STI testing. The timing of some of our explanatory variables may be more recent than ever testing, for example, food insecurity in the last four weeks. Nonetheless, our risk factor analysis is informative about the characteristics and behaviors of youth who have STI tested. Lastly, implementation of Yathu Yathu was disrupted by COVID-19 control measures. In the absence of these measures, uptake of STI testing services may have been higher. Despite limitations, our study includes a large number of AYP and provides rigorous and critical evidence regarding population-level STI testing, data that are currently lacking among this priority population. We consider our findings generalizable to other urban areas that similarly experience a high burden of HIV.

Conclusions

Syndromic STI screening through community-based SRH services led by youth had little impact on self-reported uptake of STI testing services. Few AYP in our study had ever or recently tested for STIs. There was, however, evidence of an impact on ever STI testing among young men, who remain underserved by available healthcare services. With a growing burden of STIs globally and AYP’s increased vulnerability to STIs, there is a need for population-level data on the burden of STIs among AYP to advocate for and inform interventions to reach AYP with STI services.

Supporting information

S1 Checklist. CONSORT checklist.

(DOCX)

pgph.0002491.s001.docx (33.6KB, docx)
S2 Checklist. Inclusivity in global research.

(DOCX)

pgph.0002491.s002.docx (66.7KB, docx)

Data Availability

Location of the data: LSHTM Data Compass: https://doi.org/10.17037/DATA.00003742.

Funding Statement

This research was jointly funded by the UK Medical Research Council (MRC) and the Foreign Commonwealth and Development Office (FCDO) under the MRC/FCDO Concordat agreement, together with the Department of Health and Social Care (DHSC) (grant number MR/R022216/1 to HA). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0002491.r001

Decision Letter 0

Joel Msafiri Francis

25 Oct 2023

PGPH-D-23-01825

Self-reported uptake of STI testing services among adolescents and young people aged 15-24 years: findings from the Yathu Yathu trial in Lusaka, Zambia

PLOS Global Public Health

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Reviewer #1: Yes

Reviewer #2: Yes

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Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

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Reviewer #1: This is an important addition to the literature on ST testing for AYP in Sub-Saharan Africa, focused on self-reported uptake amongst AGYW and ABYM in Zambia as part of the Yathu Yathu trial. The findings show low impact on self-reported uptake of STI testing amongst AYP in general with some effect amongst ABYM aged between 20 and 24. The study, described in detail in a previous publication, was co-designed and conducted with the involvement of AYP. Relatively high numbers of AYP presenting for syndromic STI screening was likely a result of the incentivisation process through the PPC. This influence might have been considered further in the Discussion section, particularly when the authors argued for structural interventions to address drivers of vulnerability to STIs amongst AYP. Similarly, the association between household poverty and STI exposure amongst AGYW might have been strengthened by the inclusion of evidence for what the authors themselves describe as 'a tenuous link'. However, other than these very small points, the paper is very well written and the analysis rigorously conducted and described. Overall the paper is ready for publication and I would recommend its acceptance.

Reviewer #2: General comments

1. It is not clear what it is that was offered to the adolescents and young people in the control arm, besides the prevention points cards that seemed to be offered to all participants. A clear description of the services in the control arm, which the participants accessed, preferably as part of routine care, should be provided.

2. The authors indicate the following study outcomes: “the percentage of AYP self-reporting ever testing for an STI, other than HIV, among AYP reporting ever having had sex, and the percentage of AYP self-reporting recently (last 12 months) testing for an STI among AYP reporting sex in the last 12 months”. I have 2 comments here:

a) Ever testing for STI could mean any testing done before the Yathu Yathu services became available in August 2019. How did the authors ensure that any testing referred to here was a result of the Yathu Yathu intervention? I thought that some of the variables used to assess the association with ever STI testing should have included exposure to the Yathu Yathu intervention, if the purpose was to link any STI testing to the intervention effect.

b) The authors collected data from two sources: the process data from the prevention point cards and the survey. How were the two data sources linked to ensure that the data were referring to the same person? For instance, how were the data collected through PPCs linked to the survey data to indicate that those who reported recent STI testing (in the last 12 months) had had access to STI services via Yathu Yathu?

c) In the main results, a logistic regression analysis is conducted for ever-STI testing. But the authors mention two different outcomes, including STI testing in the last 12 months. However, I did not any regression analysis for recent STI testing which to me would have been a more close measure of the impact of the intervention than ever-testing.

3. Since the Yathu Yathu was implemented as a CRT, the authors should include a CONSORT statement (extension to cluster randomized trials) as required in the reporting of such trials.

4. In general, I did not see how the data from PPCs (as one of the two data sources) were used to inform the reporting of results obtained through the endline survey (the second data source). For instance, I think that, based on data from PPCs, some 6.2% (n=679) of the participants reported any STI symptoms. Then, based on the results from the endline survey, unless I missed it, some 6.6% (n=23) reported ever having any STI symptoms. So, how did the authors use data from the PPCs and that from the endline survey during the reporting on the impact of Yathu Yathu on STI screening and testing among AYP? I think a response to these questions can help to justify if the two data sources were necessary.

Specific comments

1. Were the study communities divided into 10 or 20 zones? In the abstract, reference is made to 10 zones. However, on page 5 (study location and population), a total of 20 zones is used. Please clarify.

2. In the introduction section, the authors make a profound case for increases in STIs among adolescents aged 10-14 years, despite a general decrease in STIs among adolescents and young people (AYP) aged 10-24 years. However, their study recruited those aged 15-24 years. Why didn’t enroll the population group that is most at risk?

3. How did the authors define ‘STI screening’? How was it done?

4. How soon did the AYP go for STI testing after being screened with STI symptoms? Did the authors see any differences between arms? Did the authors find out if the AYP who tested positive for STIs (4.3% for syphilis and 0.9% for gonorrhea) sought treatment?

5. In the results section, the authors write: “At their first STI symptom screen, 7.7% (n=563) of AYP reported experiencing any STI symptom…” I am not sure I understand the denominator for this percentage, given that there is already a 6.2% (n=679) of AYP reporting symptoms. To improve this statement, the authors may revise thus: ‘… At their first STI symptom screening, 7.7% (n=563) of AYP who xxxx, reported experiencing any STI symptom”. This can help to qualify the 7.7% as a percentage derived from a defined sub-population.

6. In the results section, I suggest that the authors begin by describing the population studied (whose characteristics are shared in Table 1). At the moment, the results section begins with “Syndromic STI screening at Yathu Yathu services” – before the readers get to know the characteristics of the population studied.

7. Given differences in sexual behavior between adolescent boys and adolescent girls, I would present Table 1 stratified by sex (across study arms) so that we can see these differences between adolescent boys and girls by study arm across the different background characteristics.

8. In table 1, the authors should describe what the “wealth quintile” levels 1-5 stand for. A descriptor should be included. Besides, the term “wealth quintile” is used for a 3-tier arrangement. I don’t think it would be appropriate to refer to a 5-tier level with a “quintile”.

9. On page 9, the authors write, “Overall, 1989 AYP participated in the endline survey, among whom 75.7% (n=1505) reported ever having had sex and 1501 had complete data on testing for STIs”. It would be nice if the authors included a CONSORT diagram that displays how the final numbers in each arm that were used in the analysis (1501) were derived.

10. On page 11, the authors write, “Overall, 23.3% (n=350/1501) of AYP who ever had sex reported ever testing for an STI, other than HIV, and 13.5% (n=148/1099) of AYP who reported sex in the last 12 months also reported testing for an STI in the last 12 months”. This statement mixes two different results (i.e. ever STI testing in those who had ever had sex separately from those who had sex in the past 12 months, yet those who had sex in the past 12 months are part of those who have ever had sex) making interpretation of the statement a little difficult. I suggest that the authors separate it into two separate sentences:

a) Overall, 23.3% (350/1501) who ever had sex reported ever testing for an STI other than HIV; of these, xxx% (n=xxx) were sexually active in the past 12 months of whom xxx% (xxx/yyy) reported that they tested for STIs in the past 12 months.

b) Of 1,099 AYP who reported sex in the past 12 months, xxx% (xxx/yyy) reported having any STI symptoms; of these, xxx% (xxx/yyy) reported that they tested for STIs in the past 12 months; or something in this regard.

11. Page 14 begins, “Among those who ever tested for an STI, 6.6% (n=23) reported ever being diagnosed with an STI; five individuals did not know which STI they tested positively for.” It is not clear to me – which denominator was used to derive the reported 6.6%. I suggest that whenever sub-group analyses are reported, the authors should describe the population sub-group referred to and provide a denominator to help in qualifying the percentage.

12. About Table 3:

a) How did the authors ensure that the ever-STI testing was associated with the Yathu Yathu intervention? Why didn’t the authors determine the factors associated with recent STI testing, which was more likely to be associated with the intervention, given the timing?

b) Why did the authors opt to use odds ratios when the prevalence of the outcome was higher than 10%?

c) It is not clear if the results presented have been adjusted for clustering effect and exposure to the intervention.

d) These comments also apply to Table 4.

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Reviewer #1: No

Reviewer #2: No

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PLOS Glob Public Health. doi: 10.1371/journal.pgph.0002491.r003

Decision Letter 1

Joel Msafiri Francis

19 Dec 2023

Self-reported uptake of STI testing services among adolescents and young people aged 15-24 years: findings from the Yathu Yathu trial in Lusaka, Zambia

PGPH-D-23-01825R1

Dear Dr. Hensen,

We are pleased to inform you that your manuscript 'Self-reported uptake of STI testing services among adolescents and young people aged 15-24 years: findings from the Yathu Yathu trial in Lusaka, Zambia' has been provisionally accepted for publication in PLOS Global Public Health.

Before your manuscript can be formally accepted you will need to complete some formatting changes, which you will receive in a follow up email. A member of our team will be in touch with a set of requests.

Please note that your manuscript will not be scheduled for publication until you have made the required changes, so a swift response is appreciated.

IMPORTANT: The editorial review process is now complete. PLOS will only permit corrections to spelling, formatting or significant scientific errors from this point onwards. Requests for major changes, or any which affect the scientific understanding of your work, will cause delays to the publication date of your manuscript.

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Thank you again for supporting Open Access publishing; we are looking forward to publishing your work in PLOS Global Public Health.

Best regards,

Joel Msafiri Francis, MD, MS, PhD

Academic Editor

PLOS Global Public Health

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Reviewer Comments (if any, and for reference):

Associated Data

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

    Supplementary Materials

    S1 Checklist. CONSORT checklist.

    (DOCX)

    pgph.0002491.s001.docx (33.6KB, docx)
    S2 Checklist. Inclusivity in global research.

    (DOCX)

    pgph.0002491.s002.docx (66.7KB, docx)
    Attachment

    Submitted filename: Response_reviewer_comments_revised.docx

    pgph.0002491.s003.docx (42.2KB, docx)

    Data Availability Statement

    Location of the data: LSHTM Data Compass: https://doi.org/10.17037/DATA.00003742.


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