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Increased condom use among key populations using oral PrEP in Kenya: results from large scale programmatic surveillance

Abstract

Background

Female sex workers (FSW) and men having sex with men (MSM) in Kenya have high rates of HIV infection. Following a 2015 WHO recommendation, Kenya initiated national scale-up of pre-exposure prophylaxis (PrEP) for all persons at high-risk. Concerns have been raised about PrEP users' potential changes in sexual behaviors such adopting condomless sex and multiple partners as a result of perceived reduction in HIV risk, a phenomenon known as risk compensation. Increased condomless sex may lead to unintended pregnancies and sexually transmitted infections and has been described in research contexts but not in the programmatic setting. This study looks at changes in condom use among FSW and MSM on PrEP through a national a scale-up program.

Methods

Routine program data collected between February 2017 and December 2019 were used to assess changes in condom use during the first three months of PrEP in 80 health facilities supported by a scale-up project, Jilinde. The primary outcome was self-reported condom use. Analyses were conducted separately for FSW and for MSM. Log-Binomial Regression with Generalized Estimating Equations was used to compare the incidence proportion (“risk”) of consistent condom use at the month 1, and month 3 visits relative to the initiation visit.

Results

At initiation, 69% of FSW and 65% of MSM reported consistent condom use. At month 3, this rose to 87% for FSW and 91% for MSM. MSM were 24% more likely to report consistent condom use at month 1 (Relative Risk [RR], 1.24, 95% Confidence Interval [CI], 1.18–1.30) and 40% more likely at month 3 (RR, 1.40, 95% CI, 1.33–1.47) compared to at initiation. FSW were 15% more likely to report consistent condom use at the month one visit (RR, 1.15, 95% CI, 1.13–1.17) and 27% more likely to report condom use on the month 3 visit (RR 1.27, 95% CI, 1.24–1.29).

Conclusion

Condom use increased substantially among both FSW and MSM. This may be because oral PrEP was provided as part of a combination prevention strategy that included counseling and condoms but could also be due to the low retention rates among those who initiated.

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Background

Following the 2015 World Health Organization (WHO) recommendation [1], the use of oral pre-exposure prophylaxis (PrEP) for HIV prevention is expanding in sub-Saharan Africa. In 2016, the Kenya National AIDS and STI Control Program recommended that people at risk of HIV infection should be provided oral PrEP [2]. Following the recommendations, oral PrEP is offered, and is available to all persons at substantial ongoing risk of HIV infection as part of a package of combination prevention. This includes both the general population and key populations (sex workers, men having sex with men, transgender individuals and people who inject drugs). National scale-up of PrEP began in 2017 [3]; by 2021, PrEP was available in 900 health facilities in Kenya and over 36,000 individuals had initiated PrEP [4].

In Kenya, the estimated prevalence of HIV in 2018 among Female sex workers (FSW) was 29.3 per cent and 18.1 per cent among men having sex with men (MSM), [5] while the prevalence in the general population was 4.9% [5, 6]. Not only is the HIV prevalence among FSW and MSM high, the incidence in both of these populations is also high. In a cohort of MSM in Mombasa, the incidence of HIV was 8 times higher than recorded in the general population for the same period [7, 8]. The last Kenya Modes of Transmission Study conducted by the National AIDS Control Council in 2009, through mathematical modelling, estimated that almost 33% of all recently-acquired HIV infections were attributed to FSW, MSM and people who inject drugs [9]. In Kenya, HIV prevalence in MSM and FSW is associated with older age, lower level of education, having a live-in partner and excessive use of alcohol and recreational drugs [7]. To date, increasing access to services and reducing new HIV infection among FSW and MSM remains a key priority in the fight against HIV [10, 11]. Current interventions are hinged on a peer-led strategy with a balanced focus of biomedical, behavioural and structural interventions [12, 13]. Oral PrEP is provided as part of a combination prevention package [13]. Clinical services to FSW and MSM are provided largely through community-led drop-in centers and outreaches [14].

There are concerns about the possibility of reduced condom use as part of risk compensation (adopting behaviors such as condom less vaginal or anal sex, or multiple sexual partners based on the assumption of protection against HIV) [15, 16]. When used consistently, PrEP reduces an individual's risk of HIV infection by more than 90% [17, 18]. Reduced condom use following PrEP initiation, on the other hand, may increase the risk of unintended pregnancies and other sexually transmitted infections (STIs), both of which are public health priorities. FSW in Kenya, for example, have high rates of unintended pregnancy, low uptake of highly effective contraception, and low rates of dual method use among those seeking to avoid pregnancy [19].

For MSM, findings on changes in condom use vary: a PrEP clinical trial in six countries (Peru, Ecuador, South Africa, Brazil, Thailand, and the USA) reported decreases in condomless sex among those on PrEP [20]. Similarly, follow-up of an MSM cohort previously enrolled in a clinical trial, and an observational study, both in the USA reported decreased condomless sex during one year [21, 22]. In contrast, a systematic review and meta-analysis of 16 observational studies and one open-label trial reported increased condomless sex among MSM on PrEP [23]. For FSW, demonstration projects in Benin, Senegal and South Africa all reported decreases in condomless sex among those on PrEP [24,25,26]. The same was reported in an observational study in Benin [27].

These research studies report varying changes in condom use among PrEP users. However, less is known about changes in condom use in large scale programs. In the latter settings, PrEP is provided to thousands of people through routine health services. It is anticipated that many people may initiate PrEP due to the widespread availability, and if adherence and risk reduction counselling is inadequate as a result of limited resources, sexual behavior may change, including an increase in condom less sex. Many countries in Africa are transitioning from PrEP demonstration studies to national scale-up. As such, there is need for data on changes in sexual behavior, including condom use, especially among groups such as FSW and MSM who are a key target for most national scale-up programs and who already have high rates of unintended pregnancy and STIs. To this end, we examined changes in self-reported condom use among FSW and MSM using oral PrEP in a national scale-up project in Kenya, between February 2017 and December 2019. We hypothesized that condomless sex would not increase in as much as this is one of the largest oral PrEP scale-up programs in Africa because PrEP is provided as part of a comprehensive combination prevention strategy as recommended by the National AIDS and STI Control Program.

Methods

Setting, subjects and service delivery models

We used routine program data to assess changes in condom use during the first three months of PrEP, based on medical records of FSW and MSM who received oral PrEP in health facilities supported by a Bridge-to-scale project, Jilinde, in 10 counties in Kenya (Mombasa, Kilifi, Kwale, Taita Taveta, Nairobi, Kiambu, Machakos, Kisumu, Migori and Kisii).

Jilinde is a five-year project in Kenya implemented from July 2016 to September 2021, in close collaboration with the Ministry of Health to catalyze PrEP scale-up for FSW, MSM, adolescent girls and young women. PrEP is provided through public, private health facilities, and specialized clinics (drop-in centers) for FSW and MSM. In all health facilities, PrEP is provided as part of a combination prevention package, as outlined in Kenya’s National AIDS and STI Control Program guidelines for HIV/STI programming for key populations, and the National antiretroviral treatment Guidelines [2, 13]. FSW and MSM receive peer education on HIV and STI from trained peer educators (fellow FSW and MSM). Peer educators also distribute condoms, lubricants and information materials, then refer fellow MSM and FSW for clinical services to Jilinde-supported facilities. This model for FSW and MSM comprehensive services has been described elsewhere [13]. The PrEP cascade for all population groups on PrEP through Jilinde, which illustrates the process of receiving services from the initial HIV testing, risk screening, initiation and continuation, and identifies gaps at each of these steps, have been presented elsewhere [28].

Clinical services are standard across Jilinde-supported sites but most FSW and MSM prefer to receive services through drop-in centers because, in addition to health services, the centers have a dedicated "safe space" for social interaction. At all Jilinde-supported facilities, health providers (HTS counsellors, nurses and clinical officers) provide individual-centered risk-reduction assessment, counselling and testing for HIV. HIV-negative clients undergo behavioural risk screening using a standard national tool, the Risk Assessment Screening Tool, administered by the service providers. Clients who screen positive, or who request oral PrEP undergo a clinical assessment, and are started on PrEP, if eligible. Clients on PrEP attend routine follow-up visits every month. Risk assessment, including assessment for condom use, is carried out during each visit by clinicians. HIV testing is done at initiation, at month 1, month 3 and every third months thereafter, as per national guidelines [2].

Data sources and data management

We analysed individual client data from the initiation and the first three months visit from 80 health facilities (33 DICs, 38 public and 9 private facilities). We included data for all FSW and MSM who started oral PrEP between February 2017 and December 2019. During this period, Jilinde supported 89 health facilities in 10 counties, 80 of which provided services to FSW and/or MSM and are included in the study.

Routine program data were collected using standardized Ministry of Health tools. Data on HIV testing and PrEP screening was entered into national HIV testing services registers. Data on PrEP initiation and follow-up was entered on PrEP encounter forms. After the health care providers entered the data onto the physical forms, the data from the PrEP encounter forms were entered into an encrypted soft copy database (Jilinde Data System). Each clinical site submitted a monthly site-level report. PrEP data was also entered into the Kenya Health Information System. Monthly data verification and quarterly data quality audits were conducted to ensure data quality.

As part of the routine service delivery risk assessment at the PrEP initiation visit and during follow-up visits, health care providers asked clients about their condom use. As per the questionnaire, clients were asked if they had “inconsistent or no condom use” in all sexual encounters with each sexual partner in the past 30 days. This was recorded as either yes (to inconsistent or no condom use at some point or at all times) or no (consistent condom use).

Statistical analysis

The primary outcome was self-reported condom use, which was modelled as a binary variable (yes or no). “Yes” meant that the participant had had condomless sex at any time in the preceding month while “No” meant that the participant had used condoms consistently. The primary predictor variable was time point on oral PrEP (Initiation visit (month 0), month 1 visit, and month 3 visit). Analyses were conducted separately for FSW and for MSM. We used a log-binomial regression analysis to compare the incidence proportion (“risk”) of consistent condom use at the month 1, and month 3 visits relative to the initiation visit, and to generate relative risk (RR). Generalized estimating equations (GEE) were used to account for repeated measurements of consistent condom use. We also estimated association between condom use at any time point and other predictors of condom use within this population. Predictors in the Bivariable analyses were selected a priori, based on existing evidence. These included age, marital status, previous history of a STI, and sex under influence of alcohol and drugs. Variables associated with condom use at p values of less than 0.05 in bivariable analysis were included in the final multivariable models.

Ethical oversight

This study was approved by the Kenya Medical Research Institute Scientific Ethics Review Unit (SERU) (approval number Non-KEMRI 601). The John Hopkins Bloomberg School of Public Health issued a non-human subjects’ research determination for the study (IRB No: 000083467).

Results

Baseline social and demographic characteristics

Between February 2017 and December 2019, 17,758 FSW and 4,849 MSM were initiated on PrEP at 80 Jilinde-supported health facilities. Of those initiated, 22% of the FSW (n = 3,791) and 17% of MSM (n = 822) revisited the sites to receive PrEP refills and for HIV testing for at least three months. The Jilinde PrEP cascade has been described in detail elsewhere [28]. About 95% of the FSW (n = 3950) and 97% of the MSM (n = 795) received PrEP at drop-in centers. The social and demographic characteristics at PrEP initiation for FSW and MSM included in this analysis are summarized in Table I. The median age was 28 years for FSW (interquartile range [IQR], 23–32 years) and 24 years for MSM (IQR, 21–29 years). About 3% of both FSW (n = 95) and MSM (n = 22) lived with a partner who was HIV positive. About 79% of FSW (n = 2,985) and 83% of MSM (n = 682) had a sexual partner whose HIV status was unknown to them and who they considered to be at a high risk of acquiring HIV. Additionally, 6% of FSW (n = 236) and 7% of MSM (n = 56) reported a recent history (in the past six months) of a sexually transmitted infection.

Table 1 Baseline Social, Demographic, and sexual Characteristics of female sex workers (n = 3,791) and men having sex with men (n = 822) who completed at least three months of PrEP

Condom use among FSW

At PrEP initiation, 69% of FSW who were included in the analyses (n = 2621) reported consistent condom use. Among those who did not continue with PrEP up to the month 3 visit and were not included in the analysis, 67% (n = 9276) reported using condoms consistently. In the population included in the analysis, the proportion increased to 80% on the month 1 visit and to 87% on the month 3 visit. In comparison to PrEP initiation, FSW were 15% more likely to report consistent condom use at the month one visit (Relative Risk [RR], 1.15, 95% Confidence Interval [CI] 1.13–1.17) and 27% more likely to report condom use on the month 3 visit (RR 1.27, 95% CI, 1.24–1.29). Fig. 1 shows the change in self-reported condom use during the first three months of PrEP for both FSW and MSM.

Fig. 1
figure 1

Condom use among FSW and MSM from initiation of PrEP to Month Three 

Older FSW were more likely to report condom use at any PrEP visit; FSW aged 31 years and above were 9% more likely to report condom use compared to those aged 20 years and below (RR, 1.09, 95% CI, 1.04–1.14). Similarly, FSW with a live-in partner (those who were married or cohabiting) were more likely to report condom use compared to those who did not have a live-in partner (RR, 1.08, 95% CI, 1.05–1.12). FSW who received services at the DIC were also more likely to report condom use compared to those who received services at private and public health facilities (RR, 1.43, 95% CI, 1.30–1.58). On the contrary, FSW who reported a recent history of a STI in the previous six months and those who reported engaging in sex while under the influence of alcohol and recreational drugs were less likely to report condom use (RR, 0.89, 95% CI, 0.84–0.94 and RR, 0.90, 95% CI, 0.87–0.92 respectively). In multivariable analyses, condom use at the month three visit was still greater than at PrEP initiation (ARR, 1.26, 95% CI, and 1.23–1.28). Table 2 presents bivariable and multivariable analyses of factors associated with reporting condom use during the first three months of oral PrEP for MSM.

Table 2 Characteristics Associated with Self-Reported Condom Use among Female Sex Workers Who Completed at Least Three Months of oral PrEP (n = 3791)

Condom use among MSM

During the PrEP initiation visit, 65% of MSM (n = 531) who were included in these analyses reported consistently using condoms in the previous month. When we compared them to the MSM who did not come for the month 3 visit and were not included in the analysis, 77% (n = 3105) used condoms consistently at PrEP initiation. The proportion of MSM who used condoms consistently increased to 80% on the month 1 visit and to 91% on the month 3 visit. MSM were 24% more likely to report using condoms consistently on the month 1 visit (RR, 1.24, 95% CI, 1.18–1.30) and 40% more likely at the month 3 visit (RR, 1.40, 95% CI, 1.33–1.47) compared to the PrEP initiation visit.

MSM who were between 21 and 24 years and those between 25 and 30 years were less likely to report using condoms compared to those aged 20 years and below, who were the reference category (RR, 0.93, 95% CI, 0.88–098 and RR, 0.88, 0.82–0.94 respectively). Similarly, MSM who reported engaging in sex while under the influence of alcohol and drugs were 13% less likely to report using condoms than those who did not (RR, 0.87, 95% CI 0.83–0.92). There was, however, no association between condoms use and being married or cohabiting (RR, 1.04, 0.98–1.12), reporting a recent history of a STI (RR, 1.00, 95% CI, 0.92–1.08), and receiving services at DICs (RR, 1.02, 95% CI, 0.86–1.22). In multivariable analysis, condom use was still significantly higher at the month 3 visit compared to the PrEP initiation visit (ARR, 95% CI, 1.33–1.47). Table 3 presents bivariable and multivariable analyses of factors associated with reporting condom use during the first three months of oral PrEP for MSM.

Table 3 Characteristics Associated with Self-Reported Condom Use among Men Having Sex with Men who Completed at Least Three Months of Oral PrEP (n = 822)

Discussion

We describe self-reported condom use from the initiation visit to three months of PrEP use for FSW and MSM receiving PrEP through routine health services in Kenya. To the best of our knowledge, this paper is the first in SSA to explore condom use among new users of oral PrEP in the programmatic setting for KP. At the month 3 visit, the proportion of FSW who reported using condoms consistently increased by 18 percentage points and that of MSM by 26 percentage points.

The findings of increased self-reported condom use reported here are consistent with PrEP demonstration projects for FSW and MSM in other parts of Africa [24, 25]. These findings suggest that even in the setting of providing PrEP through routine health care services as part of national scale-up, FSW and MSM did not reduce their use of condoms.

Increased use of condoms in both FSW and MSM may be explained by the extensive risk-reduction counseling that PrEP clients receive at initiation and during each follow-up visit, coupled with the widespread availability of condoms to FSW and MSM through the national programme. These findings suggest that routine use of PrEP will not result in reduced condom use as part of risk compensation among MSM and FSW, especially when service providers offering PrEP through routine, non-research settings are adequately trained and supported, and when PrEP is offered as part of a combination prevention package supported by robust national systems, including adequate access to condoms, as was the case in Jilinde. Secondly, a cross-sectional survey among FSW and MSM at PrEP facilities in South Africa reported high condom use (80% at the last time of sexual intercourse) among current PrEP users, and low condom use among those who discontinued PrEP [29]. This may imply that FSW and MSM who continue to use PrEP in non-research settings have innately strong reasons to continue and adhere to condoms and other HIV preventive strategies. As a result, condom use reduction is less likely in this population, and instead, greater focus should be directed to those who commence and quit PrEP. This is supported by further analyses that looked at changes in condom use among a larger population of FSW (8628) and MSM (2285) who were on oral PrEP at month one (Table 1 and Table 2 respectively in the Supplementary file). Both tables show that condom use still increased among all FSW and MSM who were on PrEP at the end of month 1. A third explanation for increased condom use may be because taking an antiviral pill on a daily basis serves as a daily reminder of the risk of HIV, particularly for persons who already have higher risks of acquiring HIV such as FSW and MSM. Consistent reminders of ongoing risk have been demonstrated to increase sex planning and positively modify sexual behavior including using condoms more and having less partners [30]. However, it is also possible that the reported increase in condom use is due to a social desirability bias, especially given that data on condom use was collected via a clinical form completed by the clinician during each visit. FSW and MSM may report that they use condoms because they do not want to disappoint the clinician or interviewer, or because they are afraid that PrEP may be withheld if they report that they do not use condoms. Such desirability bias have been reported in studies where there are significant differences between self-reported condom use and biomedical markers of condomless sex like prostatic-specific antigen (PSA) and Y-chromosome detection [25].

The rates in condom use reported at the PrEP initiation visit in both MSM and FSW were not markedly different from those observed from routine, monthly-collected program monitoring data by implementing partners in Kenya and through periodic surveys conducted by the National AIDS and STD Control Program. Kenya’s 2018 data estimates that 92% of FSW and 77% of MSM used condoms at the last sexual intercourse and 73% of FSW and 69% of MSM used condoms consistently in the last month [31, 32]. Both our data and the national data demonstrate that in general, consistent condom use among FSW and MSM in Kenya is higher than that reported for other countries in Africa [33,34,35,36]. Similarly, condom use among FSW and MSM is higher compared to use among HIV discordant couples and the general population in Kenya [5, 37]. Programs providing services to FSW and MSM are coordinated by the National AIDS and STI Control Program which routinely collects data on FSW and MSM services and outcomes in order to respond to emerging needs. Condoms and lubricants are distributed to FSW and MSM free of charge through peer educators and at the drop-in centers. In 2018, almost 90% of FSW and 80% of MSM were served by a peer educator and 74% of FSW and 68% of MSM visited the drop-in centers at least once every three months [32]. Having a dedicated national program for FSW and MSM and integrating PrEP for FSW and MSM through such programs likely optimizes oral PrEP outcomes by building synergy with other HIV prevention interventions such as peer education. Further, in addition to the biomedical effect of PrEP in reducing new infections, providing PrEP to FSW and MSM through such programs may increase their engagement with complimentary services [21].

Our findings are subject to several limitations. First, condom use was self-reported and could be subject to social desirability bias as discussed above. Secondly, we used clinic service data from routine program implementation and our data was not drawn from a research study designed to respond to the question of condom use among PrEP users. As such, data on important predictors of condom use such as such as urban/rural living, education level, awareness of partner's HIV status, pregnancy desire for FSW's, and receptiveness/assertiveness for MSM's was not available because it is not part of routinely collected data. Studies also have strict controls on protocols and data management which is not available for program data. However, we believe that the routine quality assessments provided adequate checks to ensure data accuracy. Third, our data is limited to the first three months of PrEP and we may not be able to extrapolate or describe trends thereafter. Finally, our study population comprised of FSW and MSM who initiated PrEP and continued taking PrEP for three months. This population could be considered self-selective as only 22% of FSW and 17% of MSM continued taking PrEP up to the third month, and there may be significant differences in risk-compensation between those who continued with PrEP and those who did not. We however did not have data on condom use at subsequent months for FSW and MSM who discontinued PrEP.

Despite the limitations, our study presents important information on early changes in condom use among FSW and MSM on oral PrEP during scale-up. As indicated, this may be the first presentation on potential changes in condom use among FSW and MSM receiving PrEP during national roll-out in a resource-limited setting. From the perspective of a policy planner, the fact that we used patient record data collected through routine clinical services and our participants received standard care could also be considered a strength. These findings therefore present the most accurate case scenario of what would be expected during PrEP scale-up for key populations in other parts of Africa.

Conclusion

In conclusion, the findings from this programmatic evaluation suggest that risk compensation did not occur in the first 3 months of PrEP use among FSW and MSM in Kenya in the context of routine provision of care. However, there is need for more long-term follow-up data to observe changes beyond three months as PrEP normalizes as a HIV prevention intervention.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

CI:

Confidence Interval

DIC:

Drop-in centre

FSW:

Female sex workers

HTS:

HIV testing services

IQR:

Interquartile Range

KEMRI:

Kenya Medical Research Institute

KHIS:

Kenya Health Information system

KP:

Key populations

MoH:

Ministry of Health

MSM:

Men having sex with men

NASCOP:

National AIDS and STI Control Program

PrEP:

Pre exposure prophylaxis

PSA:

Prostate Specific Antigen

RAST:

Risk Assessment Screening Tool

RR:

Relative Risk

SERU:

Science and Ethics Unit

References

  1. World Health Organization. WHO expands recommendation on oral pre-exposure prophylaxis of HIV infection (PrEP). Geneva: World Health Organization; 2015.

    Google Scholar 

  2. National AIDS and STI Control Program. Guidelines on the use of antiretroviral treatment for treating and preventing HIV infection in Kenya. 2016.

    Google Scholar 

  3. Ministry of Health. Framework for the implementation of pre-exposure prophylaxis of HIV in Kenya. 2017. p. 1–84.

    Google Scholar 

  4. Masyuko S, Mukui I, Njathi O, et al. Pre-exposure prophylaxis rollout in a national public sector program: The Kenyan case study. Sex Health. 2018;15(6):578.

    Article  Google Scholar 

  5. Kenyan Ministry of Health/National AIDS Control Council. Kenya AIDS progress report, vol. 2018. 2018. p. 81.

    Google Scholar 

  6. Kenyan Ministry of Health. National AIDS and STI control program. Kenya AIDS indicator survey 2007. 2007.

    Google Scholar 

  7. Sanders EJ, Graham SM, Okuku HS, et al. HIV-1 infection in high risk men who have sex with men in Mombasa. Kenya AIDS. 2007;21(18):2513–20.

    Article  Google Scholar 

  8. Sanders EJ, Okuku HS, Smith AD, et al. High HIV-1 incidence, correlates of HIV-1 acquisition, and high viral loads following seroconversion among men who have sex with men in Coastal Kenya. AIDS. 2013;27(3):437.

    Article  Google Scholar 

  9. Gelmon L, Kenya P, Oguya F, Cheluget B, Haile G, Kenya ministry of health. Kenya: HIV prevention response and modes of transmission analysis. Nairobi: Kenya Natl AIDS Control Counc; 2009. p. 83.

  10. Kenya, (Kenya) NACC. Kenya national AIDS strategic plan, 2009/10–2012/13. Vol. 2. Nairobi: National AIDS Control Council; 2009.

  11. (NACC) NACC. Kenya AIDS strategic framework 2014/2015‐2018/2019. Kenya: Ministry of Health Nairobi; 2014.

    Google Scholar 

  12. Bhattacharjee P, Musyoki H, Prakash R, Malaba S, Dallabetta G, Wheeler T, et al. Micro-planning at scale with key populations in Kenya: optimising peer educator ratios for programme outreach and HIV/STI service utilisation. PLoS One. 2018;13(11):e0205056.

    Article  Google Scholar 

  13. National AIDS and STI Control Program (NASCOP). National guidelines for HIV/STI programming for with key populations. Nairobi: National guidelines for HIV/STI programming with key populations; 2014.

    Google Scholar 

  14. Musyoki H, Bhattacharjee P, Blanchard AK, Kioko J, Kaosa S, Anthony J, et al. Changes in HIV prevention programme outcomes among key populations in Kenya: data from periodic surveys. PLoS One. 2018;13(9):e0203784–e0203784.

    Article  Google Scholar 

  15. Cassell MM, Halperin DT, Shelton JD, Stanton D. Risk compensation: the Achilles’ heel of innovations in HIV prevention? BMJ. 2006;332(7541):605–7. Available from: https://pubmed.ncbi.nlm.nih.gov/16528088.

    Article  Google Scholar 

  16. Liu AY, Grant RM, Buchbinder SP. Preexposure prophylaxis for HIV: unproven promise and potential pitfalls. JAMA. 2006;296(7):863–5.

    Article  CAS  Google Scholar 

  17. Grant RM, Anderson PL, McMahan V, Liu A, et al. Uptake of pre-exposure prophylaxis, sexual practices, and HIV incidence in men and transgender women who have sex with men: a cohort study. Lancet Infect Dis. 2014;14(9):820–9. https://doi.org/10.1016/S1473-3099(14)70847-3 Epub 2014 Jul 22. PMID: 25065857; PMCID.

    Article  PubMed  PubMed Central  Google Scholar 

  18. McCormack S, Dunn DT, Desai M, Dolling DI, et al. Pre-exposure prophylaxis to prevent the acquisition of HIV-1 infection (PROUD): effectiveness results from the pilot phase of a pragmatic open-label randomised trial. Lancet. 2016;387(10013):53–60 PMCID: PMC4700047.

    Article  Google Scholar 

  19. Luchters S, Bosire W, Feng A, et al. “A baby was an added burden”: predictors and consequences of unintended pregnancies for female sex workers in Mombasa, Kenya: a mixed-methods study. PLoS One. 2016;11(9):e0162871. https://doi.org/10.1371/journal.pone.0162871.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Grant RM, Lama JR, Anderson PL, McMahan V, Liu AY, Vargas L, et al. Preexposure chemoprophylaxis for HIV prevention in men who have sex with men. N Engl J Med. 2010;363(27):2587–99. Available from: https://pubmed.ncbi.nlm.nih.gov/21091279.

    Article  CAS  Google Scholar 

  21. Grant RM, Anderson PL, McMahan V, Liu A, Amico KR, Mehrotra M, et al. Uptake of pre-exposure prophylaxis, sexual practices, and HIV incidence in men and transgender women who have sex with men: a cohort study. Lancet Infect Dis. 2014;14(9):820–9. Available from: https://pubmed.ncbi.nlm.nih.gov/25065857.

    Article  Google Scholar 

  22. Hightow-Weidman LB, Magnus M, Beauchamp G, Hurt CB, Shoptaw S, Emel L, et al. Incidence and correlates of sexually transmitted infections among black men who have sex with men participating in the HIV prevention trials network 073 preexposure prophylaxis study. Clin Infect Dis. 2019;69(9):1597–604.

    Article  Google Scholar 

  23. Traeger MW, Schroeder SE, Wright EJ, Hellard ME, Cornelisse VJ, Doyle JS, et al. Effects of pre-exposure prophylaxis for the prevention of human immunodeficiency virus infection on sexual risk behavior in men who have sex with men: a systematic review and Meta-analysis. Clin Infect Dis. 2018;67(5):676–86.

    Article  Google Scholar 

  24. Giguère K, Béhanzin L, Guédou FA, Talbot D, Leblond FA, Goma-Matsétsé E, et al. PrEP use among female sex workers: no evidence for risk compensation. J Acquir Immune Defic Syndr. 2019;82(3):257–64.

    Article  Google Scholar 

  25. Roberts DA, Hawes SE, Bousso Bao MD, Ndiaye AJ, Gueye D, Raugi DN, et al. Trends in reported sexual behavior and y-chromosomal DNA detection among female sex workers in the senegal preexposure prophylaxis demonstration project. Sex Transm Dis. 2020;47(5):314–20.

    Article  Google Scholar 

  26. Mboup A, Béhanzin L, Guédou FA, Geraldo N, Goma-Matsétsé E, Giguère K, et al. Early antiretroviral therapy and daily pre-exposure prophylaxis for HIV prevention among female sex workers in Cotonou, Benin: a prospective observational demonstration study. J Int AIDS Soc. 2018;21(11):e25208–e25208. Available from: https://pubmed.ncbi.nlm.nih.gov/31291057.

    Article  Google Scholar 

  27. Eakle R, Gomez GB, Naicker N, Bothma R, Mbogua J, Cabrera Escobar MA, et al. HIV pre-exposure prophylaxis and early antiretroviral treatment among female sex workers in South Africa: results from a prospective observational demonstration project. PLoS Med. 2017;14(11):1–17.

    Article  Google Scholar 

  28. Were D, Musau A, Mutegi J, Ongwen P, Manguro G, Kamau M, et al. Using a HIV prevention cascade for identifying missed opportunities in PrEP delivery in Kenya: results from a programmatic surveillance study. J Int AIDS Soc. 2020;23 Suppl 3(Suppl 3):e25537.

    PubMed  Google Scholar 

  29. Pillay D, Stankevitz K, Lanham M, Ridgeway K, Murire M, Briedenhann E, et al. Factors influencing uptake, continuation, and discontinuation of oral PrEP among clients at sex worker and MSM facilities in South Africa. PLoS One. 2020;15(4):e0228620–e0228620. Available from: https://pubmed.ncbi.nlm.nih.gov/32352969.

    Article  CAS  Google Scholar 

  30. van Griensven F, Thienkrua W, Sukwicha W, Wimonsate W, Chaikummao S, Varangrat A, et al. Sex frequency and sex planning among men who have sex with men in Bangkok, Thailand: implications for pre- and post-exposure prophylaxis against HIV infection. J Int AIDS Soc. 2010;13:13.

    Article  Google Scholar 

  31. Bhattacharjee P, Musyoki HK, Becker M, Musimbi J, Kaosa S, Kioko J, et al. HIV prevention programme cascades: insights from HIV programme monitoring for female sex workers in Kenya. J Int AIDS Soc. 2019;22(S4):e25311.

    Article  Google Scholar 

  32. National AIDS & STI Control Programme M of H. Third national behavioural assessment of key populations in Kenya: polling booth survey report. 2018. (September).

    Google Scholar 

  33. Workie HM, Kassie TW, Hailegiyorgis TT. Knowledge, risk perception, and condom utilization pattern among female sex workers in Dire Dawa, Eastern Ethiopia 2016: a cross-sectional study. Pan Afr Med J. 2019;16(32):185. Available from: https://pubmed.ncbi.nlm.nih.gov/31497185.

    Google Scholar 

  34. Coetzee J, Jewkes R, Gray GE. Cross-sectional study of female sex workers in Soweto, South Africa: factors associated with HIV infection. PLoS One. 2017;12(10):e0184775–e0184775.

    Article  Google Scholar 

  35. Eluwa GI, Strathdee SA, Adebajo SB, Ahonsi B, Azeez A, Anyanti J. Sexual risk behaviors and HIV among female sex workers in Nigeria. J Acquir Immune Defic Syndr. 2012;61(4):507–14.

    Article  Google Scholar 

  36. Park JN, Papworth E, Kassegne S, Moukam L, Billong SC, Macauley I, et al. HIV prevalence and factors associated with HIV infection among men who have sex with men in Cameroon. J Int AIDS Soc. 2013;16 Suppl 3(4Suppl 3):18752. Available from: https://pubmed.ncbi.nlm.nih.gov/24321114.

    Article  Google Scholar 

  37. Headley J, Lemons A, Corneli A, Agot K, Ahmed K, Wang M, et al. The sexual risk context among the FEM-PrEP study population in Bondo, Kenya and Pretoria, South Africa. PLoS One. 2014;9(9):e106410–e106410. Available from: https://pubmed.ncbi.nlm.nih.gov/25229403.

    Article  Google Scholar 

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Acknowledgements

The authors would like to acknowledge all FSW and MSM who received oral PrEP through Jilinde and who contributed data towards this analysis. The authors are also grateful to the Jilinde program team and service providers in Jilinde-supported health facilities.

Funding

The Jilinde Project is funded by the Bill & Melinda Gates Foundation Investment Number INV-007340.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Dataset preparation was performed by BW. Data analysis was performed by GOM and AMM. The first draft was written by GOM, AMM, DKW and ST with input from JR and MP. PG, SL and MT reviewed the first draft of the manuscript, gave input and made revisions on the study design, data analysis and on the overall writing. All authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Griffins O. Manguro.

Ethics declarations

Ethics approval and consent to participate

Ethical approval for this secondary analysis of routine clinical data for this study was covered in the ethical approval for the parent study. Data for this study was from the Jilinde Program data system. No administrative permission was required to access the datasets for this study.

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Not applicable

Competing interests

The authors declare no competing interests.

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Supplementary Information

Additional file 1.

 Further analysis.

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Manguro, G.O., Musau, A.M., Were, D.K. et al. Increased condom use among key populations using oral PrEP in Kenya: results from large scale programmatic surveillance. BMC Public Health 22, 304 (2022). https://doi.org/10.1186/s12889-022-12639-6

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