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Factors associated with retention on pre-exposure prophylaxis among female sex workers in Kigali, Rwanda

  • Sezi Mubezi ,

    Roles Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    setsmush@gmail.com

    Affiliations Health Program Unit, Society for Family Health, Kigali, Rwanda, Makerere University School of Public Health, Kampala, Uganda

  • Gallican N. Rwibasira,

    Roles Conceptualization, Methodology, Supervision, Validation, Visualization, Writing – review & editing

    Affiliation Rwanda Biomedical Center, Ministry of Health, Kigali, Rwanda

  • Jeanne Uwineza,

    Roles Investigation, Methodology, Project administration, Resources, Supervision, Writing – review & editing

    Affiliation Health Program Unit, Society for Family Health, Kigali, Rwanda

  • Jean de Dieu Kayisinga,

    Roles Data curation, Methodology, Project administration, Software, Supervision, Validation, Writing – review & editing

    Affiliation Health Program Unit, Society for Family Health, Kigali, Rwanda

  • Manasseh G. Wandera,

    Roles Funding acquisition, Project administration, Writing – review & editing

    Affiliation Health Program Unit, Society for Family Health, Kigali, Rwanda

  • Samuel S. Malamba,

    Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – review & editing

    Affiliation Health Research and Evaluation Consultant, Kampala, Uganda

  • Chrispus Mayora,

    Roles Conceptualization, Supervision, Validation, Writing – review & editing

    Affiliation Makerere University School of Public Health, Kampala, Uganda

  • Joseph K. B. Matovu

    Roles Conceptualization, Methodology, Supervision, Validation, Visualization, Writing – review & editing

    Affiliations Makerere University School of Public Health, Kampala, Uganda, Department of Community and Public Health, Faculty of Health Sciences, Busitema University, Mbale, Uganda

Abstract

Pre-Exposure Prophylaxis (PrEP) is recommended as an additional HIV prevention measure for persons at substantial risk of HIV acquisition. Although uptake of PrEP among female sex workers (FSW) has increased, retention remains low, resulting in suboptimal benefits. This study aimed at determining PrEP retention rates and associated factors among FSW in Kigali, Rwanda. We retrospectively studied records of 309 FSW abstracted from five (5) health centers for the period between April-June 2020 and April-June 2021. PrEP retention was defined as presenting for a scheduled follow-up visit. We used Kaplan-Meier survival analysis to estimate survival probabilities at months 1,3,6,9, and 12 post-PrEP initiation and Cox regression to determine factors associated with 12-month PrEP retention. Data was analyzed using STATA (version 14.0). Out of 309 FSW whose records were reviewed, data for 268 (87%) were complete. One half (50%, n = 133) of the respondents were aged 25–34 years; slightly more than half (52%, n = 136) were single; nearly three-quarters (73%, n = 196) had completed primary school; majority (88%, n = 236) lived alone; while 69% (n = 184) had no formal employment besides sex work. PrEP dropout rates were 228, 65, 29, 49, and 36 per 100-persons years at months 1, 3, 6, 9 and 12 respectively, with 81%, 72%, 67%, 59% and 53% of FSW that started PrEP retained at these time periods. Multivariable Cox regression revealed that compared to FSW opposed to additional children, the desire to have two or more children (adjusted Hazard Ratio [aHR] = 1.654; 95% Confidential Interval [95%CI]: 1.008, 2.713); and using hormonal (aHR = 2.091, 95%CI: 1.181, 3.702) or no method of contraception other than condoms (aHR = 2.036, 95%CI: 1.006, 4.119) were factors positively associated with PrEP retention. Conversely, compared to consistent condom-use, not using (aHR = 0.329; 95%CI: 0.149, 0.726) or inconsistently using condoms (aHR = 0.413; 95%CI: 0.228, 0.749), and accessing PrEP from ultra-urban clinics (aHR = 0.290; 95%CI: 0.183, 0.458) compared to clinics in the outskirts of the city, were factors negatively associated with PrEP retention. The study found a continuous decline in PrEP retention among FSW with slightly more than half retained at 12 months. To improve outcomes, PrEP retention monitoring should target FSW enrolled in ultra-urban clinics and those not or inconsistently using condoms.

Introduction

In 2021, it was reported that key populations (KPs) and their sexual partners accounted for 70% of the 1.5 million new HIV (Human Immunodeficiency Virus) infections globally [1]. In the same period, female sex workers (FSW) accounted for 12% of new HIV infections globally [1]. It is widely reported that FSW have a high risk of acquiring HIV infection ranging from 12–30 fold compared to other females in the general population [16]. Given these figures, FSW and other KPs, were singled out in the 2021 political declaration on Acquired Immunodeficiency Syndrome (AIDS) as being at heightened risk of HIV acquisition requiring critical interventions to stem the tide [6].

Pre-Exposure Prophylaxis (PrEP) is an HIV prevention method in which HIV negative individuals with substantial risk of HIV acquisition take a daily pill of tenofovir/emtricitabine (TDF/FTC) commonly known as Truvada or tenofovir/lamivudine (TDF/3TC) to prevent HIV infection. The effectiveness of PrEP for HIV prevention has been demonstrated in several studies including iPrEx (Pre-Exposure Initiative), the Partners PrEP study, the Bangkok Tenofovir study, Strand study, among others [710]. Protection levels varied from 44% - 99% depending on the study and levels of adherence achieved [11]. Based on this, PrEP was recommended by the World Health Organization (WHO) for persons at substantial risk of HIV acquisition of which FSW fit the characterization [1214].

The uptake of PrEP has been high in most settings where PrEP has been made available to FSW. Demonstration projects in Benin and South Africa showed a PrEP uptake rate among FSW of 88.3% and 98% respectively [15, 16]. In India, a community-led HIV program for FSW demonstrated an uptake rate of 80% among those eligible [17]. A PrEP uptake rate of 93.3% among FSW was demonstrated in South-Central Uganda in the districts of Rakai, Masaka, Kyotera, and Lyantonde [18]. High PrEP uptake among FSW or generally is driven by many factors including: a perception of high HIV risk when engaging with a partner who is HIV positive, or one whose HIV status is unknown, or when it is challenging to consistently use condoms for every sexual encounter as might be the case with clients paying more money [19, 20]. Given this, uptake of PrEP among FSW is thus not a major issue and is projected to remain high provided that FSW are helped to accurately assess their own HIV risk and PrEP made available to them as an alternative HIV prevention method.

Once anyone initiates PrEP, they need to adhere to the medication to optimize its benefits. This is especially critical for FSW given that women require near perfect adherence, in any case not less than 85%, to reach and maintain protective PrEP therapeutic levels in cervico-vaginal tissues [21, 22]. In fact, two PrEP trials (Preexposure Prophylaxis Trial for HIV Prevention among African Women–FEM-PrEP and Vaginal and Oral Interventions to Control the Epidemic–VOICE) were considered futile because of low adherence levels among participants [23, 24].

Critical in achieving good adherence levels is the aspect of retention; given that those clients that are retained on PrEP will get the drug refills, laboratory monitoring, as well as adherence counseling required [25]. However, retention rates among FSW receiving PrEP have been reported to be low. The TAPS (Treatment And Prevention for female Sex workers) project in South Africa demonstrated 12-months retention of 22% for FSW that had initiated PrEP [16]. In the SAPPH-IRe (Sisters Antiretroviral Programme for Prevention of HIV, an Integrated Response) trial in Zimbabwe, FSW took PrEP for about 4 months on average [26]. The demonstration project in Benin recorded a 12 month retention of 47.3%, while the one in Kenya recorded retention rates of 40, 26, and 14% at months 1, 3, and 6 respectively [27, 28]. Even in the program mode, retention of FSW on PrEP remains low as seen in South-Central Uganda [18].

In Rwanda, the incidence rate of HIV cases reported in 2019 among FSW was 3.5 per 100 person years which is higher than the general population incidence rate of 0.27 per 100 person years [29]. Some of the factors associated with increased sexual risk that may eventually contribute to high HIV incidence rates among FSW in Rwanda include inconsistent condom use, having sex while intoxicated with alcohol, physical and sexual violence, high prevalence of STIs, low level of comprehensive HIV knowledge, among other factors [29, 30]. These factors present a strong case for the integration of PrEP into the HIV prevention mix for FSW. Since 2018, Rwanda recommends PrEP for KPs in tandem with the Centers for Disease Control and Prevention (CDC) guidelines, WHO guidelines, and the Rwanda HIV and AIDS national strategic plan [3133]. PrEP is projected to reduce HIV incidence in Rwanda by 1.28% by 2027 [29].

Implementation of the PrEP intervention among FSW and other KPs in Rwanda started in April 2019. Program data from society for Family Health (SFH) Rwanda showed that out of 33,542 FSW, 5,169 (15%) had initiated PrEP by 30th September 2021: the initiation rate being low due to the fact the program was still at a pilot phase at that time. Additionally, PrEP retention rates were not known but suspected to be low like in other jurisdictions. This study thus sought to determine PrEP retention rates and the factors associated with retention on PrEP among FSW in Kigali with a view of making proposals to refine strategies aimed at optimizing retention on PrEP and improve outcomes.

Materials and methods

Study design and setting

This was a retrospective cohort study of PrEP retention outcomes for FSW who were enrolled on the key population (KP) program implemented by Society for Family Health (SFH) Rwanda. The KP program implementation is supported by the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) through the US Centers for Disease Control and Prevention (CDC)–Rwanda. The KP program aims at reducing HIV incidence among KPs through provision of targeted services such as HIV testing services (HTS), linkage of HIV positive KPs to Antiretroviral therapy (ART), distribution of HIV self-test kits, risk reduction counseling, post-exposure prophylaxis (PEP), and PrEP. The study was conducted at 5 health centers of Busanza, Kabusunzu, Kacyiru, Kinyinya, and Masaka that are in the 3 districts of Kigali namely: Nyarugenge, Kicukiro, and Gasabo.

Participants

The PrEP program that started in Rwanda in April 2019 is being implemented in a real-world setting. This retrospective study considered FSW that were initiated on PrEP in the quarter of April to June 2020 and followed for a 12-month period ending in April-June 2021. A FSW enrolled on the study had to be aged 18 years and above. All FSW that were formerly transferred from the participating health centers during the study period were excluded from the study.

Sample size

Using a single rate precision method for sample size with an assumed 12-month PrEP retention of 60%, standard error of 0.05, and factoring in 20% missing participants, a sample size of 300 clients was determined as adequate to estimate the PrEP retention rates over the study period [34]. Using the Power Analysis and Sample Size (PASS) software, the sample of 300 was sufficient to detect factors associated with retention achieving a power of 90% or greater in detecting an additional retention rate in the comparison category of 0.16 or higher when the significance level is 0.05.

Measurement of variables

Retention was the outcome in this study and was categorized as a binary variable coded one (1) for a FSW that presented for their scheduled follow-up visits for PrEP refills at months 1, 3, 6, 9, and 12. A ±14-day window was allowed for those who might have missed their scheduled visit date or came earlier than their scheduled visits. A client that did not return for their scheduled follow-up visits after the 14-day window was coded as zero (0) and determined as not retained on PrEP and dropped. Retention was considered at first instance meaning that a client who missed visit 3 and returned at visit 6, was considered as dropped at visit 3 and not considered for other subsequent visits (in this case, we ignored visit 6). The predictor variables were determined as the factors associated with PrEP retention, captured in a data abstraction form, using data collected during the PrEP eligibility assessment and follow-up visits. Demographic characteristics of the respondents were also captured. During the follow-up visits, FSW were provided with adherence counseling, HIV-retesting, HIV risk assessment, STI screening and treatment, and laboratory creatinine assessment. FSW that remained HIV negative with normal creatinine levels were refilled with a 2-month refill of Truvada (FTC 200mg and TDF 300mg) if they came for month 1 visit, or a 3-month refill for subsequent visits after month-1.

Data handling and statistical analysis

DATIM (Design and Analysis Toolkit for Inventory and Monitoring—version 17.1), a reporting system used by PEPFAR, was used to determine the number of FSW reported as enrolled on PrEP from five health centers in the Rwanda HIV program. Data were abstracted by trained research assistant using a digitized abstraction developed with the ArcGIS survey123 system that was downloadable on password-protect tablets. Data abstracted was for two similar time-periods in two consecutive years: April-June 2020 and April-June 2021. The time-period April–June 2020 was designated as the PrEP initiation period while the subsequent time-period (April-June 2021) was designated as the retention period. All data were relayed to a protected server at SFH offices which automatically triggered daily deletion of all data on the tablet upon synchronization at 23h 59min. Data from the server were then downloaded, coded, cleaned, and uploaded into a statistical analysis package (STATA 14.0). Data were collected for a 2-weeks period starting from 17th to 31st January 2022. Authors did not have access to information that could identify individual participants during or after data collection.

Descriptive statistics for the demographic and predictor variables were summarized using frequencies and percentages. Kaplan-Meier survival analysis was used to estimate survival probabilities at months 1, 3, 6, 9, and 12. The Kaplan-Meier estimator measures the level of survival at each time-period and imputes a probability of survival to the end of the period, given that the client began the period. Clients lost before the beginning of the period are not considered in the computed survival probability. Time to outcome event was censored due to loss to follow-up or non-occurrence of outcome event before the end of the study period. We then regressed each predictor variable against the outcome at 12-month retention to determine factors associated with retention. Factors with a p-value of <0.2 were used to build the general multivariable Cox regression model and elimination method of non-significant factors starting with those with higher p-values used to determine the final model. Adjusted hazard ratios (aHR) and corresponding 95% confidence intervals (95%CI) were computed and summarized.

Ethical considerations

The study was submitted to and obtained approval from the Makerere University College of Health Sciences School of Public Health Higher Degrees Research and Ethics Committee (HDREC), and additional ethical clearance/approval from the Rwanda National Ethics Committee (RNEC) as study Institutional Review Boards (IRBs). Our study was retrospective in nature, using secondary data from patient files and registers hence no informed consent from individual clients was required. Instead, we used IRB approvals to seek administrative clearances from the facility in-charges of the various study sites to access client data.

Inclusivity in global research

Additional information regarding the ethical, cultural, and scientific considerations specific to inclusivity in global research is included in S1 File.

Results

From the PEPFAR reporting system (DATIM), 319 FSW were reported as enrolled on PrEP from the 5 health centers, although only 309 records were retrievable. Due to abstraction errors, 41 ineligible FSW were dropped. We thus remained with 268 FSW that made our analytical sample as shown by Fig 1. Each client’s visit was considered as an individual observation translating to 1,340 observations for the 268 FSW.

Baseline characteristics of respondents

One half (50%, n = 133) of the respondents were aged 25–34 years, followed by those 35 years and above (36%, n = 95), while 15% (n = 40) were in the age bracket of 18–24 years. Forty-three percent (n = 115) of the respondents were from Kicukiro district, followed by those from Gasabo district (39%, n = 105), while eighteen percent (n = 47) of respondents were enrolled from Nyarugenge district (see Table 1).

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Table 1. Baseline characteristics and PrEP survival probabilities of FSW at different follow-up time points.

https://doi.org/10.1371/journal.pgph.0002524.t001

Slightly more than half of the respondents (52%, n = 136) had never been married before. Nearly three-quarters (73%, n = 196) of the respondents had completed primary education, eleven percent (n = 30) completed secondary education, while sixteen percent (n = 42) had never been to school. Sixty-nine percent (n = 184) of respondents had no formal employment and majority (88%, n = 236) reported to be living alone (see Table 1).

Retention rates of FSW on PrEP

Overall, retention was 81% at month 1, dropping to 67% at month 6, and was at 53% by month 12 of follow-up. The Kaplan-Meier survival probability estimate graph depicted by Fig 2 shows that the biggest risk of dropping off PrEP was at month 1, followed by a continuous albeit steady decrease in retention rates at subsequent follow-up periods (months 3, 6, 9, and 12). PrEP dropout rates were 228, 65, 29, 49, and 36 per 100-persons years at months 1, 3, 6, 9 and 12 respectively.

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Fig 2. Kaplan-Meier survival probability for FSW initiated on PrEP in Kigali, Rwanda.

https://doi.org/10.1371/journal.pgph.0002524.g002

Survival probability on PrEP decreased over the 12-month period of the study and was spread differently as depicted by Table 1. At month 1 of follow-up, all baseline characteristics had a PrEP survival probability of 50% and above. By month 6, the following characteristics had a survival probability on PrEP of less than 50%: FSW aged 18–24 years (M6 survival probability = 47.5%), FSW from Nyarugenge district (M6 survival probability = 36.2%), and FSW that used condoms as a method of contraception (M6 survival probability = 43.5%). By month-12 of follow-up, FSW that had never married before (M12 survival probability = 45.6%), those that had a paid job besides sex work (M12 survival probability = 45.2%), FSW who inconsistently use condoms for each sexual act (M12 survival probability = 48.9%), FSW with 3 or more children (M12 survival probability = 47.1%), and FSW that didn’t want to have any more children (M12 survival probability = 45.4%) or those that wanted to have only one (1) additional child (M12 survival probability = 48.9%), had joined the tally of those with PrEP survival probability of less than 50%.

Table 2 shows that FSW that wished to have 2 or more children demonstrated increased chances of being retained on PrEP than those that did not want to have any additional children (adjusted Hazard Ratio [aHR] = 1.654; 95%CI: 1.008, 2.713). Also, compared to those that opted for condoms as a method of contraception, FSW using hormonal method (aHR = 2.091, 95%CI: 1.181, 3.702) or those that didn’t use any method of contraception (aHR = 2.036, 95%CI: 1.006, 4.119) were more likely to be retained on PrEP. On the other hand, compared to those from Kicukiro district, FSW from Nyarugenge were less likely to be retained on PrEP (aHR = 0.290; 95%CI: 0.183, 0.458). Similarly, FSW that never used condoms (aHR = 0.329; 95%CI: 0.149, 0.726) or those that inconsistently used them (aHR = 0.413; 95%CI: 0.228, 0.749), were less likely to be retained on PrEP compared to those that consistently used condoms.

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Table 2. Frequencies and hazard ratios of PrEP retention associated with covariates among FSW in Kigali.

https://doi.org/10.1371/journal.pgph.0002524.t002

Discussion

This study on retention on PrEP among FSW in Kigali has demonstrated that retention rates are higher in the immediate period following enrolment but decreased over time. The 12-month retention of 53% observed in this study is close to that of 47% obtained in the demonstration project among FSW in Benin and that of 55% seen in the HPTN082 trial among AGYW [15, 35]. It is however, higher than the 12-month retention of 22% seen in the TAPS study in South Africa and that seen in the San Francisco Primary care clinics of 38% [16, 36]. On the other hand, this 12-month retention is lower than the 73% seen in the PrEP demonstration project of FSW in Senegal and the 90% seen in the Indian study among FSW [17, 37]. We believe that the 12-month retention was positively influenced by the follow-up offered by the FSW peer navigators as in other studies with good retention.

In this study, 81% of FSW were retained by month-1 follow-up. This is similar to the 84% early retention seen in the San Francisco study but lower than that seen in the Senegalese study where retention at month-1 follow-up was 90% [36, 37]. The sharpest decrease in retention happened in the first 31 days, with a dropout rate of 228 per 100-person years being registered compared to the rate of 36 per 100-person years at month-12: implying that the likelihood of being retained on PrEP improved as the FSW stayed longer on the program. This finding is similar to that seen in the FSW community study in India [17]; stressing the importance of being vigilant in obtaining commitment to PrEP in the early days of PrEP initiation.

Findings from this study point to the fact that the desire to have 2 or more children was a motivator to be retained on PrEP. The desire to stay healthy HIV free and bare HIV negative children has been noted as motivator to be retained on PrEP [38].Relatedly, the desire to stay healthy and maintain earning potential so as to take care of their children has also been cited as a motivator to being retained on PrEP [39]. This further emphasizes the need to integrate PrEP into sexual and reproductive health services [40]. FSW on PrEP that come to clinics for contraceptive counseling or for their next dose of injectable contraceptives get an opportunity to hear PrEP reinforcing messages [39]. The additional messages provide an advantage for PrEP retention when compared to FSW who access their condoms for contraception without interacting with a health care provider.

The debate on whether PrEP users continue to use condoms consistently is one that rages on with some evidence showing laxity in condom use among PrEP users [39]. This is especially the case with clients paying more money for condomless sex [41]. On the other hand, a study in Kenya demonstrated increased condom use among FSW enrolled on PrEP [42]. Nonetheless, for FSW that show a laxed attitude towards consistent condom use, this laxity can be extended to other health matters even affecting PrEP retention, because of their distorted risk perception or other socioeconomic pressures.

Being in an urban area comes with a woven web of both challenges and opportunities. Results in this study show that FSW from Nyarugenge, which is the central business district, had poor retention compared to those from Gasabo and Kicukiro district. This is consistent with other study findings given the challenges experienced by urban dwellers when accessing health care. These include frequent relocations, cost of transport to and from clinics, or failure to remember appointments because they are busy [43]. This negatively affects PrEP retention as demonstrated in this study. An ultra-urban clinic will thus need a robust follow-up and tracking mechanism for its FSW enrolled on PrEP.

Study limitations and strengths

Our study used secondary data from KP files in which some data errors were found. We worked with the health center KP focal persons to correct any obvious transcription errors which led to improvements in data quality. Not all factors that could be potentially associated with PrEP retention were collected and availed for analysis. These includes factors such as drug side effects, problematic dosing schedules, decreased risk perception, relocation of FSW, stigma, exacerbation of pre-existing condition, disclosure concerns, positive interaction with PrEP providers, etc., [4446]. Instead, we were only able to analyze the data abstracted from the health facility KP files. Our study considered every FSW enrolled at the base period of April-July 2020 hence limiting any selection bias. Our study censored PrEP clients that didn’t return for follow-up within 14 days past their appointment date, limiting our ability to estimate those who reinitiated PrEP after this period.

Conclusions

PrEP retention rates were highest in the early days of PrEP initiation, but by 12 months of follow-up, only just over one half (53%) of FSW were retained on PrEP. FSW that desired to have more children, and those using hormonal or not using contraception had higher likelihoods of retention on PrEP while those from urban clinics and those that inconsistently or never used condoms were less likely to be retained on PrEP. Program Managers need to be vigilant at eliciting early commitment to PrEP. In addition, PrEP retention monitoring needs to be directed towards FSW who never or inconsistently use condoms for each sexual act as their distorted risk perception is likely to negatively affect PrEP retention. Creating flexi-hours for refills and establishing mechanisms for delivering PrEP for clients at their convenience are key in addressing high dropout rates for clients enrolled at urban clinics.

Supporting information

S1 File. Inclusivity in global research questionnaire.

https://doi.org/10.1371/journal.pgph.0002524.s001

(DOCX)

Acknowledgments

The authors acknowledge the program staff and volunteers that collected the data, the public facility staff that supported in retrieval and update of KP files, and the FSW whose data was considered for the study.

References

  1. 1. UNAIDS. UNAIDS Global AIDS Up-date 2022: IN DANGER. 2022.
  2. 2. Pelaez D, Weicker NP, Glick J, Mesenburg J V., Wilson A, Kirkpatrick H, et al. The PEARL study: a prospective two-group pilot PrEP promotion intervention for cisgender female sex workers living in Baltimore, MD, U.S. AIDS Care—Psychol Socio-Medical Asp AIDS/HIV. 2021;33(S1):1–10. pmid:33627006
  3. 3. Logie CH, Wang Y, Lalor P, Williams D, Levermore K. Pre and Post-exposure Prophylaxis Awareness and Acceptability Among Sex Workers in Jamaica: A Cross-Sectional Study. AIDS Behav [Internet]. 2021;25(2):330–43. Available from: pmid:32666244
  4. 4. Mwumvaneza M, Malamba SS, Kayitesi C, Gasasira RA, Bassirou C, Boer K, et al. High HIV prevalence and associated risk factors among female sex workers in Rwanda. Int J STD AIDS [Internet]. 2018;28(11):1082–9. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6512058/pdf/10.1177_0956462418817050.pdf
  5. 5. UNAIDS. Global AIDS Update: Tackling entrenched inequalities to end epidemics. 2020.
  6. 6. UNAIDS. CONFRONTING INEQUALITIES: Lessons for pandemic responses from 40 years of AIDS. 2021.
  7. 7. Liu AY, Vargas L, Goicochea P, Sc M, Casapía M, Guanira-carranza JV, et al. Preexposure Chemoprophylaxis for HIV Prevention in Men Who Have Sex with Men. N Engl J Med. 2010;2010:2587–99. pmid:21091279
  8. 8. Baeten JM, Donnell D, Ndase P, Mugo NR, Campbell JD, Wangisi J, et al. Antiretroviral Prophylaxis for HIV Prevention in Heterosexual Men and Women. N Engl J Med. 2012;367(5):399–410. pmid:22784037
  9. 9. Choopanya K, Martin M, Suntharasamai P, Sangkum U, Mock PA, Leethochawalit M, et al. Antiretroviral prophylaxis for HIV infection in injecting drug users in Bangkok, Thailand (the Bangkok Tenofovir Study): A randomised, double-blind, placebo-controlled phase 3 trial. Lancet [Internet]. 2013;381(9883):2083–90. Available from: pmid:23769234
  10. 10. Anderson PL, Glidden D V, Liu A, Buchbinder S, Lama JR, Guanira JV, et al. Emtricitabine-tenofovir exposure and pre-exposure efficacy in men who have sex with men. Sci Transl Med [Internet]. 2012;4(151):1–17. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3721979/
  11. 11. Fang W, Mphoyi BI, Motake DR, Liu J, Li W, Mei F, et al. Efficacy, Adherence and Side Effects of PrEP for HIV-1 Prevention. Int J Biol. 2019;11(4):80.
  12. 12. World Health Organization. Guideline on When to Start Antiretroviral Therapy and on Pre-Exposure Prophylaxis for HIV: Potential Limitations of Earlier Initiation of Therapy. 2015;(September). Available from: http://www.ncbi.nlm.nih.gov/books/NBK327118/
  13. 13. McCormack S, Dunn DT, Desai M, Dolling DI, Gafos M, Gilson R, 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 [Internet]. 2016;387(10013):53–60. Available from: pmid:26364263
  14. 14. Molina JM, Capitant C, Spire B, Pialoux G, Cotte L, Charreau I, et al. On-Demand Preexposure Prophylaxis in Men at High Risk for HIV-1 Infection. N Engl J Med. 2015;373(23):2237–46. pmid:26624850
  15. 15. 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):1–11.
  16. 16. 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. pmid:29161256
  17. 17. Jana S, Ray P, Roy S, Kadam A, Gangakhedkar RR, Rewari BB, et al. Successful integration of HIV pre-exposure prophylaxis into a community-based HIV prevention program for female sex workers in Kolkata, India. Int J STD AIDS. 2021;32(7):638–47. pmid:33596735
  18. 18. Kagaayi J, Batte J, Nakawooya H, Kigozi B, Nakigozi G, Strömdahl S, et al. Uptake and retention on HIV pre-exposure prophylaxis among key and priority populations in South-Central Uganda. J Int AIDS Soc. 2020;23(8):1–6. pmid:32785976
  19. 19. Kawuma R, Ssemata AS, Bernays S, Seeley J. Women at high risk of HIV-infection in Kampala, Uganda, and their candidacy for PrEP. SSM—Popul Heal [Internet]. 2021;13(January):100746. Available from: pmid:33604448
  20. 20. 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 [Internet]. 2020;15(4):1–19. Available from: pmid:32352969
  21. 21. Cottrell ML, Yang KH, Prince HMA, Sykes C, White N, Malone S, et al. A Translational Pharmacology Approach to Predicting Outcomes of Preexposure Prophylaxis Against HIV in Men and Women Using Tenofovir Disoproxil Fumarate with or Without Emtricitabine. J Infect Dis. 2016;214(1):55–64. pmid:26917574
  22. 22. Ghayda RA, Hong SH, Yang JW, Jeong GH, Lee KH, Kronbichler A, et al. A review of pre-exposure prophylaxis adherence among female sex workers. Yonsei Med J. 2020;61(5):349–58. pmid:32390358
  23. 23. Van Damme L, Corneli A, Ahmed K, Agot K, Lombaard J, Kapiga S, et al. Preexposure Prophylaxis for HIV Infection among African Women. N Engl J Med. 2012;367(5):411–22. pmid:22784040
  24. 24. Marrazzo JM, Ramjee G, Richardson BA, Gomez K, Mgodi N, Nair G, et al. Tenofovir-Based Preexposure Prophylaxis for HIV Infection among African Women. N Engl J Med. 2015;372(6):509–18. pmid:25651245
  25. 25. Lankowski AJ, Bien-Gund CH, Patel V V., Felsen UR, Silvera R, Blackstock OJ. PrEP in the Real World: Predictors of 6-Month Retention in a Diverse Urban Cohort. AIDS Behav [Internet]. 2019;23(7):1797–802. Available from: pmid:30341556
  26. 26. Cowan FM, Davey C, Fearon E, Mushati P, Dirawo J, Chabata S, et al. Targeted combination prevention to support female sex workers in Zimbabwe accessing and adhering to antiretrovirals for treatment and prevention of HIV (SAPPH-IRe): a cluster-randomised trial. Lancet HIV [Internet]. 2018;5(8):e417–26. Available from: pmid:30030134
  27. 27. Mboup A, Béhanzin L, Guédou F, Giguère K, Geraldo N, Zannou DM, et al. Comparison of adherence measurement tools used in a pre-exposure prophylaxis demonstration study among female sex workers in Benin. Medicine (Baltimore). 2020;99(21):e20063. pmid:32481273
  28. 28. Kyongo JK, Kiragu M, Karuga R, Ochieng C, Ngunjiri A, Wachihi C, et al. How long will they take it? Oral pre-exposure prophylaxis (PrEP) retention for female sex workers, men who have sex with men and young women in a demonstration project in Kenya. J Int AIDS Soc. 2018;21(Suppl 6):54–5.
  29. 29. Nsanzimana S, Mills EJ, Harari O, Mugwaneza P, Karita E, Uwizihiwe JP, et al. Prevalence and incidence of HIV among female sex workers and their clients: Modelling the potential effects of intervention in Rwanda. BMJ Glob Heal. 2020;5(8):1–9.
  30. 30. Rwanda Biomedical Center. Combined Behavioral and Biological Surveillance Survey Among Female Sex Workers,. 2019.
  31. 31. CDC. Preexposure Prophylaxis for the Prevention of HIV Infection in the United States– 2017 Update Clinical Practice Guideline. 2017.
  32. 32. MoH/RBC. Rwanda HIV and AIDS National Strategic Plan. 2018;19–118.
  33. 33. WHO. WHO Implementation tool for pre-exposure prophylaxis (PrEP) of HIV infection. Module 1: Clinical. Geneva: World Health Organization; 2017 (WHO/HIV/2017.17). Licence: CC BY-NC-SA 3.0 IGO. 2017;(July). Available from: https://www.who.int/hiv/pub/prep/prep-supplement-jias-2015/en/
  34. 34. Stankevitz K, Grant H, Gomez GB, Lloyd J, Ong JJ, Terris-Prestholt F. How is PrEP continuation reported and where are we now? A Systematic Review. Icasa. 2019;162.
  35. 35. Celum C, Hosek S, Tsholwana M, Kassim S, Mukaka S, Dye BJ, et al. PrEP uptake, persistence, adherence, and effect of retrospective drug level feedback on PrEP adherence among young women in southern Africa: Results from HPTN 082, a randomized controlled trial. PLoS Med [Internet]. 2021;18(6):1–18. Available from: http://dx.doi.org/10.1371/journal.pmed.1003670
  36. 36. Spinelli MA, Scott HM, Vittinghoff E, Liu AY, Gonzalez R, Morehead-Gee A, et al. Missed Visits Associated with Future Preexposure Prophylaxis (PrEP) Discontinuation among PrEP Users in a Municipal Primary Care Health Network. Open Forum Infect Dis. 2019;6(4).
  37. 37. Sarr M, Gueye D, Mboup A, Diouf O, Bao MDB, Ndiaye AJ, et al. Uptake, retention, and outcomes in a demonstration project of pre-exposure prophylaxis among female sex workers in public health centers in Senegal. Int J STD AIDS. 2020;31(11):1063–72. pmid:32819210
  38. 38. Pintye J, Beima-Sofie KM, Kimemia G, Ngure K, Trinidad SB, Heffron RA, et al. " i Did Not Want to Give Birth to a Child Who has HIV ": Experiences Using PrEP during Pregnancy among HIV-Uninfected Kenyan Women in HIV-Serodiscordant Couples. J Acquir Immune Defic Syndr. 2017;76(3):259–65. pmid:28777265
  39. 39. Bowring AL, Ampt FH, Schwartz S, Stoové MA, Luchters S, Baral S, et al. HIV pre-exposure prophylaxis for female sex workers: ensuring women’s family planning needs are not left behind. J Int AIDS Soc. 2020;23(2):1–8.
  40. 40. Mugwanya KK, Matemo D, Scoville CW, Beima-Sofie KM, Meisner A, Onyango D, et al. Integrating PrEP delivery in public health family planning clinics: a protocol for a pragmatic stepped wedge cluster randomized trial in Kenya. Implement Sci Commun [Internet]. 2021;2(1):1–12. Available from: https://doi.org/10.1186/s43058-021-00228-4
  41. 41. Ntumbanzondo M, Dubrow R, Niccolai LM, Mwandagalirwa K, Merson MH. Unprotected intercourse for extra money among commercial sex workers in Kinshasa, Democratic Republic of Congo. AIDS Care—Psychol Socio-Medical Asp AIDS/HIV. 2006;18(7):777–85. pmid:16971288
  42. 42. Manguro GO, Musau AM, Were DK, Tengah S, Wakhutu B, Reed J, et al. Increased condom use among key populations using oral PrEP in Kenya: results from large scale programmatic surveillance. BMC Public Health [Internet]. 2022;22(1):1–9. Available from: https://doi.org/10.1186/s12889-022-12639-6
  43. 43. Jayaraman S, Lalley-Chareczko L, Williams S, Clark D, Conyngham C, Koenig HC. Why do HIV PrEP Patients Become Lost-to-Care and How Can We Improve PrEP Retention? HIV/AIDS Res Treat–Open J. 2019;6(1):10–21.
  44. 44. Park CJ, Taylor TN, Gutierrez NR, Zingman BS, Blackstock OJ. Pathways to HIV Pre-exposure Prophylaxis among Women Prescribed PrEP at an Urban Sexual Health Clinic. J Assoc Nurses AIDS Care. 2019;30(3):321–9. pmid:30958408
  45. 45. Hirschhorn LR, Brown RN, Friedman EE, Greene GJ, Bender A, Christeller C, et al. Black Cisgender Women’s PrEP Knowledge, Attitudes, Preferences, and Experience in Chicago. J Acquir Immune Defic Syndr. 2020;84(5):497–507. pmid:32692108
  46. 46. Willie TC, Monger M, Nunn A, Kershaw T, Stockman JK, Mayer KH, et al. “PrEP’s just to secure you like insurance”: a qualitative study on HIV pre-exposure prophylaxis (PrEP) adherence and retention among black cisgender women in Mississippi. BMC Infect Dis [Internet]. 2021;21(1):1–12. Available from: https://doi.org/10.1186/s12879-021-06786-1