Application of the Respondent-Driven Sampling methodology in a biological and behavioral surveillance survey among female sex workers, Brazil, 2016

Giseli Nogueira Damacena Célia Landmann Szwarcwald Paulo Roberto Borges de Souza Júnior Orlando da Costa Ferreira Júnior Wanessa da Silva de Almeida Ana Roberta Pati Pascom Maria Cristina Pimenta The Brazilian FSW GroupAbout the authors

ABSTRACT

Introduction:

Respondent-Driven Sampling (RDS) has been used in surveys with key populations at risk of HIV infection, such as female sex workers (FSW). This article describes the application of the RDS method among FSW in 12 Brazilian cities, during a survey carried out in 2016.

Methodology:

A biological and behavioral surveillance study carried out in 12 Brazilian cities, with a minimum sample of 350 FSW in each city. Tests were performed for HIV, syphilis, and hepatitis B and C infections. A social-behavioral questionnaire was also applied.

Results:

The sample was comprised of 4,328 FSW. For data analysis, the sample was weighted according to each participant’s network size (due consideration to the implications of RDS complex design and to the effects of homophilia are recommended).

Discussion:

Although RDS methods for obtaining a statistical sample are based on strong statistical assumptions, allowing for an estimation of statistical parameters, with each new application the method has been rethought. In the analysis of whole-sample data, estimators were robust and compatible with those found in 2009. However, there were significant variations according to each city.

Conclusion:

The achieved sample size was of great relevance for assessing progress and identifying problems regarding the prevention and treatment of Sexually Transmitted Infections. New RDS studies with more time and operational resources should be envisaged. This could further network development.

Keywords:
Respondent-Driven Sampling; Sex workers; HIV; Syphilis; Hepatitis; Brazil

INTRODUCTION

In the early 1980s, the HIV/AIDS epidemic emerged in Brazil, characterized by low prevalence in the general population (less than 1%), and high prevalence in key populations, high-risk subgroups: drug users (DU), men who have sex with men (MSM), and female sex workers (FSW)11 Szwarcwald CL, Souza Júnior PRB. Estimativa da prevalência de HIV na população brasileira de 15 a 49 anos, 2004. Bol Epidemiol AIDS. 2006;3:11-15.), (22 Barbosa Júnior A, Szwarcwald CL, Pascom AR, Souza Júnior PRB. Tendências da epidemia de AIDS entre subgrupos sob maior risco no Brasil, 1980-2004. Cad Saúde Pública. 2009,25(4):727-37. http://dx.doi.org/10.1590/S0102-311X2009000400003
http://dx.doi.org/10.1590/S0102-311X2009...
.

Demographically small and associated with stigmatized behavior or illegal activities, these groups are difficult to access, rendering traditional sampling techniques inadequate33 Magnani R, Sabin K, Saidel T, Heckathorn D. Review of sampling hard-to-reach and hidden populations for HIV surveillance. AIDS. 2005;19(Suppl 2):S67-S72. http://dx.doi.org/10.1097/01.aids.0000172879.20628.e1
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), (44 Pascom ARP, Szwarcwald CL, Barbora-Jr A. Sampling studies to estimate the HIV prevalence rate in female commercial sex workers. Braz J Infect Dis. 2010;14(4):385-97. http://dx.doi.org/10.1590/S1413-86702010000400014
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), (55 Damacena GN, Szwarcwald CL, Barbosa Júnior A. Implementation of respondent-driven sampling among female sex workers in Brazil, 2009. Cad Saúde Pública. 2011;27(Suppl 1):S45-S55. http://dx.doi.org/10.1590/S0102-311X2011001300006
http://dx.doi.org/10.1590/S0102-311X2011...
. Probabilistic sampling methods were developed in the mid-1990s to enable the estimation of parameters of interest in these key populations. One example is Respondent-Driven Sampling (RDS), a variant of chain sampling in which study participants themselves invite peers from their own population to participate. RDS has been used in several countries55 Damacena GN, Szwarcwald CL, Barbosa Júnior A. Implementation of respondent-driven sampling among female sex workers in Brazil, 2009. Cad Saúde Pública. 2011;27(Suppl 1):S45-S55. http://dx.doi.org/10.1590/S0102-311X2011001300006
http://dx.doi.org/10.1590/S0102-311X2011...
), (66 Salganik MJ, Heckathorn DD. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling. Social Methodology. 2004;34(1):193-240. https://doi.org/10.1111/j.0081-1750.2004.00152.x
https://doi.org/10.1111/j.0081-1750.2004...
), (77 Heckathorn DD. Respondent-Driven Sampling: a new approach to the study of hidden populations. Soc Probl. 1997;44(2):174-99. https://doi.org/10.2307/3096941
https://doi.org/10.2307/3096941...
), (88 Johnston LG, Hakim AJ, Dittrich S, Burnett J, Kim E, White RG. A systematic review of published respondent-driven sampling surveys collecting behavioral and biologic data. AIDS Behav. 2016;20(8):1754-76. https://doi.org/10.1007/s10461-016-1346-5
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), (99 Malekinejad M, Johnston LG, Kendall C, Kerr LR, Rifkin MR, Rutherford GW. Using respondent-driven sampling methodology for HIV biological and behavioral surveillance in international settings: a systematic review. AIDS Behav. 2008;12(Suppl 4):S105-30. https://doi.org/10.1007/s10461-008-9421-1
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.

In Brazil, there are important efforts in the development of studies to characterize the practices and risk behavior of these key populations22 Barbosa Júnior A, Szwarcwald CL, Pascom AR, Souza Júnior PRB. Tendências da epidemia de AIDS entre subgrupos sob maior risco no Brasil, 1980-2004. Cad Saúde Pública. 2009,25(4):727-37. http://dx.doi.org/10.1590/S0102-311X2009000400003
http://dx.doi.org/10.1590/S0102-311X2009...
. In 2009, RDS surveys were conducted among MSM, FSW and DU in 10 Brazilian cities. The method had been elected by the Ministry of Health as adequate for key-population research in the country55 Damacena GN, Szwarcwald CL, Barbosa Júnior A. Implementation of respondent-driven sampling among female sex workers in Brazil, 2009. Cad Saúde Pública. 2011;27(Suppl 1):S45-S55. http://dx.doi.org/10.1590/S0102-311X2011001300006
http://dx.doi.org/10.1590/S0102-311X2011...
), (1010 Kerr LR, Mota RS, Kendall C, Pinho AA, Mello MB, Guimarães MD, et al. HIV among MSM in a large middle-income country. AIDS. 2013;27(3):427-35. https://doi.org/10.1097/QAD.0b013e32835ad504
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), (1111 Toledo L, Codeço CT, Bertoni N, Albuquerque E, Malta M, Bastos FI, Brazilian Multicity Study Group on Drug Misuse. Putting respondent-driven sampling on the map: insights from Rio de Janeiro, Brazil. J Acquir Immune Defic Syndr. 2011;57(Suppl 3):S136-43. https://doi.org/10.1097/QAI.0b013e31821e9981
https://doi.org/10.1097/QAI.0b013e31821e...
. In 2016, continuing the government’s commitment to HIV/AIDS surveillance, new biological and behavioral surveys were carried out in 12 Brazilian cities, this time involving MSM, FSW, and transgender and transvestite women (TTW). The surveys employed RDS as a statistical subsidy for the formulation of public policies targeting these groups1212 Kerr L, Kendall C, Guimarães MDC, Salani Mota R, Veras MA, Dourado I, et al. G. HIV prevalence among men who have sex with men in Brazil: results of the 2nd national survey using respondent-driven sampling. Medicine. 2018;97(1S Suppl 1):S9-15. https://doi.org/10.1097/MD.0000000000010573
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)- (1414 Bastos FI, Bastos LS, Coutinho C, Toledo L, Mota JC, Velasco-de-Castro CA, et. al. HIV, HCV, HBV, and syphilis among transgender women from Brazil: assessing different methods to adjust infection rates of a hard-to-reach, sparse population. Medicine. 2018;97(1 Suppl 1):S16-24. https://doi.org/10.1097/MD.0000000000009447
https://doi.org/10.1097/MD.0000000000009...
.

Regarding FSW, international studies indicate high levels of HIV prevalence in this group: in India, 16%; in Nigeria, 50 to 70% (and only 2.3 to 3.8% in the general population) (1515 Singh TN, Kananbala S, Thongam W, Devi KhS, Singh NB. Increasing trend of HIV seropositivity among commercial sex workers attending the Voluntary and Confidential Counseling and Testing Centre in Manipur, India. Int J STD AIDS. 2005;16(2):166-9. https://doi.org/10.1258/0956462053057684
https://doi.org/10.1258/0956462053057684...
), (1616 Forbi JC, Onyemauwa N, Gyar SD, Oyeleye AO, Entonu P, Agwale SM. High prevalence of hepatitis B virus among female sex workers in Nigeria. Rev Inst Med Trop S Paulo. 2008;50(4):219-21. http://dx.doi.org/10.1590/S0036-46652008000400006
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), (1717 Imade G, Sagay A, Egah D, Onwuliri V, Grigg M, Egbodo C, et al. Prevalence of HIV and other sexually transmissible infections in relation to lemon or lime juice douching among female sex workers in Jos, Nigeria. Sex Health. 2008;5(1):55-60.), (1818 Joint United Nations Programme on HIV/AIDS. Report on the Global AIDS Epidemic. Geneva: UNAIDS; 2008..In Brazil, the FSW group is estimated to represent 0.8% of the female population aged 15 to 49 - over half a million women. HIV prevalence in this group is much higher than in the general Brazilian female population1919 Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Departamento de DST, Aids e Hepatites Virais. Pesquisa de conhecimento, atitudes e práticas na população brasileira. Brasília, DF; 2016.)- (2020 Ferreira Júnior ODC, Guimarães MDC, Damacena GN, Almeida WS, Souza Júnior PRB, Szwarcwald CL. Prevalence estimates of HIV, syphilis, hepatitis B and C among female sex workers (FSW) in Brazil, 2016. Medicine. 2018;97(1S Suppl 1):S3-S8. https://doi.org/10.1097/MD.0000000000009218
https://doi.org/10.1097/MD.0000000000009...
.

This article describes the implementation of the RDS sampling method in a 2016 FWS survey carried out in 12 Brazilian cities.

METHOD

The “Comprehensive Nationwide Study on Female Sex Workers’ Behavior, Attitudes, Practices, and Prevalence of HIV, Syphilis and Hepatitis B and C - Health Chain Project II” (Estudo de abrangência nacional de comportamentos, atitudes, práticas e prevalência de HIV, sífilis e hepatites B e C entre mulheres profissionais do sexo - Projeto Corrente da Saúde II) was conducted in 2016. It was comprised of a biological and behavioral surveillance research, with testing for HIV infection, syphilis, and hepatitis B and C, together with the application of a socio-behavioral questionnaire.

The research project was approved by Oswaldo Cruz Foundation’s Research Ethics Committee (Protocol number 1,338,989), and followed the guidelines of the National Health Council, ensuring voluntary participation and anonymity to all interviewees. All respondents signed an Term of Free and Informed Consent (TFIC), and were allowed to discontinue their participation at any time.

STUDY DESIGN AND ELIGIBILITY

The study was conducted in 12 Brazilian cities: Manaus, Belém, Fortaleza, Recife, Salvador, Belo Horizonte, Rio de Janeiro, São Paulo, Curitiba, Porto Alegre, Brasília, and Campo Grande. Data was collected between June and November 2016.

A predefined minimum sample size of 350 valid interviews per city resulted in a predefined minimum total sample of 4,200 FSW. In some municipalities the sample exceeded the predefined minimum, so the study’s actual total sample amounted to 4,328 interviewed FSW (Table 1). The included cities and minimum sample size were established by the Ministry of Health’s Department of Chronic Condition Diseases and Sexually Transmitted Infections (Departamento de Doenças de Condições Crônicas e Infecções Sexualmente Transmissíveis - DCCI), according to geographic and epidemiological-relevance criteria affecting HIV/AIDS prevalence in Brazil.

Eligibility criteria were: (1) to be biologically female; (2) to be at least 18 years old; (3) to be a sex worker in one of the surveyed municipalities; (4) to have exchanged sex for money at least once in the four months prior to the study; (5) to be in possession of a valid coupon; (6) no participation in the previous iteration of the survey; (7) to show no signs of being under the influence of drugs or alcohol at the time of participation; (8) to voluntarily accept the invitation, signing an TFIC.

FIELD WORK, ORGANIZATION AND TEAM TRAINING

Prior to data collection, a preparatory survey was conducted between January and March 2016, in order to facilitate the study’s implementation in each city. Focus groups and/or in-depth interviews were conducted with the FSW and their local representations2121 Johnston LG, Whitehead S, Simic-Lawson M, Kendall C. Formative research to optimize respondent-driven sampling surveys among hard-to-reach populations in HIV behavioral and biological surveillance: lessons learned from four case studies. AIDS Care. 2010;22(6):784-92. https://doi.org/10.1080/09540120903373557
https://doi.org/10.1080/0954012090337355...
. In this process, the following preparatory data was sought: main prostitution zones in the city; diversity of FSW types; FSW interest in educational and promotional materials; optimal survey locale and service schedule; possible “seeds” (as explained below); focal points, leaders and NGOs to encourage study participation and assist recruitment.

In each city, 5 to 10 initial participants - the so-called “seeds” (Table 1) - were non-randomly chosen. These had varied individual characteristics, in an attempt to encompass the diversity of existing FSW types2222 Wylie JL, Jolly AM. Understanding recruitment: outcomes associated with alternate methods for seed selection in respondent driven sampling. BMC Med Res Methodol. 2013;13:93. https://doi.org/10.1186/1471-2288-13-93
https://doi.org/10.1186/1471-2288-13-93...
.

In the RDS method, recruitment is performed by distributing a fixed number of coupons to each participant77 Heckathorn DD. Respondent-Driven Sampling: a new approach to the study of hidden populations. Soc Probl. 1997;44(2):174-99. https://doi.org/10.2307/3096941
https://doi.org/10.2307/3096941...
. These coupons contain a serial number that is later used for social network design and recruitment pattern analysis2323 Johnston LG, Malekinejad M, Kendall C, Iuppa IM, Rutherford GW. Implementation challenges to using respondent-driven sampling methodology for HIV biological and behavioral surveillance: field experiences in international settings. AIDS Behav. 2008;12(4 Suppl):S131-41. https://doi.org/10.1007/s10461-008-9413-1
https://doi.org/10.1007/s10461-008-9413-...
. Each participant was given three coupons, in accordance with the model used in the 2009 survey55 Damacena GN, Szwarcwald CL, Barbosa Júnior A. Implementation of respondent-driven sampling among female sex workers in Brazil, 2009. Cad Saúde Pública. 2011;27(Suppl 1):S45-S55. http://dx.doi.org/10.1590/S0102-311X2011001300006
http://dx.doi.org/10.1590/S0102-311X2011...
. The average number of invitees who effectively participated in the survey ranged from 2.3 to 2.8 (Table 1).

Table 1
Sample size, number of seeds, and average number of invitees per city, 2016.

Each coupon was tagged with an RDS Code, in order to prevent fraud and enable the subsequent identification of recruitment patterns. The RDS Code consisted of two letters (city name initials), followed by a number and a letter (seed identification) and a set of numbers (wave identification) (Figure 1).

Figure 1
Model for network recruitment identification code used in coupons, 2016.

Fieldwork was carried out in health facilities, except in Rio de Janeiro and Belo Horizonte, where the participating FSW indicated other places, which were easier for them to access.

The survey staff was divided into a central team and individual city teams. The central team was composed of a general coordinator, a deputy coordinator, a field coordinator, a laboratory coordinator, and an information collection and monitoring coordinator. The city teams were composed of a coordinator, a supervisor, a counselor, an interviewer, a phlebotomist, and a test applicator (Figure 2).

Figure 2
FSW participation flow, 2016.

The city teams were trained by the central coordination in the health units where the research was conducted. This provided knowledge on local dynamics and organization. Test applicators underwent centralized training at the Molecular Virology Laboratory of the Federal University of Rio de Janeiro (LVM/UFRJ), led by the study’s laboratory coordinator.

DATA COLLECTION INSTRUMENTS

Microsoft Access software was used to develop a program called Invitation Manager, operated by the supervisor. The program had the following purposes: to generate and print labels with the RDS Code; to fill in individual FSW’s eligibility information and social network size; to store rapid test (RT) results; to track fieldwork by means of a task backlog and a picture of the local network - which acquired a more defined form as the number of participants grew - interfaced with R software’s RDS library2424 R Development Core Team. R: a language and environment for statistical computing. Vienna: The R Foundation for Statistical Computing, Viena, Áustria..

The socio-behavioral questionnaire was elaborated in collaboration with the DCCI and included the following modules: FSW sociodemographic and work characteristics; knowledge about HIV transmission and other sexually transmitted infections (STIs); social support and access to educational and preventive materials; frequency of HIV, syphilis, and hepatitis B and C tests; health status and health care insurance status; violence; sexual behavior with steady partners and clients; alcohol and drug use. The socio-behavioral questionnaire was developed in the SurveyMonkey system2525 SurveyMonkey.com [Internet]. San Mateo, CA [cited 2019 Jun 10]. Available from: https://pt.surveymonkey.com/
https://pt.surveymonkey.com/...
, and answered via internet, allowing real-time monitoring by the central coordination. A trained interviewer applied the questionnaire, with the aid of a tablet, in a private place, thus maintaining participants’ anonymity.

RECRUITMENT INCENTIVES

All interviewees received primary incentives such as snacks, personal care items, condoms and lubricants, as well as BRL 10 for transportation expenses. There were also secondary incentives, given to the participants for up to three successful recruitment referrals. Each successful referral paid BRL 30, totaling a maximum of BRL 90.

LABORATORY TESTS (HIV, SYPHILIS, HEPATITIS B and C)

Rapid tests (RTs) for HIV, syphilis, HBV and HCV were performed, in accordance with DCCI recommendations2626 Ferreira Jr OC, Franchini M, Bazzo ML, Motta LR, Veras NMC, Wersom ESS, et al. Manual técnico para o diagnóstico da infecção pelo HIV. Brasília, DF: Ministério da Saúde, Secretaria de Vigilância em Saúde, Departamento de Vigilância, Prevenção e Controle das Doenças Sexualmente Transmissíveis, Aids e Hepatites Virais; 2015.. Two 5 mL EDTA tubes-worth of venous blood were collected, and participants’ RDS Code labels were attached to them. One tube was separated for the RTs; the other, containing a gel plug, was centrifuged to separate the plasma, and stored in a freezer at 20 °C until transfer to the LVM/UFRJ, where confirmatory tests were performed. Confirmatory testing was performed only when RTs had at least one reactive result for the assayed infections. In case of no reactive test, the frozen tube was discarded. Participants who refused venous blood collection were offered the option of performing the RT via fingerstick capillary sampling, without confirmatory examinations.

RT results were delivered to the interviewees during post-test counseling. In case of a reactive result, the participant was informed that the RTs were for triage and that she would be referred to the public health service for confirmatory tests and follow-up.

Antibodies were assayed using the following RTs: HIV (HIV Test Bioeasy, Standard Diagnostic Inc., Korea, and ABON HIV 1/2/O Tri-Line Human Immunodeficiency Virus Rapid Test Device, China); Treponemal syphilis test (SD BIOLINE Syphilis 3.0, Standard Diagnostic Inc., Korea), HBV (Vikia HBsAg, BioMérieux SA, France) and HCV (ALERE HCV, Standard Diagnostic Inc., Korea). According to the DCCI recommendation, a reactive result on the initial HIV RT (HIV Test Bioeasy, Standard Diagnostic Inc., Korea) should be followed by a second HIV RT from a different manufacturer (ABON HIV 1/2/O Tri-Line Human Immunodeficiency Virus Rapid Test Device, China).

Confirmatory tests used in the study were: HIV-1 Western Blot for HIV (Cambridge Biotech HIV-1 Western Blot Kit, Maxim Biomedical, Inc., USA); rapid plasma reagin (RPR) for syphilis (RPR Syphilis, WAMA Diagnóstica, Brazil); viral load for HBV (Abbott RealTime HBV viral load assay, Abbott Laboratories, USA) and HCV (Abbott RealTime HCV viral load assay, Abbott Laboratories, USA).

At the end of fieldwork in each city, a company specializing in biological transport transferred the frozen tubes to the LVM/UFRJ using a single shipment, so confirmatory testing could be performed.

The diagnostic algorithms and interpretations used in this study followed the DCCI’s recommendations: (a) HIV infection confirmed by positive Western blot result; (b) active syphilis infection defined by an RPR titer equal to or greater than 1/8; (c) viremia period of HBV and HCV infections characterized by a detectable (or quantifiable) viral load.

DATA ANALYSIS

A database was built using information from SurveyMonkey, the Invitation Manager, and confirmatory lab results.

The magnitude of each participant’s network was measured by the following question: “How many sex workers who work here in the city do you know personally, i.e., people who you know and who know you?”.

As recommended by Salganik66 Salganik MJ, Heckathorn DD. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling. Social Methodology. 2004;34(1):193-240. https://doi.org/10.1111/j.0081-1750.2004.00152.x
https://doi.org/10.1111/j.0081-1750.2004...
, sample weighting was based on the inverse probability of each participant’s selection, proportional to the size of the network, with the exclusion of seeds. Network sizes were limited to the [3, 150] interval, that is, values smaller than 3 were replaced by 3, and values greater than 150 were replaced by 150, so as to correct outliers2727 Gonçalves B, Perra N, Vespignani A. Modeling users' activity on Twitter networks: validation of Dunbar's number. PLoS ONE. 2011; 6(8):e22656. https://doi.org/10.1371/journal.pone.0022656
https://doi.org/10.1371/journal.pone.002...
. The average size of reported personal networks was 11.54 personally known other sex workers.

For data analysis, the complex design of RDS sampling was considered. Although RDS recruitment is not a classic probabilistic sample, the generated sample can be considered stratified by clusters with different selection probabilities2828 Szwarcwald CL, de Souza Júnior PR, Damacena GN, Junior AB, Kendall C. Analysis of data collected by RDS among sex workers in 10 Brazilian cities, 2009: estimation of the prevalence of HIV, variance, and design effect. J Acquir Immune Defic Syndr. 2011;57(Suppl 3):S129-35. https://doi.org/10.1097/QAI.0b013e31821e9a36
https://doi.org/10.1097/QAI.0b013e31821e...
)- (3030 Gile KJ, Handcock MS. Respondent-Driven Sampling: an assessment of current methodology. Sociol methodol. 2010;40(1):285-327. https://doi.org/10.1111/j.1467-9531.2010.01223.x
https://doi.org/10.1111/j.1467-9531.2010...
. The strata were comprised of the 12 included cities. In each stratum, the weighting was inversely proportional to each participant’s network size, and together they composed the total strata size. To consider the dependence between observations, each recruiter’s invitees were regarded as a cluster3131 Heckathorn DD, Semaan S, Broadhead RS, Hughes JJ. Extensions of Respondent-Driven Sampling: a new approach to the study of injection drug users aged 18-25. AIDS Behav 2002;6(1):55-67. https://doi.org/10.1023/A:1014528612685
https://doi.org/10.1023/A:1014528612685...
.

The effect of homophilia - which can influence the prevalence estimates of HIV and other STIs (i.e., recruiters inviting participants sharing similar personal characteristics) - was taken into account2020 Ferreira Júnior ODC, Guimarães MDC, Damacena GN, Almeida WS, Souza Júnior PRB, Szwarcwald CL. Prevalence estimates of HIV, syphilis, hepatitis B and C among female sex workers (FSW) in Brazil, 2016. Medicine. 2018;97(1S Suppl 1):S3-S8. https://doi.org/10.1097/MD.0000000000009218
https://doi.org/10.1097/MD.0000000000009...
. Estimators should be calculated at equilibrium, by composing the conditional prevalence in the negative and positive recruiter groups, respectively2828 Szwarcwald CL, de Souza Júnior PR, Damacena GN, Junior AB, Kendall C. Analysis of data collected by RDS among sex workers in 10 Brazilian cities, 2009: estimation of the prevalence of HIV, variance, and design effect. J Acquir Immune Defic Syndr. 2011;57(Suppl 3):S129-35. https://doi.org/10.1097/QAI.0b013e31821e9a36
https://doi.org/10.1097/QAI.0b013e31821e...
.

RESULTS

Four thousand, three hundred and twenty-eight (4,328) RDS-recruited FSW in 12 Brazilian cities participated in the survey. The minimum sample size was 350 FSW in each city, with 3 coupons distributed to each participant. Primary incentives were offered to all participants, and secondary incentives to all who recruited other women. Thus, the percentage of incentive withdrawal was 100%. Among the women who attended the survey, 70 were not included in the sample because they did not meet the eligibility criteria.

Regarding biological surveillance, venous blood was collected to perform RTs and track HIV, syphilis, and hepatitis B and C infections. Reactive samples from any RT were subsequently subjected to confirmatory testing. Most participants (98.7%) agreed to collect venous blood in order to carry out RTs followed by confirmatory tests when necessary; 1.2% agreed only to fingerstick capillary sampling. Only 8 participants refused the collection of any blood sample.

For behavioral surveillance, a socio-behavioral questionnaire was applied in order to obtain the following information: sociodemographic and work characteristics as FSW; knowledge about HIV and other STIs transmission; social support and access to educational and preventive materials; frequency of HIV, syphilis and hepatitis B and C tests; health status and healthcare insurance status; violence; sexual behavior with steady partners and clients; alcohol and drug use.

For data analysis, the sample was weighted according to the size of each participant’s network. RDS sampling complex design and the homophilia effect were duly considered.

DISCUSSION

This research stemmed from the need to continue the baseline started in 2009, performing studies with probabilistic samples to estimate the prevalence rates of HIV, syphilis, hepatitis B and C, and to provide information on risk practices related to HIV among FSW in Brazil. Our second application of the RDS method to FSW, in 2016, allowed for an evaluation of biological and behavioral indicators related to HIV/AIDS and syphilis nine years after the first study, starting a baseline for hepatitis B and C1313 Szwarcwald CL, Almeida WS, Damacena GN, Souza Júnior PRB, Ferreira Júnior ODC, Guimarães MDC. Changes in attitudes, risky practices, and HIV and syphilis prevalence among female sex workers in Brazil from 2009 to 2016. Medicine. 2018;97(1 Suppl 1):S46-S53. https://doi.org/10.1097/MD.0000000000009227
https://doi.org/10.1097/MD.0000000000009...
.

Although RDS methods for obtaining a statistical sample are based on solid statistical premises, allowing for the estimation of statistical parameters as well as statistical inference, with each new application the method has been reassessed. Several data analysis procedures have been proposed, with new suggestions for data weightting and processing. These suggestions are publicly available in the RDS-Analyst software (2828 Szwarcwald CL, de Souza Júnior PR, Damacena GN, Junior AB, Kendall C. Analysis of data collected by RDS among sex workers in 10 Brazilian cities, 2009: estimation of the prevalence of HIV, variance, and design effect. J Acquir Immune Defic Syndr. 2011;57(Suppl 3):S129-35. https://doi.org/10.1097/QAI.0b013e31821e9a36
https://doi.org/10.1097/QAI.0b013e31821e...
), (2929 Handcock MS, Gile KJ, Mar CM. Estimating hidden population size using Respondent-Driven Sampling data. Electron J Stat 2014;8(1):1491-1521. https://doi.org/10.1214/14-EJS923
https://doi.org/10.1214/14-EJS923...
), (3131 Heckathorn DD, Semaan S, Broadhead RS, Hughes JJ. Extensions of Respondent-Driven Sampling: a new approach to the study of injection drug users aged 18-25. AIDS Behav 2002;6(1):55-67. https://doi.org/10.1023/A:1014528612685
https://doi.org/10.1023/A:1014528612685...
), (3232 Abdul-Quader AS, Heckathorn DD, Sabin K, Saidel T. Implementation and analysis of respondent driven sampling: lessons learned from the field. J Urban Health 2006;83(6 Suppl):i1-5. https://doi.org/10.1007/s11524-006-9108-8
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), (3333 Salganik M. Variance estimation, design effects, and sample size calculations for respondent-driven sampling. J Urban Health 2006;83(6 Suppl):i98-112. https://doi.org/10.1007/s11524-006-9106-x
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.

In the whole-sample data analysis, a procedure equivalent to RDS-II2929 Handcock MS, Gile KJ, Mar CM. Estimating hidden population size using Respondent-Driven Sampling data. Electron J Stat 2014;8(1):1491-1521. https://doi.org/10.1214/14-EJS923
https://doi.org/10.1214/14-EJS923...
was used; the estimators were found to be robust and consistent with those from 20092828 Szwarcwald CL, de Souza Júnior PR, Damacena GN, Junior AB, Kendall C. Analysis of data collected by RDS among sex workers in 10 Brazilian cities, 2009: estimation of the prevalence of HIV, variance, and design effect. J Acquir Immune Defic Syndr. 2011;57(Suppl 3):S129-35. https://doi.org/10.1097/QAI.0b013e31821e9a36
https://doi.org/10.1097/QAI.0b013e31821e...
), (3131 Heckathorn DD, Semaan S, Broadhead RS, Hughes JJ. Extensions of Respondent-Driven Sampling: a new approach to the study of injection drug users aged 18-25. AIDS Behav 2002;6(1):55-67. https://doi.org/10.1023/A:1014528612685
https://doi.org/10.1023/A:1014528612685...
and from the study with transsexual and transvestite women1414 Bastos FI, Bastos LS, Coutinho C, Toledo L, Mota JC, Velasco-de-Castro CA, et. al. HIV, HCV, HBV, and syphilis among transgender women from Brazil: assessing different methods to adjust infection rates of a hard-to-reach, sparse population. Medicine. 2018;97(1 Suppl 1):S16-24. https://doi.org/10.1097/MD.0000000000009447
https://doi.org/10.1097/MD.0000000000009...
. The obtained sample, consisting of more than 4,000 FSW across 12 cities, was of great relevance for assessing progress and identifying problems in STI prevention and care.

However, large per-site variations were found, depending on the characteristics of the networks. There were discrepant results in cities that had already been studied in 2009. These variations are due to the small sample size of 350 participants per city, covering different subsets of the municipal FSW population.

The findings’ lack of reproducibility is related to the inclusion of distinct social networks in RDS studies carried out within the same city. The international literature has also reported lack of results reproducibility in RDS studies conducted at the same location over different time periods3434 Khatib A, Haji S, Khamis M, Said C, Khalid F, Dahoma M, et al. Reproducibility of Respondent-Driven Sampling (RDS) in repeat surveys of men who have sex with men, Unguja, Zanzibar. AIDS Behav 2017;21(7):2180-7. https://doi.org/10.1007/s10461-016-1632-2
https://doi.org/10.1007/s10461-016-1632-...
. One of the limitations of the RDS methodology lies in its very foundation, i.e., the development of networks being driven by participants themselves. In the case of significant homophilia effects, individual characteristics of surveyed participants become similar, especially when the sample is insufficient to represent the diversity of the studied population3535 Kuhns LM, Kwon S, Ryan DT, Garofalo R, Phillips G 2nd, Mustanski BS. Evaluation of respondent-driven sampling in a study of urban young men who have sex with men. J Urban Health 2015; 92(1):151-67. https://doi.org/10.1007/s11524-014-9897-0
https://doi.org/10.1007/s11524-014-9897-...
.

Another factor affecting network development are peer recruitment incentives. The need for obtaining these incentives foster a predominant participation of certain key populations, such as people who use drugs. This occurred in Salvador, where the network was composed of street FSW and drug users, affecting behavioral indicators and leading to the overestimation of HIV prevalence. Thus, the Salvador network does not represent the city’s FSW population, but rather a specific network of street workers under very poor living conditions from a restricted area of the city (Figure 3).

Figure 3
Picture of the Salvador FSW network, 2016.

In the 2016 RDS research, secondary incentives were necessary to stimulate participation, as time and resources were quite limited. According to Heckathorn77 Heckathorn DD. Respondent-Driven Sampling: a new approach to the study of hidden populations. Soc Probl. 1997;44(2):174-99. https://doi.org/10.2307/3096941
https://doi.org/10.2307/3096941...
, secondary incentives bring forth social influences that bias the sampling process. On the flipside, they attract people under great vulnerability, usually unknown to the health system.

The implementation of secondary incentives needs to be evaluated for its effectiveness in regards to RDS assumptions, since incentives can constitute a parallel currency among individuals at low socioeconomic levels. This can result in duplicates within the sample, participation of non-eligible individuals, and even clashes between individuals in the key population. In the 2016 experience of implementing RDS among FSW in Brazil, the secondary incentive streamlined network development to a short period of fieldwork. On the other hand, in some cities the network was developed faster by more vulnerable, lower socioeconomic-level FSW, motivated by the secondary incentive’s monetary gain.

Another important issue regards the minimum sample size per city, which acted as a constraint on network development, disallowing changes in status, characteristics, interests, or, in mathematical language, the transition from a Markov state to another55 Damacena GN, Szwarcwald CL, Barbosa Júnior A. Implementation of respondent-driven sampling among female sex workers in Brazil, 2009. Cad Saúde Pública. 2011;27(Suppl 1):S45-S55. http://dx.doi.org/10.1590/S0102-311X2011001300006
http://dx.doi.org/10.1590/S0102-311X2011...
.

RDS is a methodological advancement, as it provides a probabilistic sample insofar as recruitment procedures are adhered to, using members’ own knowledge of key populations to recruit other members. The experience of applying RDS among FSW in 2009 served to facilitate the development of the 2016 study. In addition, the 2009 study established the methodology of analysis for data collected using RDS55 Damacena GN, Szwarcwald CL, Barbosa Júnior A. Implementation of respondent-driven sampling among female sex workers in Brazil, 2009. Cad Saúde Pública. 2011;27(Suppl 1):S45-S55. http://dx.doi.org/10.1590/S0102-311X2011001300006
http://dx.doi.org/10.1590/S0102-311X2011...
), (2828 Szwarcwald CL, de Souza Júnior PR, Damacena GN, Junior AB, Kendall C. Analysis of data collected by RDS among sex workers in 10 Brazilian cities, 2009: estimation of the prevalence of HIV, variance, and design effect. J Acquir Immune Defic Syndr. 2011;57(Suppl 3):S129-35. https://doi.org/10.1097/QAI.0b013e31821e9a36
https://doi.org/10.1097/QAI.0b013e31821e...
. We were able to reuse this methodology in the 2016 research.

CONCLUSION

The 2016 application of the RDS methodology among FSW from 12 Brazilian cities led to a sample of 4,000 participants, which allowed for a comparison with the results of the 2009 study. This comparison facilitates an evaluation of progress and the identification of the challenges that still have to be overcome. The collected information is being used to support public policies for prevention and treatment of STIs in this key population. The analysis of RDS recruitment limitations will be useful for proposing adjustments in the methodology, so more reliable information can be obtained.

Acknowledgments

To each female sex worker who participated in the study and to all collaborators, including NGOs, focal points, and members of the local study teams. To the Ministry of Health’s Department of Chronic Condition Diseases and Sexually Transmitted Infections.

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  • Financial support: United Nations Educational, Scientific and Cultural Organization (UNESCO).

Publication Dates

  • Publication in this collection
    26 Sept 2019
  • Date of issue
    2019

History

  • Received
    07 Jan 2019
  • Reviewed
    18 June 2019
  • Accepted
    03 July 2019
Associação Brasileira de Pós -Graduação em Saúde Coletiva São Paulo - SP - Brazil
E-mail: revbrepi@usp.br