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      Sexual and reproductive health services utilization by female sex workers is context-specific: results from a cross-sectional survey in India, Kenya, Mozambique and South Africa

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          Abstract

          Background

          Female sex workers (FSWs) are extremely vulnerable to adverse sexual and reproductive health (SRH) outcomes. To mitigate these risks, they require access to services covering not only HIV prevention but also contraception, cervical cancer screening and sexual violence. To develop context-specific intervention packages to improve uptake, we identified gaps in service utilization in four different cities.

          Methods

          A cross-sectional survey was conducted, as part of the baseline assessment of an implementation research project. FWSs were recruited in Durban, South Africa ( n = 400), Mombasa, Kenya ( n = 400), Mysore, India ( n = 458) and Tete, Mozambique ( n = 308), using respondent-driven sampling (RDS) and starting with 8-16 ‘seeds’ identified by the peer educators. FSWs responded to a standardised interviewer-administered questionnaire about the use of contraceptive methods and services for cervical cancer screening, sexual violence and unwanted pregnancies. RDS-adjusted proportions and surrounding 95% confidence intervals were estimated by non-parametric bootstrapping, and compared across cities using post-hoc pairwise comparison tests with Dunn–Šidák correction.

          Results

          Current use of any modern contraception ranged from 86.2% in Tete to 98.4% in Mombasa ( p = 0.001), while non-barrier contraception (hormonal, IUD or sterilisation) varied from 33.4% in Durban to 85.1% in Mysore ( p < 0.001). Ever having used emergency contraception ranged from 2.4% in Mysore to 38.1% in Mombasa ( p < 0.001), ever having been screened for cervical cancer from 0.0% in Tete to 29.0% in Durban ( p < 0.001), and having gone to a health facility for a termination of an unwanted pregnancy from 15.0% in Durban to 93.7% in Mysore ( p < 0.001). Having sought medical care after forced sex varied from 34.4% in Mombasa to 51.9% in Mysore ( p = 0.860). Many of the differences between cities remained statistically significant after adjusting for variations in FSWs’ sociodemographic characteristics.

          Conclusion

          The use of SRH commodities and services by FSWs is often low and is highly context-specific. Reasons for variation across cities need to be further explored. The differences are unlikely caused by differences in socio-demographic characteristics and more probably stem from differences in the availability and accessibility of SRH services. Intervention packages to improve use of contraceptives and SRH services should be tailored to the particular gaps in each city.

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          Most cited references40

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          Nonparametric Pairwise Multiple Comparisons in Independent Groups using Dunn's Test

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            Respondent-Driven Sampling: An Assessment of Current Methodology.

            Respondent-Driven Sampling (RDS) employs a variant of a link-tracing network sampling strategy to collect data from hard-to-reach populations. By tracing the links in the underlying social network, the process exploits the social structure to expand the sample and reduce its dependence on the initial (convenience) sample.The current estimators of population averages make strong assumptions in order to treat the data as a probability sample. We evaluate three critical sensitivities of the estimators: to bias induced by the initial sample, to uncontrollable features of respondent behavior, and to the without-replacement structure of sampling.Our analysis indicates: (1) that the convenience sample of seeds can induce bias, and the number of sample waves typically used in RDS is likely insufficient for the type of nodal mixing required to obtain the reputed asymptotic unbiasedness; (2) that preferential referral behavior by respondents leads to bias; (3) that when a substantial fraction of the target population is sampled the current estimators can have substantial bias.This paper sounds a cautionary note for the users of RDS. While current RDS methodology is powerful and clever, the favorable statistical properties claimed for the current estimates are shown to be heavily dependent on often unrealistic assumptions. We recommend ways to improve the methodology.
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              Socio-demographic characteristics and behavioral risk factors of female sex workers in sub-saharan Africa: a systematic review.

              Sex work remains an important contributor to HIV transmission within early, advanced and regressing epidemics in sub-Saharan Africa, but its social and behavioral underpinnings remain poorly understood, limiting the impact of HIV prevention initiatives. This article systematically reviews the socio-demographics of female sex workers (FSW) in this region, their occupational contexts and key behavioral risk factors for HIV. In total 128 relevant articles were reviewed following a search of Medline, Web of Science and Anthropological Index. FSW commonly have limited economic options, many dependents, marital disruption, and low education. Their vulnerability to HIV, heightened among young women, is inextricably linked to the occupational contexts of their work, characterized most commonly by poverty, endemic violence, criminalization, high mobility and hazardous alcohol use. These, in turn, predict behaviors such as low condom use, anal sex and co-infection with other sexually transmitted infections. Sex work in Africa cannot be viewed in isolation from other HIV-risk behaviors such as multiple concurrent partnerships-there is often much overlap between sexual networks. High turn-over of FSW, with sex work duration typically around 3 years, further heightens risk of HIV acquisition and transmission. Targeted services at sufficiently high coverage, taking into account the behavioral and social vulnerabilities described here, are urgently required to address the disproportionate burden of HIV carried by FSW on the continent.
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                Author and article information

                Contributors
                yves.lafort@ugent.be
                rgreener@matchresearch.co.za
                aroy6520@googlemail.com
                lgreener@matchresearch.co.za
                wombidi@gmail.com
                lessitalafaustino@yahoo.fr
                j.skordis-worrall@ucl.ac.uk
                mbeksinska@matchresearch.co.za
                Peter@icrhk.org
                rezapaul@cc.umanitoba.ca
                jsmit@matchresearch.co.za
                matthew.chersich@wits.ac.za
                Wim.Delva@UGent.be
                Journal
                Reprod Health
                Reprod Health
                Reproductive Health
                BioMed Central (London )
                1742-4755
                19 January 2017
                19 January 2017
                2017
                : 14
                : 13
                Affiliations
                [1 ]ISNI 0000 0001 2069 7798, GRID grid.5342.0, International Centre for Reproductive Health, , Ghent University, ; Ghent, Belgium
                [2 ]MatCH Research Unit (Maternal, Adolescent and Child Health Research Unit), Faculty of Health Sciences, University of the Witwatersrand, Durban, South Africa
                [3 ]Ashodaya Samithi, Mysore, India
                [4 ]GRID grid.429139.4, , International Centre for Reproductive Health-Kenya, ; Mombasa, Kenya
                [5 ]GRID grid.463127.5, , International Centre for Reproductive Health-Mozambique, ; Maputo, Mozambique
                [6 ]ISNI 0000000121901201, GRID grid.83440.3b, Institute for Global Health, , University College London, ; London, UK
                [7 ]ISNI 0000 0001 2019 0495, GRID grid.10604.33, , University of Nairobi, ; Nairobi, Kenya
                [8 ]ISNI 0000 0004 1936 9609, GRID grid.21613.37, , University of Manitoba, ; Winnipeg, Canada
                [9 ]ISNI 0000 0004 1937 1135, GRID grid.11951.3d, Wits Reproductive Health and HIV Institute, , Faculty of Health Sciences, University of the Witwatersrand, ; Johannesburg, South Africa
                [10 ]ISNI 0000 0001 2214 904X, GRID grid.11956.3a, The South African DST-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), , University of Stellenbosch, ; Stellenbosch, South Africa
                [11 ]Center for Statistics, Hasselt University, Diepenbeek, Belgium
                Author information
                http://orcid.org/0000-0003-1380-2064
                Article
                277
                10.1186/s12978-017-0277-6
                5247811
                28103896
                cb244f34-dc97-4b78-a484-07ff44b245a7
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 22 October 2016
                : 4 January 2017
                Funding
                Funded by: EC 7th Framework Programme
                Award ID: Health-F3-2011-282542
                Award Recipient :
                Funded by: International Department Flanders
                Award ID: A11/TT/0382
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2017

                Obstetrics & Gynecology
                female sex workers,sexual and reproductive health,care seeking behaviour,sub-saharan africa,india

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