Author/ citation | Country | Study aim | Study design/type of data |
---|---|---|---|
Aho et al., (2011) [35] | Guinea | To describe the acceptability and outcomes of HTC among a stigmatised and vulnerable group. | Baseline: Interview / FGDs & survey (n = 421) plus HIV screen. Follow-up survey (n = 223) plus HIV test; Sampling: attendees at private or public centres providing healthcare services. |
Ameyan et al., (2015) [36] | Ethiopia | To explore the barriers to utilising HTC facilities and identify the motives and motivations of FSWs who seek HTC. | Cross-sectional qualitative study; In-depth interviews with FSWs (20); Purposive sampling. |
Batona et al., (2015) [42] | Benin | To identify psychosocial factors associated with the intention to be HIV tested. | Cross-sectional study; Questionnaire survey (n = 450); Cluster sampling; |
Dugas et al., (2015) [43] | Benin | To examine the potential of 3 different categories of outreach intervention to increase the use of testing services in Benin. | Cross-sectional ethnographic study (semi-structure interviews (n = 66); Purposive sampling |
Langa et al., (2014) [44] | Mozambique. | To assess HIV risk perception, sexual behaviour and treatment seeking among FSWs. | In-depth semi-structured interviews & focus group discussions; n = 236 FSWs from three sites; Snowball sampling approach. |
Nakanwagi et al., (2016) [45] | Uganda | To identify the facilitators and barriers to linkage to HIV care among FSWs who tested positive to design appropriate HIV interventions for this key population group. | Cross-sectional qualitative study; In-depth interviews (n = 28 FSWs); Purposively selection of FSWs accessing HIV services from mobile outreaches. |
Scorgie et al., (2013) [46] | Kenya; Uganda; Zimbabwe; South Africa | To examine experience of key populations in seeking public and private healthcare and barriers to accessing these services. | Cross sectional qualitative study; In-depth interviews (n = 55) & focus group discussions; Snowball sampling. |
Lafort et al., (2016) [47] | Kenya, Mozambique; South Africa | To assess where FSW go for care in different settings, and what motivates their choice. | Multi-site cross-sectional survey (South Africa (n = 400), Tete, Mozambique (n = 308), Mombasa, Kenya (n = 400); Respondent-driven sampling (RDS). |
Lafort (2016) [48] | Mozambique | Assess factors that facilitate or hinder utilisation of HIV and sexual and reproductive health services among FSWs. | Cross-sectional survey (n = 311); together with In-depth interviews & Focus Group Discussion (FGDs); Respondent-driven sampling (RDS) |
Luseno et al., (2009), [38] | South Africa | To identify factors that facilitates or hinders HIV testing among South African women with high risk for HIV infection. | Randomised trial; baseline data (n = 425); Participant recruited through targeted street outreach. |
Mulongo et al. (2015) [49] | Democratic Republic of Congo | To assess the impact of community-based prevention and HIV counselling and testing approaches in reaching FSWs with prevention messaging and treatment options. | Participatory appraisal including follow-up testing, care, and treatment to HIV positive individuals; Snowball sampling |
Renzaho et al., (2009) [37] | Tanzania | To explore the knowledge and practices about HIV among female sex workers (CSWs) and assess the contextual dynamics that prevent safer sexual behaviours. | Semi-structured face-to-face interviews (=54) & discrete focus group discussions (n = 26); Snowball sampling approach. |
Chanda et al., (2017) [41] | Zambia | To explore perceived barriers and facilitators of HIV testing among FSWs | Cross-sectional; focus groups (N = 5), total participants = 40) |
Wanyenze et al., (2017) [39] | Uganda | To explore barriers to HIV service access and opportunities for increasing access to services | Cross-sectional study; focus group discussion (FGD) (n = 24), total participants = 190 |
Nyblade et al., (2017) [40] | Kenya | To explore the relationship between healthcare worker sex-work stigma and HIV counselling and testing & utilisation of non-HIV health services among female and male sex workers | Cross-sectional survey; snowball sample of 497 FSWs |