| Literature DB >> 32414352 |
Peter Dambach1, Bathsheba Mahenge2, Irene Mashasi3, Aisa Muya3, Dale A Barnhart4, Till W Bärnighausen5,6,7, Donna Spiegelman4,6,8,9,10, Guy Harling4,7,11,12,13.
Abstract
BACKGROUND: Although sex workers are considered a key population in the HIV epidemic in sub-Saharan Africa (SSA), less consideration has been given to female bar workers (FBW), whose primary occupation is not sex work but who often engage in transactional sex. Understanding FBWs' risk profiles is central to designing targeted HIV prevention interventions for them. This systematic review describes the socio-demographic characteristics and risk factors for HIV transmission among FBWs in SSA.Entities:
Keywords: Bar girls; Barmaids; Behavioral risk factors; HIV; Sex work; Sub-Saharan Africa; Waitresses
Year: 2020 PMID: 32414352 PMCID: PMC7227324 DOI: 10.1186/s12889-020-08838-8
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Structural HIV determinants for female bar workers (modified from Shannon et al. [11]
Fig. 2Flow diagram of article selection and inclusion/exclusion process
Characteristics of eligible studies
| Author & year | Data period | Type | Country | Location | Study population | Study design | FBW sample size |
|---|---|---|---|---|---|---|---|
| 1998–2000 | PRA | Burkina Faso | Bobo Dioulasso | FSWs incl. FBWs | Cross-sectional survey | 67 | |
| 2003 | PRA | Ethiopia | Addis Ababa; Nazareth | FSWs incl. FBWs | FGD; IDI; observation | 25 | |
| 2003 | PRA | Ethiopia | Addis Ababa; Nazareth | FSWs incl. FBWs | FGD; IDI; observation | 25 | |
| 2003 | PRA | Ethiopia | Nazareth | FBWs who have sex for money | FGD; IDI | 30 | |
| – | PRA | Ethiopia | Addis Ababa | Women | Cross-sectional survey; FGD; IDI | Quantitative: 284 Qualitative: - | |
| 2012–13 | Report | Ghana | Kumasi | FBW, bar patrons | FGD, IDI | 36 | |
| 1992 | PRA | Malawi | Blantyre; Lilongwe; Mzuzu; Zomba | FBW | Cross-sectional survey | 540 | |
| 1992 | PRA | Malawi | Zomba | FBW | IDI | 30 | |
| 1989 | PRA | Tanzania | Dar es Salaam | FBWs; MBWs | Cross-sectional survey | 347 | |
| – | PRA | Tanzania | Arusha; Babati; Moshi; Same | General incl. FBWs | Cross-sectional survey | 95 | |
| 1993 | Book chapter | Tanzania | Namanga | FBWs | IDI | 30 | |
| – | Book chapter | Tanzania | Namanga | FBWs, MBWs | IDI; observation | 30 | |
| 1993–95 | PRA | Tanzania | Magu district | FBWs | IDI; FGD | 33 | |
| 2000 | PRA | Tanzania | Mbeya region | FBWs | Cross-sectional survey | 600 | |
| 2004–05 | PRA | Tanzania | Dar es Salaam; Mbeya; Zanzibar | FBWs | Cross-sectional survey | 2820 | |
| 2012 | Thesis | Tanzania | Iringa & Njombe regions | FSWs incl. FBWs | IDI; FGD | 30 FSW | |
| 2012–14 | PRA | Tanzania | Moshi | FBWs; male porters | Cross-sectional survey | 162 | |
| – | PRA | Uganda | Town in south-west | FSWs incl. FBWs | Life stories | 12 | |
| 1999 | PRA | Uganda | Kabale; Kampala; Lira | FBWs; FSWs; truck drivers | FGD; IDI | 8–12 |
PRA Peer-reviewed article. FSW Female sex worker; FBW Female bar worker; MBW Male bar worker; IDI In-depth interview; FGD Focus group discussion. Missing data is indicated by “-”
Findings on socio-structural risk factors
| Author Year Country | Socio-demographics | Factors promoting entry into bar work | Bar environment |
|---|---|---|---|
Nagot 2002 Burkina Faso [ | Ages 16–34; 36% foreign; 54% illiterate | – | – |
Van Blerk 2007 Ethiopia [ | Ages 14–19 | Poverty | Many FBWs in debt to bar owner |
Van Blerk 2008 Ethiopia [ | Almost all migrated from other regions | Family financial need; escape from FGM & early marriage; disowned by family | Some clients give money without sex |
Van Blerk 2011 Ethiopia [ | Most migrated from rural areas If in hometown, work in bars far from home | – | Current economic situation depends on type of bars they work in |
Sori 2012 Ethiopia [ | Often migrated from rural areas; 32% currently married | Early marriage leading to divorce leading to poverty | |
| Messersmith 2014 Ghana [ | Mean age 25; 47% completed high school; 75% unmarried; 19% married/cohabiting 6% divorced | Poverty | Verbal and emotional abuse at bars common |
Kishindo 1995a Malawi [ | Mean age 19; 5–8 years of education; 10% previously married, none now; 12% have children; 97% migrated from rural areas | Economic need for self or family; minority are looking for husband | FBWs are highly mobile and change between bars |
Kishindo 1995b Malawi [ | Mean age 22; all have some formal education & are literate; almost all migrated from rural areas | To earn money (87%), incl. For school fees, to support family; to meet man with good job; unintended pregnancy | – |
Mhalu 1991 Tanzania [ | – | – | – |
Mnyika 1995 Tanzania [ | – | – | – |
Talle 1995 Tanzania [ | Mean age 20; most finished primary school; all single or divorced; many had teen pregnancy | Economic need; independent lifestyle; escape from gender roles Typically poor but not the poorest prior to bar work | – |
Talle 1998 Tanzania [ | Education rate higher than average; most have multi-ethnic background | Economic need; following friend/relative; freedom to make decisions; escape from rural life | 1 year post-interview, 90% had changed work place |
Mgalla 1997 Tanzania [ | Mean age 25; 80% have 5 years of education; Half migrated to district; 50% single, 50% divorced; most have children | Economic need; boredom; family troubles; left school due to pregnancy, illness, poverty or forced marriage | Bar business models vary: some pay FBWs wages, others do not |
Riedner 2003 Tanzania [ | Mean age 25; 54% attended secondary school; 21% living with partner, 44% widowed /divorced | – | – |
Akarro 2009 Tanzania [ | Modal age 20–24; 73% attended primary school; 81% single, 17% separated; 70% have children | – | – |
Beckham 2013 Tanzania [ | 60% aged 20–29, 40% aged 30–39; 77% primary schooling; 57% single, 33% divorced /separated, 10% widowed; 90% have children | – | – |
Ostermannn 2015 Tanzania [ | – | – | – |
Gysels 2002 Uganda [ | Mean age 30; Marriages: mean of 2, if over 35 mean of 3.5; median of 2 children | Poverty; family troubles; early, often forced, sex leading to pregnancy; easier than farm work | – |
Ntozi 2003 Uganda [ | Age range 15–30 | – | – |
BW Bar work; CAGE Cut Down, Annoyed, Guilty and Eye Opener (alcohol use screening test); FBW Female bar worker; FGM Female genital mutilation; SW Sex work. Cells marked “-” were not addressed by the study in question
Findings on personal-level risk factors, including behavioral, interpersonal, and psychosocial factors
| Author Year Country | Time in bar work | Sex work and type of clients | HIV risk awareness and willingness to test | Condom use | HIV risk magnifiers |
|---|---|---|---|---|---|
Nagot 2002 Burkina Faso [ | Median of 6 years, with wide range | Mean of 3.3 clients per week | Self-assessment of acquiring HIV in the future. Yes: 31%; No: 31%; Don’t know: 37% | 12% of sex acts condomless | – |
Van Blerk 2007 Ethiopia [ | Timespan worked in bars often short | SW venue: back rooms of bars; Mean of 1 client per night most nights | High HIV risk awareness | High condom use with clients almost never with boyfriends | Alcohol consumption among FBWs lowers their control over condom negotiation |
Van Blerk 2008 Ethiopia [ | – | – | High risk awareness but feeling powerless to insist on condom use Many afraid to test for HIV | Forced condomless sex or condom cutting common | Several reports of client violence against FBWs |
Van Blerk 2011 Ethiopia [ | – | SW venue: varies by bar: luxury hotel rooms to backrooms and corridors; Regular clients can become boyfriends | Forced condomless sex, sometimes cutting of condoms | Expected to drink alcohol; Socially isolated if friends & family know occupation | |
Sori 2012 Ethiopia [ | Mean of several years; Frequent bar changes | Expectation that low/no wages supplemented by SW; SW venue: back room of bars | Condom use occasional with new clients, rare for regulars | ||
| Messersmith 2014 Ghana [ | – | Few admitted doing transactional sex; widespread agreement that sex work is done by FBW | High HIV knowledge; 64% FBWs think they are at risk of HIV, most due to partner infidelity 64% had ever tested for HIV | – | Low levels of alcohol use reported; client alcohol use seen as risky; violence largely IPV, not at bars |
Kishindo 1995a Malawi [ | Mean 3 years | Expected to make money from SW not BW; mean of 11 clients per week; SW venue: back rooms of bars | Low HIV risk awareness | 23% lifetime condom use | Willing to not use condoms with clients if enough money paid Stigmatized because they are perceived to spread HIV |
Kishindo 1995b Malawi [ | All consider BW a temporary occupation; | SW venue: in back room, or elsewhere post- shift; 40% report regular clients. | High awareness that multiple partners risky; low HIV risk self-perception | 30% lifetime condom use | – |
Mhalu 1991 Tanzania [ | – | – | – | Unmarried and longer term FBWs with access to counseling had condom use rates of around 65% | – |
Mnyika 1995 Tanzania [ | – | 92% of FBWs are aware of the importance of condom use | – | 47% lifetime condom use; 44% always have condoms available; 28% regularly insist on condom use with clients | – |
Talle 1995 Tanzania [ | – | All FBWs engage in SW; often have clients & boyfriends | High awareness, low perceived self-risk for HIV | Condom use rare | Reports of violence if refuse client’s demanded sexual practices Asking clients to use condoms raises stigma |
Talle 1998 Tanzania [ | All working in Namanga < 1 year | Number of clients answered imprecisely & perhaps underreported | – | – | – |
Mgalla 1997 Tanzania [ | – | Almost all have both casual & regular clients | High but imperfect HIV awareness | Some condom use with casual clients, none with regulars; | Low negotiation power |
Riedner 2003 Tanzania [ | – | 75% of FBWs´ relationships involve money | – | Condom use ~ 50% ever with both, regular & casual partners | – |
Akarro 2009 Tanzania [ | – | – | High HIV risk awareness | 90% report more money for condomless sex | 96.7% regularly drink alcohol |
Beckham 2013 Tanzania [ | – | – | High HIV risk awareness Reports of FBWs unveiling their occupation in front of doctors to receive appropriate care | Condom decisions often left to client; condomless sex better paid | Stigmatized if reveal their profession to HCW; often assumed HIV-positive & referred to ART clinic |
Ostermannn 2015 Tanzania [ | – | FBWs have twice as many lifetime sexual partners as non-FBW peers | FBWs willing to test for HIV when tests are required by officials | – | FBWs less willing than others use home-based HIV testing, more concern re. disclosure |
Gysels 2002 Uganda [ | – | Women have both casual & regular clients Some claim to enjoy work: can make money & avoid demands for sex from local men; some do well through SW, others still struggling | High HIV risk awareness | Condom use acceptable with casual, but taboo for regular clients | Alcohol use leads to rape; 82% have been subject to violence, 44% to forced sex. Majority of rape prior to starting bar work |
Ntozi 2003 Uganda [ | – | Both types of casual & regular clients; prefer casual because they pay higher and mostly cash | High HIV risk awareness High stated willingness to test for HIV, but no past testing Barriers to HIV testing: cost & no facility | Increased condom use in recent years | Alcohol claimed as reason for multiple partners & low condom use |
HIV prevalence and future aspirations of FBWs
| Author Year Country | HIV prevalence | Future goals and aspirations |
|---|---|---|
Nagot 2002 Burkina Faso [ | 40% HIV-positive | – |
Van Blerk 2007 Ethiopia [ | – | – |
Van Blerk 2008 Ethiopia [ | – | Bar work discussed as possible aid to transition to adulthood |
Van Blerk 2011 Ethiopia [ | – | Many want own small business & a family with children |
Sori 2012 Ethiopia [ | – | – |
| Messersmith 2014 Ghana [ | – | – |
Kishindo 1995a Malawi [ | – | All want to leave work & get married, none sees SW as a lifetime trade |
Kishindo 1995b Malawi [ | – | All FBWs want to get married |
Mhalu 1991 Tanzania [ | 52% HIV-positive | – |
Mnyika 1995 Tanzania [ | – | – |
Talle 1995 Tanzania [ | – | – |
Talle 1998 Tanzania [ | – | – |
Mgalla 1997 Tanzania [ | – | Most want to change jobs, many want to be small-scale traders |
Riedner 2003 Tanzania [ | 68% HIV-positive | – |
Akarro 2009 Tanzania [ | – | – |
Beckham 2013 Tanzania [ | – | |
Ostermannn 2015 Tanzania [ | – | – |
Gysels 2002 Uganda [ | – | – |
Ntozi 2003 Uganda [ | – | – |