| Literature DB >> 31640453 |
Monica O Kuteesa1,2, Janet Seeley1,3, Sarah Cook4, Emily L Webb5.
Abstract
Occupational groups at high-risk of HIV in sub-Saharan Africa (SSA) may be at increased risk of substance use because of occupation-related factors. We synthesised qualitative data on determinants and context of alcohol misuse and illicit drug use in these groups. We systematically searched five databases for qualitative studies reporting on alcohol misuse or illicit drug use in fisherfolk, uniformed personnel, miners, truckers, motorcycle taxi riders, and sex workers in SSA. Qualitative data and interpretations were extracted and synthesised using a systematic iterative process to capture themes and overarching concepts. We searched for papers published prior to January 2018. We identified 5692 papers, and included 21 papers in our review, published from 1993 to 2017. Most studies were conducted among fisherfolk (n = 4) or sex workers (n = 12). Ten papers reported on alcohol use alone, three on illicit drug use alone and eight on both. Substance use was commonly examined in the context of work and risky behaviour, key drivers identified included transactional sex, availability of disposable income, poverty, gender inequalities and work/living environments. Substance use was linked to risky behaviour and reduced perceived susceptibility to HIV. Our review underscores the importance of multilevel, integrated HIV prevention and harm reduction interventions in these settings.Entities:
Keywords: Fisherfolk; HIV; substance use; truckers
Mesh:
Substances:
Year: 2019 PMID: 31640453 PMCID: PMC7175470 DOI: 10.1080/17441692.2019.1679216
Source DB: PubMed Journal: Glob Public Health ISSN: 1744-1692
Figure 1.Social ecological model framework for the role of occupation-related factors in alcohol misuse and illicit drug use among groups at high-risk of HIV/AIDS.
Figure 2.Data extraction flow chart.
Methodological quality of included studies (n = 21).
| Agreed assessment for each study | ||||
|---|---|---|---|---|
| Met criterion | Did not meet criterion | Unclear | ||
| 1 | Is this study qualitative research? | 21 | – | – |
| 2 | Are research questions clearly stated? | 18 | 3 (Erinosho et al., | – |
| 3 | Is the qualitative approach clearly described? | 18 | 1 (Kohli et al., | 2 (Erinosho et al., |
| 4 | Is the approach appropriate for the research question? | 18 | 2 (Nwokoji & Ajuwon, | 1 (Parry et al., |
| 5 | Is the study context clearly described? | 18 | 3 (Erinosho et al., | – |
| 6 | Is the role of the researcher clearly described? | 16 | 4 (Erinosho et al., | 1 (Kohli et al., |
| 7 | Is the sampling strategy clearly described? | 17 | 3 (Erinosho et al., | 1 (Kohli et al., |
| 8 | Is the sampling strategy appropriate for the research question? | 19 | 1 (Erinosho et al., | 1 (Nwokoji & Ajuwon, |
| 9 | Is the method of data collection clearly described? | 17 | 2 (Nelson, | 1 (Kohli et al., |
| 10 | Is the data collection method appropriate to the research question? | 21 | – | – |
| 11 | Is the method of the analysis clearly described? | 19 | 2 (Erinosho et al., | – |
| 12 | Is the analysis appropriate for the research question? | 19 | 1 (Erinosho et al., | 1 (Nwokoji & Ajuwon, |
| 13 | Are the claims made supported by sufficient evidence? | 20 | 1 (Erinosho et al., | – |
Summary of included studies by population group.
| Study (author, year) | Study setting | Study objective | Data collection method and qualitative data sources | Study participants | Alcohol | Other drugs | |
|---|---|---|---|---|---|---|---|
| Sex workers | |||||||
| 1 | Needle et al. ( | Durban, South Africa 2005 | To examine patterns of drug use and HIV risk behaviours among drug-using, street-based sex workers | A rapid ethnographic assessment combining KIIs, FGDs, mapping and observation | 52 (27 men, 25 women) current injection and non-injection drug users in high-risk neighbourhoods. | No | Yes |
| 2 | Watt, Kimani, Skinner, and Meade ( | Delft, a peri-urban township located approximately 15 miles from central Cape Town, South Africa. | To qualitatively examine the experiences of sex trading among methamphetamine users in Cape Town, South Africa | IDIs | 30 active methamphetamine users (17 men, 13 women) recruited from the community | No | Yes |
| 3 | Izugbara ( | Aba, a commercial town in Abia State, Nigeria. | (i) To describe sex work risks as they are understood, expressed, and acted upon by sex workers themselves. | Snow ball sampling: IDIs ( | Self-employed brothel-based, street working, casual, and free-floating female sex workers, aged 16–41 years | Yes | Yes |
| 4 | Mbonye et al., ( | Women working in high HIV/STI risk environments, Kampala, Uganda. | To explore how gender inequities may have played a role in facilitating the entry of women into sex work | Life stories: In-depth life history interviews with repeat interviews | Peer leaders of self-identified sex workers ( | Yes | Yes |
| 5 | Mbonye et al., ( | Kampala, Uganda. Common sex work locations were streets/roadsides, bars and night clubs. | (i) To describe a setting in which women provide sex for money in a busy Kampala suburb | Life history and work place IDIs ( | Women aged 16–49 years whose sole income was from sex work, or who engaged in sex work as a supplementary source of income | Yes | No |
| 6 | Mbonye et al., ( | Female sex workers attending a clinic for high risk women in Kampala, Uganda. | To explore perceptions and experiences regarding prompt ART initiation, after the change in ART guidelines. | Repeat IDIs ( | Female sex workers, both HIV negative and positive, some had started ART while others had deferred ART. | Yes | No |
| 7 | Langa et al. ( | Three major Mozambican urban centers: Beira, Nacala, Maputo. | To obtain information on behaviours of commercial sex workers, their perceptions of risk, and their outcomes to inform the creation and implementation of successful AIDS health and prevention measures. | International Rapid Assessment, Response and Evaluation (I-RARE) methodology. | Commercial female sex workers ( | Yes | No |
| 8 | Onyango et al., ( | Kumasi, Ghana | To identify social, economic, structural, and individual-level vulnerabilities of female adolescents who sell sex in Kumasi, Ghana. | Snowball sampling: | Female sex workers aged 18–20 years who had been involved in sex work for at least 2 years( | Yes | No |
| 9 | Parry et al. ( | ‘Hotspots’ for drug use and sexual risk in Cape Town, Durban and Pretoria, South Africa. | To examine the links between drug use and high-risk sexual practices and HIV in vulnerable drug-using populations in South Africa, including CSWs, MSM, IDUs and non-injecting drug users who are not CSWs or MSM. | Rapid assessment ethnographic study | Observation, mapping, key informant interviews and focus groups. | Yes | Yes |
| 10 | Parry et al. ( | Drug using sex workers in Cape Town, Durban, Pretoria, South Africa: | (i) To describe the nature, extent and context of drug use, and sexual behaviour among drug-using CSW and to understand the drug using and sexual behaviours that increase vulnerability for HIV infection. | Rapid assessment of HIV risk behaviour. | Male and female street CSWs | Yes | Yes |
| 11 | Ediomo-Ubong ( | Sex workers in Ikot Ekpene, Akwa Ibom State, Nigeria. | To examine drug use and sexual health risks among sex workers | IDIs and FGDs | Brothel-based female sex workers ( | Yes | Yes |
| 12 | Schulkind, Mbonye, Watts, and Seeley ( | Women at high risk of sexually transmitted infection (including HIV) and their regular male partners in Kampala, Uganda. July 2013–September 2014 | To explore the interaction between gender-based violence and alcohol use and their links to vulnerability to HIV-infection | In-depth life history interviews. | Yes | Yes | |
| Fishing communities | |||||||
| 13 | Lubega et al., ( | Kasensero fishing community, with HIV incidence 4.3 and 3.1 per 100 person-years in women and men, respectively. | To understand the underlying contextual drivers of the high HIV rate in Kasensero from the perspective of the community itself for effective policy and preventive intervention formulation | 20 IDIs (10 males, 10 females) | HIV positive and HIV negative respondents | Yes | Yes |
| 14 | Michalopoulos et al. ( | Migratory female fish traders sheltered in seasonal camps, Kafue flatlands, Lusaka, Zambia. | (1) Examining trauma history, trauma symptoms and HIV risk behaviour and, (2) the relationship between these co-occurring issues among female fish traders from the Kafue flatlands in Zambia | 20 semi structured qualitative interviews, | Female fish traders | Yes | Yes |
| 15 | Sileo et al. ( | Gerenge, Uganda, a ‘landing site’ along Lake Victoria, with presence of transient CSW and fishermen populations. | To examine motivation for alcohol use and perceptions of how alcohol use influences sexual behaviour and HIV risk. | 8 FGDs | Fishermen, fishmongers, alcohol-sellers, commercial sex workers, and restaurant owners. | Yes | No |
| 16 | Abikoye ( | Yenagoa, Balyesa state, Niger delta, Nigeria | Exploring factors opposing the effective management of substance use disorders in | IDIs ( | Informal caregivers of patients with substance use disorders ( | No | Yes |
| Uniformed personnel | |||||||
| 17 | Nwokoji and Ajuwon ( | Nigerian Navy personnel in Lagos | To describe the knowledge of AIDS and HIV-risk sexual behaviour of naval personnel in Lagos. | 1 Group discussions ( | Nigerian military, gender not described | Yes | No |
| Truckers | |||||||
| 18 | Erinosho et al. ( | Nigeria: in 3 communities Ugep (high HIV prevalence 12%), Olunloyo (low HIV prevalence 2.2%, Badeku)) | To ascertain the risky behavioural factors that are driving the HIV/AIDS epidemic | An ethnographic semi-longitudinal study combining ( | Study participants including community members, opinion leaders, policymakers, healthcare practitioners and religious leaders were selected purposively, gender not described | Yes | No |
| 19 | Kohli et al. ( | Iringa, Tanzania – a region characterised by high levels of migration and mobility | To identify and describe the social and structural factors that may contribute to HIV risk among truck drivers | 11 IDIs | Truck drivers, male | Yes | No |
| 20 | Matovu and Ssebadduka ( | Conducted at 12 hotspots*, on two major transport corridors. | To explore knowledge, attitudes and barriers to condom use among FSWs and truckers operating along major transport corridors in Uganda. | Mixed methods study: 24 FGDs ( | Long distance truckers (all male, | Yes | No |
| 21 | Lightfoot et al. ( | Remote Namibian mining community | (1) To assess knowledge regarding the link between HIV and alcohol use | 6 FGDs, 16 IDIs | Mine workers ( | Yes | No |
*A hotspot was defined as an area frequented by female sex workers and characterised by high levels of illicit sex.
†The study was conducted among sex workers and truckers.