| Literature DB >> 30728012 |
Gitau Mburu1, Mark Limmer2, Paula Holland2.
Abstract
BACKGROUND: Injecting drug users are at high risk of HIV infection globally. Research related to female drug users is rare in Kenya, yet it is required to inform the development of gender-sensitive HIV prevention and harm reduction services in East Africa, where injecting drug use is on the rise.Entities:
Keywords: Female; HIV; Heroin; Injecting drug use; Kenya; Qualitative
Mesh:
Year: 2019 PMID: 30728012 PMCID: PMC6364406 DOI: 10.1186/s12954-019-0281-y
Source DB: PubMed Journal: Harm Reduct J ISSN: 1477-7517
HIV testing and sexual characteristics of the study sample
| Characteristic | IDI | FGDs | Total | Percent |
|---|---|---|---|---|
| HIV testing | ||||
| Ever tested | ||||
| Yes | 23 | 20 | 43 | 96% |
| No | 0 | 1 | 1 | 2% |
| Unknown | 1 | 0 | 1 | 2% |
| Last tested | ||||
| In last month | 2 | 5 | 7 | 16% |
| 1–3 months | 13 | 9 | 22 | 49% |
| 3–6 months | 3 | 2 | 5 | 11% |
| Over 6 months | 0 | 0 | 0 | 0% |
| Over 1 year | 5 | 4 | 9 | 20% |
| Unknown | 1 | 0 | 1 | 2% |
| N/A | 0 | 1 | 1 | 2% |
| Where tested | ||||
| Outreach | 4 | 9 | 13 | 29% |
| Hospital/clinic | 12 | 6 | 18 | 40% |
| Drop-in centre | 5 | 4 | 9 | 20% |
| Prison | 2 | 0 | 2 | 4% |
| Unknown | 1 | 1 | 2 | 4% |
| N/A | 0 | 1 | 1 | 2% |
| Collected results | ||||
| Yes | 23 | 19 | 42 | 93% |
| No | 0 | 1 | 1 | 2% |
| Unknown | 1 | 0 | 1 | 2% |
| N/A | 0 | 1 | 1 | 2% |
| HIV status | ||||
| Positive | 7 | 3 | 10 | 22% |
| Negative | 13 | 15 | 28 | 62% |
| Unknown | 1 | 2 | 3 | 7% |
| Not willing to disclose | 3 | 1 | 4 | 9% |
| Main sexual partners drug use | ||||
| Injecting | 4 | 1 | 5 | 11% |
| Smoking | 4 | 4 | 8 | 18% |
| None | 6 | 3 | 9 | 20% |
| N/A | 9 | 13 | 22 | 49% |
| Unknown | 1 | 0 | 1 | 2% |
| Last time had sex | ||||
| Last 7 days | 10 | 3 | 13 | 29% |
| 1–4 weeks | 3 | 4 | 7 | 16% |
| 1–3 months | 3 | 4 | 7 | 16% |
| > 3 months | 5 | 10 | 15 | 33% |
| Not disclosed | 2 | 0 | 2 | 4% |
| Unknown | 1 | 0 | 1 | 2% |
| Condom use | ||||
| Always | 9 | 5 | 14 | 31% |
| Sometimes | 4 | 9 | 13 | 29% |
| Never | 10 | 4 | 14 | 31% |
| Not disclosed | 0 | 3 | 3 | 7% |
| Unknown | 1 | 0 | 1 | 2% |
| Sexually harassed | ||||
| Yes | 6 | 7 | 13 | 29% |
| No | 16 | 14 | 30 | 67% |
| Not disclosed | 1 | 0 | 1 | 2% |
| Unknown | 1 | 0 | 1 | 2% |
| Sexually assaulted | ||||
| Yes | 2 | 11 | 13 | 29% |
| No | 17 | 10 | 27 | 60% |
| Not disclosed | 1 | 0 | 1 | 2% |
| Unknown | 1 | 0 | 1 | 2% |
| Other violence | ||||
| Yes | 11 | 11 | 22 | 49% |
| No | 11 | 10 | 21 | 47% |
| Not disclosed | 1 | 0 | 1 | 2% |
| Unknown | 1 | 0 | 1 | 2% |
Abbreviations: IDI in-depth interview, FGD focus group discussion, SD standard deviation
Fig. 1Determinants of risky injecting and sexual behaviours among women who inject drugs. HIV risks were produced by intersecting influences in women’s social ecologies
Determinants and potential mitigations of HIV risks
| Social-ecological domain | Determinants of HIV risk | Potential mitigation |
|---|---|---|
| Individual | • Coping with sex work | • Self-efficacy training |
| • Low-risk perception | • Risk assessment skills | |
| Interpersonal | • Inequitable gender power | • Couple counselling |
| • Trust of sexual partners | • Gender transformation | |
| Societal structural | • Poor availability of NSP services | • Expansion of NSP services |
| • Unemployment/poverty | • Livelihood and employability interventions |