| Literature DB >> 28782331 |
Priya Lall1, Stacey A Shaw2, Rumana Saifi1, Susan Sherman3, Nuruljannah Nor Azmi1, Veena Pillai1, Nabila El-Bassel4, Adeeba Kamarulzaman1,5, Jeffrey A Wickersham1,5.
Abstract
INTRODUCTION: Cisgender and transgender woman sex workers (CWSWs and TWSWs, respectively) are key populations in Malaysia with higher HIV-prevalence than that of the general population. Given the impact economic instability can have on HIV transmission in these populations, novel HIV prevention interventions that reduce poverty may reduce HIV incidence and improve linkage and retention to care for those already living with HIV. We examine the feasibility of a microfinance-based HIV prevention intervention among CWSW and TWSWs in Greater Kuala Lumpur, Malaysia.Entities:
Keywords: HIV; cisgender women; microfinance; sex work; transgender women
Mesh:
Year: 2017 PMID: 28782331 PMCID: PMC5577685 DOI: 10.7448/IAS.20.1.21723
Source DB: PubMed Journal: J Int AIDS Soc ISSN: 1758-2652 Impact factor: 5.396
Structure of topic guide
| Topic | Areas covered |
|---|---|
| Sex Work Experience | Drivers for entry into sex wok Experience of sex work Opportunities and costs associated with sex work |
| Patterns of drug use | Drug use history Drug use during sex work Impact of drug use on employment, income |
| Personal Finances | Personal financial management Long-term strategies to save money Barriers and facilitators to saving money |
| Microfinance Intervention | Interest in a microfinance-based intervention Types of occupation respondents were interested in Potential challenges respondents could face when in non-sex work occupations Potential challenges for completion of the intervention |
Participants’ demographic characteristics according to gender identity
| Participants’ gender identity | ||||
|---|---|---|---|---|
| Cisgender | Transgender | |||
| Demographic characteristics | (%) | (%) | ||
| 24–29 | 1 | (6) | 5 | (33) |
| 30–39 | 8 | (44) | 4 | (27) |
| 40–49 | 2 | (11) | 3 | (20) |
| 50 or more | 7 | (40) | 3 | (20) |
| Malay | 10 | (56) | 4 | (27) |
| Chinese | 1 | (6) | 2 | (13) |
| Indian | 7 | (39) | 7 | (47) |
| Other | 0 | (0) | 2 | (13) |
| Buddhist | 1 | (6) | 2 | (13) |
| Christian | 2 | (11) | 0 | (0) |
| Hindu | 2 | (11) | 7 | (47) |
| Muslim | 13 | (72) | 5 | (33) |
| Other | 0 | (0) | 1 | (7) |
| Single | 2 | (11) | 13 | (87) |
| Has a partner | 0 | (0) | 1 | (7) |
| Married | 3 | (17) | 0 | (0) |
| Widowed | 5 | (28) | 0 | (0) |
| Divorced/separated | 8 | (44) | 1 | (7) |
| Number of children | ||||
| 0 | 2 | (11) | 13 | (87) |
| 1–2 | 7 | (39) | 2 | (13) |
| 3 or more | 9 | (50) | 0 | (0) |
| Less than primary | 3 | (17) | 1 | (7) |
| Primary | 1 | (6) | 0 | (0) |
| Secondary (incomplete) | 10 | (56) | 4 | (27) |
| Secondary (complete) | 4 | (22) | 7 | (60) |
| Tertiary | 0 | (0) | 1 | (7) |
Participants’ patterns of income generation according to their gender identity
| Participants’ gender identity | ||||
|---|---|---|---|---|
| Cisgender | Transgender | |||
| Patterns of income generation | (%) | (%) | ||
| 16–19 | 2 | (11) | 9 | (60) |
| 20–24 | 4 | (22) | 4 | (27) |
| 25–29 | 4 | (22) | 2 | (13) |
| 30 or more | 8 | (44) | ||
| Less than 1 year | 2 | (11) | 0 | (0) |
| 1–9 | 0 | (0) | 7 | (47) |
| 10–19 | 9 | (50) | 2 | (13) |
| 20–29 | 3 | (17) | 4 | (27) |
| 30 or more | 4 | (22) | 2 | (13) |
| Yes | 11 | (61) | 13 | (87) |
| No | 7 | (39) | 2 | (13) |
| Full time | 9 | (50) | 3 | (21) |
| Part time | 6 | (33) | 10 | (71) |
| Periodic | 3 | (17) | 1 | (7) |
| 0–9 | 9 | (50) | 6 | (43) |
| 10–19 | 6 | (33) | 3 | (21) |
| 20 or more | 3 | (17) | 5 | (35) |
| 0–999 | 6 | (33) | 0 | (0) |
| 1000–1999 | 6 | (33) | 6 | (43) |
| 2000–2999 | 3 | (17) | 5 | (36) |
| 3000 or more | 3 | (17) | 3 | (21) |
Participants’ patterns of drug use according to their gender identity
| Participants’ gender identity | ||||
|---|---|---|---|---|
| Cisgender | Transgender | |||
| Patterns of drug use | (%) | (%) | ||
| Alcohol | 11 | (61) | 11 | (79) |
| Heroin | 8 | (44) | 1 | (7) |
| Morphine | 2 | (11) | 2 | (7) |
| Buprenorphine (Suboxone or Subutex) | 3 | (17) | 0 | (0) |
| Methadone | 4 | (22) | 0 | (0) |
| Benzodiazepines (dormicum, domi, diazepam, Xanax, Somes, Eramin 5) | 3 | (17) | 4 | (29) |
| Crystal Methamphetamine (ice, syabu, pil kuda) | 11 | (61) | 5 | (36) |
| Ecstasy (E, MDMA) | 3 | (17) | 6 | (43) |
| Ketamine (Special K) | 0 | (0) | 1 | (7) |
| Cannabis (Ganja, Boh, Balut, Marijuana) | 6 | (38) | 6 | (46) |
| Ketum (daun or air) | 0 | (0) | 1 | (7) |