| Literature DB >> 31286953 |
Limakatso Lebina1, Ntombexolo Seatlholo2, Noah Taruberekera3, Mopo Radebe3, Anthony Kinghorn2, Tessa Meyer3, Miriam Mhazo3, Kennedy Otwombe2, Khuthadzo Hlongwane2, Ashley Ringane2, Nthabiseng Koloane2, Mbali Nkuta2, Nkhensani Nkhwashu4, Thato Farirai4, Patience Kweza4, Thato Chidarikire5, Simukai Shamu4,6, Tendesayi Kufa7, Adrian Puren7,8, Neil Martinson2,9, Minja Milovanovic2.
Abstract
BACKGROUND: HIV diagnosis is a critical step in linking HIV-infected individuals to care and treatment and linking HIV-uninfected persons to prevention services. However, the uptake of HIV testing remains low in many countries. HIV self-screening (HIVSS) is acceptable to adults, but there is limited data on HIVSS feasibility in community programmes. This study aimed to evaluate the feasibility of HIVSS in South Africa.Entities:
Keywords: Demonstration project; HIV; HIV self-test; High risk populations
Mesh:
Year: 2019 PMID: 31286953 PMCID: PMC6615295 DOI: 10.1186/s12889-019-7122-5
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Fig. 1Flow chart of total HIV self-screened participants approached, refused, enrolled and HIV testing results in the feasibility of HIV self-screening study
Socio-demographic characteristics of participants that received HIV self-screening kits in the feasibility of HIV self-screening study
| Variable | Number | Proportion |
|---|---|---|
| Number enrolled for HIV self-screening | 1618 | |
| Age in years | ||
| 18–24 (%) | 513 | 31.7% |
| > 24 (%) | 1105 | 68.3% |
| Median age (IQR) | 28.0 (23.0–33) | |
| Gender | ||
| Female (%) | 809 | 50.0% |
| Male (%) | 808 | 50.0% |
| Place of recruitment | ||
| Home (%) | 696 | 43.0% |
| Mobile site (%) | 687 | 42.5% |
| Workplace (%) | 118 | 7.3% |
| Sex Workers Programme (%) | 117 | 7.2% |
| Language spoken at home | ||
| IsiZulu/IsiNdebele/IsiXhosa %) | 557 | 35.0% |
| Sepedi/Sesotho/Setswana %) | 520 | 32.7% |
| Xitsonga (%) | 239 | 15.0% |
| Tshivenda (%) | 131 | 8.2% |
| Other | 144 | 9.1% |
| Highest level of education | ||
| Primary school (%) | 1271 | 82.4% |
| High school (%) | 123 | 8.0% |
| Tertiary (%) | 148 | 9.6% |
| Income level | ||
| R0 - R999 (%) | 940 | 63.3% |
| R1000 - R4999 (%) | 378 | 25.4% |
| R5000 - R9999 (%) | 134 | 9.0% |
| R10000+ (%) | 34 | 2.3% |
Recruitment strategy by method of self-screening in the feasibility of HIV self-screening study
| Place of recruitment | Supervised (n, %) | Semi-Supervised (n, %) | |
| Homebased | 126/405 (31.1) | 71/101 (70.3) | < 0.0001 |
| Mobile | 234/405 (57.8) | 29/101 (28.7) | < 0.0001 |
| Workplace | 39/405 (9.6) | 1/101 (0.99) | 0.0040 |
| Sex work programme | 6/405 (1.5) | 0/101 (0) | – |
| Supervised | Unsupervised | ||
| Homebased | 126/405 (31.1) | 499/1111 (44.9) | < 0.0001 |
| Mobile | 234/405 (57.8) | 423/1111 (38.1) | < 0.0001 |
| Workplace | 39/405 (9.6) | 78/1111 (7.0) | 0.0921 |
| Sex work programme | 6/405 (1.5) | 111/1111 (9.99) | < 0.0001 |
Fig. 2HIV screening by recruitment strategy cascade in in the feasibility of HIV self-screening study. a. Homebased, b. Mobile site, c. Workplace, d. Sex work programme