Skip to main content
Erschienen in:

03.08.2020 | BRIEF REPORT

The Impact of the SEERs Project on HIV Testing in Kenya

verfasst von: Tiffany Chenneville, Kemesha Gabbidon

Erschienen in: Journal of Prevention | Ausgabe 4/2021

Einloggen, um Zugang zu erhalten

Abstract

Compared to other key populations, adolescents living in sub-Saharan Africa experience a high HIV disease burden. To address this, organizations have implemented a variety of youth-oriented HIV prevention strategies, including the HIV SEERs Project. SEERs is an innovative, community-based program designed with and for youth in Kenya to reduce HIV stigma (a known barrier to HIV testing), and increase treatment and retention in care. While preliminary research has demonstrated SEERs efficacy for increasing HIV knowledge and decreasing stigma, information about its efficacy as a means to increase HIV testing has been limited to assessing behavioral intentions. To address this limitation, SEERs facilitators partnered with 20 local HIV agencies in 2018 to offer on-site HIV testing during SEERs programming. The purpose of this article is to examine the impact, as well as the benefits and challenges of SEERs programming on HIV testing and linkage to care. SEERs facilitators collected and reported the following data monthly over the course of the year: number of locations for SEERs programming, number and age range of SEERs attendees, number of attendees who screened for HIV and, among those, the number who tested positive and were linked to care. Facilitators also provided written descriptions of the benefits and challenges of implementing the SEERs programming. We analyzed HIV testing data using descriptive statistics and used qualitative data to describe facilitators’ perceptions of the benefits and challenges of implementing the SEERs program. We discuss the contributions of these findings to the existing literature and explore future directions.
Literatur
Zurück zum Zitat Bauhoff, S. (2011). Systematic self-report bias in health data: Impact on estimating cross-sectional and treatment effects. Health Services and Outcomes Research Methodology, 11(1–2), 44–53.CrossRef Bauhoff, S. (2011). Systematic self-report bias in health data: Impact on estimating cross-sectional and treatment effects. Health Services and Outcomes Research Methodology, 11(1–2), 44–53.CrossRef
Zurück zum Zitat Kok, M. C., Dieleman, M., Taegtmeyer, M., Broerse, J. E., Kane, S. S., Ormel, H., et al. (2015). Which intervention design factors influence performance of community health workers in low- and middle-income countries? A systematic review. Health Policy and Planning, 30(9), 1207–1227. https://doi.org/10.1093/heapol/czu126.CrossRefPubMed Kok, M. C., Dieleman, M., Taegtmeyer, M., Broerse, J. E., Kane, S. S., Ormel, H., et al. (2015). Which intervention design factors influence performance of community health workers in low- and middle-income countries? A systematic review. Health Policy and Planning, 30(9), 1207–1227. https://​doi.​org/​10.​1093/​heapol/​czu126.CrossRefPubMed
Zurück zum Zitat Swider, S. M. (2002). Outcome effectiveness of community health workers: An integrative literature review. Public Health Nursing, 19(1), 11–20.CrossRef Swider, S. M. (2002). Outcome effectiveness of community health workers: An integrative literature review. Public Health Nursing, 19(1), 11–20.CrossRef
Metadaten
Titel
The Impact of the SEERs Project on HIV Testing in Kenya
verfasst von
Tiffany Chenneville
Kemesha Gabbidon
Publikationsdatum
03.08.2020
Verlag
Springer US
Erschienen in
Journal of Prevention / Ausgabe 4/2021
Print ISSN: 2731-5533
Elektronische ISSN: 2731-5541
DOI
https://doi.org/10.1007/s10935-020-00603-2