Background
In sub-Saharan Africa, many fishermen, who often move around a lot, do not get tested for HIV or seek treatment. This study looked at whether a new approach using social networks could help these fishermen in Kenya get tested and linked to HIV prevention and treatment services.
Study Overview
The study took place in three communities near Lake Victoria in Kenya. Researchers mapped out the social networks of fishermen and identified key individuals (called promoters) in these networks. Fishermen aged 18 and older were included in the study. Some groups received training and resources to promote HIV testing, while others received basic information about HIV.
Key Findings
From July 2020 to February 2022, 1,509 eligible men were identified, and 934 were included in the study. The results showed:
- 65.6% of men in the intervention group got tested for HIV, compared to only 31.3% in the control group.
- 60.4% of men in the intervention group reported testing themselves, while only 10.0% in the control group did.
- Among those who tested, 67.3% in the intervention group linked to treatment or prevention services, compared to 15.6% in the control group.
Practical Healthcare Solutions
This study highlights the effectiveness of using social networks and self-testing to engage hard-to-reach populations in HIV care. Here are some actionable insights:
Define Measurable Outcomes
Set clear goals for clinics to increase HIV testing rates and improve linkage to care based on the trial’s success.
Select AI Tools That Fit Clinical Needs
Choose AI solutions that can assist with tracking patient engagement and outcomes related to HIV testing and treatment.
Implement Step by Step and Expand
Start with a pilot project using these methods, monitor results, and adapt based on real-world impacts observed in the study.
Contact Us
For more information on AI solutions in medical management, reach out:
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