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Can Online Peer Influencers Accelerate HIV Testing Among Young Adult Males Living in Nairobi Kenya?

A Randomized Controlled Trial Examining Whether Online Peer Influencers Accelerate HIV Testing Rates Among Young Adult Males (18 - 32 Years) Living in Nairobi Kenya.

Status
Active, not recruiting
Phases
Phase 3
Study type
Interventional
Source
PACTR
Registry ID
PACTR202605857599507
Enrollment
468
Registered
2026-05-12
Start date
2026-04-27
Completion date
Unknown
Last updated
2026-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

HIV/AIDS

Interventions

Online Peer Influencer Led HIV Testing Intervention via WhatsApp
Standard HIV Testing Promotion via Social Media Messaging on WhatsApp and FM Radio Messaging
Standard HIV Testing Promotion via FM Radio

Sponsors

Arnold China Wafula
Lead Sponsor

Eligibility

Sex/Gender
Male

Inclusion criteria

Inclusion criteria: 1. Are male and aged between 18–32 years at the time of enrollment. 2. Reside in Nairobi County, Kenya. 3. Are active members of the the FM Radio’s FaceBook online platform. 4. Own or have regular access to a smartphone capable of supporting WhatsApp communication. 5. Are able and willing to provide informed consent electronically. 6. Have not tested for HIV within the past 12 months, or are unsure of their current HIV status.

Exclusion criteria

Exclusion criteria: 1. Are female. 2. Are below 18 years of age or above 32 years of age. 3. Are not residents of Nairobi County. 4. Are known to be HIV positive and currently enrolled in care at the time of recruitment. 5. Do not have reliable access to WhatsApp or a compatible mobile device. 6. Are unable or unwilling to provide informed consent. 7. Are currently participating in another HIV testing or behavioral intervention study.

Design outcomes

Primary

MeasureTime frame
HIV testing uptake (self-reported and verified at facility);HIV testing uptake (self-reported and verified at facility). HIV testing uptake will be assessed repeatedly among the same participants. This repeated measures design will allow evaluation of changes in testing behavior over time, comparison between study arms at each time point, and assessment of the rate and timing of HIV testing uptake. ;HIV testing uptake (self-reported and verified at facility). HIV testing uptake will be assessed repeatedly among the same participants. This repeated measures design will allow evaluation of changes in testing behavior over time, comparison between study arms at each time point, and assessment of the rate and timing of HIV testing uptake. ;HIV testing uptake (self-reported and verified at facility). HIV testing uptake will be assessed repeatedly among the same participants. This repeated measures design will allow evaluation of changes in testing behavior over time, comparison between study arms at each time point, and assessment of the rate and timing of HIV testing uptake.

Secondary

MeasureTime frame
Descriptive data will be collected on participants’ HIV testing status, sociodemographic characteristics, HIV testing history, digital access and WhatsApp usage, and prior exposure to HIV related messaging. This information will be used to characterize the study population and adjust for potential confounders in the analysis.

Countries

Kenya

Contacts

Public ContactArnold Wafula

Adjunt Lecturer KEMRI

arnold.wafula@gmail.com+254727243528

Outcome results

None listed

Source: PACTR (via WHO ICTRP) · Data processed: Sep 19, 2026