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Effectiveness of sexual health influencers identified by an ensemble machine learning model in secondary distribution of HIV self-testing among MSM in China: a quasi-experimental trial

Effectiveness of sexual health influencers identified by an ensemble machine learning model in secondary distribution of HIV self-testing among MSM in China: a quasi-experimental trial

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2000039632
Enrollment
Unknown
Registered
2020-11-04
Start date
2020-11-11
Completion date
Unknown
Last updated
2021-11-02

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

Conditions

HIV

Interventions

standard group:standard scale
intervention group:model identification

Sponsors

Dermatology Hospital of Southern Medical University
Lead Sponsor

Eligibility

Sex/Gender
Male
Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: 1. Individuals aged 18 years or above (including 18 years old); 2. Assigned male at birth; 3. Individuals who have had intercourse sex with men; 4. Those who are willing to participate potential secondary distribution of HIV self-testing.

Exclusion criteria

Exclusion criteria: Nil

Design outcomes

Primary

MeasureTime frame
Number of alters motivated by each index in each group;Number of newly-tested alters motivated by each index in each group;—

Secondary

MeasureTime frame
Number of alters with HIV-reactive results identified by each index in each group;—

Countries

China

Contacts

Public ContactTang Weiming

Dematology Hospital of Southern Medical University, UNC Project-China

weiming_tang@med.unc.edu+86 15920567132

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 21, 2026