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Developing a Chatbot to Promote HIV Testing

Developing an Artificial Intelligence Chatbot to Promote HIV Testing

Status
Not yet recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04910984
Enrollment
80
Registered
2021-06-02
Start date
2026-07-20
Completion date
2027-07-31
Last updated
2026-01-29

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

Conditions

HIV Infections

Keywords

HIV testing, PrEp, HIV care, Chatbot, MSM

Brief summary

In this study, the feasibility of a Chatbot in promoting HIV testing in a pilot RCT with 80 men who have sex with men in Kuala Lumpur, Malaysia will be studied. Participants will be randomized to Chatbot or treatment as usual (TAU) groups. Participants in the intervention group will receive automated personalized messages containing HIV testing-related information, motivation and skills.

Detailed description

After informed consent, participants will be randomly assigned to Chatbot or TAU groups using stratified randomization by age. Participants in TAU will receive attention-matched educational materials manually sent by the research assistant. Participants in the intervention group will receive an automated personalized question message (root-node message) from the Chabot. In each round of the interactive communication, the Chatbot will provide automated personalized messages containing HIV testing-related information, motivation and skills based on participants' answers and will continuously update over time. Participants will be observed over 180 days with responses and interactions stored on a HIPAA-compliant and protected cloud. An independent assessment of recent testing and reasons why will be sent by link to both TAU and intervention groups using a link to a Qualtrics survey housed on REDCap at baseline and after 90 and 180 days. After 180 days, the RA will send an additional REDCap survey to intervention participants to assess the feasibility of the Chabot to measure 4 key elements: acceptability, practicality, demand, and adaptation.

Interventions

BEHAVIORALChatbot messages

Automated personalized messages containing HIV testing-related information, motivation and skills

BEHAVIORALAttention-matched educational materials

Attention-matched educational materials manually sent by our research assistant. These educational materials will be retrieved from CDC and WHO websites and curated into short articles (\<200 words) and pictures. All educational materials will be screened by HIV experts from University of Malaya to ensure accuracy before being sent to participants.

Sponsors

Yale University
Lead SponsorOTHER
University of Malaya
CollaboratorOTHER
National Institute of Allergy and Infectious Diseases (NIAID)
CollaboratorNIH

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
NONE

Eligibility

Sex/Gender
MALE
Age
18 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

* cis-gender male * 18+ years; * had condomless sex with men in the past 6 months * has a smartphone * speaks Bahasa Malay or English.

Exclusion criteria

* Not able to read Malay or English

Design outcomes

Primary

MeasureTime frameDescription
Change in HIV testing30 days, 60 days, 90 days, 120 days, 150 days, and 180 daysThe efficacy of the Chatbot versus TAU with HIV testing as the primary outcome will be measured. The primacy efficacy outcome is the proportion of MSM who get tested within 180 days. This will be measured every 30 days by asking if MSM tested for HIV in the past 30 days.

Secondary

MeasureTime frameDescription
Recruitment rate180 daysThe number of participants contacted divided by the number of participants who signed the consent form
Completion rate180 daysThe number of participants who signed the consent form divided by the number of participants who completed the study
Interaction time180 daysThe time of the interaction between participants and Chatbot
Interaction frequency180 daysThe frequency of the interaction between participants and Chatbot

Countries

Malaysia

Contacts

PRINCIPAL_INVESTIGATORJeffrey A. Wickersham, PhD

Yale University

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026