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Not yet recruiting NCT04910984

Developing a Chatbot to Promote HIV Testing

No phase Interventional HIV Infections

For patients and families

In plain language

An automatic summary of structured registry data. It is an orientation aid, not a substitute for the official protocol or a physician assessment.

What is being studied
The protocol lists: Chatbot messages, Attention-matched educational materials.
Who it may be relevant to
Registry conditions: HIV Infections. Basic parameters: from 18 years · Male.
What needs checking
Age, condition and sex are only basic indicators. Prior treatment, laboratory values and other mandatory requirements appear in the eligibility criteria below.
Where it takes place
Malaysia
Next step
Save the trial, show it to the treating physician, and confirm current recruitment with the study center. Costs, documents and travel →
Official title

Developing an Artificial Intelligence Chatbot to Promote HIV Testing

Overview

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

  • Behavioral Chatbot messages
    Automated personalized messages containing HIV testing-related information, motivation and skills
  • Behavioral Attention-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.

Primary outcome measures

  • Change in HIV testing [Time frame: 30 days, 60 days, 90 days, 120 days, 150 days, and 180 days]
Secondary outcome measures (4)
  • Recruitment rate [Time frame: 180 days]
  • Completion rate [Time frame: 180 days]
  • Interaction time [Time frame: 180 days]
  • Interaction frequency [Time frame: 180 days]

Eligibility criteria

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

Criteria are shown verbatim from the registry (in English). Final eligibility is always assessed by the study center.

Healthy volunteers: Yes

Study design

Allocation
Randomized
Model
Parallel assignment
Masking
Open label
Primary purpose
Prevention

Study locations

Malaysia · 1 center
  • University of Malaya — Kuala Lumpur

Identifiers

NCT: NCT04910984 · 2000027864 · 1R21AI152927-01A1

Primary sources (government registries)

View this study on ClinicalTrials.gov ↗