HIV
Conditions
Interventions
AI chatbot:AI chatbot for HIV infection risk screening, screening of people at high risk of HIV and referral to specialized hospitals for medical counseling and use of PrEP
Traditional questionnaire group:Risk screening for HIV infection by completing traditional questionnaires, screening for people at high risk of HIV infection, and referral to specialized hospitals for
Sponsors
Beijing Youan Hospital, Capital Medical University
Eligibility
Sex/Gender
Male
Age
18 Years to 100 Years
Inclusion criteria
Inclusion criteria: (1) MSM. (2) Not less than 18 years of age. (3) Self-reported anal sex with at least one man in the past 6 months. (4) HIV-negative at screening, unresponsive to fourth-generation HIV testing, and undetectable for HIV-1 RNA. (5) Have undergone a comprehensive physical examination (including a full body checkup, routine blood and urine tests, blood biochemistry tests, etc.), and have no serious damage to liver or kidney function and other indicators within the basic normal range (provide proof of testing within the last three months). (6) Own and know how to use a smart phone, skilled in using WeChat small program, willing to accept small program push. (7) Ensure that there is no relocation program during the study period and cooperate to complete the research activities. (8) Fully understand the purpose, nature, and method of the trial, voluntarily sign the informed consent form, willing to cooperate with CBO, and leave contact information to ensure follow-up.
Exclusion criteria
Exclusion criteria: (1) Known to have tested positive for HIV at baseline. (2) Has used PrEP. (3) Poor adherence and inability to complete follow-up visits. (4) Patients with severe mental and neurological disorders. (5) Non-compliance with the experimental protocol and withdrawal of informed consent. (6) Discovered misrepresentation of data or concealment of true personal information in the course of the study.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| The proportion of people at high risk of HIV infection who are transferred from CBO to specialized hospitals and initiate PrEP;The proportion of people at high risk of HIV infection screened by AI chatbot or traditional questionnaires; | — |
Secondary
| Measure | Time frame |
|---|---|
| The frequency of use of AI chatbot in the intervention group;The number of times the subjects in the control group participate in filling out the traditional questionnaire;The proportion of continuous use of AI chatbot in the 6th month after the end of the experiment;The proportion of people who continue to use PrEP in the 6th month after the end of the experiment; | — |
Countries
China
Contacts
Public ContactXiaojie Huang
Beijing Youan Hospital, Capital Medical University
Outcome results
None listed