Potential application of conversational agents in HIV testing uptake among high-risk populations
Year: 2022
Type: article
Abstract: Human Immunodeficiency Virus (HIV) continues to be a significant public health problem, with ~1.2 million Americans living with HIV and ~14% unaware of their infection. The Centers for Disease Control and Prevention recommends that patients 13 to 64 years of age get screened for HIV at least once, and those with higher risk profiles screen at least annually. Unfortunately, screening rates are below recommendations for high-risk populations, leading to problems of delayed diagnosis. Novel technologies have been applied in HIV research to increase prevention, testing and treatment. Conversational agents, with potential for integrating artificial intelligence and natural language processing, may offer an opportunity to improve outreach to these high-risk populations. The feasibility, accessibility and acceptance of using conversational agents for HIV testing outreach is important to evaluate, especially amidst a global coronavirus disease 2019 pandemic when clinical services have been drastically affected. This viewpoint explores the application of a conversational agent in increasing HIV testing among high-risk populations.
Source: Journal of Public Health
Authors: Renee Garett, Sean D Young
Institution: University of California, Irvine
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: green
Awards: HOPE Social Media Intervention for HIV Testing and Studying Social Networks, Mining real-time social media big data to monitor HIV: Development and Ethical Issues, Digital Device ID Targeting for Increasing Medications for Opioid Use Disorder: A Feasibility and Acceptability Study, G5069332591, Big Data Digital Outreach and Epidemiology Methods for HIV Care among Communities of Color
OpenAlex ID: W4213180878