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Acceptability and Use of Digital Health and Artificial Intelligence–Enabled Chatbots for Sexual and Reproductive Health Among Lesbian, Bisexual, and Queer Women of Color in the United States: Cross-Sectional Survey Study

Background: Cisgender lesbian, bisexual, and queer (LBQ+) women of color (WOC) experience barriers to accessing sexual and reproductive health (SRH) services in the United States (US). Barriers, including limited provider access and poor patient-provider communication, contribute to underutilization of SRH services and poorer outcomes compared to heterosexual counterparts. Digital health modalities, including telemedicine, mobile health, and artificial intelligence (AI)-enabled chatbots, offer potential to expand access to SRH information and services among LBQ+ WOC. Objective: This study investigated current use, influencing factors, acceptability, and concerns regarding digital health modalities (video calls, SMS text messaging, mobile apps) and AI-enabled chatbots to support SRH information and service access among LBQ+ WOC in the US. It also assessed awareness and knowledge of HPV and cervical cancer prevention, and attitudes toward HIV prevention medication. Methods: A self-administered online survey was conducted from November 2020 to March 2021 with 285 LBQ+ WOC (aged ≥18 years) residing in the US. The 88-item survey assessed digital health use, SRH knowledge and awareness, and acceptability of and concerns about digital health use for SRH information and services. Data were analyzed using descriptive statistics, Fisher’s exact tests, multivariable logistic regression, and thematic analysis. Results: Most respondents were comfortable using video calls (81.8%) to communicate with a healthcare provider for SRH support. Respondents with a bachelor’s degree or higher (95% CI 0.00–0.24, P

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Posted in: Open Access Journal Articles on 01/08/2026 | Link to this post on IFP |
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