A Sociolinguistic-enabled Web Application to Develop Precision Health Intervention for African Americans

Not Applicable

Completed

Conditions: Colorectal Cancer

Interventions: Behavioral: Dialectal Features Varied
Behavioral: VHA with no voice
Behavioral: Video Intervention

Registration Number: NCT04705363

Lead Sponsor: University of Florida

Brief Summary: This pilot study will explore the preliminary efficacy of a colorectal cancer (CRC) screening intervention delivered by Virtual Human Agents (VHAs). Seven hundred fifty participants aged 45 to 75 will be recruited through Qualtrics panels. The study examines how different levels of dialectal linguistic features willingness to be screened for colorectal cancer. Participants will be randomly assigned to interact with one of four VHA conditions: a VHA using non-dialectal linguistic features, a VHA with a low level of dialectal linguistic features integrated, a VHA with a high level of dialectal linguistic features integrated, or a text-only control condition. Following the interaction, participants will complete survey measures to assess perceived willingness to be screened.

Detailed Description: African Americans experience significant health inequities, including higher morbidity and mortality rates due to colorectal cancer (CRC) compared to White Americans. While the causes of these disparities are complex, regular screening can help reduce them. However, adherence to CRC screening guidelines remains low, particularly among African Americans.

One strategy to reduce CRC screening disparities is using strategic communication interventions to promote the fecal immunochemical test (FIT). FIT is a low-cost, non-invasive screening method that alleviates common patient barriers to CRC screening and is as effective as colonoscopy in reducing CRC incidence and mortality.

Tailored messaging interventions have been shown to improve CRC screening rates. However, two critical questions must be addressed before implementing tailored screening interventions within healthcare systems: (1) To what extent must message content be tailored to be effective? and (2) How can participants be effectively engaged?

This study builds upon an existing project that utilizes mobile Virtual Human Technology (VHT) to deliver tailored CRC screening messages. Virtual Human Agents (VHAs) provide a unique opportunity to customize communication strategies, including linguistic adaptation, to align with patient preferences. Such interventions can help mitigate CRC screening barriers such as cultural mismatch and low self-efficacy.

This study investigates explicitly the role of dialectal linguistic features in shaping willingness to be screened for CRC. The pilot study is exploratory in nature and seeks to examine the following aim: To assess how tailoring the dialectal variety of VHA speech affects willingness to be screened for CRC.

We aim to recruit 750 participants, each of whom will interact with a VHA that varies in speech style across four conditions: (1) non-dialectal linguistic features, (2) a low-level integration of dialectal linguistic features, (3) a high-level integration of dialectal linguistic features, or (4) a voiceless, text-only control. Following the interaction, participants will assess the VHA's credibility using survey-based measures.

Recruitment & Eligibility

Status: COMPLETED

Sex: All

Target Recruitment: 751

Inclusion Criteria

Out of guidelines for colorectal cancer screening
No fecal immunochemical test within the last 12 months
No colonoscopy within the last ten years)

Exclusion Criteria

Must meet inclusion criteria

Study & Design

Study Type: INTERVENTIONAL

Study Design: PARALLEL

Arm && Interventions

Group	Intervention	Description
Interaction with a VHA with voice	Dialectal Features Varied	A virtual health assistant computer-generated doctor who will have a conversation with you.
Interaction with a VHA with voice	Video Intervention	A virtual health assistant computer-generated doctor who will have a conversation with you.
Interaction with a VHA without voice	VHA with no voice	A virtual health assistant that will consist of photos of the computer-generated doctor with text that will guide you through the interaction. No voice will accompany the photos or text.

Primary Outcome Measures

Name	Time	Method
Intention to Talk to Doctor About Colorectal Cancer Screening	Immediately after the intervention, up to 1 hour	Measure: Intention to talk to a doctor about colorectal cancer screening. Construct: Behavioral intention to communicate Item: The virtual appointment made me want to discuss colon cancer screening options with my doctor. Participants will respond using three 5-point Likert scales that will be summed. The total score ranges from 3 to 15, with higher scores indicating a greater intention to discuss colorectal cancer screening with a healthcare professional. Mean scores closer to 3 reflect lower intention, while mean scores closer to 15 reflect higher intention.

Secondary Outcome Measures