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Chromogenic In Situ Hybridization as a Tool for HPV-Related Head and Neck Cancer Diagnosis

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Published on: June 14, 2019

Cervical Cancer Information Seeking in the Digital Communication Environment.

Shuo Yao¹, Jiawei Liu^2,3, Francis Dalisay^1,2

¹Department of Public Relations, College of Journalism and Communications, University of Florida, Gainesville, Florida, USA.

Journal of Health Communication

|June 15, 2026

Summary

This summary is machine-generated.

Black women more frequently use various online platforms for cervical cancer information compared to White women. Seeking information from health websites, search engines, generative AI, and virtual assistants correlated with guideline adherence in Black women.

Keywords:

Cervical cancer cancer screening information seeking online sources

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Published on: July 29, 2017

Area of Science:

Health Communication
Digital Health
Health Disparities

Background:

Online health information seeking is diverse, with new platforms like generative AI emerging.
Understanding platform-specific seeking is crucial due to varied online sources.
Cervical cancer screening is recommended for women aged 21-65 in the U.S.

Purpose of the Study:

To investigate platform-specific cervical cancer information seeking among Black and White women.
To identify antecedents and correlates of seeking behavior across different online platforms.
To examine the relationship between online information seeking and cervical cancer screening adherence.

Main Methods:

Survey study involving Black and White women aged 21-65 in the U.S.
Examined frequency of use for various online platforms (health websites, search engines, e-consultations, social media, generative AI, virtual assistants).
Applied the theory of planned behavior to understand seeking predictors and analyzed associations with screening adherence.

Main Results:

Health websites and search engines were most common, followed by e-consultations, social media, generative AI, and virtual assistants.
Black women used all platforms more frequently than White women, explained by theory of planned behavior predictors.
Information seeking from health websites, search engines, generative AI, and virtual assistants was linked to higher screening adherence in Black women, but not White women.

Conclusions:

Platform-specific online health information seeking behaviors differ by race.
Generative AI and virtual assistants are emerging sources for cervical cancer information.
Targeted health communication strategies addressing platform preferences may improve screening adherence among Black women.