Campaign message exposure, audience segmentation, and protective behaviors in the early stages of the COVID-19 pandemic in Vietnam. (3rd April 2022)

• Record Type: Journal Article
• Authors: Duong, Hue Trong
• Is Part Of: Journal of communication in healthcare. Volume 15:Number 2(2022)
• Page Start: 121
• Page End: 130
• Publication Date: 2022-04-03
• Subjects: Risk perception -- efficacy -- audience segmentation -- social media -- COVID-19 -- coronavirus; Communication in medicine -- Periodicals; Communication -- Periodicals; Health promotion -- Periodicals; 610.696
• DOI: 10.1080/17538068.2021.2021747
• Languages: English
• ISSNs: 1753-8068

Abstract

ABSTRACT: Background: This study examined how the Risk Perception Attitude Framework (RPA) could be used to segment audiences in the COVID-19 prevention campaign in Vietnam. It investigated how the identified segments differed regarding staying at home and mask wearing behaviors and whether exposure to prevention messages via social media and mass media might predict the identified segments. Method: A cross-sectional survey ( N = 360) was administered online in Ho Chi Minh City, Vietnam in the early stages of the COVID-19 outbreak in 2020. The survey captured participants' risk perceptions, efficacy beliefs, campaign message exposure, behavioral intention, and demographic variables. Two-step cluster analysis, analysis of variance, and multinominal regression were conducted. Results: Three segments were identified for staying at home behavior (avoidance group, proactive group, and responsive group) and four segments were found for mask wearing behavior (avoidance group, proactive group, moderately responsive group, and highly responsive group). Results revealed that segment membership was associated with behavioral intention and exposure to COVID-19 prevention message via social media predicted the likelihood of participants belonging to the responsive group. Conclusion: Data showed that segments differed significantly regarding behavioral intention and that exposure to social media prevention messages predicted the responsive group. Findings extended the RPA to a novel behavioral context, while providing useful implications for practitioners.