Characterizing Wuhan residents' mask-wearing intention at early stages of the COVID-19 pandemic

Objective: As an effective measure to prevent the COVID-19 pandemic, wearing mask is widely recommended in countries around the world. This study aims to identify factors that explain the behavioral intention of Wuhan City urban residents to wear masks. Methods: A theoretical model was extended on UTAUT by incorporating the feature on residents having relevant knowledge and sufficient awareness on the pandemic. During early stages of the COVID-19 outbreak, an online survey was conducted in Wuhan City and 728 valid samples were collected from 35 communities. Structural equations modeling and bootstrapping were applied. Results: Sample data present acceptable reliability and validity. Performance expectancy, effort expectancy, social influence, and knowledge about COVID-19 have positive effects on behavioral intention. Facilitating condition, knowledge, and behavioral intention have significant effects on use behavior. Gender, age, education, income, and current marital status are significant moderators in the theoretical model. Conclusion: Having relevant knowledge on the pandemic, together with performance expectancy, effort expectancy, social influence, and facilitating condition, affects behavioral intention and usage behavior of Wuhan residents to wear masks at early stages of the COVID-19 pandemic. Subgroups have different psychological mechanisms based on their demographic characteristics. Practice implications: Health policy makers should focus on enhancing residents' knowledge on infectious disease and their awareness of the risk mitigation, and develop personalized measures for different subgroups. (c) 2020 Elsevier B.V. All rights reserved.

Automated summary

This study aims to identify factors influencing the behavioral intention of Wuhan City urban residents to wear masks, and found that relevant knowledge and awareness play significant roles in shaping behavioral intention and usage behavior. Different subgroups based on demographic characteristics have different psychological mechanisms.