Using Health Belief Model, TriRisk Model, and Fatalism to predict COVID-19 Social Distancing Compliance Behavior

Abstract

Objectives. The study has a translational focus to examine the applicability of the Health Belief Model, the TriRisk model, and fatalism-belief in the context of the COVID-19 disease, specifically to test if they help us predict recommended compliance behavior. Another objective is to examine how the three components of the TriRisk model work together. Background. Amid a raging COVID-19 pandemic, governments everywhere need to deploy more targeted strategies to make social distancing effective and reduce human to human transmission of the virus. Study design. The study predicted the lockdown compliance behaviour from constructs of the TriRisk model and fatalism-belief, using multiple linear regression and mediation analysis. Participants. 357 Participants across India; age range: 15—78 years; 41.5% men and 58.5% women. Measurements. Components of the health belief model, fatalism, and recommended compliance behavior were assessed using Multi-item and single-item scales. Results. Experiential risk perception was the strongest predictor of compliance behavior, followed by perceived barriers and gender. Deliberative risk perception and affective risk perception were significantly positively correlated with compliance behavior, though not statistically significant predictors. Experiential risk perception mediated the path between cognitive risk assessment and compliance behavior. Conclusions. The present study has implications for designing and trying out compliance enhancement intervention through use of appropriate experiential risk content in designing public campaigns to increase compliance behavior.

Keywords

• social distancing compliance behavior
• fatalism
• health belief model
• covid-19
• risk perception
• predictive model