Information scanning in the COVID-19 pandemic: a test and expansion of the channel complementarity theory using latent class analysis
Abstract
Background: During health crisis, individuals need information to comprehend their circumstances. Channel complementarity theory posits that in meeting their informational needs, people will use different sources in a complementary fashion. This paper puts to test the main tenet of channel complementarity theory by focusing on information scanning (i.e. routine health information exposure) in the context of the COVID-19 pandemic in Chile. Method: A survey was conducted among a sample of Chilean adults (N = 2,805). The questionnaire addressed information scanning across six sources (television, radio, internet, social media, family, and friends or coworkers) and explores how socioeconomic and demographic variables, as well as COVID-19 perceived risk related to scanning. Latent class analysis was employed to identify patterns of complementarity across channels. Results: The analysis yielded a solution of five classes, namely âhigh complementarity and high frequencyâ (21%), âhigh complementarity and low frequencyâ (34%), âhigh frequency on television and digital mediaâ (19%), âmass media predominantâ (11%), and 'no scanningâ (15%). Educational attainment, age, and COVID-19 perceived risk were associated with scanning. Conclusions: Television was a central channel for information scanning during the pandemic in Chile and more than half of participants scanned COVID-19 information complementarily. Our findings expand channel complementarity theory to information scanning in a non-US context and provide guidelines for designing communication interventions aiming at informing individuals during a global health crisis.
Más información
| Título según WOS: | Information scanning in the COVID-19 pandemic: a test and expansion of the channel complementarity theory using latent class analysis |
| Título según SCOPUS: | Information scanning in the COVID-19 pandemic: a test and expansion of the channel complementarity theory using latent class analysis |
| Título de la Revista: | Journal of Communication in Healthcare |
| Volumen: | 16 |
| Número: | 3 |
| Editorial: | Taylor and Francis Ltd. |
| Fecha de publicación: | 2023 |
| Página de inicio: | 245 |
| Página final: | 254 |
| Idioma: | English |
| DOI: |
10.1080/17538068.2023.2228038 |
| Notas: | ISI, SCOPUS |