Abstract
The comprehensive model of information seeking (CMIS) is a well-known framework to predict health information seeking by a combination of health beliefs and medium-related factors. Despite being proposed almost three decades ago, few efforts have been made to systematically summarize CMIS scholarship. To fill this gap in the literature, 36 meta-analyses were first conducted to identify the bivariate relationships between variables in the CMIS. These meta-analytic data were then used to test path models evaluating the role of health beliefs and medium-related factors. The results showed that the models containing only factors related to the communication medium, only health factors, and a modified version of the CMIS fit the data relatively well. The original CMIS did not demonstrate an acceptable model fit. Theoretical and practical implications are discussed.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 360-374 |
| Number of pages | 15 |
| Journal | Journal of Health Communication |
| Volume | 28 |
| Issue number | 6 |
| DOIs | |
| State | Published - 2023 |
ASJC Scopus subject areas
- Health(social science)
- Communication
- Public Health, Environmental and Occupational Health
- Library and Information Sciences