Comprehensive Model of Information Seeking: A Meta-Analysis

Qinghua Yang, Stephanie K. Van Stee, Stephen A. Rains

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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 languageEnglish (US)
Pages (from-to)360-374
Number of pages15
JournalJournal of Health Communication
Volume28
Issue number6
DOIs
StatePublished - 2023

ASJC Scopus subject areas

  • Health(social science)
  • Communication
  • Public Health, Environmental and Occupational Health
  • Library and Information Sciences

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