Comprehensive Model of Information Seeking: A Meta-Analysis.

Area of Science:

• Health Communication
• Information Science
• Behavioral Science

Background:

• The Comprehensive Model of Information Seeking (CMIS) framework, proposed nearly 30 years ago, lacks systematic summarization of its scholarship.
• Existing research has not comprehensively evaluated the interplay between health beliefs and medium-related factors within the CMIS.
• Understanding factors influencing health information seeking is crucial for public health interventions.

Approach:

• Conducted 36 meta-analyses to identify bivariate relationships between CMIS variables.
• Utilized meta-analytic data to test path models assessing health beliefs and medium-related factors.
• Compared the fit of various models, including the original CMIS, medium-only, health-only, and a modified CMIS.

Key Points:

• Models focusing solely on communication medium factors or health factors demonstrated good data fit.
• A modified CMIS, integrating key elements, also showed a relatively good model fit.
• The original, unmodified CMIS framework did not achieve an acceptable model fit in the tested path models.

Conclusions:

• The original CMIS framework may require revision to accurately predict health information seeking behavior.
• Communication medium and health beliefs appear to be significant, potentially independent, predictors of health information seeking.
• Findings offer theoretical insights and practical implications for designing health communication strategies and interventions.