Comprehensive Model of Information Seeking: A Meta-Analysis

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

doi:10.1080/10810730.2023.2214097

Comprehensive Model of Information Seeking: A Meta-Analysis

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

Research output: Contribution to journal › Article › peer-review

3 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 language	English (US)
Pages (from-to)	360-374
Number of pages	15
Journal	Journal of Health Communication
Volume	28
Issue number	6
DOIs	https://doi.org/10.1080/10810730.2023.2214097
State	Published - 2023

ASJC Scopus subject areas

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

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10.1080/10810730.2023.2214097

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title = "Comprehensive Model of Information Seeking: A Meta-Analysis",

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.",

author = "Qinghua Yang and {Van Stee}, {Stephanie K.} and Rains, {Stephen A.}",

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year = "2023",

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T1 - Comprehensive Model of Information Seeking

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AU - Yang, Qinghua

AU - Van Stee, Stephanie K.

AU - Rains, Stephen A.

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AB - 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.

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Comprehensive Model of Information Seeking: A Meta-Analysis

Abstract

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