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Applying the Modified Comprehensive Model of Information Seeking to Online Health Information Seeking in the Context of India
This study extends the Comprehensive Model of Information Seeking (CMIS) to online health information seeking in the context of India. This study considers the Internet (i.e., media) use an antecedent factor and the personal relevance factor salience is separated into two dimensions - susceptibility...
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Published in: | Journal of health communication 2018-01, Vol.23 (6), p.563-572 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This study extends the Comprehensive Model of Information Seeking (CMIS) to online health information seeking in the context of India. This study considers the Internet (i.e., media) use an antecedent factor and the personal relevance factor salience is separated into two dimensions - susceptibility and severity. Structural equation modeling analysis (N = 990) tested the associations between health-related antecedents, information-carrier factors, and their direct effects on online information seeking. The results among online health information seekers in India showed significant relationships between length and frequency of media use and self-efficacy to engage in preventive behavior to the information carrier utility. As predicted, demographics have no significant relationship with utility of the Internet, and direct experience with illness resulted in negative relationship with the Internet utility. Contrary to expectations, susceptibility and severity produced negative relationships with the Internet utility. Result shows that both information-carrier factors - characteristics related to trust and utility related to perceived usefulness and relevance of information - directly affect online health-information-seeking behavior. Unlike the original CMIS that primarily focused on specific illnesses, the current modified CMIS can be adapted and tailored to general online health-information-seeking behavior. |
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ISSN: | 1081-0730 1087-0415 |
DOI: | 10.1080/10810730.2018.1493058 |