Beyond Depth and Breadth: Taking “Types” of Health Information Sought into Consideration with Cluster Analysis
- 2 January 2022
- journal article
- research article
- Published by Taylor & Francis Ltd in Journal of Health Communication
- Vol. 27 (1), 27-36
- https://doi.org/10.1080/10810730.2022.2029978
Abstract
Online health information-seeking behavior (OHIS) has been typically operationalized in an aggregate form representing either depth (e.g., how long) or breadth (e.g., how much) of seeking, which is irrespective of what types of information are sought. Recognizing limitations of such practice, this research employs cluster analysis to reflect the content and types of health information sought in studying OHIS. Three online studies providing participants with opportunities to actually seek information about meningitis (Study 1; N = 408), Alzheimer’s disease (Study 2; N = 190), and cancer (Study 3; N = 208) recorded the participants’ information-seeking activities unobtrusively. Across the three studies, cluster analysis identified three common clusters representing distinctive information-seeking patterns (i.e., combinations of different types of information sought): One cluster sought information on “overview,” the second one focused on “protection” information, and the third cluster sought “all” types of information provided. The relative preference for these types of information was predicted by several antecedents of information-seeking behavior proposed in Comprehensive Model of Information Seeking (CMIS) including age, fear, self- and response-efficacy. The findings demonstrate the utility of taking the actual content or types of health information sought into consideration and suggest several fruitful avenues it paves for future research on OHIS.Keywords
Funding Information
- Yonsei University Future-leading Research Initiative (Grant 2021-22-0313)
- National Research Foundation of Korea
- Korea government (2021R1A2C1093526)
This publication has 30 references indexed in Scilit:
- Health information seeking: A review of measures and methodsPatient Education and Counseling, 2011
- Genre-Specific Cultivation EffectsCommunication Research, 2010
- Health Information–Seeking Behaviors, Health Indicators, and Health RisksAmerican Journal of Public Health, 2010
- PRISM: A Planned Risk Information Seeking ModelHealth Communication, 2010
- Factors Associated with Use of Interactive Cancer Communication System: An Application of the Comprehensive Model of Information SeekingJournal of Computer-Mediated Communication, 2010
- Connecting Internet Use with Gaps in Cancer KnowledgeHealth Communication, 2008
- The Internet and Tobacco Cessation: The Roles of Internet Self-Efficacy and Search Task on the Information-Seeking ProcessJournal of Computer-Mediated Communication, 2006
- Pessimistic Bias in Comparative Evaluations: A Case of Perceived Vulnerability to the Effects of Negative Life EventsPersonality and Social Psychology Bulletin, 2001
- Predicting Risk Behaviors: Development and Validation of a Diagnostic ScaleJournal of Health Communication, 1996
- Putting the fear back into fear appeals: The extended parallel process modelCommunication Monographs, 1992