Patterns of Reasons for Taiwanese Adults’ Health Information–Seeking Efforts: A Latent Class Analysis Approach

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The aims of this study were to use latent class analysis (LCA) to identify subgroups of adults in Taiwan based on their reasons for seeking health information and to explore predictors of subgroup membership. A questionnaire survey of 752 adults from 25 communities in Taiwan was conducted. LCA was used to identify distinct classes of participants; latent class regression was performed to identify factors predicting latent class membership. Three classes emerged through LCA. The Health-Improving Group (50.40%) reported high probabilities of reasons relevant to improving their or someone else’s health but low probabilities of reasons relevant to patient–provider interaction. The Active Group (32.98%) showed high probabilities of almost all of the reasons for seeking health information. The Passive Group (16.62%) showed low probabilities across all of the reasons. Compared to the Health-Improving Group, the Active Group was significantly more likely to have higher education and perceive higher information-seeking self-efficacy. The individuals in the Passive Group were significantly more likely to be male, be younger, have lower health literacy, and have fewer years of education than those in the Health-Improving Group. This LCA approach can provide important information on how communication strategies should be applied to different population subgroups.