Personas in online health communities

Jina Huh, Bum Chul Kwon, Sung Hee Kim, Sukwon Lee, Jaegul Choo, Jihoon Kim, Min Je Choi, Ji Soo Yi

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Many researchers and practitioners use online health communities (OHCs) to influence health behavior and provide patients with social support. One of the biggest challenges in this approach, however, is the rate of attrition. OHCs face similar problems as other social media platforms where user migration happens unless tailored content and appropriate socialization is supported. To provide tailored support for each OHC user, we developed personas in OHCs illustrating users’ needs and requirements in OHC use. To develop OHC personas, we first interviewed 16 OHC users and administrators to qualitatively understand varying user needs in OHC. Based on their responses, we developed an online survey to systematically investigate OHC personas. We received 184 survey responses from OHC users, which informed their values and their OHC use patterns. We performed open coding analysis with the interview data and cluster analysis with the survey data and consolidated the analyses of the two datasets. Four personas emerged—Caretakers, Opportunists, Scientists, and Adventurers. The results inform users’ interaction behavior and attitude patterns with OHCs. We discuss implications for how these personas inform OHCs in delivering personalized informational and emotional support.

Original languageEnglish
Pages (from-to)212-225
Number of pages14
JournalJournal of Biomedical Informatics
Volume63
DOIs
Publication statusPublished - 2016 Oct 1

Keywords

  • Consumer health informatics
  • Online health community
  • Online health information seeking
  • Patient support
  • Persona
  • Social support

ASJC Scopus subject areas

  • Computer Science Applications
  • Health Informatics

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  • Cite this

    Huh, J., Kwon, B. C., Kim, S. H., Lee, S., Choo, J., Kim, J., Choi, M. J., & Yi, J. S. (2016). Personas in online health communities. Journal of Biomedical Informatics, 63, 212-225. https://doi.org/10.1016/j.jbi.2016.08.019