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

12 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

Fingerprint

Health
Social Media
Socialization
Health Behavior
Cluster analysis
Administrative Personnel
Social Support
Cluster Analysis
Research Personnel
Interviews

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

Cite this

Huh, J., Kwon, B. C., Kim, S. H., Lee, S., Choo, J., Kim, 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

Personas in online health communities. / Huh, Jina; Kwon, Bum Chul; Kim, Sung Hee; Lee, Sukwon; Choo, Jaegul; Kim, Jihoon; Choi, Min Je; Yi, Ji Soo.

In: Journal of Biomedical Informatics, Vol. 63, 01.10.2016, p. 212-225.

Research output: Contribution to journalArticle

Huh, J, Kwon, BC, Kim, SH, Lee, S, Choo, J, Kim, J, Choi, MJ & Yi, JS 2016, 'Personas in online health communities', Journal of Biomedical Informatics, vol. 63, pp. 212-225. https://doi.org/10.1016/j.jbi.2016.08.019
Huh, Jina ; Kwon, Bum Chul ; Kim, Sung Hee ; Lee, Sukwon ; Choo, Jaegul ; Kim, Jihoon ; Choi, Min Je ; Yi, Ji Soo. / Personas in online health communities. In: Journal of Biomedical Informatics. 2016 ; Vol. 63. pp. 212-225.
@article{5be3573c31d74746b4ee60035e02da8f,
title = "Personas in online health communities",
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.",
keywords = "Consumer health informatics, Online health community, Online health information seeking, Patient support, Persona, Social support",
author = "Jina Huh and Kwon, {Bum Chul} and Kim, {Sung Hee} and Sukwon Lee and Jaegul Choo and Jihoon Kim and Choi, {Min Je} and Yi, {Ji Soo}",
year = "2016",
month = "10",
day = "1",
doi = "10.1016/j.jbi.2016.08.019",
language = "English",
volume = "63",
pages = "212--225",
journal = "Journal of Biomedical Informatics",
issn = "1532-0464",
publisher = "Academic Press Inc.",

}

TY - JOUR

T1 - Personas in online health communities

AU - Huh, Jina

AU - Kwon, Bum Chul

AU - Kim, Sung Hee

AU - Lee, Sukwon

AU - Choo, Jaegul

AU - Kim, Jihoon

AU - Choi, Min Je

AU - Yi, Ji Soo

PY - 2016/10/1

Y1 - 2016/10/1

N2 - 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.

AB - 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.

KW - Consumer health informatics

KW - Online health community

KW - Online health information seeking

KW - Patient support

KW - Persona

KW - Social support

UR - http://www.scopus.com/inward/record.url?scp=84985914311&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84985914311&partnerID=8YFLogxK

U2 - 10.1016/j.jbi.2016.08.019

DO - 10.1016/j.jbi.2016.08.019

M3 - Article

C2 - 27568913

AN - SCOPUS:84985914311

VL - 63

SP - 212

EP - 225

JO - Journal of Biomedical Informatics

JF - Journal of Biomedical Informatics

SN - 1532-0464

ER -