Options
Different Length, Different Needs: Qualitative Analysis of Threads in Online Health Communities
Type
conference paper
Date Issued
2022
Author(s)
Abstract (De)
Online health communities provide a knowledge exchange platform for a wide range of diseases and health conditions. Informational and emotional support helps forum participants orient around health issues beyond in-person doctor visits. So far, little is known about the relation between the level of participation and participants’ contributions to online health communities. To gain insights on the issue, we analyzed 456 posts in 56 threads from the Dermatology sub-forum of an online health community. While low participation threads (’short threads’) revolved around solving an individual’s health issue through diagnosis suggestions and medical advice, participants in high participation threads (’long threads’) built collective knowledge and a sense of community, typically dis- cussing chronic and rare conditions that medical professionals were unfamiliar with or could not treat effectively. Our results suggest
that in short threads an individual’s health issue is addressed, while in long threads, sub-communities about specific rare and chronic diseases emerge. This has implications for the user interface de- sign of health forums, which could be developed to better support community-building elements, even in short threads.
that in short threads an individual’s health issue is addressed, while in long threads, sub-communities about specific rare and chronic diseases emerge. This has implications for the user interface de- sign of health forums, which could be developed to better support community-building elements, even in short threads.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
None
Book title
Proceedings of the International Conference on Healthcare Informatics
Publisher
IEEE
Event Title
IEEE International Conference on Healthcare Informatics
Subject(s)
Division(s)
Eprints ID
267092
File(s)
Loading...
open access
Name
2201.01688.pdf
Size
948.49 KB
Format
Adobe PDF
Checksum (MD5)
0bee9f6ae47de77890f529f752449e25