In Pursuit of Theoretical Ground in Behavior Change Support Systems: Analysis of Peer-to-Peer Communication in a Health-Related Online Community

Journal of Medical Internet Research
Sahiti MyneniTrevor Cohen

Abstract

Research studies involving health-related online communities have focused on examining network structure to understand mechanisms underlying behavior change. Content analysis of the messages exchanged in these communities has been limited to the "social support" perspective. However, existing behavior change theories suggest that message content plays a prominent role reflecting several sociocognitive factors that affect an individual's efforts to make a lifestyle change. An understanding of these factors is imperative to identify and harness the mechanisms of behavior change in the Health 2.0 era. The objective of this work is two-fold: (1) to harness digital communication data to capture essential meaning of communication and factors affecting a desired behavior change, and (2) to understand the applicability of existing behavior change theories to characterize peer-to-peer communication in online platforms. In this paper, we describe grounded theory-based qualitative analysis of digital communication in QuitNet, an online community promoting smoking cessation. A database of 16,492 de-identified public messages from 1456 users from March 1-April 30, 2007, was used in our study. We analyzed 795 messages using grounded theory t...Continue Reading

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Citations

Dec 20, 2019·Journal of Medical Internet Research·Sherry PagotoRan Xu
Sep 30, 2019·Journal of Community Health·Linda HillSara Baird
Dec 11, 2019·Journal of Cancer Survivorship : Research and Practice·Junjie Zhou, Changyu Wang
Jan 11, 2017·Journal of the American Medical Informatics Association : JAMIA·Rupa S ValdezHannah K Menefee
Apr 2, 2020·American Journal of Lifestyle Medicine·Anne KuwabaraJeffrey Krauss
Dec 1, 2020·JMIR Public Health and Surveillance·Tavleen SinghSahiti Myneni

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Methods Mentioned

BETA
pharmacotherapy

Software Mentioned

PatientsLikeMe
NVivo
Sparkpeople
TTM
QuitNet

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