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Website Sharing in Online Health Communities: A Descriptive Analysis

BACKGROUND: An increasing number of people visit online health communities to seek health information. In these communities, people share experiences and information with others, often complemented with links to different websites. Understanding how people share websites can help us understand patie...

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Autores principales: Nath, Chinmoy, Huh, Jina, Adupa, Abhishek Kalyan, Jonnalagadda, Siddhartha R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730108/
https://www.ncbi.nlm.nih.gov/pubmed/26764193
http://dx.doi.org/10.2196/jmir.5237
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author Nath, Chinmoy
Huh, Jina
Adupa, Abhishek Kalyan
Jonnalagadda, Siddhartha R
author_facet Nath, Chinmoy
Huh, Jina
Adupa, Abhishek Kalyan
Jonnalagadda, Siddhartha R
author_sort Nath, Chinmoy
collection PubMed
description BACKGROUND: An increasing number of people visit online health communities to seek health information. In these communities, people share experiences and information with others, often complemented with links to different websites. Understanding how people share websites can help us understand patients’ needs in online health communities and improve how peer patients share health information online. OBJECTIVE: Our goal was to understand (1) what kinds of websites are shared, (2) information quality of the shared websites, (3) who shares websites, (4) community differences in website-sharing behavior, and (5) the contexts in which patients share websites. We aimed to find practical applications and implications of website-sharing practices in online health communities. METHODS: We used regular expressions to extract URLs from 10 WebMD online health communities. We then categorized the URLs based on their top-level domains. We counted the number of trust codes (eg, accredited agencies’ formal evaluation and PubMed authors’ institutions) for each website to assess information quality. We used descriptive statistics to determine website-sharing activities. To understand the context of the URL being discussed, we conducted a simple random selection of 5 threads that contained at least one post with URLs from each community. Gathering all other posts in these threads resulted in 387 posts for open coding analysis with the goal of understanding motivations and situations in which website sharing occurred. RESULTS: We extracted a total of 25,448 websites. The majority of the shared websites were .com (59.16%, 15,056/25,448) and WebMD internal (23.2%, 5905/25,448) websites; the least shared websites were social media websites (0.15%, 39/25,448). High-posting community members and moderators posted more websites with trust codes than low-posting community members did. The heart disease community had the highest percentage of websites containing trust codes compared to other communities. Members used websites to disseminate information, supportive evidence, resources for social support, and other ways to communicate. CONCLUSIONS: Online health communities can be used as important health care information resources for patients and caregivers. Our findings inform patients’ health information–sharing activities. This information assists health care providers, informaticians, and online health information entrepreneurs and developers in helping patients and caregivers make informed choices.
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spelling pubmed-47301082016-02-16 Website Sharing in Online Health Communities: A Descriptive Analysis Nath, Chinmoy Huh, Jina Adupa, Abhishek Kalyan Jonnalagadda, Siddhartha R J Med Internet Res Original Paper BACKGROUND: An increasing number of people visit online health communities to seek health information. In these communities, people share experiences and information with others, often complemented with links to different websites. Understanding how people share websites can help us understand patients’ needs in online health communities and improve how peer patients share health information online. OBJECTIVE: Our goal was to understand (1) what kinds of websites are shared, (2) information quality of the shared websites, (3) who shares websites, (4) community differences in website-sharing behavior, and (5) the contexts in which patients share websites. We aimed to find practical applications and implications of website-sharing practices in online health communities. METHODS: We used regular expressions to extract URLs from 10 WebMD online health communities. We then categorized the URLs based on their top-level domains. We counted the number of trust codes (eg, accredited agencies’ formal evaluation and PubMed authors’ institutions) for each website to assess information quality. We used descriptive statistics to determine website-sharing activities. To understand the context of the URL being discussed, we conducted a simple random selection of 5 threads that contained at least one post with URLs from each community. Gathering all other posts in these threads resulted in 387 posts for open coding analysis with the goal of understanding motivations and situations in which website sharing occurred. RESULTS: We extracted a total of 25,448 websites. The majority of the shared websites were .com (59.16%, 15,056/25,448) and WebMD internal (23.2%, 5905/25,448) websites; the least shared websites were social media websites (0.15%, 39/25,448). High-posting community members and moderators posted more websites with trust codes than low-posting community members did. The heart disease community had the highest percentage of websites containing trust codes compared to other communities. Members used websites to disseminate information, supportive evidence, resources for social support, and other ways to communicate. CONCLUSIONS: Online health communities can be used as important health care information resources for patients and caregivers. Our findings inform patients’ health information–sharing activities. This information assists health care providers, informaticians, and online health information entrepreneurs and developers in helping patients and caregivers make informed choices. JMIR Publications Inc. 2016-01-13 /pmc/articles/PMC4730108/ /pubmed/26764193 http://dx.doi.org/10.2196/jmir.5237 Text en ©Chinmoy Nath, Jina Huh, Abhishek Kalyan Adupa, Siddhartha R Jonnalagadda. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 13.01.2016. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Nath, Chinmoy
Huh, Jina
Adupa, Abhishek Kalyan
Jonnalagadda, Siddhartha R
Website Sharing in Online Health Communities: A Descriptive Analysis
title Website Sharing in Online Health Communities: A Descriptive Analysis
title_full Website Sharing in Online Health Communities: A Descriptive Analysis
title_fullStr Website Sharing in Online Health Communities: A Descriptive Analysis
title_full_unstemmed Website Sharing in Online Health Communities: A Descriptive Analysis
title_short Website Sharing in Online Health Communities: A Descriptive Analysis
title_sort website sharing in online health communities: a descriptive analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4730108/
https://www.ncbi.nlm.nih.gov/pubmed/26764193
http://dx.doi.org/10.2196/jmir.5237
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