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dc.contributor.authorJoglekar, Sagar
dc.contributor.authorSastry, Nishanth
dc.contributor.authorCoulson, Neil S
dc.contributor.authorTaylor, Stephanie Jc
dc.contributor.authorPatel, Anita
dc.contributor.authorDuschinsky, Robbie
dc.contributor.authorAnand, Amrutha
dc.contributor.authorJameson Evans, Matt
dc.contributor.authorGriffiths, Chris J
dc.contributor.authorSheikh, Aziz
dc.contributor.authorPanzarasa, Pietro
dc.contributor.authorDe Simoni, Anna
dc.date.accessioned2018-11-05T10:25:26Z
dc.date.available2018-11-05T10:25:26Z
dc.date.issued2018-07-11
dc.identifier.issn1438-8871
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/284588
dc.description.abstractBACKGROUND: Self-management support can improve health and reduce health care utilization by people with long-term conditions. Online communities for people with long-term conditions have the potential to influence health, usage of health care resources, and facilitate illness self-management. Only recently, however, has evidence been reported on how such communities function and evolve, and how they support self-management of long-term conditions in practice. OBJECTIVE: The aim of this study is to gain a better understanding of the mechanisms underlying online self-management support systems by analyzing the structure and dynamics of the networks connecting users who write posts over time. METHODS: We conducted a longitudinal network analysis of anonymized data from 2 patients' online communities from the United Kingdom: the Asthma UK and the British Lung Foundation (BLF) communities in 2006-2016 and 2012-2016, respectively. RESULTS: The number of users and activity grew steadily over time, reaching 3345 users and 32,780 posts in the Asthma UK community, and 19,837 users and 875,151 posts in the BLF community. People who wrote posts in the Asthma UK forum tended to write at an interval of 1-20 days and six months, while those in the BLF community wrote at an interval of two days. In both communities, most pairs of users could reach one another either directly or indirectly through other users. Those who wrote a disproportionally large number of posts (the superusers) represented 1% of the overall population of both Asthma UK and BLF communities and accounted for 32% and 49% of the posts, respectively. Sensitivity analysis showed that the removal of superusers would cause the communities to collapse. Thus, interactions were held together by very few superusers, who posted frequently and regularly, 65% of them at least every 1.7 days in the BLF community and 70% every 3.1 days in the Asthma UK community. Their posting activity indirectly facilitated tie formation between other users. Superusers were a constantly available resource, with a mean of 80 and 20 superusers active at any one time in the BLF and Asthma UK communities, respectively. Over time, the more active users became, the more likely they were to reply to other users' posts rather than to write new ones, shifting from a help-seeking to a help-giving role. This might suggest that superusers were more likely to provide than to seek advice. CONCLUSIONS: In this study, we uncover key structural properties related to the way users interact and sustain online health communities. Superusers' engagement plays a fundamental sustaining role and deserves research attention. Further studies are needed to explore network determinants of the effectiveness of online engagement concerning health-related outcomes. In resource-constrained health care systems, scaling up online communities may offer a potentially accessible, wide-reaching and cost-effective intervention facilitating greater levels of self-management.
dc.format.mediumElectronic
dc.languageeng
dc.publisherJMIR Publications Inc.
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectHumans
dc.subjectAsthma
dc.subjectSocial Support
dc.subjectEducation, Distance
dc.subjectFemale
dc.subjectMale
dc.subjectSocial Networking
dc.subjectUnited Kingdom
dc.titleHow Online Communities of People With Long-Term Conditions Function and Evolve: Network Analysis of the Structure and Dynamics of the Asthma UK and British Lung Foundation Online Communities.
dc.typeArticle
prism.issueIdentifier7
prism.publicationDate2018
prism.publicationNameJ Med Internet Res
prism.startingPagee238
prism.volume20
dc.identifier.doi10.17863/CAM.31963
dcterms.dateAccepted2018-05-12
rioxxterms.versionofrecord10.2196/jmir.9952
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-07-11
dc.contributor.orcidJoglekar, Sagar [0000-0002-8388-9137]
dc.contributor.orcidSastry, Nishanth [0000-0002-4053-0386]
dc.contributor.orcidCoulson, Neil S [0000-0001-9940-909X]
dc.contributor.orcidTaylor, Stephanie Jc [0000-0001-7454-6354]
dc.contributor.orcidPatel, Anita [0000-0003-0769-1732]
dc.contributor.orcidDuschinsky, Robbie [0000-0003-2023-5328]
dc.contributor.orcidAnand, Amrutha [0000-0002-1117-5266]
dc.contributor.orcidJameson Evans, Matt [0000-0001-9738-4490]
dc.contributor.orcidGriffiths, Chris J [0000-0001-7935-8694]
dc.contributor.orcidSheikh, Aziz [0000-0001-7022-3056]
dc.contributor.orcidPanzarasa, Pietro [0000-0001-7596-4806]
dc.contributor.orcidDe Simoni, Anna [0000-0001-6955-0885]
dc.identifier.eissn1438-8871
rioxxterms.typeJournal Article/Review
cam.issuedOnline2018-07-11


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International