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Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions

The rapid growth of online health communities and the increasing availability of relational data from social media provide invaluable opportunities for using network science and big data analytics to better understand how patients and caregivers can benefit from online conversations. Here, we outlin...

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Detalles Bibliográficos
Autores principales: Panzarasa, Pietro, Griffiths, Christopher J, Sastry, Nishanth, De Simoni, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420688/
https://www.ncbi.nlm.nih.gov/pubmed/32720910
http://dx.doi.org/10.2196/16337
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author Panzarasa, Pietro
Griffiths, Christopher J
Sastry, Nishanth
De Simoni, Anna
author_facet Panzarasa, Pietro
Griffiths, Christopher J
Sastry, Nishanth
De Simoni, Anna
author_sort Panzarasa, Pietro
collection PubMed
description The rapid growth of online health communities and the increasing availability of relational data from social media provide invaluable opportunities for using network science and big data analytics to better understand how patients and caregivers can benefit from online conversations. Here, we outline a new network-based theory of social medical capital that will open up new avenues for conducting large-scale network studies of online health communities and devising effective policy interventions aimed at improving patients’ self-care and health.
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spelling pubmed-74206882020-08-20 Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions Panzarasa, Pietro Griffiths, Christopher J Sastry, Nishanth De Simoni, Anna J Med Internet Res Viewpoint The rapid growth of online health communities and the increasing availability of relational data from social media provide invaluable opportunities for using network science and big data analytics to better understand how patients and caregivers can benefit from online conversations. Here, we outline a new network-based theory of social medical capital that will open up new avenues for conducting large-scale network studies of online health communities and devising effective policy interventions aimed at improving patients’ self-care and health. JMIR Publications 2020-07-28 /pmc/articles/PMC7420688/ /pubmed/32720910 http://dx.doi.org/10.2196/16337 Text en ©Pietro Panzarasa, Christopher J Griffiths, Nishanth Sastry, Anna De Simoni. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 28.07.2020. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), 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 Viewpoint
Panzarasa, Pietro
Griffiths, Christopher J
Sastry, Nishanth
De Simoni, Anna
Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions
title Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions
title_full Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions
title_fullStr Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions
title_full_unstemmed Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions
title_short Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions
title_sort social medical capital: how patients and caregivers can benefit from online social interactions
topic Viewpoint
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420688/
https://www.ncbi.nlm.nih.gov/pubmed/32720910
http://dx.doi.org/10.2196/16337
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