This paper is in the following e-collection/theme issue:

Viewpoints and Perspectives (514) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Peer-to-Peer Support and Online Communities (636)

Published on in Vol 22, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16337, first published .
Social Medical Capital: How Patients and Caregivers Can Benefit From Online Social Interactions

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

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

Authors of this article:

Pietro Panzarasa1 Author Orcid Image ;   Christopher J Griffiths2 Author Orcid Image ;   Nishanth Sastry3 Author Orcid Image ;   Anna De Simoni2 Author Orcid Image
Article Authors Cited by (19) Tweetations (14) Metrics

Journals

  1. De Simoni A, Shah A, Fulton O, Parkinson J, Sheikh A, Panzarasa P, Pagliari C, Coulson N, Griffiths C. Superusers’ Engagement in Asthma Online Communities: Asynchronous Web-Based Interview Study. Journal of Medical Internet Research 2020;22(6):e18185 View
  2. Poecze F, Strauss C. Social Capital on Social Media—Concepts, Measurement Techniques and Trends in Operationalization. Information 2020;11(11):515 View
  3. Tabatabaee M, Yousefi Nooraie R, Mohammad Aghaei A, Rostam-Abadi Y, Ansari M, Sharifi S, Sharifi V. Loneliness in the presence of others: A mixed-method study of social networks of caregivers of patients with severe mental disorders. International Journal of Social Psychiatry 2023;69(1):190 View
  4. Morrow E, Zidaru T, Ross F, Mason C, Patel K, Ream M, Stockley R. Artificial intelligence technologies and compassion in healthcare: A systematic scoping review. Frontiers in Psychology 2023;13 View
  5. Andreou A, Dhand A, Vassilev I, Griffiths C, Panzarasa P, De Simoni A. Understanding Online and Offline Social Networks in Illness Management of Older Patients With Asthma and Chronic Obstructive Pulmonary Disease: Mixed Methods Study Using Quantitative Social Network Assessment and Qualitative Analysis. JMIR Formative Research 2022;6(5):e35244 View
  6. Garrido A, Martínez de Toda I, Díaz del Cerro E, Félix J, Ceprián N, González-Sánchez M, De la Fuente M. Social environment as a modulator of immunosenescence. Expert Reviews in Molecular Medicine 2022;24 View
  7. Karatas M, Eriskin L, Deveci M, Pamucar D, Garg H. Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives. Expert Systems with Applications 2022;200:116912 View
  8. Renner S, Loussikian P, Foulquié P, Marrel A, Barbier V, Mebarki A, Schück S, Bharmal M. Patient and Caregiver Perceptions of Advanced Bladder Cancer Systemic Treatments: Infodemiology Study Based on Social Media Data. JMIR Cancer 2023;9:e45011 View
  9. Díaz-Del Cerro E, Félix J, De la Fuente M. El tacto, un sentido crucial en las interacciones sociales para mejorar la homeostasis en el envejecimiento y promover una longevidad saludable. Revista Española de Geriatría y Gerontología 2023;58(3):161 View
  10. Agarwal V, Young A, Joglekar S, Sastry N. A Graph-Based Context-Aware Model to Understand Online Conversations. ACM Transactions on the Web 2024;18(1):1 View
  11. Byrne C, Pfeffer P, De Simoni A. Experiences of Diagnosis, Symptoms, and Use of Reliever Inhalers in Patients With Asthma and Concurrent Inducible Laryngeal Obstruction or Breathing Pattern Disorder: Qualitative Analysis of a UK Asthma Online Community. Journal of Medical Internet Research 2023;25:e44453 View
  12. Wright W, Howdle C, Coulson N, De Simoni A. Exploring the Types of Social Support Exchanged by Survivors of Pediatric Stroke and Their Families in an Online Peer Support Community: Qualitative Thematic Analysis. Journal of Medical Internet Research 2024;26:e49440 View
  13. Howdle C, Wright W, Mant J, De Simoni A. Factors Influencing Recovery From Pediatric Stroke Based on Discussions From a UK-Based Online Stroke Community: Qualitative Thematic Study. Journal of Medical Internet Research 2024;26:e49409 View
  14. Li X, Gill A, Panzarasa P, Bestwick J, Schrag A, Noyce A, De Simoni A. Web Application to Enable Online Social Interactions in a Parkinson Disease Risk Cohort: Feasibility Study and Social Network Analysis. JMIR Formative Research 2024;8:e51977 View
  15. Hou S, Wang X, Zhao Z, Ma Y, Liu J, Zhang Z, Ma J. A Scale for Measuring Electronic Patient Engagement Behaviors: Development and Validation. Patient Preference and Adherence 2024;Volume 18:917 View
  16. Yang Y, Guo X, Wu T, Vogel D. Formation of professional social networks via physicians’ online engagement: Evidence from Sina Weibo and Sina Health. Information & Management 2024;61(7):103981 View
  17. Legg D, Meisel A, Stein M, Gerischer L, Herdick M, Krüger D, Mergenthaler P, Masanneck L, Lehnerer S. Myasthenia Gravis: utilising cross-platform quantitative content analysis to uncover and validate unmet needs. Frontiers in Neurology 2024;15 View
  18. Bujanda-Sainz de Murieta A, Isomursu M, Escalada-Hernández P, San Martín-Rodríguez L, García-Vivar C, Soto-Ruiz N. Challenges of Creating a Peer Support Online Community for Patients With Diabetes—A Case Study. CIN: Computers, Informatics, Nursing 2024 View