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

Aging with Chronic Disease (132) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1788) Social Media for Diabetes (36) Social Media in Aging (30)

Published on in Vol 1, No 1 (2018): Jan-Jun

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10176, first published .
Diabetes Online Community User Perceptions of Successful Aging With Diabetes: Analysis of a #DSMA Tweet Chat

Diabetes Online Community User Perceptions of Successful Aging With Diabetes: Analysis of a #DSMA Tweet Chat

Diabetes Online Community User Perceptions of Successful Aging With Diabetes: Analysis of a #DSMA Tweet Chat

Authors of this article:

Michelle L Litchman1 Author Orcid Image ;   Christopher Snider2 Author Orcid Image ;   Linda S Edelman1 Author Orcid Image ;   Sarah E Wawrzynski1 Author Orcid Image ;   Perry M Gee1, 3 Author Orcid Image
Article Authors Cited by (13) Tweetations (30) Metrics

Journals

  1. Litchman M, Edelman L. Perceptions of the Diabetes Online Community’s Credibility, Social Capital, and Help and Harm: Cross-Sectional Comparison Between Baby Boomers and Younger Adults. JMIR Aging 2019;2(2):e10857 View
  2. Elnaggar A, Ta Park V, Lee S, Bender M, Siegmund L, Park L. Patients’ Use of Social Media for Diabetes Self-Care: Systematic Review. Journal of Medical Internet Research 2020;22(4):e14209 View
  3. Salmi L, Lum H, Hayden A, Reblin M, Otis-Green S, Venechuk G, Morris M, Griff M, Kwan B. Stakeholder engagement in research on quality of life and palliative care for brain tumors: a qualitative analysis of #BTSM and #HPM tweet chats. Neuro-Oncology Practice 2020;7(6):676 View
  4. Greenwood D, Ross T, Reifsnider E. Applying a Solution-Focused Approach to Life With Diabetes: Insights Gleaned via Twitter. The Diabetes Educator 2020;46(5):485 View
  5. Litchman M, Walker H, Ng A, Wawrzynski S, Oser S, Greenwood D, Gee P, Lackey M, Oser T. State of the Science: A Scoping Review and Gap Analysis of Diabetes Online Communities. Journal of Diabetes Science and Technology 2019;13(3):466 View
  6. Oser T, Oser S, Parascando J, Hessler-Jones D, Sciamanna C, Sparling K, Nease D, Litchman M. Social Media in the Diabetes Community: a Novel Way to Assess Psychosocial Needs in People with Diabetes and Their Caregivers. Current Diabetes Reports 2020;20(3) View
  7. Cuevas H, Carter S. Nurse-Talk Ratios as a Measure of Participation in a Cognitive Rehabilitation Intervention for People With Type 2 Diabetes. Research and Theory for Nursing Practice 2021;35(1):67 View
  8. Bedford-Petersen C, Weston S. Mapping Individual Differences on the Internet: Case Study of the Type 1 Diabetes Community. JMIR Diabetes 2021;6(4):e30756 View
  9. Gonzales B, Litchman M, Wawrzynski S, Gomez Hoyos M, Ferrer M, Sun Y. Salud Latina: feasibility of a synchronous online chat for latinos at risk for type 2 diabetes. Informatics for Health and Social Care 2023;48(1):95 View
  10. Ossai C, Wickramasinghe N. Automatic user sentiments extraction from diabetes mobile apps – An evaluation of reviews with machine learning. Informatics for Health and Social Care 2023;48(3):211 View
  11. Fu J, Li C, Zhou C, Li W, Lai J, Deng S, Zhang Y, Guo Z, Wu Y. Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review. Journal of Medical Internet Research 2023;25:e43349 View
  12. Zhang Y, Fu J, Lai J, Deng S, Guo Z, Zhong C, Tang J, Cao W, Wu Y. Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review. Journal of Medical Internet Research 2024;26:e51496 View
  13. Nakanishi A, Ichikawa M, Sano Y. Public Discourse Toward Older Drivers in Japan: Longitudinal Analysis of Social Media Data from 2010 to 2022 (Preprint). JMIR Infodemiology 2024 View