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Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol.

Publication ,  Journal Article
Lewinski, AA; Anderson, RA; Vorderstrasse, AA; Fisher, EB; Pan, W; Johnson, CM
Published in: JMIR research protocols
April 2017

Individuals with type 2 diabetes have an increased risk for comorbidities such as heart disease, lower limb amputations, stroke, and renal failure. Multiple factors influence development of complications in a person living with type 2 diabetes; however, an individual's self-management behaviors may delay the onset of, or lessen the severity of, these complications. Social support provides personal, informal advice and knowledge that helps individuals initiate and sustain self-management and adherence.Our aim was to gain an understanding of type 2 diabetes social interaction in a virtual environment, one type of computer-mediated environment (CME), and the social support characteristics that increase and sustain self-management in adults living with chronic illness.This study is a secondary analysis of longitudinal data collected in a CME study, Second Life Impacts Diabetes Education & Self-Management (1R21-LM010727-01). This virtual environment replicated a real-life community where 6 months of naturalistic synchronous voice conversations, emails, and text chats were recorded among participants and providers. This analysis uses a mixed-methods approach to explore and compare qualitative and quantitative findings. This analysis is guided by two theories: Strong/Weak Ties Theory and Social Penetration Theory. Qualitative data will be analyzed using content analysis, and we will complete descriptive statistics on the quantified variables (eg, average number of ties). Institutional review board approval was obtained in June 2016.This study is in progress.Interventions provided through virtual environments are a promising solution to increasing self-management practices. However, little is known of the depth, breadth, and quality of social support that is exchanged and how interaction supports self-management and relates to health outcomes. This study will provide knowledge that will help guide clinical practice and policy to enhance social support for chronic illness via the Internet.

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Published In

JMIR research protocols

DOI

EISSN

1929-0748

ISSN

1929-0748

Publication Date

April 2017

Volume

6

Issue

4

Start / End Page

e65

Related Subject Headings

  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Lewinski, A. A., Anderson, R. A., Vorderstrasse, A. A., Fisher, E. B., Pan, W., & Johnson, C. M. (2017). Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol. JMIR Research Protocols, 6(4), e65. https://doi.org/10.2196/resprot.7442
Lewinski, Allison A., Ruth A. Anderson, Allison A. Vorderstrasse, Edwin B. Fisher, Wei Pan, and Constance M. Johnson. “Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol.JMIR Research Protocols 6, no. 4 (April 2017): e65. https://doi.org/10.2196/resprot.7442.
Lewinski AA, Anderson RA, Vorderstrasse AA, Fisher EB, Pan W, Johnson CM. Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol. JMIR research protocols. 2017 Apr;6(4):e65.
Lewinski, Allison A., et al. “Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol.JMIR Research Protocols, vol. 6, no. 4, Apr. 2017, p. e65. Epmc, doi:10.2196/resprot.7442.
Lewinski AA, Anderson RA, Vorderstrasse AA, Fisher EB, Pan W, Johnson CM. Analyzing Unstructured Communication in a Computer-Mediated Environment for Adults With Type 2 Diabetes: A Research Protocol. JMIR research protocols. 2017 Apr;6(4):e65.

Published In

JMIR research protocols

DOI

EISSN

1929-0748

ISSN

1929-0748

Publication Date

April 2017

Volume

6

Issue

4

Start / End Page

e65

Related Subject Headings

  • 1117 Public Health and Health Services
  • 1103 Clinical Sciences