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Unpacking Peer Conversations in a Virtual Communitiy for Diabetes Self-Management Education and Support: Behavior Science and Linguistics Perspective.
Pérez-Aldana, Carlos A; Lewinski, Allison A; Johnson, Constance M; Vorderstrasse, Allison A; Myneni, Sahiti.
Afiliação
  • Pérez-Aldana CA; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Lewinski AA; Durham Veterans Affairs Medical Center, Durham Center of Innovation to Accelerate Discovery and Practice Transformation, Durham, North Carolina, USA.
  • Johnson CM; Duke University School of Nursing, Durham, North Carolina, USA.
  • Vorderstrasse AA; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
  • Myneni S; Cizik School of Nursing, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Stud Health Technol Inform ; 284: 25-30, 2021 Dec 15.
Article em En | MEDLINE | ID: mdl-34920461
ABSTRACT
Diabetes is a chronic disease that can be effectively managed and controlled using strategies such as self-management education and ongoing support. Virtual environments offer innovative and realistic settings where patients can achieve self-management education and obtain ongoing self-management support from peers and healthcare professionals. Transcribed real-time conversations in an innovative virtual community were analyzed using qualitative and linguistic analysis. These virtual interactions were manually coded to identify embedded behavior change techniques and linguistic features. Results showed 13 behavior change techniques were manifested. Further, language differences were observed between behavior change techniques and social support types. Our research can provide valuable insights into the design of effective digital health interventions that maximize sustained use of virtual environments, subsequently impacting self-management of chronic conditions such as diabetes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Autogestão Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus / Autogestão Tipo de estudo: Qualitative_research Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos