Your browser doesn't support javascript.
loading
Opening the Black Box of an mHealth Patient-Reported Outcome Tool for Diabetes Self-Management: Interview Study Among Patients With Type 2 Diabetes.
Marini, Christina; Cruz, Jocelyn; Payano, Leydi; Flores, Ronaldo Patino; Arena, Gina-Maria; Mandal, Soumik; Leven, Eric; Mann, Devin; Schoenthaler, Antoinette.
Afiliação
  • Marini C; Department of Neurology, NYU Langone, New York, NY, United States.
  • Cruz J; Center for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY, United States.
  • Payano L; Center for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY, United States.
  • Flores RP; Center for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY, United States.
  • Arena GM; Center for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY, United States.
  • Mandal S; Center for Healthful Behavior Change, Institute for Excellence in Health Equity, NYU Langone Health, New York, NY, United States.
  • Leven E; Department of Technology Management & Innovation, NYU Tandon School of Engineering, New York, NY, United States.
  • Mann D; Department of Technology Management & Innovation, NYU Tandon School of Engineering, New York, NY, United States.
  • Schoenthaler A; Department of Population Health, Healthcare Innovation Bridging Research, Informatics and Design Lab, NYU Langone Health, New York, NY, United States.
JMIR Form Res ; 7: e47811, 2023 Sep 19.
Article em En | MEDLINE | ID: mdl-37725427
Palavras-chave
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials / Prognostic_studies / Qualitative_research Idioma: En Ano de publicação: 2023 Tipo de documento: Article